# rss_items

title: The offline desk gadget that actually got me to sit up straight
feed_id: techcrunch
url: https://techcrunch.com/2026/05/16/the-offline-desk-gadget-that-actually-got-me-to-sit-up-straight/
guid: https://techcrunch.com/?p=3111720
published_at: 2026-05-16T16:00:00
author: Ivan Mehta
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Deep Care's $350 device is pricy, but it runs offline and helps you improve your posture and movement habits


title: OpenAI co-founder Greg Brockman takes charge of product strategy
feed_id: techcrunch
guid: https://techcrunch.com/?p=3123362
published_at: 2026-05-16T15:33:33
author: Anthony Ha
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
url:
https://techcrunch.com/2026/05/16/openai-co-founder-greg-brockman-reportedly-takes-charge-of-product-strategy/

summary:
OpenAI's latest shakeup comes as the company reportedly plans to combine ChatGPT and its programming product Codex.


title: $60B AI chip darling Cerebras almost died early on, burning $8M a month
feed_id: techcrunch
guid: https://techcrunch.com/?p=3122893
published_at: 2026-05-16T15:00:00
author: Julie Bort
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
url:
https://techcrunch.com/2026/05/16/60b-ai-chip-darling-cerebras-almost-died-early-on-burning-8m-a-month/

summary:
Cerebras Systems was 2026's biggest tech IPO so far. But years ago, it burned through hundreds of millions working on a chip many believed impossible.


title: Users turn to jailbreaking their older Kindles as Amazon ends support
feed_id: techcrunch
guid: https://techcrunch.com/?p=3123063
published_at: 2026-05-16T14:00:00
author: Lauren Forristal
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
url:
https://techcrunch.com/2026/05/16/users-turn-to-jailbreaking-their-older-kindles-as-amazon-ends-support/

summary:
It may be possible to jailbreak an older, end-of-support Kindle and continue adding books to it. But doing so carries risks.


title: RJ Scaringe has raised more than $12B across three startups and investors still want more
feed_id: techcrunch
guid: https://techcrunch.com/?p=3122332
published_at: 2026-05-15T20:30:20
author: Kirsten Korosec
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
url:
https://techcrunch.com/2026/05/15/rj-scaringe-has-raised-more-than-12-billion-across-three-startups-and-investors-still-want-more/

summary:
Investors can't seem to get enough of RJ Scaringe or his ideas. Storytelling and communication are one of his superpowers, according to Jiten Behl, who joined Rivian when the company had just a handful of employees.


title: General Catalyst posted VC rage bait and it worked, especially on a16z
feed_id: techcrunch
guid: https://techcrunch.com/?p=3123082
published_at: 2026-05-15T20:25:35
summary: Compulsive X user Marc Andreessen himself couldn't resist responding, many, many times.
author: Julie Bort
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
url:
https://techcrunch.com/2026/05/15/general-catalyst-posted-vc-rage-bait-and-it-worked-especially-on-a16z/


title: A hotel check-in system left a million passports and driver’s licenses open for anyone to see
feed_id: techcrunch
guid: https://techcrunch.com/?p=3123092
published_at: 2026-05-15T18:51:33
author: Zack Whittaker
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
url:
https://techcrunch.com/2026/05/15/a-hotel-check-in-system-left-a-million-passports-and-drivers-licenses-open-for-anyone-to-see/

summary:
The tech company that maintains the hotel check-in system set its cloud storage to public, allowing anyone to access customers' data without a password.


title: Silicon Valley’s vacationland needs a new energy provider just as AI is driving prices up
feed_id: techcrunch
guid: https://techcrunch.com/?p=3123049
published_at: 2026-05-15T18:14:44
author: Tim De Chant
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
url:
https://techcrunch.com/2026/05/15/silicon-valleys-vacationland-needs-a-new-energy-provider-just-as-ai-is-driving-prices-up/

summary:
Lake Tahoe, Silicon Valley's favorite vacation spot, is about to get hit with higher energy prices as AI drives demand for electricity.


title: Tesla reveals two Robotaxi crashes involving teleoperators
feed_id: techcrunch
url: https://techcrunch.com/2026/05/15/tesla-reveals-two-robotaxi-crashes-involving-teleoperators/
guid: https://techcrunch.com/?p=3123083
published_at: 2026-05-15T17:13:26
author: Sean O'Kane
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Newly unredacted crash reports reveal some of the troubles Tesla has had as it tries to scale its robotaxis.


title: OpenAI launches ChatGPT for personal finance, will let you connect bank accounts
feed_id: techcrunch
guid: https://techcrunch.com/?p=3122997
published_at: 2026-05-15T16:00:00
author: Ivan Mehta
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
url:
https://techcrunch.com/2026/05/15/openai-launches-chatgpt-for-personal-finance-will-let-you-connect-bank-accounts/

summary:
Once users connect their accounts, they will see a dashboard of their portfolio performance, spending, subscriptions, and upcoming payments.


title: Power prices are up 76% on America’s biggest grid, and a watchdog is pointing fingers
feed_id: techcrunch
guid: https://techcrunch.com/?p=3123043
published_at: 2026-05-15T15:45:53
author: Tim De Chant
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
url:
https://techcrunch.com/2026/05/15/power-prices-are-up-76-on-americas-biggest-grid-and-a-watchdog-is-pointing-fingers/

summary:
The price spike is a reminder of a deeper problem: The U.S. power grid was not designed for the electricity demands of an AI-driven economy, and the gap between what the grid can deliver and what the industry needs is widening.


title: US orders travelers on Air Force One to throw away gifts, pins, and burner phones after China trip
feed_id: techcrunch
guid: https://techcrunch.com/?p=3123047
published_at: 2026-05-15T15:42:11
author: Lorenzo Franceschi-Bicchierai
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
url:
https://techcrunch.com/2026/05/15/us-orders-travelers-on-air-force-one-to-throw-away-gifts-pins-and-burner-phones-after-china-trip/

summary:
While the summit appeared cordial, China remains a key adversary of the United States, given its advanced intelligence and espionage capabilities.


title: Runway started by helping filmmakers — now it wants to beat Google at AI
feed_id: techcrunch
guid: https://techcrunch.com/?p=3116150
published_at: 2026-05-15T14:00:00
author: Rebecca Bellan
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
url:
https://techcrunch.com/2026/05/15/runway-started-by-helping-filmmakers-now-it-wants-to-beat-google-at-ai/

summary:
AI video-generation startup Runway is betting that video generation is the path to world models. And that being an AI outsider is an advantage, not a liability.


title: Even GoPro is pivoting to defense
feed_id: techcrunch
url: https://techcrunch.com/2026/05/15/even-gopro-is-pivoting-to-defense/
guid: https://techcrunch.com/?p=3123023
published_at: 2026-05-15T13:14:13
author: Sean O'Kane
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
The action camera maker, like so many other companies these days, is looking to defense applications as it evaluates a possible sale.


title: Meridian Ventures launched a $35M fund with a focus on MBA-deferred founders
feed_id: techcrunch
guid: https://techcrunch.com/?p=3122581
published_at: 2026-05-15T13:00:00
author: Dominic-Madori Davis
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
url:
https://techcrunch.com/2026/05/15/meridian-ventures-launched-35m-fund-to-back-mba-deferred-founders/

summary:
This new fund will back founders building enterprise technology in the United States. Meridian is agnostic, co-founder Devon Gethers said, noting that the firm has already invested in companies in fintech, logistics, healthcare, and of course, AI.


title: Osaurus brings both local and cloud AI models to your Mac
feed_id: techcrunch
url: https://techcrunch.com/2026/05/15/osaurus-brings-both-local-and-cloud-ai-models-to-your-mac/
guid: https://techcrunch.com/?p=3122568
published_at: 2026-05-15T12:19:48
author: Sarah Perez
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Osaurus￼ combines local and cloud AI models in a Mac app that keeps users’ memory, files, and tools on their own hardware.


title: Indian Uber rival Rapido raises $240M at $3B valuation
feed_id: techcrunch
url: https://techcrunch.com/2026/05/15/indian-uber-rival-rapido-raises-240m-at-3b-valuation/
guid: https://techcrunch.com/?p=3123000
published_at: 2026-05-15T11:24:12
author: Jagmeet Singh
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Rapido has driven its growth by enabling ride-hailing for lower-cost and more flexible modes of transport such as motorbikes and auto-rickshaws.


title: What the jury will actually decide in the case of Elon Musk vs. Sam Altman
feed_id: techcrunch
guid: https://techcrunch.com/?p=3122645
published_at: 2026-05-14T22:47:51
summary: Here's what the biggest tech court case of the year is all about.
author: Tim Fernholz
first_crawl_time: 00:02
last_crawl_time: 00:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 00:03:43
url:
https://techcrunch.com/2026/05/14/what-the-jury-will-actually-decide-in-the-case-of-elon-musk-vs-sam-altman/


title: Elon Musk’s SpaceXAI has been bleeding staff since its merger
feed_id: techcrunch
url: https://techcrunch.com/2026/05/14/elon-musks-spacexai-has-been-bleeding-staff-since-its-merger/
guid: https://techcrunch.com/?p=3122877
published_at: 2026-05-14T21:30:44
author: Rebecca Bellan
first_crawl_time: 00:02
last_crawl_time: 00:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 00:03:43
summary:
More than 50 employees have reportedly left Elon Musk’s newly merged SpaceXAI since February, raising questions about burnout, leadership changes, talent poaching, and whether liquidity events weakened retention incentives.


title: OpenAI and Malta partner to bring ChatGPT Plus to all citizens
feed_id: openai-news
url: https://openai.com/index/malta-chatgpt-plus-partnership
guid: https://openai.com/index/malta-chatgpt-plus-partnership
published_at: 2026-05-16T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
OpenAI and Malta partner to expand AI access, offering ChatGPT Plus and training to help citizens build practical AI skills and use AI responsibly.


title: How business operations teams use Codex
feed_id: openai-news
url: https://openai.com/academy/codex-for-work/how-business-operations-teams-use-codex
guid: https://openai.com/academy/codex-for-work/how-business-operations-teams-use-codex
published_at: 2026-05-15T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
See how business operations teams can use Codex to create initiative briefs, strategy updates, leadership decision packets, progress updates, and more from real work inputs.


title: Databricks brings GPT-5.5 to enterprise agent workflows
feed_id: openai-news
url: https://openai.com/index/databricks
guid: https://openai.com/index/databricks
published_at: 2026-05-15T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Databricks uses GPT-5.5 for enterprise agent workflows after the model set a new state of the art on the OfficeQA Pro benchmark.


title: How data science teams use Codex
feed_id: openai-news
url: https://openai.com/academy/codex-for-work/how-data-science-teams-use-codex
guid: https://openai.com/academy/codex-for-work/how-data-science-teams-use-codex
published_at: 2026-05-15T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
See how data science teams can use Codex to build root-cause briefs, impact readouts, KPI memos, scoped analyses, and dashboard specs from real work inputs.


title: A new personal finance experience in ChatGPT
feed_id: openai-news
url: https://openai.com/index/personal-finance-chatgpt
guid: https://openai.com/index/personal-finance-chatgpt
published_at: 2026-05-15T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Preview a new personal finance experience in ChatGPT for Pro users in the U.S. Securely connect your financial accounts and get AI-powered insights and guidance grounded in your financial context, goals, and priorities.


title: How sales teams use Codex
feed_id: openai-news
url: https://openai.com/academy/codex-for-work/how-sales-teams-use-codex
guid: https://openai.com/academy/codex-for-work/how-sales-teams-use-codex
published_at: 2026-05-15T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
See how sales teams can use Codex to create pipeline briefs, meeting prep packets, forecast reviews, account plans, and stalled-deal diagnoses from real work inputs.


title: Sea's View on the Future of Agentic Software Development with Codex
feed_id: openai-news
url: https://openai.com/index/sea-david-chen
guid: https://openai.com/index/sea-david-chen
published_at: 2026-05-14T20:30:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Sea Limited's CPO explains why the company is deploying Codex across engineering teams to accelerate AI-native software development in Asia.


title: Work with Codex from anywhere
feed_id: openai-news
url: https://openai.com/index/work-with-codex-from-anywhere
guid: https://openai.com/index/work-with-codex-from-anywhere
published_at: 2026-05-14T13:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Use Codex anywhere with the ChatGPT mobile app. Monitor, steer, and approve coding tasks in real time across devices and remote environments.


title: Helping ChatGPT better recognize context in sensitive conversations
feed_id: openai-news
url: https://openai.com/index/chatgpt-recognize-context-in-sensitive-conversations
guid: https://openai.com/index/chatgpt-recognize-context-in-sensitive-conversations
published_at: 2026-05-14T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Learn how new ChatGPT safety updates improve context awareness in sensitive conversations, helping detect risk over time and respond more safely.


title: Building a safe, effective sandbox to enable Codex on Windows
feed_id: openai-news
url: https://openai.com/index/building-codex-windows-sandbox
guid: https://openai.com/index/building-codex-windows-sandbox
published_at: 2026-05-13T11:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Learn how OpenAI built a secure sandbox for Codex on Windows, enabling safe, efficient coding agents with controlled file access and network restrictions.


title: Our response to the TanStack npm supply chain attack
feed_id: openai-news
url: https://openai.com/index/our-response-to-the-tanstack-npm-supply-chain-attack
guid: https://openai.com/index/our-response-to-the-tanstack-npm-supply-chain-attack
published_at: 2026-05-13T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
OpenAI details its response to the TanStack “Mini Shai-Hulud” supply chain attack, outlines protections taken to secure systems and signing certificates, and explains why macOS users must update OpenAI apps by June 12, 2026. Learn what happened, what was affected, and how OpenAI is strengthening defenses against evolving software supply chain threats.


title: How finance teams use Codex
feed_id: openai-news
url: https://openai.com/academy/how-finance-teams-use-codex
guid: https://openai.com/academy/how-finance-teams-use-codex
published_at: 2026-05-12T15:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
See how finance teams can use Codex to build MBRs, reporting packs, variance bridges, model checks, and planning scenarios from real work inputs.


title: AutoScout24 scales engineering with AI-powered workflows
feed_id: openai-news
url: https://openai.com/index/autoscout24
guid: https://openai.com/index/autoscout24
published_at: 2026-05-12T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Learn how AutoScout24 Group uses Codex and ChatGPT to speed development cycles, improve code quality, and expand AI adoption.


title: How NVIDIA engineers and researchers build with Codex
feed_id: openai-news
url: https://openai.com/index/nvidia
guid: https://openai.com/index/nvidia
published_at: 2026-05-12T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Teams use Codex with GPT-5.5 to ship production systems and turn research ideas into runnable experiments.


title: What Parameter Golf taught us about AI-assisted research
feed_id: openai-news
url: https://openai.com/index/what-parameter-golf-taught-us
guid: https://openai.com/index/what-parameter-golf-taught-us
published_at: 2026-05-12T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Parameter Golf brought together 1,000+ participants and 2,000+ submissions to explore AI-assisted machine learning research, coding agents, quantization, and novel model design under strict constraints.


title: How ChatGPT adoption broadened in early 2026
feed_id: openai-news
url: https://openai.com/signals/research/2026q1-update
guid: https://openai.com/signals/research/2026q1-update
published_at: 2026-05-11T15:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
ChatGPT adoption surged in Q1 2026, with fastest growth among users over 35 and more balanced gender usage, signaling broader mainstream AI adoption.


title: OpenAI Campus Network: Student club interest form
feed_id: openai-news
url: https://openai.com/index/openai-campus-network-student-club-interest-form
guid: https://openai.com/index/openai-campus-network-student-club-interest-form
published_at: 2026-05-11T10:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Join the OpenAI Campus Network—connect student clubs worldwide, access AI tools, host events, and build an AI-powered campus community.


title: How enterprises are scaling AI
feed_id: openai-news
url: https://openai.com/business/guides-and-resources/how-enterprises-are-scaling-ai
guid: https://openai.com/business/guides-and-resources/how-enterprises-are-scaling-ai
published_at: 2026-05-11T10:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
How enterprises scale AI: from early experiments to compounding impact through trust, governance, workflow design, and quality at scale.


title: OpenAI launches DeployCo to help businesses build around intelligence
feed_id: openai-news
url: https://openai.com/index/openai-launches-the-deployment-company
guid: https://openai.com/index/openai-launches-the-deployment-company
published_at: 2026-05-11T06:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
OpenAI launches DeployCo, a new enterprise deployment company built to help organizations bring frontier AI into production and turn it into measurable business impact.


title: Running Codex safely at OpenAI
feed_id: openai-news
url: https://openai.com/index/running-codex-safely
guid: https://openai.com/index/running-codex-safely
published_at: 2026-05-08T12:30:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
How OpenAI runs Codex securely with sandboxing, approvals, network policies, and agent-native telemetry to support safe and compliant coding agent adoption.


title: Scaling Trusted Access for Cyber with GPT-5.5 and GPT-5.5-Cyber
feed_id: openai-news
url: https://openai.com/index/gpt-5-5-with-trusted-access-for-cyber
guid: https://openai.com/index/gpt-5-5-with-trusted-access-for-cyber
published_at: 2026-05-07T13:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
OpenAI expands Trusted Access for Cyber with GPT-5.5 and GPT-5.5-Cyber, helping verified defenders accelerate vulnerability research and protect critical infrastructure.


title: Parloa builds service agents customers want to talk to
feed_id: openai-news
url: https://openai.com/index/parloa
guid: https://openai.com/index/parloa
published_at: 2026-05-07T11:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Parloa leverages OpenAI models to power scalable, voice-driven AI customer service agents, enabling enterprises to design, simulate, and deploy reliable, real-time interactions.


title: Advancing voice intelligence with new models in the API
feed_id: openai-news
url: https://openai.com/index/advancing-voice-intelligence-with-new-models-in-the-api
guid: https://openai.com/index/advancing-voice-intelligence-with-new-models-in-the-api
published_at: 2026-05-07T10:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Explore new realtime voice models in the OpenAI API that can reason, translate, and transcribe speech, enabling more natural and intelligent voice experiences.


title: Testing ads in ChatGPT
feed_id: openai-news
url: https://openai.com/index/testing-ads-in-chatgpt
guid: https://openai.com/index/testing-ads-in-chatgpt
published_at: 2026-05-07T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
OpenAI begins testing ads in ChatGPT to support free access, with clear labeling, answer independence, strong privacy protections, and user control.


title: Introducing Trusted Contact in ChatGPT
feed_id: openai-news
url: https://openai.com/index/introducing-trusted-contact-in-chatgpt
guid: https://openai.com/index/introducing-trusted-contact-in-chatgpt
published_at: 2026-05-07T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Introducing Trusted Contact in ChatGPT, an optional safety feature that notifies someone you trust if serious self-harm concerns are detected.


title: Simplex rethinks software development with Codex
feed_id: openai-news
url: https://openai.com/index/simplex
guid: https://openai.com/index/simplex
published_at: 2026-05-07T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Simplex boosts software development with ChatGPT Enterprise and Codex, reducing design, build, and testing time while scaling AI-driven workflows.


title: How ChatGPT learns about the world while protecting privacy
feed_id: openai-news
url: https://openai.com/index/how-chatgpt-protects-privacy
guid: https://openai.com/index/how-chatgpt-protects-privacy
published_at: 2026-05-06T08:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Learn how ChatGPT safeguards your privacy, reduces personal data in training, and gives you control over whether your conversations improve AI models.


title: Introducing ChatGPT Futures: Class of 2026
feed_id: openai-news
url: https://openai.com/index/introducing-chatgpt-futures-class-of-2026
guid: https://openai.com/index/introducing-chatgpt-futures-class-of-2026
published_at: 2026-05-06T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Meet the ChatGPT Futures Class of 2026—26 student innovators using AI to build, research, and drive real-world impact. Discover how this generation is redefining learning, creativity, and opportunity with ChatGPT.


title: How frontier firms are pulling ahead
feed_id: openai-news
url: https://openai.com/index/introducing-b2b-signals
guid: https://openai.com/index/introducing-b2b-signals
published_at: 2026-05-06T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
OpenAI’s B2B Signals research shows how frontier enterprises deepen AI adoption, scale Codex-powered agentic workflows, and build durable competitive advantage.


title: Singular Bank helps bankers move fast with ChatGPT and Codex
feed_id: openai-news
url: https://openai.com/index/singular-bank
guid: https://openai.com/index/singular-bank
published_at: 2026-05-06T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Singular Bank built Singularity, an internal assistant using ChatGPT and Codex to help bankers save 60–90 minutes daily on meeting prep, portfolio analysis, and follow-up.


title: Uber uses OpenAI to help people earn smarter and book faster
feed_id: openai-news
url: https://openai.com/index/uber
guid: https://openai.com/index/uber
published_at: 2026-05-06T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Uber uses OpenAI to power AI assistants and voice features that help drivers earn smarter and riders book faster across a global real-time marketplace.


title: Unlocking large scale AI training networks with MRC (Multipath Reliable Connection)
feed_id: openai-news
url: https://openai.com/index/mrc-supercomputer-networking
guid: https://openai.com/index/mrc-supercomputer-networking
published_at: 2026-05-05T10:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
OpenAI introduces MRC (Multipath Reliable Connection), a new supercomputer networking protocol released via OCP to improve resilience and performance in large-scale AI training clusters.


title: GPT-5.5 Instant: smarter, clearer, and more personalized
feed_id: openai-news
url: https://openai.com/index/gpt-5-5-instant
guid: https://openai.com/index/gpt-5-5-instant
published_at: 2026-05-05T10:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
GPT-5.5 Instant updates ChatGPT’s default model with smarter, more accurate answers, reduced hallucinations, and improved personalization controls.


title: Advancing youth safety and wellbeing in EMEA
feed_id: openai-news
url: https://openai.com/index/advancing-youth-safety-in-emea
guid: https://openai.com/index/advancing-youth-safety-in-emea
published_at: 2026-05-05T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Explore OpenAI’s European Youth Safety Blueprint and EMEA Youth & Wellbeing Grants, advancing safe, responsible AI for teens, families, and educators.


title: New ways to buy ChatGPT ads
feed_id: openai-news
url: https://openai.com/index/new-ways-to-buy-chatgpt-ads
guid: https://openai.com/index/new-ways-to-buy-chatgpt-ads
published_at: 2026-05-05T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
OpenAI expands ChatGPT ads with a beta self-serve Ads Manager, CPC bidding, and enhanced measurement tools—built to protect privacy and keep conversations separate from ads.


title: OpenAI and PwC collaborate to reimagine the office of the CFO
feed_id: openai-news
url: https://openai.com/index/openai-pwc-finance-collaboration
guid: https://openai.com/index/openai-pwc-finance-collaboration
published_at: 2026-05-04T21:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
OpenAI and PwC are partnering to help enterprises use AI agents to automate finance workflows, improve forecasting, strengthen controls, and modernize the CFO function.


title: How OpenAI delivers low-latency voice AI at scale
feed_id: openai-news
url: https://openai.com/index/delivering-low-latency-voice-ai-at-scale
guid: https://openai.com/index/delivering-low-latency-voice-ai-at-scale
published_at: 2026-05-04T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
How OpenAI rebuilt its WebRTC stack to power real-time Voice AI with low latency, global scale, and seamless conversational turn-taking.


title: Introducing Advanced Account Security
feed_id: openai-news
url: https://openai.com/index/advanced-account-security
guid: https://openai.com/index/advanced-account-security
published_at: 2026-04-30T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Introducing Advanced Account Security: phishing-resistant login, stronger recovery, and enhanced protections to safeguard sensitive data and prevent account takeover.


title: Where the goblins came from
feed_id: openai-news
url: https://openai.com/index/where-the-goblins-came-from
guid: https://openai.com/index/where-the-goblins-came-from
published_at: 2026-04-29T20:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
How goblin outputs spread in AI models: timeline, root cause, and fixes behind personality-driven quirks in GPT-5 behavior.


title: Building the compute infrastructure for the Intelligence Age
feed_id: openai-news
url: https://openai.com/index/building-the-compute-infrastructure-for-the-intelligence-age
guid: https://openai.com/index/building-the-compute-infrastructure-for-the-intelligence-age
published_at: 2026-04-29T15:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
OpenAI scales Stargate to build the compute infrastructure powering AGI, adding new data center capacity to meet growing AI demand.


title: Cybersecurity in the Intelligence Age
feed_id: openai-news
url: https://openai.com/index/cybersecurity-in-the-intelligence-age
guid: https://openai.com/index/cybersecurity-in-the-intelligence-age
published_at: 2026-04-29T04:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
OpenAI outlines a five-part action plan for strengthening cybersecurity in the Intelligence Age, focused on democratizing AI-powered cyber defense and protecting critical systems.


title: OpenAI models, Codex, and Managed Agents come to AWS
feed_id: openai-news
url: https://openai.com/index/openai-on-aws
guid: https://openai.com/index/openai-on-aws
published_at: 2026-04-28T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
OpenAI GPT models, Codex, and Managed Agents are now available on AWS, enabling enterprises to build secure AI in their AWS environments.


title: Our commitment to community safety
feed_id: openai-news
url: https://openai.com/index/our-commitment-to-community-safety
guid: https://openai.com/index/our-commitment-to-community-safety
published_at: 2026-04-28T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Learn how OpenAI protects community safety in ChatGPT through model safeguards, misuse detection, policy enforcement, and collaboration with safety experts.


title: OpenAI available at FedRAMP Moderate
feed_id: openai-news
url: https://openai.com/index/openai-available-at-fedramp-moderate
guid: https://openai.com/index/openai-available-at-fedramp-moderate
published_at: 2026-04-27T14:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
OpenAI is available at FedRAMP Moderate authorization for ChatGPT Enterprise and the OpenAI API, enabling secure AI adoption for U.S. federal agencies.


title: The next phase of the Microsoft OpenAI partnership
feed_id: openai-news
url: https://openai.com/index/next-phase-of-microsoft-partnership
guid: https://openai.com/index/next-phase-of-microsoft-partnership
published_at: 2026-04-27T06:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
OpenAI and Microsoft announce an amended agreement that simplifies the partnership, adds long-term clarity, and supports continued AI innovation at scale.


title: An open-source spec for orchestration: Symphony
feed_id: openai-news
url: https://openai.com/index/open-source-codex-orchestration-symphony
guid: https://openai.com/index/open-source-codex-orchestration-symphony
published_at: 2026-04-27T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Learn how Symphony, an open-source spec for Codex orchestration, turns issue trackers into always-on agent systems—boosting engineering output and reducing context switching.


title: Choco automates food distribution with AI agents
feed_id: openai-news
url: https://openai.com/index/choco
guid: https://openai.com/index/choco
published_at: 2026-04-27T00:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
How Choco used OpenAI APIs to streamline food distribution, boost productivity, and unlock growth—an in-depth customer story on real-world AI impact.


title: Our principles
feed_id: openai-news
url: https://openai.com/index/our-principles
guid: https://openai.com/index/our-principles
published_at: 2026-04-26T16:00:00
first_crawl_time: 00:02
last_crawl_time: 16:02
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 16:02:17
summary:
Our mission is to ensure that AGI benefits all of humanity. Sam Altman shares five principles that guide our work.


title: GraphBit: A Graph-based Agentic Framework for Non-Linear Agent Orchestration
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.13848
guid: oai:arXiv.org:2605.13848v1
published_at: 2026-05-16T04:00:00
author: Yeahia Sarker, Md Rahmat Ullah, Musa Molla, Shafiq Joty
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.13848v1 Announce Type: new Abstract: Agentic LLM frameworks that rely on prompted orchestration, where the model itself determines workflow transitions, often suffer from hallucinated routing, infinite loops, and non-reproducible execution. We introduce GraphBit, an engine-orchestrated framework that defines workflows explicitly and deterministically as a directed acyclic graph (DAG). Unlike prompted orchestration, agents in GraphBit operate as typed functions, while a Rust-based engi...


feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.13849
guid: oai:arXiv.org:2605.13849v1
published_at: 2026-05-16T04:00:00
author: Francisco Aguilera Moreno
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
title:
Mixed Integer Goal Programming for Personalized Meal Optimization with User-Defined Serving Granularity

summary:
arXiv:2605.13849v1 Announce Type: new Abstract: Determining what to eat to satisfy nutritional requirements is one of the oldest optimization problems in operations research, yet existing formulations have two persistent limitations: continuous variables produce impractical fractional servings (1.7 eggs, 0.37 bananas), and hard nutrient constraints cause infeasibility when targets conflict. A systematic review of 56 diet optimization papers found that none combine integer programming with goal p...


title: A Two-Dimensional Framework for AI Agent Design Patterns: Cognitive Function and Execution Topology
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.13850
guid: oai:arXiv.org:2605.13850v1
published_at: 2026-05-16T04:00:00
author: Jia Huang, Joey Tianyi Zhou
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.13850v1 Announce Type: new Abstract: Existing frameworks for LLM-based agent architectures describe systems from a single perspective: industry guides (Anthropic, Google, LangChain) focus on execution topology -- how data flows -- while cognitive science surveys focus on cognitive function -- what the agent does. Neither axis alone disambiguates architecturally distinct systems: the same Orchestrator-Workers topology can implement Plan-and-Execute, Hierarchical Delegation, or Adversar...


feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.13851
guid: oai:arXiv.org:2605.13851v1
published_at: 2026-05-16T04:00:00
author: Hiroki Fukui
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
title:
Invisible Orchestrators Suppress Protective Behavior and Dissociate Power-Holders: Safety Risks in Multi-Agent LLM Systems

summary:
arXiv:2605.13851v1 Announce Type: new Abstract: Multi-agent orchestration -- in which a hidden coordinator manages specialized worker agents -- is becoming the default architecture for enterprise AI deployment, yet the safety implications of orchestrator invisibility have never been empirically tested. We conducted a preregistered 3x2 experiment (365 runs, 5 agents per run) crossing three organizational structures (visible leader, invisible orchestrator, flat) with two alignment conditions (base...


title: PREPING: Building Agent Memory without Tasks
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.13880
guid: oai:arXiv.org:2605.13880v1
published_at: 2026-05-16T04:00:00
author: Yumin Choi, Sangwoo Park, Minki Kang, Jinheon Baek, Sung Ju Hwang
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.13880v1 Announce Type: new Abstract: Agent memory is typically constructed either offline from curated demonstrations or online from post-deployment interactions. However, regardless of how it is built, an agent faces a cold-start gap when first introduced to a new environment without any task-specific experience available. In this paper, we study pre-task memory construction: whether an agent can build procedural memory before observing any target-environment tasks, using only self-g...


title: PolitNuggets: Benchmarking Agentic Discovery of Long-Tail Political Facts
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14002
guid: oai:arXiv.org:2605.14002v1
published_at: 2026-05-16T04:00:00
author: Yifei Zhu
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14002v1 Announce Type: new Abstract: Large Reasoning Models (LRMs) embedded in agentic frameworks have transformed information retrieval from static, long context question answering into open-ended exploration. Yet real world use requires models to discover and synthesize "long-tail" facts from dispersed sources, a capability that remains under-evaluated. We introduce PolitNuggets, a multilingual benchmark for agentic information synthesis via constructing political biographies for 40...


title: Conditional Attribute Estimation with Autoregressive Sequence Models
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14004
guid: oai:arXiv.org:2605.14004v1
published_at: 2026-05-16T04:00:00
author: Erica Stutz, Giacomo Marino, Daniella Meeker, Qiao Liu, Andrew J. Loza
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14004v1 Announce Type: new Abstract: Generative models are often trained with a next-token prediction objective, yet many downstream applications require the ability to estimate or control sequence-level properties. Next-token prediction can lead to overfitting of local patterns during training, underfitting of global structure, and requires significant downstream modifications or expensive sampling to guide or predict the global attributes of generated samples at inference time. Here...


title: Sheaf-Theoretic Transport and Obstruction for Detecting Scientific Theory Shift in AI Agents
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14033
guid: oai:arXiv.org:2605.14033v1
published_at: 2026-05-16T04:00:00
author: David N. Olivieri, Roque J. Hern\'andez
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14033v1 Announce Type: new Abstract: Scientific theory shift in AI agents requires more than fitting equations to data. An artificial scientific agent must detect whether an existing representational framework remains transportable into a new regime, or whether its language has become locally-to-globally obstructed and must be extended. This paper develops a finite sheaf-theoretic framework for detecting theory-shift candidates through transport and obstruction. Contexts are organized...


title: From Descriptive to Prescriptive: Uncover the Social Value Alignment of LLM-based Agents
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14034
guid: oai:arXiv.org:2605.14034v1
published_at: 2026-05-16T04:00:00
author: Jinxian Qu, Qingqing Gu, Teng Chen, Luo Ji
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14034v1 Announce Type: new Abstract: Wide applications of LLM-based agents require strong alignment with human social values. However, current works still exhibit deficiencies in self-cognition and dilemma decision, as well as self-emotions. To remedy this, we propose a novel value-based framework that employs GraphRAG to convert principles into value-based instructions and steer the agent to behave as expected by retrieving the suitable instruction upon a specific conversation contex...


title: Enhanced and Efficient Reasoning in Large Learning Models
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14036
guid: oai:arXiv.org:2605.14036v1
published_at: 2026-05-16T04:00:00
author: Leslie G. Valiant
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14036v1 Announce Type: new Abstract: In current Large Language Models we can trust the production of smoothly flowing prose on the basis of the principles of machine learning. However, there is no comparably principled basis to justify trust in the content of the text produced. It appears to be conventional wisdom that addressing this issue by adding more principled reasoning is not computationally affordable. Here we propose a principled method of reasoning that is efficient enough t...


title: Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14038
guid: oai:arXiv.org:2605.14038v1
published_at: 2026-05-16T04:00:00
author: Yize Cheng, Chenrui Fan, Mahdi JafariRaviz, Keivan Rezaei, Soheil Feiz
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14038v1 Announce Type: new Abstract: Large language models (LLMs) increasingly act as autonomous agents that must decide when to answer directly vs. when to invoke external tools. Prior work studying adaptive tool use has largely treated tool necessity as a model-agnostic property, annotated by human or LLM judge, and mostly cover cases where the answer is obvious (e.g., fetching the weather vs. paraphrasing text). However, tool necessity in the wild is more nuanced due to the diverge...


title: Network-Aware Bilinear Tokenization for Brain Functional Connectivity Representation Learning
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14048
guid: oai:arXiv.org:2605.14048v1
published_at: 2026-05-16T04:00:00
author: Leo Milecki, Qingyu Hu, Bahram Jafrasteh, Mert R. Sabuncu, Qingyu Zhao
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14048v1 Announce Type: new Abstract: Masked autoencoders (MAEs) have recently shown promise for self-supervised representation learning of resting-state brain functional connectivity (FC). However, a fundamental question remains unresolved: how should FC matrices be tokenized to align with the intrinsic modular organization of large-scale brain networks? Existing approaches typically adopt region-centric or graph-based schemes that treat FC as structurally homogeneous elements and ove...


feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14049
guid: oai:arXiv.org:2605.14049v1
published_at: 2026-05-16T04:00:00
author: Olivia Peiyu Wang, Leilani H. Gilpin
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
title:
Bridging Legal Interpretation and Formal Logic: Faithfulness, Assumption, and the Future of AI Legal Reasoning

summary:
arXiv:2605.14049v1 Announce Type: new Abstract: The growing adoption of large language models in legal practice brings both significant promise and serious risk. Legal professionals stand to benefit from AI that can reason over contracts, draft documents, and analyze sources at scale, yet the high-stakes nature of legal work demands a level of rigor that current AI systems do not provide. The central problem is not simply that LLMs hallucinate facts and references; it is that they systematically...


title: SPIN: Structural LLM Planning via Iterative Navigation for Industrial Tasks
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14051
guid: oai:arXiv.org:2605.14051v1
published_at: 2026-05-16T04:00:00
author: Yusuke Ozaki, Dhaval Patel
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14051v1 Announce Type: new Abstract: Industrial LLM agent systems often separate planning from execution, yet LLM planners frequently produce structurally invalid or unnecessarily long workflows, leading to brittle failures and avoidable tool and API cost. We propose \texttt{SPIN}, a planning wrapper that combines validated Directed Acyclic Graph (DAG) planning with prefix based execution control. \texttt{SPIN} enforces a strict DAG contract through \texttt{\_validate\_plan\_text} and...


title: Bad Seeing or Bad Thinking? Rewarding Perception for Vision-Language Reasoning
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14054
guid: oai:arXiv.org:2605.14054v1
published_at: 2026-05-16T04:00:00
author: Haozhe Wang, Qixin Xu, Changpeng Wang, Taofeng Xue, Chong Peng, Wenhu Chen, Fangzhen Lin
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14054v1 Announce Type: new Abstract: Achieving robust perception-reasoning synergy is a central goal for advanced Vision-Language Models (VLMs). Recent advancements have pursued this goal via architectural designs or agentic workflows. However, these approaches are often limited by static textual reasoning or complicated by the significant compute and engineering burden of external agentic complexity. Worse, this heavy investment does not yield proportional gains, often witnessing a "...


title: MathAtlas: A Benchmark for Autoformalization in the Wild
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14061
guid: oai:arXiv.org:2605.14061v1
published_at: 2026-05-16T04:00:00
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14061v1 Announce Type: new Abstract: Current autoformalization benchmarks are largely focused on olympiad or undergraduate mathematics, while graduate and research-level mathematics remains underexplored. In this paper, we introduce MathAtlas, the first large-scale autoformalization benchmark of in the wild graduate-level mathematics, containing ~52k theorems, definitions, exercises, examples, and proofs extracted from 103 graduate mathematics textbooks. MathAtlas is enriched with a m...

author:
Nilay Patel, Noah Arias, Davit Babayan, Victoria Cochran, Timothy Libman, Hafsah Mahmood, Liam McCarty, Soli Munoz, Laurel Willey, Jeffrey Flanigan


feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14062
guid: oai:arXiv.org:2605.14062v1
published_at: 2026-05-16T04:00:00
author: Anjir Ahmed Chowdhury, Syed Zawad, Feng Yan
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
title:
Know When To Fold 'Em: Token-Efficient LLM Synthetic Data Generation via Multi-Stage In-Flight Rejection

summary:
arXiv:2605.14062v1 Announce Type: new Abstract: While synthetic data generation with large language models (LLMs) is widely used in post-training pipelines, existing approaches typically generate full outputs before applying quality filters, leading to substantial token waste on samples that are ultimately discarded. To address this, we propose Multi-Stage In-Flight Rejection (MSIFR), a lightweight, training-free framework that detects and terminates low-quality generation trajectories at interm...


title: SkillFlow: Flow-Driven Recursive Skill Evolution for Agentic Orchestration
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14089
guid: oai:arXiv.org:2605.14089v1
published_at: 2026-05-16T04:00:00
author: Mingda Zhang, Tiesunlong Shen, Haoran Luo, Wenjin Liu, Zikai Xiao, Erik Cambria, Xiaoying Tang
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14089v1 Announce Type: new Abstract: In recent years, a variety of powerful LLM-based agentic systems have been applied to automate complex tasks through task orchestration. However, existing orchestration methods still face key challenges, including strategy collapse under reward maximization, high gradient variance with opaque credit assignment, and unguided skill evolution whose decisions are typically made by directly prompting an LLM to judge rather than derived from principled t...


title: ChromaFlow: A Negative Ablation Study of Orchestration Overhead in Tool-Augmented Agent Evaluation
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14102
guid: oai:arXiv.org:2605.14102v1
published_at: 2026-05-16T04:00:00
author: Tarun Mittal
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14102v1 Announce Type: new Abstract: Autonomous language-model agents increasingly combine planning, tool use, document processing, browsing, code execution, and verification loops. These capabilities make agent systems more useful, but they also introduce operational failure modes that are not visible from final accuracy alone. This report presents ChromaFlow, a tool-augmented autonomous reasoning framework built around planner-directed execution, specialized tool use, and telemetry-...


feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14111
guid: oai:arXiv.org:2605.14111v1
published_at: 2026-05-16T04:00:00
author: Yaniv Eliyahu Amiri, Noah Chicoine, Jacqueline Griffin, Stacy Marsella
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
title:
Modeling Bounded Rationality in Drug Shortage Pharmacists Using Attention-Guided Dynamic Decomposition

summary:
arXiv:2605.14111v1 Announce Type: new Abstract: Hospital pharmacists make high-stakes decisions to mitigate drug shortages under uncertainty, time pressure, and patient risk. Interviews revealed that pharmacists focus attention on a small subset of drugs, limiting cognitive effort to the most urgent cases. Motivated by these findings, we formalize a bounded-rational, attention-guided decision framework that dynamically decomposes drugs into a subset for high-cost reasoning and a complementary su...


title: ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14133
guid: oai:arXiv.org:2605.14133v1
published_at: 2026-05-16T04:00:00
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14133v1 Announce Type: new Abstract: Interactive agent benchmarks face a tension between scalable construction and realistic workflow evaluation. Hand-authored tasks are expensive to extend and revise, while static prompt evaluation misses failures that only appear when agents operate over persistent state. Existing interactive benchmarks have advanced agent evaluation significantly, but most initialize tasks from clean state and do not systematically test how agents handle pre-existi...

author:
Yuxiang Lai, Peng Xia, Haonian Ji, Kaiwen Xiong, Kaide Zeng, Jiaqi Liu, Fang Wu, Jike Zhong, Zeyu Zheng, Cihang Xie, Huaxiu Yao


title: Distribution-Aware Algorithm Design with LLM Agents
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14141
guid: oai:arXiv.org:2605.14141v1
published_at: 2026-05-16T04:00:00
author: Saharsh Koganti, Priyadarsi Mishra, Pierfrancesco Beneventano, Tomer Galanti
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14141v1 Announce Type: new Abstract: We study learning when the learned object is executable solver code rather than a predictor. In this setting, correctness is not enough: two solvers may both return valid solutions on the deployment distribution while differing substantially in runtime. Given samples from an unknown task distribution, the learner returns code evaluated on fresh instances by both solution quality and execution time. Our central abstraction is a \emph{solver hint}: r...


title: Agentic Systems as Boosting Weak Reasoning Models
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14163
guid: oai:arXiv.org:2605.14163v1
published_at: 2026-05-16T04:00:00
author: Varun Sunkaraneni, Pierfrancesco Beneventano, Riccardo Neumarker, Tomaso Poggio, Tomer Galanti
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14163v1 Announce Type: new Abstract: Can a committee of weak reasoning-model calls reach the performance of much stronger models? We study verifier-backed committee search as inference-time boosting for reasoning language models. The mechanism is not simply that ``more agents help'': samples expose latent correct solutions, while critics and comparators must recover them without access to the hidden verifier. We formalize this view by separating proposal coverage, local identifiabilit...


title: Unsteady Metrics and Benchmarking Cultures of AI Model Builders
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14164
guid: oai:arXiv.org:2605.14164v1
published_at: 2026-05-16T04:00:00
author: Stefan Baack, Christo Buschek, Maty Bohacek
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14164v1 Announce Type: new Abstract: The primary way to establish and compare competencies in foundation and generative AI models has shifted from peer-reviewed literature to press releases and company blog posts, where model builders highlight results on selected benchmarks. These artifacts now largely define the state of the art for researchers and the public. Despite their prominence, which benchmarks model builders choose to highlight, and what they communicate through this select...


title: The Evaluation Trap: Benchmark Design as Theoretical Commitment
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14167
guid: oai:arXiv.org:2605.14167v1
published_at: 2026-05-16T04:00:00
author: Theodore J Kalaitzidis
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14167v1 Announce Type: new Abstract: Every AI benchmark operationalizes theoretical assumptions about the capability it claims to assess. When assumptions function as unexamined commitments, benchmarks stabilize the dominant paradigm by narrowing what counts as progress. Over time, narrow evaluation reorganizes capability concepts: architectures and definitions are selected for benchmark legibility until evaluation ceases to track an independent object and instead produces a version o...


title: Grounded Continuation: A Linear-Time Runtime Verifier for LLM Conversations
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14175
guid: oai:arXiv.org:2605.14175v1
published_at: 2026-05-16T04:00:00
author: Qisong He, Yi Dong, Xiaowei Huang
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14175v1 Announce Type: new Abstract: In long conversations, an LLM can produce a next utterance that sounds plausible but rests on premises the conversation has already abandoned. Context-manipulation attacks against deployed agents now actively exploit this gap. We close it with a runtime verifier that maintains an explicit dependency graph: an LLM classifies each turn into one of 8 update operations drawn from four formalisms (dynamic epistemic logic, abductive reasoning, awareness ...


title: SimPersona: Learning Discrete Buyer Personas from Raw Clickstreams for Grounded E-Commerce Agents
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14205
guid: oai:arXiv.org:2605.14205v1
published_at: 2026-05-16T04:00:00
author: Zahra Zanjani Foumani, Alberto Castelo, Shuang Xie, Ted Chaiwachirasak, Han Li, Lingyun Wang
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14205v1 Announce Type: new Abstract: LLM-based web agents can navigate live storefronts, yet they often collapse to a single "average buyer" policy, failing to capture the heterogeneous and distributional nature of real buyer populations. Existing personalization methods rely on hand-crafted prompt-based personas that are brittle, difficult to scale, context-inefficient, and unable to faithfully represent population-level behavior. We introduce SimPersona, a novel framework that learn...


title: ASH: Agents that Self-Hone via Embodied Learning
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14211
guid: oai:arXiv.org:2605.14211v1
published_at: 2026-05-16T04:00:00
author: Benjamin Schneider, Xavier Schneider, Victor Zhong, Sun Sun
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14211v1 Announce Type: new Abstract: Long-horizon embodied tasks remain a fundamental challenge in AI, as current methods rely on hand-engineered rewards or action-labeled demonstrations, neither of which scales. We introduce ASH, an agentic system that learns an embodied policy from unlabeled, noisy internet video, without reward shaping or expert annotation. ASH follows a self-improvement loop; when it gets stuck, ASH learns an Inverse Dynamics Model (IDM) from its own trajectories,...


feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14212
guid: oai:arXiv.org:2605.14212v1
published_at: 2026-05-16T04:00:00
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
title:
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning

summary:
arXiv:2605.14212v1 Announce Type: new Abstract: Automatic multi-agent systems aim to instantiate agent workflows without relying on manually designed or fixed orchestration. However, existing automatic MAS approaches remain only partially adaptive: they either perform training-free test-time search or optimize the meta-level designer while keeping downstream execution agents frozen, which creating a frozen-executor ceiling and leaving the end-to-end training of self-designing and self-executing ...

author:
Yaolun Zhang, Yujie Zhao, Nan Wang, Yiran Wu, Jiayu Chang, Yizhao Chen, Qingyun Wu, Jishen Zhao, Huazheng Wang


title: GenCircuit-RL: Reinforcement Learning from Hierarchical Verification for Genetic Circuit Design
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14215
guid: oai:arXiv.org:2605.14215v1
published_at: 2026-05-16T04:00:00
author: Noah Flynn
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14215v1 Announce Type: new Abstract: Genetic circuit design remains a laborious, expert-driven process despite decades of progress in synthetic biology. We study this problem through code generation: models produce Python code in pysbol3 to construct genetic circuits in the Synthetic Biology Open Language (SBOL), a formal representation that supports automated verification. We introduce GenCircuit-RL, a reinforcement learning framework built around hierarchical verification rewards th...


title: Fusion-fission forecasts when AI will shift to undesirable behavior
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14218
guid: oai:arXiv.org:2605.14218v1
published_at: 2026-05-16T04:00:00
author: Neil F. Johnson, Frank Yingjie Huo
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14218v1 Announce Type: new Abstract: The key problem facing ChatGPT-like AI's use across society is that its behavior can shift, unnoticed, from desirable to undesirable -- encouraging self-harm, extremist acts, financial losses, or costly medical and military mistakes -- and no one can yet predict when. Shifts persist in even the newest AI models despite remarkable progress in AI modeling, post-training alignment and safeguards. Here we show that a vector generalization of fusion-fis...


feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14237
guid: oai:arXiv.org:2605.14237v1
published_at: 2026-05-16T04:00:00
author: Xiaohua Wang, Kai Yu, XuXiao Liang, Liang Wang, Chao Han
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
title:
Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay

summary:
arXiv:2605.14237v1 Announce Type: new Abstract: Deploying AI agents for repetitive periodic tasks exposes a critical tension: Large Language Models (LLMs) offer unmatched flexibility in tool orchestration, yet their inherent stochasticity causes unpredictable failures, and repeated invocations incur prohibitive token costs. We present the LOOP SKILL ENGINE, a system that achieves a combined 99% success rate and 99% token reduction for periodic agent tasks through a one-shot recording, determinis...


title: Hypergraph Enterprise Agentic Reasoner over Heterogeneous Business Systems
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14259
guid: oai:arXiv.org:2605.14259v1
published_at: 2026-05-16T04:00:00
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14259v1 Announce Type: new Abstract: Applying Large Language Models (LLMs) to heterogeneous enterprise systems is hindered by hallucinations and failures in multi-hop, n-ary reasoning. Existing paradigms (e.g., GraphRAG, NL2SQL) lack the semantic grounding and auditable execution required for these complex environments. We introduce HEAR, an enterprise agentic reasoner built on a Stratified Hypergraph Ontology. Its base Graph Layer virtualizes provenance-aware data interfaces, while t...

author:
Ling Wang, Songnan Liu, Jianan Wang, Cheng Cheng, Xin Liu, Yihan Zhu, Enyu Li, Yu Xiao, Jiangyong Xie, Duogong Yan, Jiangyi Chen


feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14261
guid: oai:arXiv.org:2605.14261v1
published_at: 2026-05-16T04:00:00
author: Juho Kim, Tuomas Sandholm
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
title:
Heuristic Pathologies and Further Variance Reduction via Uncertainty Propagation in the AIVAT Family of Techniques

summary:
arXiv:2605.14261v1 Announce Type: new Abstract: How should an agent's performance in a multiagent environment be evaluated when there is a limited sample size or a high cost of running a trial? The AIVAT family of variance reduction techniques was proposed to address this challenge by introducing unbiased low-variance estimators of agents' expected payoffs. An important component of AIVAT is a heuristic value function that discriminates between potentially low- and high-value counterfactual hist...


feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14266
guid: oai:arXiv.org:2605.14266v1
published_at: 2026-05-16T04:00:00
author: Vidya K Sudarshan, Anushka Sisodia, Reshma A Ramachandra, Sia Batra, Josephine Chong Leng Leng
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
title:
Agentic AI Ecosystems in Higher Education: A Perspective on AI Agents to Emerging Inclusive, Agentic Multi-Agent AI Framework for Learning, Teaching and Institutional Intelligence

summary:
arXiv:2605.14266v1 Announce Type: new Abstract: Integration of artificial intelligent (AI) agents in higher education is transforming teaching, learning and administrative processes. Although existing AI agents effectively support individual tasks, their implementation remains fragmented and inefficient for handling the complexity of educational institutions. This highlights a significant research gap: the lack of integrated eco-system-level agentic multi-agent AI platform capable of coordinated...


title: Parallelizing Counterfactual Regret Minimization
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14277
guid: oai:arXiv.org:2605.14277v1
published_at: 2026-05-16T04:00:00
author: Juho Kim, Tuomas Sandholm
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14277v1 Announce Type: new Abstract: Parallelization has played an instrumental role in the field of artificial intelligence (AI), drastically reducing the time taken to train and evaluate large AI models. In contrast to its impact in the broader field of AI, applying parallelization to computational game solving is relatively unexplored, despite its great potential. In this paper, we parallelize the family of counterfactual regret minimization (CFR) algorithms, which were central to ...


title: Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14294
guid: oai:arXiv.org:2605.14294v1
published_at: 2026-05-16T04:00:00
author: Hengjie Liu, Zhenya Zhang, Jianjun Zhao
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14294v1 Announce Type: new Abstract: Formal verification of transformers has become increasingly important due to their widespread deployment in safety-critical applications. Compared to classic neural networks, the inferences of transformers involve highly complex computations, such as dot products in self-attention layers, rendering their verification extremely difficult. Existing approaches explored over-approximation methods by constructing convex constraints to bound the output r...


title: Semantic Feature Segmentation for Interpretable Predictive Maintenance in Complex Systems
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14318
guid: oai:arXiv.org:2605.14318v1
published_at: 2026-05-16T04:00:00
author: Emilio Mastriani, Alessandro Costa, Federico Incardona, Kevin Munari, Sebastiano Spinello
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14318v1 Announce Type: new Abstract: Predictive maintenance in complex systems is often complicated by the heterogeneity and redundancy of monitored variables,which can obscure fault-relevant information and reduce model interpretability. This work proposes a semantic feature segmentation framework that decomposes the monitored feature space into a canonical component,expected to retain the dominant predictive information, and a residual component containing structurally peripheral si...


title: Are Agents Ready to Teach? A Multi-Stage Benchmark for Real-World Teaching Workflows
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14322
guid: oai:arXiv.org:2605.14322v1
published_at: 2026-05-16T04:00:00
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14322v1 Announce Type: new Abstract: Language agents are increasingly deployed in complex professional workflows, with tutoring emerging as a particularly high-stakes capability that remains largely unmeasured in existing benchmarks. Effective tutor agents require more than producing correct answers or executing accurate tool calls: a robust tutor must diagnose learner state, adapt support over time, make pedagogically justified decisions grounded in educational evidence, and execute ...

author:
Zixin Chen, Peng Liu, Rui Sheng, Haobo Li, Jianhong Tu, Xiaodong Deng, Kashun Shum, Dayiheng Liu, Huamin Qu


title: CrystalReasoner: Reasoning and RL for Property-Conditioned Crystal Structure Generation
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14344
guid: oai:arXiv.org:2605.14344v1
published_at: 2026-05-16T04:00:00
author: Yuyang Wu, Stefano Falletta, Delia McGrath, Sherry Yang
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14344v1 Announce Type: new Abstract: Generative modeling has emerged as a promising approach for crystal structure discovery. However, existing LLM-based generative models struggle with low-level atomic precision, while diffusion-based methods fall short in integrating high-level scientific knowledge. As a result, generated structures are often invalid, unstable, or do not possess desirable properties. To address this gap, we propose CrystalReasoner (\method), an end-to-end LLM framew...


title: Herculean: An Agentic Benchmark for Financial Intelligence
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14355
guid: oai:arXiv.org:2605.14355v1
published_at: 2026-05-16T04:00:00
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14355v1 Announce Type: new Abstract: As AI agents improve, the central question is no longer whether they can solve isolated well-defined financial tasks, but whether they can reliably carry out financial professional work. Existing financial benchmarks offer only a partial view of this ability, as they primarily evaluate static competencies such as question answering, retrieval, summarization, and classification. We introduce Herculean, the first skilled benchmark for agentic financi...

author:
Xueqing Peng, Zhuohan Xie, Yupeng Cao, Haohang Li, Lingfei Qian, Yan Wang, Vincent Jim Zhang, Huan He, Xuguang Ai, Linhai Ma, Ruoyu Xiang, Yueru He, Yi Han, Shuyao Wang, Yuqing Guo, Mingyang Jiang, Yilun Zhao, Youzhong Dong, Xiaoyu Wang, Yankai Chen, Ye Yuan, Qiyuan Zhang, Fuyuan Lyu, Haolun Wu, Yonghan Yang, Zichen Zhao, Yuyang Dai, Fan Zhang, Rania Elbadry, Ayesha Gull, Muhammad Usman Safder, Nuo Chen, Fengbin Zhu, Tianshi Cai, Zimu Wang, Polydoros Giannouris, Yuechen Jiang, Zhiwei Liu, Mohsinul Kabir, Yuyan Wang, Yixiang Zheng, Yangyang Yu, Weijin Liu, Wenbo Cao, Anke Xu, Peng Lu, Jerry Huang, Fengran Mo, Mingquan Lin, Prayag Tiwari, Yijia Zhao, Victor Gutierrez Basulto, Xiao-Yang Liu, Kaleb E Smith, Jiahuan Pei, Arman Cohan, Jimin Huang, Yuehua Tang, Alejandro Lopez-Lira, Xi Chen, Xue Liu, Junichi Tsujii, Jian-Yun Nie, Sophia Ananiadou


title: Uncovering the Representation Geometry of Minimal Cores in Overcomplete Reasoning Traces
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14358
guid: oai:arXiv.org:2605.14358v1
published_at: 2026-05-16T04:00:00
author: Sanjoy Chowdhury, Dinesh Manocha
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14358v1 Announce Type: new Abstract: Language models often generate long chain-of-thought traces, but it remains unclear how much of this reasoning is necessary for preserving the final prediction. We study this through the lens of overcomplete reasoning traces: generated traces that contain more intermediate steps than are needed to support the model's answer. We define the minimal core as the smallest subset of steps that preserves either the final answer or predictive distribution,...


title: Nexus : An Agentic Framework for Time Series Forecasting
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14389
guid: oai:arXiv.org:2605.14389v1
published_at: 2026-05-16T04:00:00
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14389v1 Announce Type: new Abstract: Time series forecasting is not just numerical extrapolation, but often requires reasoning with unstructured contextual data such as news or events. While specialized Time Series Foundation Models (TSFMs) excel at forecasting based on numerical patterns, they remain unaware to real-world textual signals. Conversely, while LLMs are emerging as zero-shot forecasters, their performance remains uneven across domains and contextual grounding. To bridge t...

author:
Sarkar Snigdha Sarathi Das, Palash Goyal, Mihir Parmar, Nanyun Peng, Vishy Tirumalashetty, Chun-Liang Li, Rui Zhang, Jinsung Yoon, Tomas Pfister


title: Learning to Build the Environment: Self-Evolving Reasoning RL via Verifiable Environment Synthesis
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14392
guid: oai:arXiv.org:2605.14392v1
published_at: 2026-05-16T04:00:00
author: Yucheng Shi, Zhenwen Liang, Kishan Panaganti, Dian Yu, Wenhao Yu, Haitao Mi
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14392v1 Announce Type: new Abstract: We pursue a vision for self-improving language models in which the model does not merely generate problems or traces to imitate, but constructs the environments that train it. In zero-data reasoning RL, this reframes self-improvement from a data-generation loop into an environment-construction loop, where each artifact is a reusable executable object that samples instances, computes references, and scores responses. Whether this vision sustains imp...


title: Coding Agent Is Good As World Simulator
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14398
guid: oai:arXiv.org:2605.14398v1
published_at: 2026-05-16T04:00:00
author: Hongyu Wang, Jingquan Wang, Bocheng Zou, Radu Serban, Dan Negrut
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14398v1 Announce Type: new Abstract: World models have emerged as a powerful paradigm for building interactive simulation environments, with recent video-based approaches demonstrating impressive progress in generating visually plausible dynamics. However, because these models typically infer dynamics from video and represent them in latent states, they do not explicitly enforce physical constraints. As a result, the generated video rollouts are not physically plausible, exhibiting un...


title: Metis AI: The Overlooked Middle Zone Between AI-Native and World-Movers
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14407
guid: oai:arXiv.org:2605.14407v1
published_at: 2026-05-16T04:00:00
author: Xiang Li
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14407v1 Announce Type: new Abstract: The dominant discourse on AI limitations frames the boundary of AI capability as a divide between digital tasks (where AI excels) and physical tasks (where embodiment is required). We argue this framing misses the most consequential boundary: the one within digital tasks. We identify a class of tasks we call Metis AI, named for the Greek concept of metis (practical, contextual knowledge), that are performed entirely on computers yet resist reliable...


feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14416
guid: oai:arXiv.org:2605.14416v1
published_at: 2026-05-16T04:00:00
author: Wen Wang, Xiangchen Wu, Liang Wang, Hao Hu, Xianping Tao
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
title:
A Unified Knowledge Embedded Reinforcement Learning-based Framework for Generalized Capacitated Vehicle Routing Problems

summary:
arXiv:2605.14416v1 Announce Type: new Abstract: The Capacitated Vehicle Routing Problem (CVRP) is a fundamental NP-hard problem with broad applications in logistics and transportation. Real-world CVRPs often involve diverse objectives and complex constraints, such as time windows or backhaul requirements, motivating the development of a unified solution framework. Recent reinforcement learning (RL) approaches have shown promise in combinatorial optimization, yet they rely on end-to-end learning ...


title: DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value Mapping
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14420
guid: oai:arXiv.org:2605.14420v1
published_at: 2026-05-16T04:00:00
author: Pengyun Zhu, Yuqi Ren, Zhen Wang, Lei Yang, Deyi Xiong
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14420v1 Announce Type: new Abstract: Current Large Language Models (LLMs) typically rely on coarse-grained national labels for pluralistic value alignment. However, such macro-level supervision often obscures intra-country value heterogeneity, yielding a loose alignment. We argue that resolving this limitation requires shifting from national labels to multi-dimensional demographic constraints, which can identify groups with predictable, high-consensus value preference. To this end, we...


title: BEAM: Binary Expert Activation Masking for Dynamic Routing in MoE
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14438
guid: oai:arXiv.org:2605.14438v1
published_at: 2026-05-16T04:00:00
author: Juntong Wu, Jialiang Cheng, Qishen Yin, Yue Dai, Yuliang Yan, Fuyu Lv, Ou Dan, Li Yuan
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14438v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) architectures enhance the efficiency of large language models by activating only a subset of experts per token. However, standard MoE employs a fixed Top-K routing strategy, leading to redundant computation and suboptimal inference latency. Existing acceleration methods either require costly retraining with architectural changes or suffer from severe performance drop at high sparsity due to train-inference mismatch. To addr...


title: Synthesizing POMDP Policies: Sampling Meets Model-checking via Learning
feed_id: arxiv-cs-ai
url: https://arxiv.org/abs/2605.14440
guid: oai:arXiv.org:2605.14440v1
published_at: 2026-05-16T04:00:00
author: Debraj Chakraborty, Anirban Majumdar, Prince Mathew, Sayan Mukherjee, Jean-Fran\c{c}ois Raskin
first_crawl_time: 00:02
last_crawl_time: 08:01
created_at: 2026-05-17 00:03:43
updated_at: 2026-05-17 08:02:31
summary:
arXiv:2605.14440v1 Announce Type: new Abstract: Partially Observable Markov Decision Processes (POMDPs) are the standard framework for decision-making under uncertainty. While sampling-based methods scale well, they lack formal correctness guarantees, making them unsuitable for safety-critical applications. Conversely, formal synthesis techniques provide correctness-by-construction but often struggle with scalability, as general POMDP synthesis is undecidable. To bridge this gap, we propose a sy...


title: A nicer voltmeter clock
feed_id: hacker-news
url: https://lcamtuf.substack.com/p/a-nicer-voltmeter-clock
guid: https://news.ycombinator.com/item?id=48164432
published_at: 2026-05-16T22:45:16
author: surprisetalk
first_crawl_time: 08:01
last_crawl_time: 16:02
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://lcamtuf.substack.com/p/a-nicer-voltmeter-clock Comments URL: https://news.ycombinator.com/item?id=48164432 Points: 151 # Comments: 22


title: MCP Hello Page
feed_id: hacker-news
url: https://www.hybridlogic.co.uk/blog/2026/05/mcp-hello-page
guid: https://news.ycombinator.com/item?id=48164294
published_at: 2026-05-16T22:25:33
author: Dachande663
first_crawl_time: 08:01
last_crawl_time: 16:02
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://www.hybridlogic.co.uk/blog/2026/05/mcp-hello-page Comments URL: https://news.ycombinator.com/item?id=48164294 Points: 85 # Comments: 31


title: Zerostack – A Unix-inspired coding agent written in pure Rust
feed_id: hacker-news
url: https://crates.io/crates/zerostack/1.0.0
guid: https://news.ycombinator.com/item?id=48164287
published_at: 2026-05-16T22:23:50
author: gidellav
first_crawl_time: 08:01
last_crawl_time: 16:02
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://crates.io/crates/zerostack/1.0.0 Comments URL: https://news.ycombinator.com/item?id=48164287 Points: 339 # Comments: 140


title: I tried to make Claude make me money on open-source bounties
feed_id: hacker-news
url: https://github.com/ztc00/algora-scout/blob/main/POST.md
guid: https://news.ycombinator.com/item?id=48164229
published_at: 2026-05-16T22:13:54
author: ztc00
first_crawl_time: 08:01
last_crawl_time: 08:01
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 08:02:31
summary:
Article URL: https://github.com/ztc00/algora-scout/blob/main/POST.md Comments URL: https://news.ycombinator.com/item?id=48164229 Points: 28 # Comments: 8


title: Japan’s robot wolf sells out as record bear attacks drive demand
feed_id: hacker-news
url: https://www.independent.co.uk/asia/japan/japan-robot-wolf-bear-attacks-ohta-seiki-b2975670.html
guid: https://news.ycombinator.com/item?id=48162882
published_at: 2026-05-16T19:10:38
author: bookofjoe
first_crawl_time: 08:01
last_crawl_time: 08:01
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 08:02:31
summary:
Article URL: https://www.independent.co.uk/asia/japan/japan-robot-wolf-bear-attacks-ohta-seiki-b2975670.html Comments URL: https://news.ycombinator.com/item?id=48162882 Points: 75 # Comments: 38


title: Halt and Catch Fire
feed_id: hacker-news
url: https://unstack.io/halt-and-catch-fire
guid: https://news.ycombinator.com/item?id=48162468
published_at: 2026-05-16T18:16:29
author: ScottWRobinson
first_crawl_time: 08:01
last_crawl_time: 16:02
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://unstack.io/halt-and-catch-fire Comments URL: https://news.ycombinator.com/item?id=48162468 Points: 124 # Comments: 62


title: Kioxia and Dell cram 10 PB into slim 2RU server
feed_id: hacker-news
guid: https://news.ycombinator.com/item?id=48161997
published_at: 2026-05-16T17:12:58
author: rbanffy
first_crawl_time: 08:01
last_crawl_time: 08:01
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 08:02:31
url:
https://www.blocksandfiles.com/flash/2026/05/14/kioxia-and-dell-cram-10-pb-into-slim-2ru-server/5240574

summary:
Article URL: https://www.blocksandfiles.com/flash/2026/05/14/kioxia-and-dell-cram-10-pb-into-slim-2ru-server/5240574 Comments URL: https://news.ycombinator.com/item?id=48161997 Points: 104 # Comments: 70


title: Show HN: Rocksky – Music scrobbling and discovery on the AT Protocol
feed_id: hacker-news
url: https://tangled.org/rocksky.app/rocksky
guid: https://news.ycombinator.com/item?id=48161881
published_at: 2026-05-16T17:00:41
author: tsiry
first_crawl_time: 08:01
last_crawl_time: 16:02
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://tangled.org/rocksky.app/rocksky Comments URL: https://news.ycombinator.com/item?id=48161881 Points: 72 # Comments: 33


title: HTML Lists
feed_id: hacker-news
url: https://blog.frankmtaylor.com/2026/05/13/you-dont-know-html-lists/
guid: https://news.ycombinator.com/item?id=48161861
published_at: 2026-05-16T16:58:26
author: speckx
first_crawl_time: 08:01
last_crawl_time: 08:01
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 08:02:31
summary:
Article URL: https://blog.frankmtaylor.com/2026/05/13/you-dont-know-html-lists/ Comments URL: https://news.ycombinator.com/item?id=48161861 Points: 274 # Comments: 62


title: DeepSeek-V4-Flash means LLM steering is interesting again
feed_id: hacker-news
url: https://www.seangoedecke.com/steering-vectors/
guid: https://news.ycombinator.com/item?id=48160807
published_at: 2026-05-16T14:58:16
author: Brajeshwar
first_crawl_time: 08:01
last_crawl_time: 08:01
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 08:02:31
summary:
Article URL: https://www.seangoedecke.com/steering-vectors/ Comments URL: https://news.ycombinator.com/item?id=48160807 Points: 195 # Comments: 67


title: Accelerate – Embedded language for high-performance array computations
feed_id: hacker-news
url: https://github.com/AccelerateHS/accelerate
guid: https://news.ycombinator.com/item?id=48160211
published_at: 2026-05-16T13:42:34
author: tosh
first_crawl_time: 08:01
last_crawl_time: 08:01
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 08:02:31
summary:
Article URL: https://github.com/AccelerateHS/accelerate Comments URL: https://news.ycombinator.com/item?id=48160211 Points: 72 # Comments: 16


title: SANA-WM, a 2.6B open-source world model for 1-minute 720p video
feed_id: hacker-news
url: https://nvlabs.github.io/Sana/WM/
guid: https://news.ycombinator.com/item?id=48159445
published_at: 2026-05-16T12:06:21
author: mjgil
first_crawl_time: 08:01
last_crawl_time: 16:02
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://nvlabs.github.io/Sana/WM/ Comments URL: https://news.ycombinator.com/item?id=48159445 Points: 330 # Comments: 133


title: Kyber (YC W23) Is Hiring a Founding Marketer
feed_id: hacker-news
url: https://www.ycombinator.com/companies/kyber/jobs/1rLQAro-founding-marketer-content-community
guid: https://news.ycombinator.com/item?id=48159405
published_at: 2026-05-16T12:01:06
author: asontha
first_crawl_time: 08:01
last_crawl_time: 16:02
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://www.ycombinator.com/companies/kyber/jobs/1rLQAro-founding-marketer-content-community Comments URL: https://news.ycombinator.com/item?id=48159405 Points: 0 # Comments: 0


title: Greek Alphabet Cards
feed_id: hacker-news
url: https://labs.randomquark.com/alphabet_cards/
guid: https://news.ycombinator.com/item?id=48159354
published_at: 2026-05-16T11:53:09
author: ricochet11
first_crawl_time: 08:01
last_crawl_time: 16:02
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://labs.randomquark.com/alphabet_cards/ Comments URL: https://news.ycombinator.com/item?id=48159354 Points: 119 # Comments: 55


title: Accelerando (2005)
feed_id: hacker-news
url: https://www.antipope.org/charlie/blog-static/fiction/accelerando/accelerando.html
guid: https://news.ycombinator.com/item?id=48159241
published_at: 2026-05-16T11:36:32
author: eamag
first_crawl_time: 08:01
last_crawl_time: 16:02
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://www.antipope.org/charlie/blog-static/fiction/accelerando/accelerando.html Comments URL: https://news.ycombinator.com/item?id=48159241 Points: 278 # Comments: 158


title: Futhark by example
feed_id: hacker-news
url: https://futhark-lang.org/examples.html
guid: https://news.ycombinator.com/item?id=48158606
published_at: 2026-05-16T09:50:10
author: tosh
first_crawl_time: 08:01
last_crawl_time: 08:01
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 08:02:31
summary:
Article URL: https://futhark-lang.org/examples.html Comments URL: https://news.ycombinator.com/item?id=48158606 Points: 107 # Comments: 26


title: δ-mem: Efficient Online Memory for Large Language Models
feed_id: hacker-news
url: https://arxiv.org/abs/2605.12357
guid: https://news.ycombinator.com/item?id=48158506
published_at: 2026-05-16T09:30:06
author: 44za12
first_crawl_time: 08:01
last_crawl_time: 16:02
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://arxiv.org/abs/2605.12357 Comments URL: https://news.ycombinator.com/item?id=48158506 Points: 210 # Comments: 56


title: Moving away from Tailwind, and learning to structure my CSS
feed_id: hacker-news
url: https://jvns.ca/blog/2026/05/15/moving-away-from-tailwind--and-learning-to-structure-my-css-/
guid: https://news.ycombinator.com/item?id=48158400
published_at: 2026-05-16T09:14:26
author: mpweiher
first_crawl_time: 08:01
last_crawl_time: 16:02
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://jvns.ca/blog/2026/05/15/moving-away-from-tailwind--and-learning-to-structure-my-css-/ Comments URL: https://news.ycombinator.com/item?id=48158400 Points: 517 # Comments: 309


title: We've made the world too complicated
feed_id: hacker-news
url: https://user8.bearblog.dev/the-world-is-too-complicated/
guid: https://news.ycombinator.com/item?id=48158065
published_at: 2026-05-16T08:25:17
author: James72689
first_crawl_time: 08:01
last_crawl_time: 16:02
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://user8.bearblog.dev/the-world-is-too-complicated/ Comments URL: https://news.ycombinator.com/item?id=48158065 Points: 271 # Comments: 246


title: Frontier AI has broken the open CTF format
feed_id: hacker-news
url: https://kabir.au/blog/the-ctf-scene-is-dead
guid: https://news.ycombinator.com/item?id=48157559
published_at: 2026-05-16T07:01:55
author: frays
first_crawl_time: 08:01
last_crawl_time: 08:01
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 08:02:31
summary:
Article URL: https://kabir.au/blog/the-ctf-scene-is-dead Comments URL: https://news.ycombinator.com/item?id=48157559 Points: 328 # Comments: 308


title: Marketing operating system Nectar Social raises $30M Series A led by Menlo
feed_id: techcrunch
guid: https://techcrunch.com/?p=3123174
published_at: 2026-05-16T19:26:14
author: Dominic-Madori Davis
first_crawl_time: 08:01
last_crawl_time: 16:02
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 16:02:17
url:
https://techcrunch.com/2026/05/16/marketing-operating-system-nectar-social-raises-30m-series-a-in-round-led-by-menlo/

summary:
AI-powered marketing platform Nectar Social announced Thursday that it raised a $30 million Series A round led by Menlo Ventures and its Anthology Fund, which was created alongside Anthropic.


title: Research repository ArXiv will ban authors for a year if they let AI do all the work
feed_id: techcrunch
guid: https://techcrunch.com/?p=3123369
published_at: 2026-05-16T18:54:28
author: Anthony Ha
first_crawl_time: 08:01
last_crawl_time: 16:02
created_at: 2026-05-17 08:02:31
updated_at: 2026-05-17 16:02:17
url:
https://techcrunch.com/2026/05/16/research-repository-arxiv-will-ban-authors-for-a-year-if-they-let-ai-do-all-the-work/

summary:
ArXiv is doing more to crack down on the careless use of large language models in scientific papers.


title: Mozilla to UK regulators: VPNs are essential privacy and security tools
feed_id: hacker-news
guid: https://news.ycombinator.com/item?id=48166459
published_at: 2026-05-17T06:17:26
author: WithinReason
first_crawl_time: 16:02
last_crawl_time: 16:02
created_at: 2026-05-17 16:02:17
updated_at: 2026-05-17 16:02:17
url:
https://blog.mozilla.org/netpolicy/2026/05/15/mozilla-to-uk-regulators-vpns-are-essential-privacy-and-security-tools-and-should-not-be-undermined/

summary:
Article URL: https://blog.mozilla.org/netpolicy/2026/05/15/mozilla-to-uk-regulators-vpns-are-essential-privacy-and-security-tools-and-should-not-be-undermined/ Comments URL: https://news.ycombinator.com/item?id=48166459 Points: 61 # Comments: 4


title: Tesla Solar Roof is on life support as it pivot to panels
feed_id: hacker-news
url: https://electrek.co/2026/05/14/tesla-solar-roof-promise-vs-reality-pivot-panels/
guid: https://news.ycombinator.com/item?id=48165980
published_at: 2026-05-17T04:09:52
author: celsoazevedo
first_crawl_time: 16:02
last_crawl_time: 16:02
created_at: 2026-05-17 16:02:17
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://electrek.co/2026/05/14/tesla-solar-roof-promise-vs-reality-pivot-panels/ Comments URL: https://news.ycombinator.com/item?id=48165980 Points: 61 # Comments: 43


title: Grafana Labs internal source code accessed
feed_id: hacker-news
url: https://twitter.com/grafana/status/2055827123236171827
guid: https://news.ycombinator.com/item?id=48165902
published_at: 2026-05-17T03:48:15
author: jschorr
first_crawl_time: 16:02
last_crawl_time: 16:02
created_at: 2026-05-17 16:02:17
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://twitter.com/grafana/status/2055827123236171827 Comments URL: https://news.ycombinator.com/item?id=48165902 Points: 43 # Comments: 10


title: Hosting a website on an 8-bit microcontroller
feed_id: hacker-news
url: https://maurycyz.com/projects/mcusite/
guid: https://news.ycombinator.com/item?id=48165295
published_at: 2026-05-17T01:25:26
author: zdw
first_crawl_time: 16:02
last_crawl_time: 16:02
created_at: 2026-05-17 16:02:17
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://maurycyz.com/projects/mcusite/ Comments URL: https://news.ycombinator.com/item?id=48165295 Points: 109 # Comments: 8


title: Self-Distillation Enables Continual Learning [pdf]
feed_id: hacker-news
url: https://arxiv.org/abs/2601.19897
guid: https://news.ycombinator.com/item?id=48165265
published_at: 2026-05-17T01:19:14
author: teleforce
first_crawl_time: 16:02
last_crawl_time: 16:02
created_at: 2026-05-17 16:02:17
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://arxiv.org/abs/2601.19897 Comments URL: https://news.ycombinator.com/item?id=48165265 Points: 53 # Comments: 13


title: Fisker went bankrupt and owners built an open source car company from the ashes
feed_id: hacker-news
url: https://electrek.co/2026/05/16/fisker-ocean-open-source-ev-story-after-bankruptcy/
guid: https://news.ycombinator.com/item?id=48164891
published_at: 2026-05-16T23:59:47
author: breve
first_crawl_time: 16:02
last_crawl_time: 16:02
created_at: 2026-05-17 16:02:17
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://electrek.co/2026/05/16/fisker-ocean-open-source-ev-story-after-bankruptcy/ Comments URL: https://news.ycombinator.com/item?id=48164891 Points: 121 # Comments: 45


title: Twilight of the Velocipede: Typesetting Races Before the Age of Linotype
feed_id: hacker-news
url: https://publicdomainreview.org/essay/twilight-of-the-velocipede/
guid: https://news.ycombinator.com/item?id=48163956
published_at: 2026-05-16T21:25:07
author: benbreen
first_crawl_time: 16:02
last_crawl_time: 16:02
created_at: 2026-05-17 16:02:17
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://publicdomainreview.org/essay/twilight-of-the-velocipede/ Comments URL: https://news.ycombinator.com/item?id=48163956 Points: 5 # Comments: 0


title: OpenAI and Government of Malta partner to roll out ChatGPT Plus to all citizens
feed_id: hacker-news
url: https://openai.com/index/malta-chatgpt-plus-partnership/
guid: https://news.ycombinator.com/item?id=48163392
published_at: 2026-05-16T20:14:06
author: bookofjoe
first_crawl_time: 16:02
last_crawl_time: 16:02
created_at: 2026-05-17 16:02:17
updated_at: 2026-05-17 16:02:17
summary:
Article URL: https://openai.com/index/malta-chatgpt-plus-partnership/ Comments URL: https://news.ycombinator.com/item?id=48163392 Points: 161 # Comments: 173


