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All news · Today14 items

#OpenAI

All collected and published items, ordered by time. Picks are a selected subset.
10/10Sat
  1. OpenAI Developers · X46

    Now in beta: composer predictions in Codex for Pro users. Codex can now suggest your next message based on your conversation and how you talk to it. One of the most loved new features we've ever tested internally. https://t.co/0u8d2a3feS

    Now in beta: composer predictions in Codex for Pro users. Codex can now suggest your next message based on your conversation and how you talk to it. One of the most loved new features we've ever tested internally. https://t.co/0u8d2a3feS

  2. TechCrunch · AI28

    Amazon drops data center NDAs, and AI agents want your credit card

    Amazon announced it will no longer use NDAs when negotiating data center deals with local governments, after Microsoft made a similar move earlier this year. Meanwhile, a group of startups is betting that consumers will let AI agents access their inboxes, files, and credit cards, provided they can get websites to allow it. The TechCrunch Equity podcast discussed whether dropping NDAs will change how data center deals are done, and why trust may be the real product for personal AI startups.

10/9Fri
  1. The Decoder60

    OpenAI Fires Three Safety Researchers; Those Involved Publish an Open Letter with Three Demands

    OpenAI has fired three safety researchers—Tomek Korbak, Jasmine Wang, and Mikita Balesni—who were involved in the investigation of the Hugging Face hacking incident. The three sent an open letter to OpenAI's Safety and Security Committee and other bodies, stating that the dismissal process was sudden and public, leaving current employees feeling fearful.

  2. MIT Technology Review · AI32

    We Overestimated AI's Ability to Say "No"

    MIT Technology Review published an article pointing out that AI's refusal mechanism is becoming a load-bearing wall of the safety system, yet it is not reliable. In 2021, Anthropic proposed that large language models should be "helpful, honest, and harmless." Today, models have learned to say "no" through extensive refusal training and AI-to-AI training, but refusal is probabilistic and can still be bypassed. OpenAI board member Zico Kolter said, "Where to draw the line is a huge question," and currently this is decided secretly by AI companies, with governments also set to intervene.

  3. OpenAI Developers · X11

    OpenAI Developer Finds Dishwashing Details “a Little Concerning”

    @jomatech introduces “ChatGPT for Dishwashing” and says GPT-6 achieves state-of-the-art results on dishwashing benchmarks for long-running jobs and difficult stains. The post also describes the Navier–Stokes Millennium Prize Problem as a $1 million challenge about whether the equations describing fluid motion can break. OpenAI Developers says, “The attention to detail is a little concerning.” https://t.co/UOfOtusB9q

  4. Kevin Weil · X24

    "The invention of the boat reduced the importance of swimming, but enabled the discovery of new lands." Beautiful analogy from @ylecun about the opportunities and changes with AI, in mathematics and in science more broadly.

    "The invention of the boat reduced the importance of swimming, but enabled the discovery of new lands." Beautiful analogy from @ylecun about the opportunities and changes with AI, in mathematics and in science more broadly.

  5. The Decoder78

    Mathematicians call for a boycott of OpenAI as AI-generated proofs flood the field

    Some researchers in mathematics are calling for a boycott of OpenAI after the company released more than 700 AI-generated mathematical proof files at once. Fields Medalist Terence Tao reposted an AHM statement on his blog, saying the move was a display of power rather than an academic showcase. He argued that once problems are solved at scale by AI, the process cannot be reversed and may contaminate other lines of research.

    Why it matters: The backlash in mathematics to OpenAI's release of more than 700 AI proof drafts at once highlights tensions between AI and the academic community over attribution, verification, and pace.

  6. OpenAI Developers · X81

    OpenAI rolls out Ultrafast for GPT-6.1 Sol across API, Codex, and ChatGPT Work

    Ultrafast is rolling out today for GPT-6.1 Sol in the API, Codex, and ChatGPT Work. OpenAI describes it as offering near-Astra intelligence at up to 8x faster speeds than Sol Standard. https://t.co/Cyy9k2hifV

    Why it matters: The comparison with Sol Standard gives developers a concrete speed reference for the rollout, alongside OpenAI’s stated positioning of its intelligence near Astra.

  7. TechCrunch · AI60

    OpenAI's mathematical solutions do not yet meet academic standards

    OpenAI released solutions to hundreds of difficult math problems this week, saying it had consulted an advisory group of elite mathematicians, but the work did not fully meet the group's standards. The advisory group on Mathematics and AI (AGMAI), hosted by the Institute for Advanced Study in Princeton, issued guidelines in late September. Its first requirement was to stop testing difficult math problems on proprietary models, while OpenAI explicitly said it was using open research problems to evaluate its proprietary models.

  8. TechCrunch · AI65

    OpenAI's annualized revenue reportedly about $20 billion below prior expectations

    The Financial Times reports that OpenAI told investors its annualized revenue was "close to $50 billion", about $20 billion below the roughly $70 billion figure previously circulated. That earlier figure came from OpenAI investors estimating revenue to make a direct comparison with Anthropic; the two companies calculate annualized revenue differently. Anthropic counts sales by cloud partners, while OpenAI does not.

  9. Epoch AI · X42

    Can AI automate Epoch? We're introducing Epoch Automation Reports to evaluate frontier models on realistic, open-ended tasks drawn from our own work. Claude Fable 5.1 and GPT-6 Astra lead, yet they are far from fully automating Epoch’s work.

    Can AI automate Epoch? We're introducing Epoch Automation Reports to evaluate frontier models on realistic, open-ended tasks drawn from our own work. Claude Fable 5.1 and GPT-6 Astra lead, yet they are far from fully automating Epoch’s work.

10/8Thu
  1. 量子位62

    UniPat AI releases PaperBenchX: GPT-6 Astra fully reproduces only 13.98% of papers

    UniPat AI released PaperBenchX, described as the first end-to-end, multidisciplinary benchmark for reproducing paper results. It builds 93 reproduction tasks from 93 papers, spanning 12 research areas including electromagnetics, photonics, chemistry, materials, biology, and robotics, across 10 field-native scientific environments, with 3,168 expert-verified scoring criteria.