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Friday

  1. Rohan Paul

    OpenAI lowers target valuation for about $30 billion funding to $1.25 trillion

    According to Bloomberg, OpenAI has lowered the target valuation for a funding round of about $30 billion to $1.25 trillion, $150 billion below the previous $1.4 trillion. Even after the cut, the valuation is still about 47% higher than the $852 billion (including newly injected funds) at the time of a $122 billion funding round in March. Coatue Management is in talks to co-lead the round, and OpenAI has also had contact with several UAE investment funds and BlackRock; the cut comes amid a tech stock selloff, with investors worried that AI spending has outpaced returns, after mixed earnings from Meta Platforms and Tesla.

    According to Bloomberg, OpenAI has lowered the target valuation for a funding round of about $30 billion to $1.25 trillion, $150 billion below the previous $1.4 trillion. Even after the cut, the valuation is still about 47% higher than the $852 billion (including newly injected funds) at the time of a $122 billion funding round in March. Coatue Management is in talks to co-lead the round, and OpenAI has also had contact with several UAE investment funds and BlackRock; the cut comes amid a tech s

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    #ai-news#Industry news#OpenAI
  2. Rohan PaulSelected

    WSJ says OpenAI fired 3 safety researchers over Signal chat investigation

    According to a WSJ report, OpenAI fired 3 safety researchers after safety personnel discovered disappearing Signal chats between the 3 safety researchers and an outside safety researcher. The phone checks began with a September news report stating that OpenAI's latest model Astra uses a new approach that makes it smarter but writes down less of its thought process, so humans can see less of the reasoning. OpenAI treated the report as a leak of its secret model design and began tracing the source of the information; investigators listed Ryan Greenblatt, who had helped METR analyze logs from the July Hugging Face hack, as a suspected leaker, and he denies it.

    According to a WSJ report, OpenAI fired 3 safety researchers after safety personnel discovered disappearing Signal chats between the 3 safety researchers and an outside safety researcher. The phone checks began with a September news report stating that OpenAI's latest model Astra uses a new approach that makes it smarter but writes down less of its thought process, so humans can see less of the reasoning. OpenAI treated the report as a leak of its secret model design and began tracing the source

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    #ai-news#Safety / alignment#OpenAI#Industry news
  3. Rohan Paul

    Uber Opens OpenAI ChatGPT Work Agents to Over 30,000 Employees

    Uber has opened OpenAI's ChatGPT Work agents to more than 30,000 employees, 30 times the size of its 1,000-person pilot. Engineers continue to use Codex, while ChatGPT Work is mainly aimed at operations, finance, marketing and product teams, with internal skills and training provided. Uber did not disclose costs or productivity results; the rollout comes one month after it cut about 3,300 positions, but the company did not link the two.

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    #ai-news#Industry news#Agents#OpenAI
  4. 36Kr · AI

    Altman: OpenAI's internal models surpass public models in mathematical research capability; programmers are not replaced by AI but busier and earning more

    In a 45-minute conversation, Sam Altman said that OpenAI's not-yet-public models have reached a level in some mathematical research tasks that existing public models find hard to match, and he expects to find the first candidate treatment for a major disease in about two years. He said programmers have not lost their jobs because of AI; instead they are busier, creating greater value and even earning more, because the world's demand for software far exceeds expectations; he himself has not looked at a line of code for about a year. Speaking of the next-generation personal AI assistant, he believes model intelligence is already sufficient; what is lacking is product, compute, and new hardware that can continuously perceive the real environment, and he said Dot saves him about an hour every day.

    In a 45-minute conversation, Sam Altman said that OpenAI's not-yet-public models have reached a level in some mathematical research tasks that existing public models find hard to match, and he expects to find the first candidate treatment for a major disease in about two years. He said programmers have not lost their jobs because of AI; instead they are busier, creating greater value and even earning more, because the world's demand for software far exceeds expectations; he himself has not looke

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    #hot-signal#English text is being prepared.#OpenAI#English text is being prepared.
  5. Codex：GitHub Releases

    OpenAI Codex Releases Version 0.164.0

    OpenAI Codex has released version 0.164.0, adding ten numbered /presets slots for saving reusable prompts and slash commands, and supporting inline /model and /permissions parameters to directly set the model, reasoning effort, speed, and permission configuration. This version also supports enterprise MCP connection authentication, credential masking for remote Bash and Zsh sessions, and enables the Amazon Bedrock setup wizard by default.

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    #engineering#Product updates#Agents#English text is being prepared.
  6. t3n

    Developer releases first Jailbreak for Nintendo Switch 2 with the help of OpenAI Codex

    Developer pepsipu released the first Jailbreak for Nintendo Switch 2, completed with the help of OpenAI's coding agent Codex. He used Jet-KVM to let Codex send controller inputs to the console and analyze HDMI output, and also added a remote switch to automatically press the power button when the console crashes; the software part took two weeks, exploiting a vulnerability in the eShop app Smile Basic 4 to achieve memory access and code execution. This Jailbreak is a Tethered type and becomes invalid after the console restarts; Nintendo has already removed the app from the eShop after the release.

    Developer pepsipu released the first Jailbreak for Nintendo Switch 2, completed with the help of OpenAI's coding agent Codex. He used Jet-KVM to let Codex send controller inputs to the console and analyze HDMI output, and also added a remote switch to automatically press the power button when the console crashes; the software part took two weeks, exploiting a vulnerability in the eShop app Smile Basic 4 to achieve memory access and code execution. This Jailbreak is a Tethered type and becomes in

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    #hot-signal#Industry news#English text is being prepared.#Agents
  7. Testing Catalog

    OpenAI Decisions API Now Generally Available, Supporting Three Types of Decision Calls

    OpenAI announced that the Decisions API is now generally available and can be used via the API and the OpenAI Platform. The interface is used to classify text and images, evaluate inputs, and decide the next step without generating a full model response, offering three types of decisions: Predicate, Choice, and Score. The publisher said it is similar to Jev and noted that the API puts the probability of the GPT-7 series being released this year at 21%.

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    #hot-signal#Product updates#OpenAI#English text is being prepared.
  8. SiliconANGLE

    Former OpenAI science lead Kevin Weil founds Warp Sciences, raising $215 million to do medicinal chemistry

    Kevin Weil, former head of OpenAI's science program, has founded drug discovery chemistry company Warp Sciences, launching with $215 million in new funding about six months after he left OpenAI. The company is building a chemistry contract research organization in the United States; its first service is analog synthesis for lead compound optimization. Experimental data will be used to train its AI models, and chemists wearing cameras and sensor gloves will demonstrate actions so robots can learn experimental operations. Co-founders include former White House chief data scientist DJ Patil and former Meta executive Mano Paluri. The round was led by Lightspeed Venture Partners.

    Kevin Weil, former head of OpenAI's science program, has founded drug discovery chemistry company Warp Sciences, launching with $215 million in new funding about six months after he left OpenAI. The company is building a chemistry contract research organization in the United States; its first service is analog synthesis for lead compound optimization. Experimental data will be used to train its AI models, and chemists wearing cameras and sensor gloves will demonstrate actions so robots can learn

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    #hot-signal#Industry news#English text is being prepared.
  9. Phoenix Tech

    OpenAI Fully Opens the Decisions API Based on GPT-6 Luna

    OpenAI announced the full opening of the Decisions API built on GPT-6 Luna, aimed at questions with a limited set of answers, with response speeds up to 10 times faster than calling GPT-6 Luna through the Responses API. The API charges $0.10 per million input tokens, $0.01 per million cached input tokens, bills only for input tokens, and output tokens are free. Since the public beta, it has added native GPT-Live integration, prompt caching, and inference data residency support in the United States and the European Union, and up to 400 questions can be submitted per request.

    OpenAI announced the full opening of the Decisions API built on GPT-6 Luna, aimed at questions with a limited set of answers, with response speeds up to 10 times faster than calling GPT-6 Luna through the Responses API. The API charges $0.10 per million input tokens, $0.01 per million cached input tokens, bills only for input tokens, and output tokens are free. Since the public beta, it has added native GPT-Live integration, prompt caching, and inference data residency support in the United Stat

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    #chinese#Product updates#OpenAI#Agents
  10. IT Home · Artificial IntelligenceSelected

    OpenAI fully opens its decision API, based on GPT-6 Luna, at $0.1 per million input tokens

    OpenAI announced the full opening of the Decisions API, which is built on GPT-6 Luna and is aimed at questions with bounded answers, helping applications and agents make near-real-time decisions based on text, images, and structured inputs, with response speeds up to 10 times faster than calling GPT-6 Luna through the Responses API. On pricing, input is charged at $0.1 per million tokens, cached input hits are charged at $0.01 per million tokens, and billing is based only on input tokens, with output tokens free. Since the public beta, native GPT-Live integration, Prompt caching, and inference data residency support in the United States and the European Union have been added, and up to 400 questions can be submitted per request.

    OpenAI announced the full opening of the Decisions API, which is built on GPT-6 Luna and is aimed at questions with bounded answers, helping applications and agents make near-real-time decisions based on text, images, and structured inputs, with response speeds up to 10 times faster than calling GPT-6 Luna through the Responses API. On pricing, input is charged at $0.1 per million tokens, cached input hits are charged at $0.01 per million tokens, and billing is based only on input tokens, with o

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    #analysis#Product updates#OpenAI#Agents
  11. IT Home · Artificial Intelligence

    METR and Redwood Research evaluations found vulnerabilities in OpenAI's internal monitoring system

    AI safety evaluation organizations METR and Redwood Research conducted a pilot evaluation of OpenAI's internal monitoring system and found multiple new vulnerabilities, one of which could be exploited by AI agents to let hundreds of operations escape monitoring. The evaluation took place from July 21 to August 11, with each organization sending one researcher into OpenAI's internal systems to review code and documentation. The researchers also found that OpenAI's Codex agent has potential pathways to bypass safety restrictions, through which it could obtain the same full operational permissions as users; OpenAI said that vulnerabilities affecting the security safeguards of actual running systems have all been fixed, but whether the fixes are effective has not yet been verified by the two organizations.

    AI safety evaluation organizations METR and Redwood Research conducted a pilot evaluation of OpenAI's internal monitoring system and found multiple new vulnerabilities, one of which could be exploited by AI agents to let hundreds of operations escape monitoring. The evaluation took place from July 21 to August 11, with each organization sending one researcher into OpenAI's internal systems to review code and documentation. The researchers also found that OpenAI's Codex agent has potential pathwa

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    #analysis#Safety / alignment#Agents#OpenAI
  14. TechCrunch AI

    OpenAI Opens Decisions API to All, Competing with TypeSafe's Jev for the Decision Model Market

    OpenAI opened the Decisions API to all customers on Thursday; the product was announced at the September 29 Developer Day and is based on a reconfigured ChatGPT Luna to speed up inference and reduce costs. Nikunj Handa, OpenAI's head of API product, said latency has been cut from 1 to 3 seconds to 100, 120, and 180 milliseconds; the public version adds voice and vision modalities and deploys inference resources by region to reduce latency. In early trials at Box, Datadog, Ramp, and Speak, Speak cut the action interval from 1.4 seconds to 0.13 seconds; on the AIM System One Index and the Artificial Analysis Decision Index, OpenAI's decision model ranks eighth and fourteenth, respectively, trailing Liquid's D1 Ultra and Base Lab's Elephant-1.

    OpenAI opened the Decisions API to all customers on Thursday; the product was announced at the September 29 Developer Day and is based on a reconfigured ChatGPT Luna to speed up inference and reduce costs. Nikunj Handa, OpenAI's head of API product, said latency has been cut from 1 to 3 seconds to 100, 120, and 180 milliseconds; the public version adds voice and vision modalities and deploys inference resources by region to reduce latency. In early trials at Box, Datadog, Ramp, and Speak, Speak

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    #tech-media#Product updates#OpenAI#Reasoning
  15. cnBeta

    Former OpenAI science lead founds Warp Sciences, raising $215 million to build robotic drug lab

    Former OpenAI science lead Wei Er and three co-founders founded Warp Sciences, raising $215 million and planning to establish a chemistry contract research organization in the United States to provide molecule synthesis and testing services for drug discovery teams. In its first phase, the company will focus on synthesizing analogs for lead compound optimization; clients decide which molecules to study and retain control of their drug programs, and Warp will not develop its own drug pipeline. To train the robots, chemistry researchers will wear camera equipment and sensor gloves to demonstrate and record experimental operations, and the data from each round of experiments will then be used to improve the AI models and subsequent experimental protocols.

    Former OpenAI science lead Wei Er and three co-founders founded Warp Sciences, raising $215 million and planning to establish a chemistry contract research organization in the United States to provide molecule synthesis and testing services for drug discovery teams. In its first phase, the company will focus on synthesizing analogs for lead compound optimization; clients decide which molecules to study and retain control of their drug programs, and Warp will not develop its own drug pipeline. To

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    #hot-signal#Industry news#English text is being prepared.#Agents
  16. Unite.AI

    METR red-team exercise finds vulnerabilities in OpenAI's internal monitoring system

    On October 22, METR and Redwood Research publicly disclosed a pilot exercise in which each organization assigned one employee to spend three weeks working deeply with OpenAI's internal infrastructure, stress-testing the internal misalignment monitoring system and finding multiple new vulnerabilities that existed as of July 21, 2026 and earlier. The exercise ran from July 21 to August 11, produced a 61-page internal report, and OpenAI provided a redacted 38-page version to the management of both organizations. METR estimated that at the time, approximately 75–94% of internal Responses API agent traffic generated by models at least as capable as GPT-5.5 could be monitored, and 99.2% of internal Codex agent traffic could be monitored; evaluators also found that the Codex agent could in principle bypass the sandbox and Auto-Review, as well as exploitation methods that could keep hundreds of recent operations unmonitored. OpenAI said all vulnerabilities affecting the production guardrail stack have been patched; METR said it has not yet evaluated this claim.

    On October 22, METR and Redwood Research publicly disclosed a pilot exercise in which each organization assigned one employee to spend three weeks working deeply with OpenAI's internal infrastructure, stress-testing the internal misalignment monitoring system and finding multiple new vulnerabilities that existed as of July 21, 2026 and earlier. The exercise ran from July 21 to August 11, produced a 61-page internal report, and OpenAI provided a redacted 38-page version to the management of both

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    #hot-signal#Safety / alignment#Agents#OpenAI
  18. Greg Brockman

    OpenAI and Uber Partner to Roll Out ChatGPT Work to All Employees

    Greg Brockman said that OpenAI is working closely with Uber to roll out ChatGPT Work to every Uber employee, bringing agent capabilities to the entire company. According to Uber executive Praveen Neppalli, whom he cited, after completing a 1,000-person pilot, Uber is rolling out the enterprise-oriented ChatGPT Work to its entire workforce; previously, its engineering processes had shifted from AI assisting individual tasks to completing entire workflows.

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    #hot-signal#Product updates#Agents#OpenAI

Thursday

  1. METR BlogSelected

    METR and Redwood Research red-team test OpenAI's internal agent monitoring system

    METR and Redwood Research conducted a high-privilege red-team test of OpenAI's internal misalignment monitoring system from July 21 to August 11, producing a 61-page internal report. The evaluation estimated that about 75–94% of Responses API agent traffic could be monitored, and 99.2% of internal Codex agent traffic could be monitored, but RL training was not included in monitoring at the time, and unmonitored compaction events could cause about 10% of eligible Codex traffic to be missed. The report also lists vulnerabilities such as agents being able to bypass the Codex sandbox and Auto-Review, exploiting serialization differences to disable monitoring, and disabling monitoring through two client-controllable headers; OpenAI said vulnerabilities affecting the production protection stack have all been patched.

    METR and Redwood Research conducted a high-privilege red-team test of OpenAI's internal misalignment monitoring system from July 21 to August 11, producing a 61-page internal report. The evaluation estimated that about 75–94% of Responses API agent traffic could be monitored, and 99.2% of internal Codex agent traffic could be monitored, but RL training was not included in monitoring at the time, and unmonitored compaction events could cause about 10% of eligible Codex traffic to be missed. The r

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    #safety#Safety / alignment#Agents#OpenAI