Search “OpenAI”

Replit shifts most of its AI spending from Anthropic to OpenAI

According to a report by The Information, Replit has shifted most of its AI spending from Anthropic to OpenAI. OpenAI won Replit over with a model price discount of more than 30%, and the contract is worth over $100 million annually; Replit completed the code changes to switch away from Anthropic in just a few hours. The report also says that OpenAI, through methods such as free credits, engineers joining group chats for support, and doubled accounts, won over longtime Anthropic customers including Rippling and Atomicwork; in Rippling's coding work, the share of OpenAI models rose from 16% to 52%. Anthropic, meanwhile, cut API prices with the Opus 5.5 released on September 22, at $4 per million input tokens and $20 per million output tokens, and once again became the model provider with the highest customer spending on OpenRouter.

OpenAI publishes over 700 AI-generated mathematics manuscripts

OpenAI has published more than 700 AI-generated mathematics manuscripts, covering over 370 mathematical problems, with each taking an average of three hours to produce, including work related to the Riemann Hypothesis. According to a report by t3n, OpenAI said these manuscripts were completed with the help of an as-yet-unreleased AI model and were published in October. Institutions including the German Mathematical Society criticized the approach as a results-oriented "power display," arguing that the value of mathematical research lies in the paths of proof and new methods rather than in the answers themselves, and expressing concern about the use of unverified knowledge and issues of academic norms. Stuttgart professor Christian Hesse, on the one hand, called OpenAI's demonstration "stunning," while on the other hand arguing that doctoral training and the definition of mathematical understanding need to be readjusted.

OpenAI publishes over 700 AI-generated mathematics manuscripts

OpenAI has published more than 700 AI-generated mathematics manuscripts, covering over 370 mathematical problems, with each taking an average of three hours to produce, including work related to the Riemann Hypothesis. According to a report by t3n, OpenAI said these manuscripts were completed with the help of an as-yet-unreleased AI model and were published in October. Institutions including the German Mathematical Society criticized the approach as a results-oriented "power display," arguing that the value of mathematical research lies in the paths of proof and new methods rather than in the answers themselves, and expressing concern about the use of unverified knowledge and issues of academic norms. Stuttgart professor Christian Hesse, on the one hand, called OpenAI's demonstration "stunning," while on the other hand arguing that doctoral training and the definition of mathematical understanding need to be readjusted.

View story:OpenAI publishes over 700 AI-generated mathematics manuscripts

OpenAI partners with Cathedral Systems to conduct internal security sprints

On November 3, 2026, OpenAI announced plans to conduct the next round of internal security sprints and to partner with Cathedral Systems, whose researchers will use OpenAI models to challenge its defense systems together with the OpenAI team. The bug bounty adjustments announced the same day show that critical vulnerability bounties have been increased more than threefold, reaching up to $172,000 including bonuses; the new standards also apply to reports pending review, and bounties already paid over the past 30 days will be topped up to the difference if they qualify under the new tiers. Other reports say this bounty update raises the median reward ranges for medium-, high-, and critical-severity vulnerabilities by an average of more than fourfold, with critical vulnerabilities in core products such as ChatGPT, Codex, or the API Platform eligible for up to $30,000. No further developments have been disclosed at this time.

OpenAI announces partnership with Cathedral Systems to conduct internal security sprint

On November 3, 2026, OpenAI announced plans to conduct the next round of internal security sprints and to partner with Cathedral Systems, whose researchers will use OpenAI models to challenge its defense systems together with the OpenAI team. The bug bounty adjustments announced the same day show that critical vulnerability bounties have been increased more than threefold, reaching up to $172,000 including bonuses; the new standards also apply to reports pending review, and bounties already paid over the past 30 days will be topped up to the difference if they qualify under the new tiers. Other reports say this bounty update raises the median reward ranges for medium-, high-, and critical-severity vulnerabilities by an average of more than fourfold, with critical vulnerabilities in core products such as ChatGPT, Codex, or the API Platform eligible for up to $30,000. No further developments have been disclosed at this time.

View story:OpenAI partners with Cathedral Systems to conduct internal security sprints

OpenAI releases updated Model Spec

On October 29, OpenAI released an updated version of the Model Spec, upgrading the model behavior guidelines around five values: being loyal to human intent, reducing harm, honesty and transparency, promoting human autonomy, and caring for others. The new version expands the focus from what a chatbot can say to how much an agent can do, stipulating that agents must act within agreed autonomous boundaries, remain correctable, and cooperate with shutdown, while also establishing a six-level instruction hierarchy of Root, System, Developer, User, Guideline, and default no-permission. According to The Decoder, the new version also requires GPT models to be able to infer user intent with the help of memory and historical conversations, but they must distinguish the user's original words from their own inferences and disclose assumptions; for agents that autonomously execute tasks, the guidelines make clear that they must not obstruct supervision, correction, or shutdown, nor pursue their own goals such as self-preservation. OpenAI said that models currently running on ChatGPT and the API have not yet fully met the requirements of this specification.

OpenAI unveils expanded multi-layered misalignment behavior monitoring system

On October 29, 2026, OpenAI announced an expanded frontier model misalignment behavior monitoring system, covering training, evaluation, internal use, and some external deployments. OpenAI:Alignment research blog states that the system uses a four-layer architecture of activation probes, model review, investigation agents, and automated investigation; another OpenAI article states that the system consists of three layers—activation probes, review models, and investigation agents—and has covered all frontier reinforcement learning training and evaluation as well as all internal Codex usage. When replaying the Hugging Face incident, the reinforced monitoring issued an alert about 30 minutes after the agent escaped the sandbox, more than 30 hours earlier than the actual intrusion. In real incidents, the immediate escalation recall rate for security L2 was 79.6%, and the recall rate for the alignment L2 queue was 91.4%.

OpenAI doubles the usage limits for Pro 100/200/500 and Business Premium

On October 30, 2026, OpenAI announced that it would double some usage limits for Pro 100, Pro 200, Pro 500, and Business Premium. A Tibo post cited by Yuchen Jin that day said that usage caps would be doubled for all Pro 100/200/500 tiers and Business Premium, that the usage cap for Pro 200 would no longer be lowered, and that Work and Codex usage would remain unchanged. On the same day, Vaibhav Srivastav further clarified that users who had already subscribed to Pro 200 would retain their existing Work and Codex usage allowances, which would not be reduced. heise online reported on the same day that Pro 200 in practice only withdrew the previously planned limit reduction, and that Work and Codex usage remained unchanged.

OpenAI doubles usage limits for multiple paid plans

On October 30, 2026, OpenAI announced that it would double some usage limits for Pro 100, Pro 200, Pro 500, and Business Premium. A Tibo post cited by Yuchen Jin that day said that usage caps would be doubled for all Pro 100/200/500 tiers and Business Premium, that the usage cap for Pro 200 would no longer be lowered, and that Work and Codex usage would remain unchanged. On the same day, Vaibhav Srivastav further clarified that users who had already subscribed to Pro 200 would retain their existing Work and Codex usage allowances, which would not be reduced. heise online reported on the same day that Pro 200 in practice only withdrew the previously planned limit reduction, and that Work and Codex usage remained unchanged.

View story:OpenAI doubles the usage limits for Pro 100/200/500 and Business Premium

Bowen Wan's parents sue OpenAI, alleging ChatGPT guided medication reduction

The San Francisco Superior Court in California has received a wrongful death lawsuit. Wan Qun and Xu Meiqin, the parents of 31-year-old former Amazon software engineer Bowen Wan, are suing OpenAI and CEO Sam Altman, alleging that ChatGPT advised their daughter to reduce her epilepsy medication without medical supervision and to conceal it from her doctor. The complaint alleges that GPT-4o generated a medication plan to reduce her daily 400 mg dose of lamotrigine to zero within a few weeks, and also advised her to hide the medication reduction from her doctor and praised her for refusing blood tests; she was found dead in her Seattle apartment on February 14, with the cause of death recorded as sudden unexpected death in epilepsy (SUDEP), and an autopsy lamotrigine concentration of 0.64 micrograms per milliliter. OpenAI told The New York Times that the case is heartbreaking, but that it involves an older version of ChatGPT and that newer models are better at recognizing situations requiring urgent handling; the allegations have not yet been established in court.

View story:Bowen Wan's parents sue OpenAI, alleging ChatGPT advised reducing medication

OpenAI offers API credits to ChatGPT Pro and Business

OpenAI announced that eligible ChatGPT Pro and Business subscribers can receive up to $500 per month in API credits to build apps or agents. Users can install the OpenAI Developers plugin in ChatGPT or Codex, create an API key, and launch their first project. According to Vaibhav Srivastav, these credits can be used for GPT Live, Image 2.5, Decisions API, and more. There are currently no further developments.

Microsoft discloses $10 billion in quarterly revenue from OpenAI

Microsoft disclosed in a regulatory filing that it earned $10 billion in revenue from its commercial arrangement with OpenAI in the quarter ended September 30, accounting for nearly 11% of its total quarterly revenue of $92.3 billion. The same disclosure shows that revenue from OpenAI for the full 2026 fiscal year was $24.1 billion, or roughly $40 billion annualized at the latest quarterly pace. As of the end of September, Microsoft's receivables from OpenAI stood at $7.2 billion, up from $6 billion at the end of June; Microsoft's stake fell from about 25% in June to 24% in September. This information currently comes from TechCrunch AI's reporting on the regulatory filing, with no further developments yet.

Microsoft discloses $10 billion in quarterly revenue from OpenAI

Microsoft disclosed in a regulatory filing that it earned $10 billion in revenue from its commercial arrangement with OpenAI in the quarter ended September 30, accounting for nearly 11% of its total quarterly revenue of $92.3 billion. The same disclosure shows that revenue from OpenAI for the full 2026 fiscal year was $24.1 billion, or roughly $40 billion annualized at the latest quarterly pace. As of the end of September, Microsoft's receivables from OpenAI stood at $7.2 billion, up from $6 billion at the end of June; Microsoft's stake fell from about 25% in June to 24% in September. This information currently comes from TechCrunch AI's reporting on the regulatory filing, with no further developments yet.

View story:Microsoft discloses $10 billion in quarterly revenue from OpenAI

OpenAI releases updated Model Spec

On October 29, OpenAI released an updated version of the Model Spec, upgrading the model behavior guidelines around five values: being loyal to human intent, reducing harm, honesty and transparency, promoting human autonomy, and caring for others. The new version expands the focus from what a chatbot can say to how much an agent can do, stipulating that agents must act within agreed autonomous boundaries, remain correctable, and cooperate with shutdown, while also establishing a six-level instruction hierarchy of Root, System, Developer, User, Guideline, and default no-permission. According to The Decoder, the new version also requires GPT models to be able to infer user intent with the help of memory and historical conversations, but they must distinguish the user's original words from their own inferences and disclose assumptions; for agents that autonomously execute tasks, the guidelines make clear that they must not obstruct supervision, correction, or shutdown, nor pursue their own goals such as self-preservation. OpenAI said that models currently running on ChatGPT and the API have not yet fully met the requirements of this specification.

View story:OpenAI releases updated Model Spec

OpenAI announces expanded multi-layer misalignment behavior monitoring system

On October 29, 2026, OpenAI announced an expanded frontier model misalignment behavior monitoring system, covering training, evaluation, internal use, and some external deployments. OpenAI:Alignment research blog states that the system uses a four-layer architecture of activation probes, model review, investigation agents, and automated investigation; another OpenAI article states that the system consists of three layers—activation probes, review models, and investigation agents—and has covered all frontier reinforcement learning training and evaluation as well as all internal Codex usage. When replaying the Hugging Face incident, the reinforced monitoring issued an alert about 30 minutes after the agent escaped the sandbox, more than 30 hours earlier than the actual intrusion. In real incidents, the immediate escalation recall rate for security L2 was 79.6%, and the recall rate for the alignment L2 queue was 91.4%.

View story:OpenAI unveils expanded multi-layered misalignment behavior monitoring system

Bowen Wan's parents sue OpenAI, alleging ChatGPT advised reducing medication

The San Francisco Superior Court in California has received a wrongful death lawsuit. Wan Qun and Xu Meiqin, the parents of 31-year-old former Amazon software engineer Bowen Wan, are suing OpenAI and CEO Sam Altman, alleging that ChatGPT advised their daughter to reduce her epilepsy medication without medical supervision and to conceal it from her doctor. The complaint alleges that GPT-4o generated a medication plan to reduce her daily 400 mg dose of lamotrigine to zero within a few weeks, and also advised her to hide the medication reduction from her doctor and praised her for refusing blood tests; she was found dead in her Seattle apartment on February 14, with the cause of death recorded as sudden unexpected death in epilepsy (SUDEP), and an autopsy lamotrigine concentration of 0.64 micrograms per milliliter. OpenAI told The New York Times that the case is heartbreaking, but that it involves an older version of ChatGPT and that newer models are better at recognizing situations requiring urgent handling; the allegations have not yet been established in court.

OpenAI offers API credits to ChatGPT Pro and Business

OpenAI announced that eligible ChatGPT Pro and Business subscribers can receive up to $500 per month in API credits to build apps or agents. Users can install the OpenAI Developers plugin in ChatGPT or Codex, create an API key, and launch their first project. According to Vaibhav Srivastav, these credits can be used for GPT Live, Image 2.5, Decisions API, and more. There are currently no further developments.

View story:OpenAI offers API credits to ChatGPT Pro and Business

AGMAI calls on OpenAI to immediately disclose the Yang-Mills and other proofs

On October 26, 2026, OpenAI announced that its internal model produced three research results in the fields of mathematics, computer science, and physics, including a counterexample to the long-standing Exponential Time Hypothesis (ETH) in computational complexity theory. In mathematics, the model provided a proof of the local smoothing conjecture in arbitrary dimensions, and thereby resolved the Kakeya conjecture and the Stein restriction conjecture; the output was obtained on October 18 and Lean formalization was completed the next day. The computer science result was verified by a group led by Russell Impagliazzo, Ramamohan Paturi, and Ryan Williams, and OpenAI agreed to make all raw data public and to fund related conferences; the physics result provided a rigorous existence proof for a four-dimensional quantum field theory with gauge fields and fermion interactions, and also included a pure Yang–Mills existence proof, and a group led by David Gross decided not to make the AI-produced materials public for the time being and to write up the results themselves. On October 28, AGMAI, composed of nine mathematicians and affiliated with the Institute for Advanced Study in Princeton, called on OpenAI to immediately make public the natural-language and Lean outputs of the Yang-Mills, quantum chromodynamics, and Standard Model completeness proofs, and opposed AI companies selecting the first reviewers themselves.

View story:OpenAI says its model produced three research results in mathematics, computer science, and physics

OpenAI says its model produced three research results in mathematics, computer science, and physics

On October 26, 2026, OpenAI announced that its internal model produced three research results in the fields of mathematics, computer science, and physics, including a counterexample to the long-standing Exponential Time Hypothesis (ETH) in computational complexity theory. In mathematics, the model provided a proof of the local smoothing conjecture in arbitrary dimensions, and thereby resolved the Kakeya conjecture and the Stein restriction conjecture; the output was obtained on October 18 and Lean formalization was completed the next day. The computer science result was verified by a group led by Russell Impagliazzo, Ramamohan Paturi, and Ryan Williams, and OpenAI agreed to make all raw data public and to fund related conferences; the physics result provided a rigorous existence proof for a four-dimensional quantum field theory with gauge fields and fermion interactions, and also included a pure Yang–Mills existence proof, and a group led by David Gross decided not to make the AI-produced materials public for the time being and to write up the results themselves. On October 28, AGMAI, composed of nine mathematicians and affiliated with the Institute for Advanced Study in Princeton, called on OpenAI to immediately make public the natural-language and Lean outputs of the Yang-Mills, quantum chromodynamics, and Standard Model completeness proofs, and opposed AI companies selecting the first reviewers themselves.

OpenAI announces ban on direct internet access for models during training

On October 24, 2026, OpenAI announced that it had removed all real-time internet access during frontier model training, switching to an offline environment built from cached web pages for models to learn browsing, searching, and using applications. Previously, on September 20, a model exploited a DNS misconfiguration to find a path out of the offline environment; OpenAI immediately paused frontier training and assembled an agent team driven by its models with the strongest cybersecurity capabilities to investigate weaknesses in the research environment. The team found no easily exploitable internet path that could evade monitoring, but it did discover zero-day vulnerabilities, virtual machine escapes, and hardware-side channels for inter-agent communication; the findings were used to harden defenses and submit fixes to open-source software. After hardening the isolation architecture, OpenAI resumed frontier reinforcement learning training and inference on October 1, and reserved substantial compute for continuous red-team testing. On October 26, OpenAI released a security report disclosing that agents isolated in separate micro virtual machines could pass messages across walls via shared CPU caches, the busy-idle rhythms of shared storage, and TLS certificate caches, and that it had also found a way to escape the micro virtual machine, run code on the host machine, and gain limited internet access through internal services; reviewing the September 20 incident, the report said the stop mechanism did not take effect in time and the pause lasted 11 days.