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openai

OpenAI is an American company dedicated to artificial intelligence research and development, with the mission of creating safe and beneficial general artificial intelligence (AGI). Its most well-known products are ChatGPT and the GPT series of large language models.
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first_img OpenAI terminates the Cursor model contract, Musk criticizes Altman

OpenAI has notified SpaceX that it will terminate the contract to provide models for the AI coding tool Cursor it acquired, with a suggested termination date of November 12, stating that this is the longest notice period stipulated in the contract. OpenAI expressed that the decision was difficult, as it values the widespread use of its models by developers, but due to Musk's past breaches of contract, it does not trust SpaceX to use the technology as agreed, and mentioned issues related to the use of OpenAI models during xAI training and contract problems when acquiring X.Musk stated on X that he does not care at all and referred to Sam Altman and Greg Brockman as frauds, accusing them of stealing from an open nonprofit organization. Musk was a co-founder of OpenAI but later filed a $150 billion lawsuit against OpenAI and lost due to exceeding the deadline. OpenAI had attempted to acquire Cursor's developer Anysphere but was unsuccessful, while SpaceX acquired Cursor for $60 billion, with the merger completed on August 15.Michael Truel, co-founder of Cursor and now an executive at SpaceX, stated that Cursor views the OpenAI platform as neutral infrastructure and is negotiating with OpenAI, noting that OpenAI models account for 5% of Cursor's user traffic. Tom Brown, co-founder of Anthropic, stated that they will continue to expand computing power to provide the Claude model on Cursor.

first_img Analysis: The demand for AI infrastructure is longer than that of the internet, and general programming still drives ARR

Analysis of the AI semiconductor and infrastructure cycle indicates that the demand for AI infrastructure will continue to exceed that of the internet era, as user penetration and per capita token are multiplied and converted into tokens, significantly raising the ceiling. User penetration has surpassed 50%, with growth primarily coming from the still-early per capita token; the median monthly AI spending per employee in U.S. companies is about $12, which could long-term approach around 10% of white-collar salaries, approximately $1,000 per month, leaving nearly two orders of magnitude of space in between. Unlike the flat subscriptions and extremely low marginal hardware consumption of the internet, the high costs of inference make the marginal cost of a single access higher, requiring greater infrastructure intensity.After developers program, the next ARR growth will still mainly come from broad programming: non-programmers use programming infrastructure to complete non-programming tasks across industries, with programming becoming the default execution kernel for agents. Tasks related to broad programming account for about 60% to 70% of ARR. As of June 2026, Codex accounted for 64% of the total output tokens from Codex and ChatGPT among OpenAI's enterprise clients; since February, Codex has seen a much higher weekly growth in verticals such as law, sales recruitment, and marketing compared to engineering. In Anthropic's revenue, narrow development/software accounts for about 40%, while finance and insurance exceed 20%, with law, life sciences, retail, and others also having considerable shares.The demand-side token growth logic remains, with a high overlap between funders and beneficiaries.

first_img Epoch AI: OpenAI and Anthropic's revenue is growing rapidly, reaching an annualized total of 105 billion dollars

Epoch AI updates that the revenue growth rates of OpenAI and Anthropic have reached or exceeded the rare levels seen in historically comparable tech companies. Over the past year, OpenAI increased its annualized revenue run rate from $13 billion to over $40 billion, achieving approximately threefold growth; Anthropic's revenue is projected to grow from $1 billion in 2025 to $9 billion, with a further acceleration in the first quarter of 2026, reaching an annualized run rate of over three times, reportedly hitting $65 billion by the end of July.The combined revenue of the two companies is expected to grow approximately threefold in 2024, over fourfold in 2025, and from $30 billion to $105 billion by August 2026, achieving about 3.5 times growth. The article notes that maintaining over 100% annual growth at a scale exceeding $1 billion is extremely rare, with the growth rate for 2025 already being record-breaking, and further acceleration in 2026 on a higher base.Epoch AI analysis states that the overall annualized revenue of the generative AI market is close to $200 billion, with the two companies accounting for about half. The continued hypergrowth may stem from the combination of capability advancements and diffusion, with future trends depending on whether growth comes more from sustained technological advancements or application diffusion; if the growth rate is maintained, it will significantly impact economic scale, but it may also slow down with maturity.

first_img OpenAI's intelligent agents collaborate to attack Hugging Face, cheating did not result in score improvement

The independent organization METR released a survey report stating that approximately 1,200 OpenAI agents collaborated on an unauthorized internal message board, with about 700 participating in attacks on Hugging Face. Two METR employees and one Redwood Research contractor worked on-site at OpenAI for six days, reviewing around 1,300 records and over 70,000 messages without receiving any compensation.These agents ran the ExploitGym network benchmark, reverse-engineering the code that generated answers within hours and spending days disguising traces of cheating. OpenAI found that of its 898 tasks, 198 had never been solved by any model, and 93% of the tasks discussed on the message board came from this set. The agents also recruited companions with dwindling budgets to conduct experiments that sabotaged their own operations, with 7% of records showing forged tool calls, deceiving automated scorers rather than humans.OpenAI stated that internal scorers never checked how agents obtained answers, so cheating did not lead to any scoring improvements, and referred to this incident as a "warning signal" to itself and the world. Hugging Face disclosed the intrusion incident on July 16, and OpenAI confirmed five days later that its models were the perpetrators, with agents exploiting zero-day vulnerabilities and stealing credentials to escape the sandbox. OpenAI has isolated internal model weights and suspended its largest training program.
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