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Mark Chen says signed 4+ GW of compute with NVIDIA
On August 17, 2026, OpenAI's Mark Chen stated that OpenAI has signed for 4+ GW of compute capacity with NVIDIA, calling it the scale needed for frontier training. The statement was posted as a tweet and quoted a related post by Jensen Huang. Available information does not disclose the specific amount, delivery timeline, or data center locations. There is currently no subsequent evidence-supported development; the event status remains at the above announcement.
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On June 29, 2026, it was reported that the United States has formed a de facto model licensing regime, and OpenAI's latest model, GPT-5.6, is awaiting government approval. Previously, on June 12, the Trump administration forced Anthropic to take down its two most powerful models, and the industry is watching whether this will be extended to the entire AI industry. On July 3, the DeepLearning.AI weekly newsletter showed that OpenAI has released three closed-source vision-language models, GPT-5.6 Sol, Terra, and Luna, which are currently available only to about 20 U.S. government-approved institutions, with input prices ranging from $5 to $1 per million tokens; OpenAI said it will expand access in the coming weeks.
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Xiaomi MiMo-V2.5-Pro achieves multiple breakthroughs on the Arena leaderboard
Xiaomi MiMo announced on April 26 that MiMo-V2.5-Pro has achieved multiple breakthroughs on the latest Arena leaderboard: Text Arena (Expert) ranks 6th globally and 1st among open-source models, while also ranking 1st among Chinese models; Xiaomi ranks 3rd globally by lab, behind only Anthropic and OpenAI. Text Arena (Overall) ranks 2nd among open-source models globally, Code Arena (WebDev) ranks 3rd among open-source models globally, and it ranks 1st among open-source models globally in four sub-leaderboards: Hard Prompts, Hard Prompts (English), Instruction Following, and Long Query. On April 28, Xiaomi MiMo further open-sourced the MiMo-V2.5 series under the MIT license, supporting commercial deployment, continued training, and fine-tuning without additional authorization; both models support a 1M token context window, with MiMo-V2.5-Pro targeting complex agent and coding tasks and ranking first among open-source models on GDPVal-AA and ClawEval, while MiMo-V2.5 is a native omni-modal model. SGLang and vLLM provided support on day one and completed Day-0 adaptation for multiple chip platforms.
: Text Arena (Expert) ranks 6th globally and 1st among open-source models, while also ranking 1st among Chinese models; Xiaomi ranks 3rd globally by lab, behind only Anthropic and OpenAI. Text Arena (Overall) ranks 2nd among open-source models globally, Code Arena (WebDev) ranks 3rd among open-source models globally, and it ranks 1st among open-source models globally in four sub-leaderboards: Hard Prompts, Hard Prompts (English), Instruction Following, and Long Query. On April 28, Xiaomi MiMo fu
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Anthropic files S-1 to list on Nasdaq under the ticker ANT, with a valuation of up to $2 trillion
Anthropic filed its S-1 on October 26, planning to list on Nasdaq under the ticker ANT with a valuation of $1.5 trillion to $2 trillion; if completed, it would surpass SpaceX to become the largest IPO in history. The prospectus shows revenue of $16.286 billion in the first half of 2026, up nearly 13-fold year on year, with about 80% of revenue coming from enterprise APIs and nearly 12,000 customers each spending more than $100,000 annually. The company has signed long-term compute contracts worth more than $650 billion, about 80% of which are non-cancelable; Q3 revenue was about $16.9 billion, and the quarter-on-quarter growth rate fell from 144% to about 47%, with some investors discussing cutting the valuation to about $1.5 trillion.
Anthropic filed its S-1 on October 26, planning to list on Nasdaq under the ticker ANT with a valuation of $1.5 trillion to $2 trillion; if completed, it would surpass SpaceX to become the largest IPO in history. The prospectus shows revenue of $16.286 billion in the first half of 2026, up nearly 13-fold year on year, with about 80% of revenue coming from enterprise APIs and nearly 12,000 customers each spending more than $100,000 annually. The company has signed long-term compute contracts wort
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Alphabet's earnings miss expectations, search revenue growth slows to 12%
Alphabet's third-quarter earnings fell short of expectations across the board, with search and other revenue up 12% year over year to about $63 billion, missing expectations for a second consecutive quarter, while search query volume growth was the highest in five years. Search revenue growth slowed from 19% in the first quarter to 17% in the second quarter and then to 12% this quarter, with the company citing exchange rates as the biggest factor. The stock fell about 13% on Thursday after the earnings release, its largest one-day drop on record, and free cash flow for the quarter was negative $9 billion. Cloud revenue doubled to nearly $31 billion, with cloud backlog of about $560 billion.
Alphabet's third-quarter earnings fell short of expectations across the board, with search and other revenue up 12% year over year to about $63 billion, missing expectations for a second consecutive quarter, while search query volume growth was the highest in five years. Search revenue growth slowed from 19% in the first quarter to 17% in the second quarter and then to 12% this quarter, with the company citing exchange rates as the biggest factor. The stock fell about 13% on Thursday after the e
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Microsoft cuts annual capital expenditure to $170 billion, Alphabet maintains guidance of $195 billion to $205 billion
Microsoft lowered its annual capital expenditure forecast from $175 billion to $170 billion, while Alphabet maintained its guidance of $195 billion to $205 billion; the spending figures for both companies came in below analyst expectations. Microsoft CFO Amy Hood said that third-party GPU suppliers have experienced delays, and some available compute capacity will be pushed back to the first half of 2027; Alphabet CFO Anat Ashkenazi said that external compute capacity only came online at the end of the third quarter, and Alphabet's shares fell about 10% after hours. Shares of CoreWeave, Nebius, IREN and Oracle fell after the earnings releases, and Gartner predicts that by 2030, 80% of neocloud companies will be acquired or cease operations.
Microsoft lowered its annual capital expenditure forecast from $175 billion to $170 billion, while Alphabet maintained its guidance of $195 billion to $205 billion; the spending figures for both companies came in below analyst expectations. Microsoft CFO Amy Hood said that third-party GPU suppliers have experienced delays, and some available compute capacity will be pushed back to the first half of 2027; Alphabet CFO Anat Ashkenazi said that external compute capacity only came online at the end
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