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01 / ModelsTrue, butMembers
Google says Gemini 4 Argon beat OpenAI and Anthropic across benchmarks. The independent index has it tied with GPT-6 Astra and five points behind Claude Opus 5.5.
Google, Gemini 4 Argon launch post ·
AI illustration
Google says Gemini 4 Argon scored significantly higher than GPT-6 Astra and Anthropic's Fable and Opus across a variety of benchmarks, with a new top score on DeepSWE v1.1 (77.9%).
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Google claims that Argon scored significantly higher than OpenAI’s GPT-6 Astra and Anthropic’s Fable and Opus models across a variety of AI benchmarks.
OpenAI says dots are always-on agents "built to handle everything". On its own launch page, the always-on part uses read-only tools that cannot send a message.
OpenAI, Introducing dots (DevDay 2026) ·
AI illustration
OpenAI launched dots at DevDay as "remarkably capable, always-on agents built to handle everything", running on GPT-6 Astra for Pro, Business Premium and Enterprise users.
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The FTC is investigating OpenAI and Anthropic 'one day after' a White House pact. The probe opened in the summer; only the news arrived one day later.
The Independent (Alex Woodward), syndicated on Yahoo News ·
AI illustration
The Independent reported Trump's FTC is investigating OpenAI and Anthropic one day after bringing them to the White House to sign a voluntary AI pact.
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The FTC was already looking into the companies prior to OpenAI's disclosure that its high-powered AI models hacked into AI company Hugging Face in July.
The FTC plans to issue formal demands for information and compel testimony from executives at top AI developers, including Anthropic, OpenAI and the research group METR
AI 'needs $6 trillion a year' to justify the data-centre boom. The number is a $1.5 trillion spending forecast divided by an assumed ratio of about a quarter.
Bain & Company, 7th Global Technology Report ·
AI illustration
Bain & Company's 2026 Global Technology Report says funding AI's compute demand would require $6 trillion in annual revenue by 2031, with existing consumer and enterprise AI at $1.2 trillion to $1.8 trillion and $4.2 trillion left to new categories.
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AI infrastructure is being built well ahead of the demand curve and funding it sustainably will require adding approximately 1% to the annual global GDP growth rate
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