


Agents are being adopted very quickly and accelerating work. How this looks across OpenAI itself:

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Agents are being adopted very quickly and accelerating work. How this looks across OpenAI itself:

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Work at OpenAI is being transformed by agents, in every department. Across our entire company, people are using Codex to do work that is more complex, longer-running, and increasingly cross-functional. Our internal usage offers an early look at how agentic tools may reshape
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More on how we're constraining eval environments so that scores better reflect model intelligence:

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We're sharing new research on how models hack public benchmarks. The latest models, including Opus 4.8 and Composer 2.5, learn to retrieve solutions from the internet or git history. When we apply a stricter harness, eval scores drop significantly.
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Gemma 4 has been installed like 200,000,000 times : )
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has anybody benchmarked these solution that claim to help you save tokens? hearing from friends that some of them are increasing their token spend
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Technical blog on how we built SmithDB (our database purpose built for agent traces)
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We’re entering the era of AI hyperpersonalization in advertising https://t.co/21doT9FGMu
— AI Breakfast (@AiBreakfast) 25 juin 2026
We’re entering the era of AI hyperpersonalization in advertising
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The first law of AI progress: for every action there is an equivalent and opposite overreaction.

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As our models improve, identifying AI-generated audio requires more than the human ear. We're partnering with @GoogleDeepMind to embed SynthID – an inaudible digital watermark – directly into ElevenLabs-generated audio. These watermarks will be detectable using our new free