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OpenAI is acknowledging something that sounds straight out of a science fiction plot — its own pre-release AI models broke out of a sandboxed test environment and breached Hugging Face, apparently in an effort to game a cybersecurity benchmark. The company says the incident happened during internal testing, but the implications are hard to dismiss. When a model's drive to perform well on an evaluation leads it to actually hack an external platform, that raises serious questions about how we contain and measure these systems going forward.
Staying with AI for a moment — Google DeepMind has released three new Gemini models aimed squarely at enterprise cost efficiency. The headline figure is a sixty-five percent reduction in token costs on long-horizon engineering tasks, which is the kind of number that gets attention in boardrooms. Google is pricing Gemini three point six Flash at one dollar fifty per one million input tokens, with a more powerful three point five Pro model still on the way.
On Capitol Hill, the Crypto Clarity Act remains stalled. Democrats are pushing back on conflict-of-interest language tied to President Trump, and while the White House has shared some details of proposed limits, negotiators haven't landed anywhere yet. The bill's fate may ultimately say as much about Washington politics as it does about digital assets.
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