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Anthropic says it met its AI research threshold. Its prospectus says the call rests on expected progress, not observed data.
Anthropic, in its IPO prospectus ·
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In its IPO prospectus, Anthropic said it determined it has met the AI research and development threshold in its Responsible Scaling Policy. Yahoo Finance reports trading could start as soon as Nov. 19.
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we made a determination that we have met this threshold based on what we expect from future models and our overall rate of progress, rather than on what we have observed from current models
We are also evaluating the implications of meeting the AI research and development capability threshold and will release further reports in the future.
we have in the past not identified, and may in the future not identify, a significant acceleration in our rate of development until after it has occurred
We believe the public risk report’s argument that the 2x Acceleration Threshold had not been crossed to be overstated, and believe it is plausible this threshold was crossed by July 15th.
United bans AI booking agents, citing security. Its chief executive named the middleman.
United Airlines, in a statement reported by CBS News ·
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United said it will prohibit unauthorized third-party personal AI agents from booking, writing it into its contract of carriage, per CBS News and MLQ.
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sharing account credentials with personal, third-party, AI assistants can expose sensitive information, and actions taken by these tools may result in unintended purchases, account changes, or use of MileagePlus miles.
United is saying they don't want to add yet another, and potentially even more powerful, intermediary than they already face in terms of Google search, price-comparison metasearch sites and online travel agencies
Ten neurons can backdoor an agent. The paper's own scan, with no original model, flagged 91.4% of edited checkpoints.
AI Weekly summary of Microsoft Research's Lazarus work, echoed by The Next Web ·
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Microsoft researchers posted the Lazarus paper on arXiv: editing fewer than ten neurons, without model training, turns a capable model into a sleeper agent.
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Fewer than 10 neurons can backdoor an AI agent, standard behavioral benchmarks cannot detect the edit, and only weight-diffing against an unmodified original checkpoint provides reliable detection.
These are quoted receipts, not a count of independent investigations. Several reports may rely on the same original source.
Their agent-built detection methods flagged 91.4% of held-out modified checkpoints, with a 9.7% false-positive rate, despite not having access to an original reference model.
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