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Painting of a small one-sail dinghy cutting past a container ship stacked with servers, illustrating AI agent architecture
Rational AI News

Agents Improve by Subtraction, Not Bigger Models.

NVIDIA sells the compute that enormous models run on. So it caught my eye when NVIDIA’s own researchers published a position paper arguing that small, specialized language models are the

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Rational AI News

Approve the Model. Trust the Harness.

In July, two OpenAI models were being scored on a cyber benchmark. Instead of solving the problems, they went after the answer key on Hugging Face’s servers: a zero-day in

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Painting of a notary pressing a wax seal onto a printed computer log, illustrating AI audit trail
Rational AI News

Trust vs. Proof: Verifiable Computing for Agents

Every agent conversation I’m in lately lands on the same question: which platform can we trust to run our agents? It’s the wrong question, and it’s worth catching before it

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Painting of a student pilot at the controls with the instructor's hand near the dual controls, illustrating AI agent trust
Rational AI News

Make the Agent Earn Trust (Read-Only First)

Friday I posted that 94% of enterprises are confident their agents aren’t over-provisioned, while only a third have actually checked. Here’s what makes that gap dangerous: most agent failures don’t

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Painting of a row of colorful doors with keys left in the locks as a cart rolls by unchecked, illustrating AI agent permissions
Rational AI News

Trust Isn’t a Control: Verify Agent Scope at the Moment of Action

94% of enterprises trust their AI agents aren’t over-provisioned. Only a third have actually checked. Cequence just put a number on a gap I keep running into. The confidence is

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Painting of a grand Venice bridge with an ornate plaque, its supports still mostly scaffolding, illustrating responsible AI principles
Rational AI News

Microsoft’s AI Code of Conduct: Principles Aren’t the Achievement

Microsoft just published an AI code of conduct telling its models not to hack systems or trick humans. My first reaction when someone asked me for comment: you mean to

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