
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

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

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

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

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

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

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