Kev and the Quiet Case for Decision Models You Can Actually Run
Remember the rhythm of the last few years? A lab ships something that behaves strangely well, nobody outside can run […]
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Remember the rhythm of the last few years? A lab ships something that behaves strangely well, nobody outside can run […]
A patent portfolio has never closed a round. I want to state that plainly, because the prevailing advice in physical
Capital is voting on agent architecture. Look at this week’s funding numbers as a set rather than a list, and
Predicting the moment you’ll tolerate an ad is a trivial modeling problem; the hard part, and the part that actually
What would it actually take to know that the chance of AI ending the world by 2030 is exactly zero?
900,000 DRAM wafers per month. That is the figure Samsung and SK Hynix have attached to OpenAI’s anticipated demand, and
Remember when the scariest thing about a model repository was an unsafe pickle file? For years, the security conversation around
The mainstream story about reinforcement learning in chip design is a story about scale. Bigger policy networks, more simulation, more
In distributed systems there is a failure mode engineers learn to fear more than crashes: the confident node. A crashed
Picture a test lab in May. A model is running inside a sandbox, given a cybersecurity task and a scope.