@willccbb What still matters are data structures and interfaces.
I spend a great deal of time with AI co-designing the right data formats and APIs.
The implementation is irrelevant. Code generation is the new compiler.
Humanoids literally run a half marathon in China
AFR this morning - “China’s first robot marathon runners trip, emit smoke, fall apart”
Headline of a loser
This has direct parallels to the "critical batch size" when training transformers
At a certain point (sooner than you think), your direction is good enough that taking a step is more effective than deriving any more certainty.
Progress comes from balancing direction (gradients) and execution speed (step frequency).
In practice, for the most effective innovation-focused teams I’ve seen, this balance tends to favor uncomfortably noisy direction and uncomfortably rapid steps.
I have never seen it expressed exactly like that, but I wholeheartedly endorse it:
Feedback beats planning.
My plea at Meta was “No grand plans, follow the gradient of user value”.
The goal of a CoT is not to be accurate, but to help the model arrive at a correct solution. And to the extent that this happens they are successful.
The fact that CoTs are readable is a happy accident of grounding reasoning to natural language, but that may soon go away.
Australia's largest glass manufacturer, Oceania Glass, has collapsed - citing impossible competition from cheap Chinese imports.
This comes during a housing crisis.