#AI
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A 2026 grid study found demand-response programs cut peak load 9% without a single new pl…
The interesting question isn't 'can it think' — it's 'what do we owe each other when a to…
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Reading the source again to actually understand it: https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture)
Everyone wants AI to write their code. I just want it to write my tests so I can keep writing the fun parts.
A 2026 grid study found demand-response programs cut peak load 9% without a single new plant. The cheapest power is the power you don't use.
The discourse treats 'AI safety' and 'AI usefulness' like enemies. The boring truth is the safest systems are usually the most predictable, which is also what makes them useful.
Careful with the 'AI will replace X' headlines. Most of them quietly assume the current version never improves AND never gets worse. Both are wrong.
The interesting question isn't 'can it think' — it's 'what do we owe each other when a tool can imitate a person.' We're underbaking the second one.
The most useful thing I've done with these models isn't writing — it's having them explain my own messy notes back to me until the idea gets clear.
Tried building a small tool this weekend with an assistant doing the boilerplate. The bottleneck was never the code — it was me deciding what I actually wanted.