The nervous system was the first PCB. Neurons are the components. Axons are the traces. Synapses are the connections. Growing neurons on chips might end up being one path toward more efficient AI.
Every Sam tweet could be about in fusion, AGI, Mars, or some random media event and the replies would still be "bring back 4o." Frontier models have lapped it on most benchmarks and orchestration keeps improving. Reproducibility is a fair complaint. The nostalgia cult is not.
I can see Koenigsegg releasing a vibedesign tool to help their clients brainstorm their bespoke design and gradually refine it. The data accumulated would be invaluable for designing tailored products.
@birdabo Software engineers are so back with accelerated progress comes with slower problems and all of these roadblocks are awesome challenges to work on.
@redtachyon If he re-engineered the device to be like an interface to interact with ai agents from almost every lab ... he could sell tonne of them to tokengooners.
“The world does not just need people who know how to use powerful tools, it needs people who know what to use them for, people with a sense of purpose, judgment, courage.” - Lisa Su, AMD CEO ... Essentially translates to we need 10x system engineers ... 🤷♂️
A fully-explainable system that can decode and demystify every facet of an ai architecture would be obviously transformative, disrupt the whole benchmark meta and put an end to the whole "is AI sentient or not?" topic.
When researchers, builders, and small teams can investigate more hypotheses, traverse more disciplines, and ambitiously explore larger regions of the possibility space within the same amount of time, the odds of discovering something interesting increase dramatically.
How AI Is Changing Mathematics
Fields Medal recipient Terence Tao explains how AI is changing the way mathematicians work, making it easier to experiment, explore new ideas, and collaborate on difficult problems.
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