Unlimited demand for something doesn't necessarily mean it is viable as a business, much less as an economy-wide all-in bet.
@fchollet
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Token Production Economics: Matching Value to Infrastructure Costs
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There's no doubt that the world can consume tokens as fast as they're produced, even in the most maximalist infrastructure buildup scenarios imaginable. That's not the question. The question is whether the economic value of those tokens can match their total cost of production.
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Iteration speed beats thinking quality for progress
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The quality of your thinking is a multiplier for the amount of progress you make at each iteration. But the dominant factor behind success is simply your iteration speed. Try more things and you win.
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Iterative Testing Reveals Design Flaws Better Than Pure Thinking
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You cannot think your way to a perfect design. Only building and testing, over many iterations, can reveal the flaws in your mental model and provide the feedback you need to create the best design possible.
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JAX Framework Attracts Top AI Talent and Candidates
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JAX is the framework of choice of great candidates.
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PHP versus Go: A 2010s Programming Language Comparison
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There's a bit of a 2010s PHP vs Go flavor in there.
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PyTorch vs JAX: Key Indicator of Deep Learning Candidate Quality
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When looking at deep learning profiles, one of the most obvious tells between a mediocre and great candidate is whether they list PyTorch or JAX.
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Constraints Drive Innovation Through Problem-Solving
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Constraints are the catalyst of invention. An infinite search space leads to paralysis. The most creative inventions happen when you are forced to solve a problem within appropriately narrow constraints.
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Scalable Software Solutions Require Significantly More Code
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The same is of course true of software — to solve a problem in a scalable manner requires a lot more work and a lot more code compared to a simple non-scalable solution.
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Simple ML Methods Don’t Scale Well Contrary Belief
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There's a broadly held misconception in AI that methods that scale well are simple methods — even, that simple methods usually scale. This is completely wrong. Pretty much none of the truly simple methods in ML scale well. SVM, kNN, random forests are some of the simplest