Margins tell everything
Margins are the clearest confession of what a company wants, and Nvidia could cut them and still profit – so nothing but the choice itself stops the market from flooding with builders.
Open labs need a contributor endpoint
Meta now sells a “contributor” endpoint – roughly 5% of the normal API price in exchange for storing, sharing, and training on your prompts. That’s the great move, and every open-weight lab should copy it: a honest direct endpoint specifically to get datasets in exchange for discount.
The sane AI slow proposal
The author proposes capping any company at 10 percent of server-grade GPUs, with progressive taxes on excess, to prevent AI monopolies, preserve competition, and force algorithmic progress rather than compute brute force.
ASML: suffocating the world
Argues ASML’s monopoly on EUV chipmaking machines and export controls choke global progress, and calls for essential semiconductor technology to be opened so all countries can build their own.
You should protest against the datacenters
Argues protesters should oppose data centers not for taxes, water, or noise, but because closed models fence off public resources and concentrate control over essential compute infrastructure.
AI is the foundational technology, we must keep it free at all costs
Claims AI is as fundamental as electricity and the internet, so it must stay free from government regulation and monopolistic companies whose censorship would corrupt a tool that extends human thought and independence.
You’re evaluating frontier models wrong
Argues that businesses should prefer open models over closed APIs, weighing refusals, outages, terms-of-service changes, and data harvesting against benchmarks, and calls for self-hosting, fine-tuning, and control of runtime parameters.
Two most dangerous companies on earth
Argues that OpenAI and Anthropic are the most dangerous companies because their AI monopoly, ideological agenda, and alliance with government threaten to entrench a single closed vision of the technology over everyone.