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.
Tag: ai
Which side would you pick?
Argues countries should align with open AI ecosystems rather than US proprietary stacks, framing the US demand to pick sides as hegemonic coercion and open source as protection against vendor lock-in.
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.
Cloud AI Is the Worst
Argues that per-use metering destroys AI’s value by making users ration their own curiosity and experimentation, and calls for fixed-cost hardware and cheap, owned compute instead of cloud pay-per-use.
Your AI is shit and useless for a major part of the population.
Claims expensive AI pricing confines frontier models to businesses and the wealthy, since employers capture productivity gains while personal life gets the weaker cheap models, and argues open-weight inference is the fair alternative.
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.
If your site is hostile to bots, your site is hostile to humans too.
Argues that sites blocking bots now block the humans behind AI agents too, and urges making content API-first and agent-friendly instead of deploying CAPTCHAs and bot walls.
No, your llms are not conscious
Argues large language models cannot be conscious because they are only lists of parameters, while any sense of experience belongs to the human who runs the calculation.
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.