> Here are the principles that guide our work.

> 1. Democratization. We will resist the potential of this technology to consolidate power in the hands of the few.

For example they could publish their models and research... instead of doing the opposite of what they claim being their very first principle.

I prefer distributed power, not a democratic system as it's often abused.

If large models become a +100x productivity multiplier they can charge crazy money for access. So rich/money people will dominate the world in no time. Today many corporations are happy to pay $5k/mo/user. Everyday people and small companies can't afford that. I can't. We need to build an open ecosystem that at least shrinks the gap.

Learn to run your own models. Get yourselves at least a cheap GPU or even share one with friends. Join groups. There's a lot to do from data to fine-tuning.

The other day Anthropic cut off 100 users of a company without warning and stonewalled them: https://old.reddit.com/r/ClaudeAI/comments/1sspwz2/psa_anthr...

Or they could resist harvesting everyone's work for free to turn into their own revenue

This is one of many factors that precipitated the Soviet collapse.

Turn on the news and you know the language being spewed has no relation to reality. A society full of liars where people say the exact opposite of the truth. Now that LLMs can produce infinitely many words for free, trust in language is falling to all-time lows.

Eventually people just stop believing in words, the fundamental unit of human communication.

I can't recommend Adam Curtis' Hypernormalisation more than ever.

> What emerged instead was a fake version of the society. The Soviet Union became a society where everyone knew that what their leaders said was not real.

> Everybody had to play along and pretend that it was real, because no one could imagine any alternative. One Soviet writer called it "hypernormalisation."

they are trying to co-opt and dilute the term "democratization".