renticulous

> The old model works at tens of millions, not hundreds of billions.

The first computers were the size of buildings, now look where we are. I think same thing will happen to AI models. We will have a reasoning core installed on our phone connected to Google's Knowledge Graph or Ontology project via API. These companies just need to survive long enough to make themselves irreplaceable in the new ecosystem.

Naive Question: Are we running out of diskspace to store pdfs that detailed categories aren't wanted? Or is this a way to make it difficult for outsider to spot trends?

Harness Session data will be used for RL and that will inject taste into the models, perhaps??

Actual Intelligence eg "mitochondria is a Powerhouse of cell". Cached thoughts and facts.

> Wealth tax is tax from sitting on your ass doing nothing.

Related point is monetary system and monetary plumbing should be boring like electricity or water supply but because of distortions making money out of money has become the hottest thing.

The real problem is our politicians aren't representing our people. All these other issues of wasteful spending and money printing and inflation and whatnot are downstream of that main crux of problem. People don't hate wealthy perse but when laypeople aren't provided proper means of living, they will try anything as a solution, even throwing a wrench in the system. That's how we got Trump.

It feels like AI topic on HN is going through the phase of when /r/stablediffusion subreddit was going through phase of real artist vs ai artist discussions.

There are other axes as well.

Companies with AI will move faster than those without.

AI itself could subsume what we collectively consider as Engineering Taste.

AI is faster at what it does. So even if a junior costs less on his own than AI. Paying extra for AI means gaining first mover advantage.

Universe is the Godel sentence in the limit of all possible mathematics. Hence it exists and is True.

Fix axioms, we get a Godel sentence G1. Add G1 to axioms, we get G2. So on and so forth. In the limit of this process, we have our Universe.

I don't like youtube gemini summaries. whenever I have asked gemini about detailed comprehensive report on a long hour podcasts, it always refuses. hence claude is my go report generation AI.

I copy paste the transcript because sometimes youtube has blocked AIs from scrapping

How can something so obvious be overlooked by team building the data centre? Can't the sharding be uneven so that weaker GPUs still finish fast by taking on a smaller workload?