Head of AI at https://nitter.cf/t.co/CuMA7vSuqV AI for conflict resolution @HumanAssisted
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Joined March 2008
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One year from now AI companies will evolve
OpenAI is Microsoft
Claude is Apple
Meta is Google
SpaceXAI is AWS/ASML
Apple is the best fashion brand
Nvidia is TSMC
Google is the US gov
"Flies are all you need". Tell me about it.
artificialscientific.com/pap…
I first wrote logical at an emergency hackathon on March 5, 2023. Logical to can compress documents into typed claims with checkable proofs using Prolog.
Now, Astra translates the text; a logic engine preserves citations, tracks identity, and flags stale evidence.
github.com/Hendler/logica
@grok how would you change the core algorithm to help accounts get followers and more high quality engagement?
Perhaps create small communities with smaller networks of voices?
If I was 8 years old, watching grownups lose it everyday, I might start to not trust adults.
What an amazing time for grownups.
this is insane
- steve says he can make the sketch 100x better
- tibo says do it by tomorrow
- steve runs a walkthough of a chatgpt app they built with the product in it and 100x better
(the products they built i in their replies - its this tldraw-chat-app-example.tldr…)
Jonathan Hendler 🪰 retweeted
What is an alignment startup?
Harnesses, judges, measurements, safeguards. In short, trusted determinism.
Selling data to foundation model companies is lucrative.
We need more alignment startups.
This may be the correct approach.
However, what do we pace? Data centers? Chip speed? Algorithm improvement? What measures the measurement?
It is an uncomfortable moment and an opportunity to steer. I don't trust that governments can do it.
Replying to @janleike
We still have time to change to rules of the scaling race, but maybe not a lot.
AI will keep improving rapidly and the stakes will increase. Unless we have pacing mechanisms that apply to everyone, companies are incentivized to accelerate, or else risk failing commercially.
The dialog @BernieSanders creates is useful because it is honest.
There is fear about data centers, AI safety, wealth disparity, etc. But complex challenges need thoughtful, scientific, educated, and accurate definitions. Otherwise they lead to regulatory solutions being proposed which are not useful, and potentially dangerous.
Fable or Astra *could* solve this, but the content filter.... only Mythos or Internal models allowed....