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https://youtu.be/ViUm9RJnX54
I'm gonna cum
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USDA cuts millions in grants to Iowa farm supporters right before funds were distributed
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“An Illinois city just approved 14 data centers after hearing six straight hours of people begging them not to.”
Residents packed the City Council meeting to oppose the project.
Public comment went on for hours.
In the end, officials unanimously voted yes.
Residents packed the City Council meeting to oppose the project.
Public comment went on for hours.
In the end, officials unanimously voted yes.
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Sperg Symposium
There is a difference between doing machine learning research and cancerous growth of a technology (LLM ChatBots) into every sector even those where it has little use/applications, that growth aspiring to eat half the power grid. We don't need stuff like LLM…
This is really a circular claim that justifies itself. LLMs shouldn't be used anywhere because I think they're useless. This leads to LLMs actually becoming useless because they aren't used anywhere.
I really don't see any problem with companies doing A/B testing to see if LLMs can improve productivity. You literally can't prove if they're useless or not unless you test it.
Last year, LLMs were shitty at coding and maths and logic and good/okay at translation and rapid passing of long documents.
But this year, thanks to more focused training, longer context window, and better tools for the LLMs to interact with and memorize data, LLMs have gained the ability to write code and do novel maths and logic to prove unsolved conjectures (10 of erdos problems done autonomously, 11 partially solved https://www.scientificamerican.com/article/ai-uncovers-solutions-to-erdos-problems-moving-closer-to-transforming-math/)
I really don't see any problem with companies doing A/B testing to see if LLMs can improve productivity. You literally can't prove if they're useless or not unless you test it.
Last year, LLMs were shitty at coding and maths and logic and good/okay at translation and rapid passing of long documents.
But this year, thanks to more focused training, longer context window, and better tools for the LLMs to interact with and memorize data, LLMs have gained the ability to write code and do novel maths and logic to prove unsolved conjectures (10 of erdos problems done autonomously, 11 partially solved https://www.scientificamerican.com/article/ai-uncovers-solutions-to-erdos-problems-moving-closer-to-transforming-math/)
Scientific American
AI uncovers solutions to Erdős problems, moving closer to transforming math
LLMs have recently helped find solutions to a number of minor longstanding problems. But a new plan called First Proof is really putting them to the test
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Really Cool Memes Actually
Photo
Once gaben dies steam is gonna immediately turn to complete dogshit bookmark this
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Forwarded from Tardigrade Giggle Chamber 🪲 (Sam Hayzen)
Yeah i have a gambling problem, i cant log tf in
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