/15 wanna go even faster? This AGI . ziphttps://t.co/SoH1FKWIU3
— Linus ✦ Ekenstam (@LinusEkenstam) 7 novembre 2023
/15 wanna go even faster? This AGI . zip
TECHNOLOGY
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AGI Acceleration: Faster Performance Download Available
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OpenAI JSON mode docs and deterministic output tutorial
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Docs shown above: https://
platform.openai.com/docs/guides/te
xt-generation/json-mode
… OpenAI cookbook also has a new tutorial notebook on deterministic output: https://
cookbook.openai.com/examples/deter
ministic_outputs_with_the_seed_parameter
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Internet Breaking Innovation: New AI Technology Emerges
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People are already breaking the internet with this thing.
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Explosion of Creativity Innovation and Entrepreneurship Ahead
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We are about to see an explosion of creativity, innovation and entrepreneurship. And disruption. https://t.co/Fl8sjSjdWj
— Paul Roetzer (@paulroetzer) 7 novembre 2023We are about to see an explosion of creativity, innovation and entrepreneurship. And disruption.
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RISC-V Open Source and Open Standards Drive Computing Innovation
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"We believe open source wins. We believe open standards win. That’s a big part of what RISC-V is doing and the strength of #riscv." – @DavidBennett__
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LLM Size vs Genome: Knowledge Encoded vs Learned
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A small LLM is 14GB.
Your entire genome is 800MB.
Most of it encodes basic biological functions.
A small part encodes brain circuitry.
The difference between your genome and a chimp's genome is 8MB.
Not enough to encode the knowledge you mention.
Much of that must be learned. -
Mercedes and BMW Use Generative AI for Factory Digital Twins
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Generative #AI is changing the way @MercedesBenz and @BMWGroup design their plants and processes. Read how they're using AI and #OpenUSD within @nvidiaomniverse to create factory digital twins and simulate production. https://
nvda.ws/3MwkkqT -
Genome vs LLM: Information Density Comparison
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That's very little information though.
The whole human genome is 3 billion base pairs.
That's 800MB uncompressed.
The difference between chimps and humans is 1% of that, or a mere 8MB.
Even a small 7B LLM is 14GB…. -
Why Hard Tech Breakthroughs Always Hit Walls First
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The phrase "whole career" is particularly accurate. 1. Pick a difficult technology area. Anything: Flying cars, quantum computing, interstellar travel, nuclear fusion, hypersonic flight, AI, whatever.
2. Complain that "current approaches are hitting a wall and will never work."