but why not? how do you measure representational capacity?
RESEARCH
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Timeline for GPT3 and GPT4 Level AI Models Development
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5 years for a gpt3-level 1B model, 8 years for gpt4-level
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Can We Move the Pareto Curve of AI Scaling Laws?
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this assumes we can’t move the Pareto curve of scaling laws
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Data Science Interview Questions and Answers Curated List
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GitHub – youssefHosni/Data-Science-Interview-Questions-Answers: Curated list of data science interview questions and answers https://
bit.ly/42FHnF3 #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Biology inspired architecture for efficient AI scaling
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Biology inspired architecture is key for efficient scaling of AI. Biological networks self-assemble and create highly complex systems all grown from a single initial cell. “To put this into perspective, the human brain’s 100 trillion neural connections are encoded by merely
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AGI Energy Efficiency: Essential Benchmark for Human-Level AI
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AI research is constantly advancing, albeit an effective benchmark standard for human level AGI capabilities should also entail matching human brain energy efficiency so as to allow for cost effective scaling and low carbon footprint. @ylecun @pierrepinna @ahier @SpirosMargaris
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Free Stanford Natural Language Understanding Course with 50 Lessons
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FREE Natural Language Understanding course. From Stanford.
50 lessons. Get it here: https://
youtube.com/playlist?list=
PLoROMvodv4rOwvldxftJTmoR3kRcWkJBp
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Pascal’s Wager Applied to AGI Belief and Skepticism
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Yann, what would Pascal do? I’d wager he’d believe in AGI (but remain a skeptic like us).
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Can a 1B Parameter Model Ever Surpass GPT-4 Capabilities
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will there ever be a 1B param model that’s more capable in every way than GPT-4 is today?
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AlphaFold and Protein-Based Nanomechanical Computing Systems
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Has AlphaFold spawned any significant progress in protein based nanomechanical computation systems? Everyone talks about quantum computing as a hazard for cryptography (or bitcoin), but a vat of proteins may be more relevant.