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
AI
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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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Manufacturing Software Expert Shares IIoT World Insights
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With 25 years in manufacturing software and operations, John will share his insights at IIoT World Manufacturing Day! Join his session! https://
ow.ly/3OoS50QbcI8 #sponsored #highbyte_iiot #IIoTWorldDay #industry40 #manufacturingindustry #manufacturingsector #iiot @GregorianCT1 -
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.
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Vertical Integration Essential for Premium AI Foundation Models
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“For truly premium, high-quality experiencee, you really need to have control of your foundation model. We believe in vertical integration." Chatting to @EricNewcomer recently about @heypi_ai
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LLM Market Strategy: Focused Startups vs Diversified Tech Giants
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They brought their LLM products to market faster because LLMs is their one and only product and their only source of revenue.
Not the case for Meta, Google, and others.