The simulation we live in was created to develop superintelligence, and will soon be turned off.
RESEARCH
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Nonlinearity in Neural Networks: Power and Pitfalls
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Nonlinearity is so powerful that a small amount does all you need, and more than that blows up in your face. Poster child: neural networks.
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Dynamic Chunking Improves Diffusion Transformer Efficiency
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“Dynamic Chunking Diffusion Transformer” Instead of splitting every image into the same grid of patches, this paper lets the model use bigger chunks for simple areas and finer chunks for detailed areas. It also changes the token budget over the diffusion process, where fewer
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Python Package Releases Show No Clear Productivity Jump
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New @answerdotai research by @R_Dimm & @alexisgallagher looking at whether there's been a clear jump in productivity based on python package releases. tldr: No.
"Relax. You are not missing a party that literally everyone else was invited to." -
SN50 Dataflow Architecture Maps AI Models Directly on Processor
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The SN50’s Dataflow Architecture approach. Instead of repeatedly calling external memory, our Reconfigurable Dataflow Units (RDUs) map the entire AI model graph directly onto the processor. This minimizes data movement to memory, the most expensive and power-hungry part of
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Building Industrial-Scale AI Compute Infrastructure for Economic Growth
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reach out to Sachin (srk@openai.com) if you’d like to help build industrial-scale compute to power economic growth, entrepreneurship, and AI benefits in health, science, and beyond:
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Study on Repeated Doses Shows Positive Health Outcomes in Mice
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If someone says "CLIs are dead" or "MCPs are overhyped," that's a tell they only work in one context. My personal AI setup: mostly CLIs, 4 MCP servers. My work setup: 10+ MCP servers, almost no CLIs. Same person – me!, but completely different mix. I tried walking non-technical
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Store AI Model Checkpoints on Hugging Face for Community
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very cool! you should store all the intermediary checkpoints on Hugging Face for permanence (and community visibility/sharing):
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State of the Art in AI Music Generation and Recent Bangers
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What's the SotA for AI music generation these days? Any AI generated bangers you've listened to lately?
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Small AI models pose greater rogue risk than larger ones
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My intuition is that small models are far more likely to go rogue than big ones