๐๐ณ ๐๐ผ๐โ๐ฟ๐ฒ ๐๐๐ถ๐น๐น ๐ณ๐ฒ๐ฒ๐ฑ๐ถ๐ป๐ด ๐ฟ๐ฎ๐ ๐๐ฆ๐ข๐ก ๐ถ๐ป๐๐ผ ๐๐๐ ๐, ๐๐ผ๐ ๐บ๐ถ๐ด๐ต๐ ๐ฏ๐ฒ ๐๐ฎ๐๐๐ถ๐ป๐ด ๐๐ผ๐ธ๐ฒ๐ป๐, ๐น๐ฎ๐๐ฒ๐ป๐ฐ๐, ๐ฎ๐ป๐ฑ ๐บ๐ผ๐ป๐ฒ๐. This is something I see surprisingly often in AI systems. JSON works well for software systems. But for LLMs, it
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Excel Game with AI-Powered Formula Engine
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building a working game in excel, with a built-in game AI powered by complex formulas:
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CodexBar 0.18 Release: New Providers and Performance Improvements
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CodexBar 0.18 is out:
– New providers: Kilo, Ollama, OpenRouter
– Codex historical pace + risk forecasting + backfill
– merged-menu Overview tab
– fewer Claude keychain prompt annoyances – lower CPU/energy use, faster JSONL scanning
thx @RatulSarna -
StitchCUDA: AI Framework Automatically Optimizes GPU ML Programs
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What if AI could automatically write and optimize entire GPU programs for your ML workloads? Researchers from the University of Minnesota-Twin Cities introduce StitchCUDA. This multi-agent framework features a Planner, Coder, and Verifier. The Coder uses innovative rubric-based
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SGD as ResNet: Rethinking Attention Architecture Fundamentals
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SGD is a ResNet too (the blocks of it are fwd+bwd), the residual stream is the weights so… We're not taking the Attention is All You Need part literally enough? ๐
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Model-Based Clustering and Classification for Data Science in R
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Model-Based Clustering and Classification for Data Science, with Applications in R: http://
amzn.to/4aV1VhH
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#Rstats #DataScientist #MachineLearning #ML #AI #Statistics #Mathematics -
C Compiler to LLM Weights and Logarithmic Attention Innovation
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Wait this is so awesome!! Both 1) the C compiler to LLM weights and 2) the logarithmic complexity hard-max attention and its potential generalizations. Inspiring!
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Enthusiastic praise for an addictive AI product
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Yesss I installed it on on http://
pieter.com!! -
Speed Over Precision: Accelerating Development Velocity
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Not exclusive but less focus on getting the specs precisely correct which increases velocity