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Why AI's Tom Cruise problem means it is 'doomed to fail' (2024)
theguardian.com·11h·
Discuss: Hacker News
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Diffusion Language Models Are Super Data Learners
jinjieni.notion.site·13h·
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From GPT-2 to gpt-oss: Analyzing the Architectural Advances
magazine.sebastianraschka.com·16h·
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Neurosymbolic AI: The 3rd Wave
muratbuffalo.blogspot.com·1d·
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Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential
machinelearning.apple.com·2d·
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Why Racket? Why Lisp?
practicaltypography.com·13h·
Discuss: Lobsters, Hacker News
🧩type theory
How Confident Are You, ChatGPT?
aylinakkus.github.io·17h·
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The current state of LLM-driven development
blog.tolki.dev·11h·
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Optimized Autonomous Inference
outerbounds.com·1d·
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Actual LLM agents are coming
pleias.fr·2d·
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TIL about Cryptophasia, a phenomenon where a pair of twins develop a language only they can understand.
en.wikipedia.org·12h·
Discuss: Hacker News, r/todayilearned
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Why I'm excited about the Hierarchical Reasoning Model
medium.com·1d·
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Benchmarks Show Speculative Decoding Needs the Right Draft Model for 3× Gains
bentoml.com·1d·
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Scaling Deep Learning Education in a College of Arts & Sciences
cacm.acm.org·2d·
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Tversky Neural Networks: Psychologically Plausible Deep Learning With
arxiviq.substack.com·1d·
Discuss: Substack
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Apple taught an LLM to predict tokens up to 5x faster in math and coding tasks
9to5mac.com·1d·
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Yet Another LLM Rant
overengineer.dev·15h·
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We need better ways to evaluate how AI memory systems perform
cognee.ai·1d·
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AI Art Resources
jonathandinu.com·2d·
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Cultural Bias in LLMs
shav.dev·2d·
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