Beyond Brute Force: 4 Secrets to Smaller, Smarter, and Dramatically Cheaper AI
hackernoon.com·1d
📏Linear Memory
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New AI models Cursor and Cognition (Windsurf) built on Chinese base models
linkedin.com·30m·
Discuss: r/China
Cache-Aware Algorithms
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ZkML Breakthrough: 13B Models Verified in 15 Minutes
lightcapai.medium.com·10h·
Discuss: Hacker News
🔄Nanopass
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MobileNetV3 Paper Walkthrough: The Tiny Giant Getting Even Smarter
towardsdatascience.com·13h
🗺️Region Inference
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Why Your AI Agent Keeps Failing in Production (And How to Fix It)
pub.towardsai.net·4h
🎭Erlang OTP
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my first AI Agent Researcher with Python + Langchain + Ollama :)
reddit.com·13h·
🔄Subinterpreters
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Do Not Step Into the Same River Twice: Learning to Reason from Trial and Error
arxiv.org·2d
🎭Erlang OTP
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Show HN: Everything it took to run an LLM at 10k tok/s on H200s
relace.ai·4d·
Discuss: Hacker News
Gleam
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From Data to Rewards: a Bilevel Optimization Perspective on Maximum LikelihoodEstimation
dev.to·1d·
Discuss: DEV
🌱Minimal ML
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Writing an LLM from scratch, part 25 – instruction fine-tuning
gilesthomas.com·4d·
Discuss: Hacker News
🚀Tokenizer Performance
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My ML Learning Journey: From Confusion to Building a Working Model
kaggle.com·2d·
Discuss: DEV
🌱Minimal ML
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What Is Lua Used for in Programming in 2025?
dev.to·4h·
Discuss: DEV
🌙Lua
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FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model
paperium.net·1h·
Discuss: DEV
📈Earley Parsing
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Joy & Curiosity #60
registerspill.thorstenball.com·18h
🌊Gradual Effects
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Do LLMs Signal When They're Right? Evidence from Neuron Agreement
arxiv.org·2d
🔍ML Language
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HUME: Measuring the Human-Model Performance Gap in Text Embedding Task
dev.to·1d·
Discuss: DEV
Tokenizer Benchmarks
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**Breaking the Curse of Dimensionality: A Game-Changer for L
dev.to·2d·
Discuss: DEV
🔄Subinterpreters
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AI Inference: The Silent Budget Killer (and How to Stop It)
dev.to·1d·
Discuss: DEV
🗺️Region Inference
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Breakdown of JavaScript cores concept in connection to html with examples
dev.to·8h·
Discuss: DEV
🎪Playground Compilation
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