6 min read
Colibri: Run GLM 5.2 on a 32GB Laptop With Disk Streaming
A solo developer built a 1,300-line C inference engine that runs the 744B GLM 5.2 model on consumer hardware by streaming routed experts from disk.
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LLMS
37 articles - page 2 of 3
8 min read
AI Tutor Shows 0.71-1.30 SD Effect Size in Dartmouth Statistics Course
A Dartmouth study of an AI tutor in intro statistics links full engagement to a 0.71-1.30 SD exam gain. What it measured, and why selection bias still matters.
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8 min read
Anthropic Discovers J-Space: A Global Workspace Inside Language Models
Anthropic's new research reveals LLMs have an internal 'workspace' for silent reasoning - and it could change how we build safer AI.
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6 min read
Why Price Per 1M Tokens Is a Misleading Metric for LLM Costs
Comparing LLMs by token pricing alone can lead you to choose worse, more expensive models. Cost per task tells the real story.
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7 min read
Vulnerability Reports Are Not Special Anymore
Filippo Valsorda argues LLMs have made vulnerability reports less special. His case against old coordinated disclosure norms, plus the HN pushback.
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7 min read
GLM-5.2 Local Deployment: Running Z.ai's 744B Model on Consumer Hardware
Run GLM-5.2 locally with Unsloth dynamic quantization: hardware math for a 256GB Mac or 24GB GPU, quantization tradeoffs and lessons from the HN thread.
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6 min read
VibeThinker-3B: A 3 Billion Parameter Model That Outscores Opus 4.5 on Reasoning
VibeThinker-3B is a 3B parameter reasoning model reporting 94.3% on AIME 2026. What the paper claims, how to run it locally, and what it trades away.
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6 min read
Apertus: Europe's Answer to AI Sovereignty - and Why HN Is Skeptical
Switzerland's fully open foundation model promises transparent training data and EU compliance. The HN crowd has questions about actual performance.
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7 min read
Prompt Injection is Role Confusion - New ICML Research Explains Why LLMs Can't Tell Friend from Foe
Prompt injection is role confusion, per an ICML 2026 paper: LLMs judge who is speaking by style, not role tags, so text that sounds like the system wins.
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6 min read
GPT-5.5 Has a 3x Higher Hallucination Rate Than MIT-Licensed GLM-5.2
GPT-5.5 hallucinates 86% of the time on AA-Omniscience when it does not know, versus 28% for MIT-licensed GLM-5.2. What the metric measures and why it matters.
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6 min read
LLM Architectures Got Complicated Fast
LLM architectures got complicated: MoE routing, mixed attention variants and integrated vision encoders replaced the simple transformer. What changed and why.
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8 min read
The Claude Tokenizer Change: What ~30% More Tokens Means for Your Bill
Anthropic's docs say the tokenizer introduced with Opus 4.7 can use up to 35% more tokens for the same text. Here is what that does to per-request cost, max_tokens, and cross-model comparisons.
Showing 13-24 of 36 articles
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