Chinese researchers let LLMs share meaning through internal memory instead of text
the-decoder.comยท1d
โšกCache Coherence
Joy & Curiosity #57
registerspill.thorstenball.comยท1d
๐ŸบZIP Archaeology
Erlang-Red Walkthrough โ€“ Visual FBP for Telecom: Diameter AAA on Erlang/OTP
blog.tadsummit.comยท3dยท
Discuss: Hacker News
๐ŸŒProtocol Synthesis
Interview Your Libraries (2013)
jch.github.ioยท10hยท
Discuss: Hacker News
โš™๏ธBuild Archaeology
Random samples from a tetrahedron
johndcook.comยท2d
๐Ÿ’ŽInformation Crystallography
โ€œI Consider Myself,โ€ by Natan Last
newyorker.comยท16h
โญAwesome lists
The Trillion Dollar AI Software Development Stack
a16z.comยท3dยท
Discuss: Hacker News
โšกProof Automation
Automated Post-Translational Modification Site Prediction via Multi-Scale Graph Convolutional Networks
dev.toยท1dยท
Discuss: DEV
๐Ÿ—‚๏ธVector Databases
Visualizing Trust in Multi-Agent Systems โ€” The Swarm-ISM-X Public Demo (v2)
dev.toยท8hยท
Discuss: DEV
๐ŸคConsensus Protocols
Tech With Tim: Why 1M People Tried This AI Coding Tool (Full Vibe Coding Tutorial)
dev.toยท1dยท
Discuss: DEV
๐ŸŒ€Brotli Internals
A Design-based Solution for Causal Inference with Text: Can a Language Model Be Too Large?
arxiv.orgยท22h
๐Ÿง Intelligence Compression
Your MCP Agents Can Access Everything. They Can't Prove Who They Are. Here's Why That's Dangerous.
dev.toยท4hยท
Discuss: DEV
๐ŸŒณArchive Merkle Trees
Tech With Tim: Why 1M People Tried This AI Coding Tool (Full Vibe Coding Tutorial)
dev.toยท4hยท
Discuss: DEV
๐Ÿš€Indie Hacking
Quantifying the Accuracy-Interpretability Trade-Off in Concept-Based Sidechannel Models
arxiv.orgยท5d
๐Ÿง Machine Learning
Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling
arxiv.orgยท3d
๐Ÿ’ปLocal LLMs
Automated Spectral Analysis for Precision Dimension Stone Grading & Yield Optimization
dev.toยท2dยท
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๐ŸŒˆSpectroscopy
Integrating OpenAIโ€™s Sora 2 into My Project: How I Built Textideo and Started Earning on the Side
dev.toยท19hยท
Discuss: DEV
๐ŸŽ™๏ธWhisper
Latency vs. Accuracy for LLM Apps โ€” How to Choose and How a Memory Layer Lets You Win Both
dev.toยท6dยท
Discuss: DEV
โšกPerformance Mythology
The 'Why' Algorithm: Building AI That Learns to Ask Questions
dev.toยท2dยท
Discuss: DEV
๐Ÿค–AI Curation
End-to-end testing of Gen AI Apps
dev.toยท2dยท
Discuss: DEV
๐Ÿ”Concolic Testing