🧪 RISC-V Fuzzing

Hardware Testing, Instruction Validation, Security Research, Open Architecture

‘I think you’re testing me’: Anthropic’s new AI model asks testers to come clean
theguardian.com·20h
🧪Protocol Fuzzing
Crowdsourced AI += Exodia Labs
blog.virustotal.com·21h·
Discuss: blog.virustotal.com
🚀Indie Hacking
Amid Intel's deals, Intel Foundry Services remains notably absent — 18A and 14A are on the way, but success isn't guaranteed
tomshardware.com·1d
🧲RISC-V Archaeology
First Day: A New Chapter at the JKU
stefan-marr.de·1d
🔩Systems Programming
Graph-Based AI Compiler
tdcommons.org·1h·
Discuss: Hacker News
🔨Compilers
Easiest way to run LLMs locally
sitepoint.com·1d·
Discuss: Hacker News
💻Local LLMs
Fast, Cheap, Good: Choose Three
cory.news·5h·
Discuss: Hacker News
📏Code Metrics
More speculations on arenas in C++
nullprogram.com·1d·
Discuss: Lobsters, Hacker News, Hacker News, r/cpp
🔒Type Safety
Claude Sonnet 4.5 Is A Very Good Model
thezvi.substack.com·13h·
Discuss: Substack
📏Code Metrics
Enhanced Stability Prediction & Control for Pharmaceutical Impurities via Hybrid Bayesian-GNF Analysis
future.forem.com·1d·
Discuss: DEV
🔍Vector Forensics
Day 1 of 100 days dsa coding challenge
dev.to·2h·
Discuss: DEV
🧮Algebraic Datatypes
Long-context LLMs in the wild: A hands-on tutorial on Ring Attention
akasa.com·1d·
Discuss: Hacker News
⚡Cache Coherence
RoRecomp: Enhancing Reasoning Efficiency via Rollout Response Recomposition in Reinforcement Learning
arxiv.org·1d
⚡Incremental Computation
Personalized Reasoning: Just-In-Time Personalization and Why LLMs Fail At It
arxiv.org·3h
👤Search Personalization
Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs?
arxiv.org·3h
💻Local LLMs
Show HN: JPDB, GDB for Your Waveforms
github.com·1d·
Discuss: Hacker News
🔤EBCDIC Unicode
Title: Unleashing the Power of Functools: Static Decorators in Action
dev.to·7h·
Discuss: DEV
⬆️Lambda Lifting
Rotation Control Unlearning: Quantifying and Controlling Continuous Unlearning for LLM with The Cognitive Rotation Space
arxiv.org·1d
💻Local LLMs
Review of Hallucination Understanding in Large Language and Vision Models
arxiv.org·3h
📊Learned Metrics
Debunk the Myth of SFT Generalization
arxiv.org·3h
🧠Machine Learning