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379 postsEpistemic Engine verifies AI code and predicts what will break
Epistemic Engine is an open-source Python tool that verifies AI-generated code and forecasts future failures using deterministic git-history analysis.
Loom: A Git-Based Coordination Layer for Multiple AI Coding Agents
Loom adds git-based worktree isolation and intent leases so AI coding agents surface conflicts before they burn tokens, not after.
World models remember, actors forget: fixing catastrophic forgetting in RL
Research shows world models retain memory in continual RL while actors forget; graded dream rehearsal recovers skills with zero environment interaction.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comHanwha security cameras shipped a GitHub admin token in firmware
A GitHub admin token with access to hundreds of repos was found hardcoded in Hanwha security camera firmware, exposed via a Vite build leak.
Quantprobe Runs a 110B-Parameter LLM on a 16GB RAM 2016 Desktop
Quantprobe shows how careful memory-tier placement lets a 2016 desktop with 16GB RAM run a 110B-parameter LLM, validated with pre-registered predictions.
AMD Unveils Instinct MI455X: CDNA 5 and Helios Take Aim at Nvidia
AMD's CDNA 5-based Instinct MI455X and 72-GPU Helios rack-scale system offer a serious new challenge to Nvidia's Rubin platform in AI data centers.
How Netflix Runs Its Own LLM Serving Stack with vLLM and Triton
Netflix engineers explain how they built an in-house LLM serving stack using vLLM, Triton, and an OpenAI-compatible API, with real production lessons.
Governed Agent: LLM reads text, code and rules decide outcomes
Governed Agent demonstrates a deterministic architecture where an LLM only extracts text while code and tables decide outcomes, using ITIL as the example.
Beyond Context Engineering: A Discipline for Reliable LLMs
A position paper argues LLM reliability requires channel engineering, not just context engineering, and introduces the Socium collaboration model.
600 AI Architectures: What LLMs Default to When Designing Systems
Six LLM families produced 600 system architectures from identical briefs, exposing default tech choices, low consensus in key layers, and constraint-driven shifts.