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867 postsWhy iPhone Videos Silently Fail as Telegram Video Avatars
iPhone-recorded HEVC clips silently fail as Telegram video avatars with no error. Here's why, plus an FFmpeg pipeline and aiogram bot that fixes it.
How ShareMyPage Safely Runs User-Uploaded JavaScript
ShareMyPage isolates uploaded HTML and JavaScript in a null-origin sandbox on a cookieless domain, blocking XSS and session hijacking without sanitizing code.
State-harness detects LLM agent instability using control theory
Open-source state-harness library uses a Lyapunov energy function to catch token spirals in multi-turn LLM agents and explain failures without extra LLM calls.
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.comMeta's Astryx: An Agent-Ready Open Source Design System
Meta's open source Astryx design system offers 150+ components, React and StyleX theming, and a CLI built for both developers and AI agents.
LLM Quantization Guide: Comparing GPTQ, AWQ and GGUF
A practical breakdown of LLM quantization techniques - GPTQ, AWQ, GGUF and bitsandbytes - explaining how 4-bit compression cuts VRAM needs while preserving model quality.
CAI Dataset: The Largest Corpus of LLM-Driven Hacker Trajectories
CAI Dataset compiles 230,935 sessions and 26 million prompts from 14 months of cybersecurity LLM operator trajectories, exposing major confidentiality risks.
StoryScope Reveals the Narrative Fingerprints of AI Fiction
StoryScope focuses on narrative structure, not style, detecting AI fiction with 93% accuracy and revealing model-specific fingerprints.
Mirrorframe clones web pages into React, verified by pixel diff
Mirrorframe captures a live web page with a headless browser, extracts a Design Genome, and rebuilds it as a React app—verified node by node via pixel diff, no LLM involved.
AI Sandboxing: The Real Risk Lives in Infrastructure, Not the Model
As autonomous AI agents gain access to tools, credentials, and infrastructure, security focus is shifting from model behavior to runtime isolation and sandboxing.
From Prompt to Loop Engineering: The Verifier Is the Bottleneck
Prompt engineering became context engineering, now loop engineering: same unit-of-work shift, but the newest bottleneck is the verifier, not the model.