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29 postsWhy reformatting prompts beats quantization for CPU LLM inference
Measured on a free ARM CPU box: rewriting prompts as label:value fact sheets cut LLM prefill time 6.5x while quantization tricks hurt accuracy.
Tactile Data for Robots: Five Approaches, One Unanswered Cost Question
New tactile robot datasets and models expose diverging costs for scaling contact data, alongside gains in real-time control and evaluation rigor.
ShieldFont: A Web Font That Makes AI Scraping Costly
ShieldFont uses OpenType font substitution so scrapers see decoy text while browsers render the original — an open-source anti-AI-scraping protocol.
ZeroFS adds a native Rust Linux kernel module, bypassing FUSE
ZeroFS ships a Linux kernel module written almost entirely in Rust, bypassing FUSE and running via CI tricks even on kernels without Rust support.
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.comNVIDIA Outlines Four Controls for Securing AI Agents
NVIDIA's AI Red Team details four common failure modes in AI agent deployments and the access, execution, network, and secrets controls that stop them.
Why removing an optimization made GitHub's case-folding 15x faster
How GitHub's Blackbird sped up ASCII case-folding 15x by removing an early-exit branch, unlocking full compiler vectorization for memory-speed throughput.
The physics of Docker build caching: three caches, one wave
A measured breakdown of Docker's three build caches — layer chain, mount cache, image store — and when each caching strategy actually helps.
How one engineer reverse engineered the Attack Shark keyboard protocol
An engineer reverse engineered the closed Attack Shark keyboard protocol via WebHID, producing an open-source configurator for 523 board models.
Inside OpenAI's Agent Loop: How Harness, API, and Inference Cut Costs
OpenAI engineers detail how harness, API, and inference layer optimizations cut cost and latency in agentic systems like Codex and ChatGPT Work.
Thinking Machines Launches Inkling Small Open Source AI Model
Thinking Machines introduces Inkling-Small, a compact open-source AI model with impressive performance.