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2695 postsTurboFieldfare runs Gemma 4 26B MoE model in 2GB RAM on any Mac
TurboFieldfare is an open-source Swift/Metal runtime that streams MoE experts to run Gemma 4 26B in just 2GB RAM on 8GB Apple Silicon Macs.
ButterClaw: Self-Hosted Runtime Security for AI Agents, No Cloud
ButterClaw enforces AI agent security locally with regex signatures, a local LLM verdict pipeline, and SIGKILL/credential shredding — no cloud, no telemetry.
CodeCrucible: A Reusable Blueprint for LLM-Driven SAST
Block's CodeCrucible offers a reusable design blueprint for LLM-driven SAST, using whole-repo analysis instead of snippet-anchored vulnerability scanning.
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.comRunning Kimi K3, a 2.8T-Parameter MoE Model, on an M1 Mac
Deltafin runs Kimi K3, a 2.8T-parameter MoE model, on a 64GB M1 Mac via full local install or expert streaming, no cluster required.
FFmpeg's 16-Year-Old MagicYUV Flaw Enables RCE via Crafted Video
A 16-year-old heap overflow in FFmpeg's MagicYUV decoder (CVE-2026-8461) enables RCE via crafted AVI files, hitting Jellyfin, Nextcloud and more.
MCP goes stateless: the protocol's biggest update since launch
MCP's biggest update yet moves the protocol to a stateless architecture, adds a 12-month deprecation policy, and eyes enterprise-scale AI agents.
CUDA 13.3 Brings Hardware Carryless Multiplication to GPUs
CUDA 13.3's new clmad PTX instruction accelerates carryless multiplication on GPUs, delivering up to 18.8x faster GHASH and 4-13x faster sum-check.
Meta Cuts Ads Latency With Open-Source sched_ext Kernel Scheduler
Meta used the open-source sched_ext BPF scheduler to fix a kernel-upgrade latency regression, cutting p99 latency 28% and saving 3.28MW fleet-wide.
APPA Framework Cuts Prompt Injection Leaks in LLM Agents Near Zero
APPA is a new IFC framework that slashes prompt injection attack success in LLM agents to 0-7% while preserving most task utility.
DeepSeek V4 Flash reaches 32 tok/s on AMD Ryzen AI MAX+ 395
AMD Ryzen AI MAX+ 395 runs 284B-parameter DeepSeek V4 Flash locally at 32 tok/s decode and ~250 tok/s sparse prefill using 128GB unified memory.