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2695 postsTesla P100's silent FP16 precision bug in llama.cpp fixed
A 3-line CUDA patch in llama.cpp fixes a years-old silent FP16 precision bug on Tesla P100 GPUs, with zero performance cost.
When AI Reviewers Disagree: A Multi-Agent Code Review Tribunal
ShiftLeft Society pits two AI reviewers against each other in a cost-based negotiation, using Qwen-Max to cut false positives and raise accuracy from 82.5% to 95%.
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.comEmboss: A Python PDF Engine That Keeps Documents as Structured Data
Emboss is a pure-Python PDF engine delivering deterministic, PDF/UA-accessible output with embedded table data and native MCP/AI integration.
Aurora DSQL: Innovative Solutions for Multi-Region OLTP
Aurora DSQL transforms traditional databases with scalable services, offering strong consistency and fast operations.
IPv6-first EKS on AWS in 2026: what still forces NAT back in
A 2026 field report on running IPv6-first EKS on AWS: the remaining IPv4 traps in RDS, ECR, CloudFront and SDKs, and the real cost savings.
ExploitGym: A Benchmark for AI-Driven Exploit Development
ExploitGym is an open-source AI benchmark with 869 real-world exploit tasks spanning userspace software, V8, and the Linux kernel.
NixOS Study Extends Trusting-Trust Backdoor Attack Beyond Compilers
New research shows Thompson's trusting-trust attack works via GNU strip, not just compilers, silently backdooring NixOS package builds.
MCP 2026-07-28 Spec: Protocol Core Goes Stateless
MCP's 2026-07-28 spec drops sessions for a stateless core, adds MRTR, cacheable list responses, and CIMD-based auth hardening.
Agentic AI Economics: Why Unconstrained Autonomy Costs More
Agentic AI deployments are overspending and creating security holes by treating rigid business workflows as open-ended reasoning tasks.