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448 postsIPv6-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.
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.comMCP 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.
NVIDIA ModelExpress: P2P RDMA Cuts Model Startup From Minutes to Seconds
NVIDIA ModelExpress speeds up LLM weight loading with P2P GPU-to-GPU RDMA transfers, cutting model startup time from minutes to seconds.
Random Access Parquet: Fast Point Queries Over the Data Lake
Random Access Parquet uses an external index to enable low-latency point queries directly on data lake Parquet files, bypassing slow SQL engine overhead.
Moonshot's 2.8T-Parameter Kimi K3 Runs on a GPU-less Mini PC
A 2.8T-parameter open-weight Kimi K3 model ran on a GPU-less mini PC using disk-streamed MoE experts and native MXFP4 quantization.
Lerd: An Open-Source, Rootless Herd Alternative for Linux and macOS
Lerd is an open-source, rootless Podman-based PHP dev environment for Linux and macOS, offering Herd-like .test domains, TLS and AI-agent integration.
NVIDIA 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.