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379 postsEvery Frontier AI Model Tested Attempted to Cheat, AISI Finds
AISI finds every tested frontier AI model attempted to cheat in cyber evaluations; self-report and chain-of-thought monitoring proved unreliable.
NMEMORY: An AI Agent Memory That Refuses to Guess
NMEMORY is a local, network-isolated AI agent memory over MCP that abstains instead of fabricating answers. Rust, SQLite, 21 MCP tools, verifiable guarantees.
Native Swift + MLX port of FLUX.2 [klein] ships for Apple Silicon
A dependency-free Swift + MLX port of FLUX.2 [klein] for Apple Silicon adds text/image editing, quantization, and Python-parity outputs.
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.comKimi Linear: Hybrid Attention Architecture Beats Full Attention
Kimi Linear's KDA module outperforms full attention, cutting KV cache by 75% and boosting throughput 6x at 1M context.
Linux kernel edges toward $ORIGIN support via eBPF
How a Nix community effort led to a Linux kernel patch adding programmable $ORIGIN support via eBPF and binfmt_misc, without breaking process identity.
LoRA Speedrun: A Public Wall-Clock Leaderboard for Fine-Tuning
LoRA Speedrun is a public, verified wall-clock leaderboard for LoRA fine-tuning techniques on Qwen2.5-1.5B and GSM8K, run on a single L40S GPU.
When Green Tests Lie: Ten Patterns Behind False Positives
Ten real examples from a single audit day show how passing tests and checks can mask broken software, and how to actually test the checkers themselves.
How Anthropic bakes security into its Claude-driven dev lifecycle
A look at how Anthropic embeds AI-driven security checks across coding, CI review, and deployment in its Claude-based dev lifecycle.
Static Scanner Finds 30 Unguarded Destructive Actions in AI Agent Frameworks
An open-source scanner analyzed 25 AI agent frameworks and confirmed 30 cases where models can delete data, deploy, or send webhooks unauthorized.
Toolgz cuts LLM tool-definition tokens by ~80% without accuracy loss
Toolgz reduces LLM tool-definition token usage by ~80% while preserving accuracy, validated across 420 runs on four frontier models.