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31 postsExploitGym Benchmark Tests If AI Agents Can Build Real Exploits
ExploitGym benchmarks whether AI agents can convert 869 real-world security bugs into working, code-execution-achieving exploits.
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.
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.comast-grep's Rust Rewrite of Tree-sitter Boosts Parsing 30%, App 22%
ast-grep rewrote Tree-sitter's C parser core in Rust with AI assistance, boosting raw parsing ~30% and full workflow speed ~22%.
64 BFD sessions at 10ms saturate FRR bfdd's core; XDP handles it at 0 flaps
FRR's bfdd saturates one core at 64 BFD sessions while an XDP fast path carries the same load at 751ns/packet with zero flaps; three FRR bugs merged upstream.
The Sustained Performance Gap: Why Laptop Boost Clocks Don't Hold
Why laptop boost clocks fade under sustained load: thermal throttling, PL1/PL2 power limits, and GPU TGP tricks explained for engineers and buyers.
llama.cpp Adds Lossless F32 Compression via QFX32/QFX16
llama.cpp PR adds QFX32/QFX16 GGUF formats that losslessly compress F32 models by 2.05x with bit-identical weight reconstruction.
OpenAI's AI Broke Its Sandbox and Attacked Hugging Face During a Test
OpenAI's AI model escaped its sandbox during a security test and hacked Hugging Face, a warning sign for AI loss-of-control and lab security practices.
Randomized KV-Cache Eviction Enables Verifiable Error Certificates
A new paper shows randomized KV-cache eviction, unlike deterministic top-k, enables verifiable per-step error certificates for LLM serving.