Llms is a topic tracked in our intelligence system with 5 linked articles.
A post claims to have built a vulnerable app and spent $1,500 to test whether LLMs could hack it.
A personal project GridLion aims to restore the old macOS Spaces grid, but faces non-trivial macOS permission hurdles, reliance on private APIs, and licensing friction outside the App Store.
A short paper finds impolite prompts can yield higher accuracy than polite prompts on ChatGPT-4o, challenging the notion that politeness improves LLM performance.
The author released bsBB forum software powered by Bluesky authentication, discusses the design, moderation, and privacy tradeoffs, and notes the project currently supports a small user base (1-5 active users).
A study finds LLMs corrupt about 25% of document content during long delegated workflows across 19 models, with reliability deteriorating as documents get larger or as interactions extend; agentic tool use offers no improvement.
SysMoBench shows LLMs can generate syntactically valid TLA+ specs for real systems but struggle with conformance and invariants; Specula claims full conformance/invariant scores, while transition-level analysis reveals concrete gaps and automation needs.
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