#formal-verification — HeatPulse — HeatPulse

LIVE PULSE

5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition — 1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research — 1 src5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition — 1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research — 1 src

#formal-verification

2 curated events

papersTODAY 04:00 UTC

FVSpec Turns Real-World Property-Based Tests into Lean Verification Challenges

A new arXiv preprint introduces FVSpec, a benchmark that repurposes property-based tests drawn from real software projects as proof challenges in the Lean theorem prover. The work targets the growing need to verify machine-generated code, arguing that AI systems themselves could take on much of that verification work. It also notes that the field still lacks a clear picture of how well current tools and models handle such tasks.

formal-verification/lean/benchmarks/code-generation

papersSEP 12 04:00 UTC

Isabelle/HOL Formalization of Monadic Second-Order Logic Uses Deep and Shallow Embeddings

A preprint reports an Isabelle/HOL formalization of monadic second-order logic (MSO) that builds on the authors' earlier deep-and-shallow embedding method. Three embeddings are constructed alongside one another, among them a deep embedding using an inductive datatype with an explicit satisfaction relation. The work stresses mechanized, automated checking that the different embeddings are faithful to one another.

formal-verification/logic/isabelle/proof-assistants