LIVE PULSE
4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.4 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 src1.7 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 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems — 1 src1.3 Paper proposes evolving context parameterization for large language models — 1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions — 1 src4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.4 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 src1.7 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 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems — 1 src1.3 Paper proposes evolving context parameterization for large language models — 1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions — 1 src
HEATPULSEAI MAGAZINES
FLIP · FOLLOW · SAVE
Log inSign up

#neuro-symbolic

3 curated events
papersTODAY 04:00 UTC

arXiv paper proposes automating attack graph construction for agentic pentesting

A new arXiv preprint describes a neuro-symbolic approach to building logic attack graphs for autonomous penetration-testing agents. The authors argue that symbolic tools like MulVAL provide auditable attack-path reasoning that LLM-based agents currently lack, but note that adapting such frameworks to modern security pipelines and agentic workflows remains a challenge. The work is categorized under cs.AI as a cross-list submission.

agents/security/neuro-symbolic/research
papersTODAY 04:00 UTC

arXiv paper proposes scalable neuro-symbolic approach to generative interpretability

A new arXiv preprint argues that post-hoc interpretability is inadequate as language models shift from chatbots to agentic systems whose actions can have irreversible real-world effects. The authors propose a neuro-symbolic framework aimed at making model reasoning interpretable by construction rather than explained after the fact, and claim it scales. The work is a research preprint and has not been peer reviewed.

interpretability/neuro-symbolic/agents/arxiv
papersSEP 10 04:00 UTC

LiFTER: A Neuro-Symbolic Method for Interpretable Continuous-Time Graph Forecasting

Researchers introduce LiFTER, a neuro-symbolic framework aimed at making continuous-time dynamic graph forecasting more transparent. Instead of leaving link predictions hidden inside opaque neural states that compress past interactions, the method surfaces which entities are shared across events and how temporal patterns contribute to forecasts. A revised version (v2) of the preprint has been posted on arXiv.

interpretability/neuro-symbolic/graphs/forecasting