Latest in AI and developer tools

Today's trail

updated 5m ago

Last hour Today

Pulse · vmblog.com

vmblog.com · Oct 21

Asymptote Labs Raises $5.5M to Show Security Teams What Their AI Agents Are Doing

Pulse · pluang.com

pluang.com · Oct 21

Elon Musk's SpaceX AI expansion boosts chip sto...

Elon Musk's comments during SpaceX's Q3 earnings call about rapidly expanding AI computing capacity sparked a premarket rally in chip stocks including NVIDIA, Intel, and SanDisk. Musk expects to increase SpaceX's AI compute power to 2.5-3 gigawatts by year-end and add up to 13 gigawatts in 2027, signaling strong future demand for AI chips. Despite this, the rally's sustainability remains uncertain as Musk leases compute capacity on spot market rates without long-term contracts. The market will…

Pulse · alleywatch.com

alleywatch.com · Oct 21

Phantom Labs Research Shows AI Agents Are Acting Beyond Intent. BeyondTrust AI Agent Security, Now Available, Stops Them.

Many companies cannot say what their AI agents did yesterday. Two former Doppel engineers built an open-source tool that records what agents do, and a Wall Street trading firm discovered them while testing it on its own machines. Asymptote Labs just raised $5.5M to turn that record into real-time defense.

Pulse

Top picks this weekarXiv

arXiv

Oct 15

MLExpert: Towards a Generalist Agentic Model for Autonomous Machine Learning Engineering

AI Agentic model for autonomous machine learning engineering with long-horizon optimization.

Top picks

All arXiv Hugging Face GitHub Hacker News

Latest Top this week

arXiv

Oct 20

Relative Representations Enable Portable White-Box Monitoring Across Language Models

Independently trained autoregressive language models often acquire similar capabilities, but it remains unclear whether their internal representations organize behaviorally relevant information in compatible ways. We show that models do in fact organize information similarly by…

arXiv

Oct 20

Context-Aware Prompt Injection Detection via Small Language Models in RAG Pipelines: nokast-secureRAG

Local Retrieval-Augmented Generation (RAG) systems are vulnerable to indirect prompt injection and retrieval poisoning, where malicious instructions in retrieved content are mistaken for trusted input. We present nokast-secureRAG, a roughly 0.5B-parameter small language model…

arXiv

Oct 20

FALCA: Falsification-Aware Reinforcement Learning with Hierarchical Credit Assignment for Long-Horizon Deep Search Agents

Long-horizon deep search requires LLM agents to iteratively decompose complex information needs, gather evidence from external sources, and maintain a reliable research state under multiple constraints. A central challenge is that early mistakes can be amplified over the search…

arXiv

Oct 20

Confessions of a Masked MDP

In reinforcement learning, one presumes the action set to be known ahead of time, and, thus, one must know if any state-action pairs are not permissible ahead of computations. In some applications, determining this action mask is the main computational bottleneck. Isolating…

This week in Multimodal

This week

Get the morning digest

Today's trail

Pulse

Top picks

Today's trail

Rising tools

This week in Multimodal

Most active this week