The AI hedge fund went from “the talk of Wall Street” to “subject of federal subpoenas” faster than you can say “diversify your portfolio.”
Category: AI
From State to Action: OODA-Tool for Reliable Multi-Turn Tool Use
arXiv:2608.24368v1 Announce Type: new Abstract: Reliable multi-turn tool use requires an agent to preserve an evolving task state and ensure that each…
Chinese Moonshot AI negotiates hosting deals with Microsoft, Amazon, and Google
A Chinese AI company could land its model on major US cloud platforms for the first time, taking a cut of the revenue. The article Chinese Moonshot AI…
ResiSpec: Enhancing Multi-Candidate Speculative Sampling via Residual Distribution Shaping
arXiv:2608.24411v1 Announce Type: new Abstract: The efficiency of Large Language Model (LLM) serving is fundamentally limited by the sequential nature of…
Can You Defend What Your AI Just Did?
Regulatory Deadlines for AI Keep Slipping, but the Need for AI Accountability Remains For two years, the regulatory conversation around enterprise AI has…
Do Recipes Have Personas? Characterizing and Generating Creator Style in Attributed Procedural Graphs
arXiv:2608.24369v1 Announce Type: new Abstract: While large language models (LLMs) possess vast zero-shot procedural knowledge, their tendency to produce…
Can a Dynamic Internal Field Govern a Transformer’s Cognition? Certifiability, not Superiority, in Homeostatic Compute Control
arXiv:2608.24319v1 Announce Type: new Abstract: An intelligent system does not merely reason: it governs its own reasoning – how much to compute, when to…
Benchmarking LLM Judges for Voice-Agent Evaluation: Reliability, Calibration, and Human Oversight
arXiv:2608.24314v1 Announce Type: new Abstract: Evaluating conversational voice agents at scale re- quires reliable assessment methods that capture both…
Runable hits $21M to bet AI agents can go from building businesses to growing them
Runable says 60%–70% of its 1 trillion-plus token usage in the last 90 days came from paying customers.
SonarLLM: A Native Sonar–Optical Multimodal Large Language Model for Underwater Perception
arXiv:2608.24325v1 Announce Type: new Abstract: Reliable underwater perception requires complementary sensing under variable visibility. Optical cameras…
