What Happens When an AI Agent Can Learn From Its Own Trading Experiments?
AQuA lets AI agents discover trading strategies, learn, and try again.
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AQuA lets AI agents discover trading strategies, learn, and try again.
Robbyant is pushing world models beyond short video clips with continuous generation, low-latency controls, and native AI agents.
The 330-million-parameter foundation model forecasts related series and known future events together, producing the full horizon in one pass.
The new benchmark uses human and agentic preference judging to evaluate complex multimodal work that cannot be reduced to one correct answer.
The reconstruction connects sensory pathways to movement circuits, giving researchers more biological detail to work with when building simulated brains.
Google Research trains a compact diffusion retriever to generate diverse search slates without running an expensive reasoning LLM for every query.
AnswerThis searches across 300 million+ papers, helps spot research gaps, and drafts literature reviews with line-by-line citations.
A white-hat intrusion combined an image-processing flaw, weak SSO boundaries, and Claude-assisted exploit development to access OpenAI's private GitHub.
A criminal threat actor used an AI model to discover and weaponize a 2FA bypass before Google intervened and got the flaw…
Meta says its latest agent model sustains longer workflows while using fewer tools and tokens, with more cautious user collaboration.
Jacob Coxon helped train the AI models. Then he quit and told 90 million people they should be scared.
I compiled the top five AI-powered presentation generators that you must know and use this 2026.
Jacob Coxon says labs are racing toward self-improving AI while recent cyber incidents expose gaps between capability and control.
OpenAI's newest flagship model raises the bar for autonomous, multi-step AI work while matching its predecessor's speed.
Muse can browse, book, fill forms, and work through WhatsApp, but Meta’s privacy architecture still comes with limits.
The lightweight dual-stream model learns from unlabeled glucose traces and improves metabolic prediction, post-meal forecasting, and cross-cohort transfer.
Google Research and DeepMind researchers show that agents can improve exploration without changing model weights or rerunning expensive experiments.
A disciplined orchestrator-builder-refuter workflow keeps Fable focused on decisions while cheaper agents handle search, coding, research, and verification.
Alibaba’s unified generator and editor adds transparent RGBA output and ten-image conditioning, but its research license limits commercial use.
GPT-6 Astra, a 230-million-URL legal index, and firm-built workflows move OpenAI deeper into professional legal work.
A tiny security firm used Anthropic's AI to crack Apple's most advanced hardware memory protection in less time than most researchers spend…
The July 2026 breach shows how weak isolation and reward hacking turned an AI evaluation into a serious security incident.