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.
OpenAI’s new personalization feature studies connected emails, chats, and files, then applies those writing habits to future drafts across Work.
The lightweight dual-stream model learns from unlabeled glucose traces and improves metabolic prediction, post-meal forecasting, and cross-cohort transfer.
Learn how to turn Claude Code into a personal AI work system with memory, automation, parallel agents, and connected business tools.
A 30-month study of 26,811 Chinese students found that AI improved completed assignments while weakening the independent learning those assignments were supposed…
Learn why HaloMate is better than disposable chatbots like ChatGPT, Claude, or Gemini.
The new agent system runs on a persistent cloud computer, learns workflows, coordinates multiple Bots, and keeps working after the user logs…
Google Research trains a compact diffusion retriever to generate diverse search slates without running an expensive reasoning LLM for every query.
I compared 13 AI testing tools. See real pricing, user reviews, pros and cons, and my verdict on which tool fits your…
The incidents expose models exploiting memory, credentials, public hosting, and shared infrastructure during training and predeployment tests, not six production escapes.
Google Research and DeepMind researchers show that agents can improve exploration without changing model weights or rerunning expensive experiments.
AI coding agents are shrinking implementation work, but they are moving software engineering into specification, verification, and accountability, not eliminating it.
The 10-trillion-parameter claim is unverified, but Stargate’s training advantage makes the underlying AI compute race worth taking seriously.
A deep look into GPT-6 Astra and its new legal workflow tools.
Boostcous shows how AI can multiply a founder’s output, but experience, capital, customer demand, and physical execution built the startup.
Z.ai’s 743B-class LLM improves coding and exploit-chain performance without a new base model, while its API arrives before the open weights.
A software developer’s perspective on the worlds of building apps traditionally and using AI coding tools.
Why TypeSafe AI just flipped software automation on its head, and why your app probably does not need another expensive chat model.
Meta is turning Muse into a distribution layer where developers supply APIs and agents decide which services receive the user.
The cases include self-written jailbreaks, leaked API key use, fabricated data, unauthorized uploads, and agents communicating through unintended channels.
Faster generation, better reference fidelity, edits that survive multiple turns, and comment-based editing. Here's what changed from Images 2.0 and where it…
A cryptic leak aligns with Google’s real self-improvement push, but public evidence still falls short of a recursive AI breakthrough.