artificial intelligence

The Reinforcement Learning Handbook: A Guide to Foundational Questions

the basic concepts you'll want to know to know Reinforcement Learning! We'll progress from absolutely the basics of “” to more advanced topics, including agent exploration, values and policies, and distinguish between popular training...

OpenAI calls for superintelligence safety

Good morning, AI enthusiasts. OpenAI expects AI to begin making “significant discoveries” by 2028 — and is asking on industry and government to work together to arrange for the risks that might include superintelligent...

Adobe’s big AI leap for creators

Good morning, AI enthusiasts. Adobe just wrapped up MAX 2025, taking its most ambitious leap yet toward an AI-powered way forward for creativity.From embedding agentic assistants directly inside its apps to uniting the highest...

China’s open-source AI closes the gap

Good morning, AI enthusiasts. Nvidia CEO Jensen Huang said China was “nanoseconds” behind the U.S. in AI just days ago — and Moonshot AI’s latest release suggests he wasn’t exaggerating.With the open-source (!) Kimi...

This open-source model tops GPT-5, Claude Sonnet 4.5

In partnership with Good morning. It’s Friday, November seventh.On today in tech history: In 2004Cyc reached its twentieth yr. Created in 1984, it got down to encode common sense reasoning in...

TDS Newsletter: The Theory and Practice of Using AI Effectively

Never miss a brand new edition of , our weekly newsletter featuring a top-notch choice of editors’ picks, deep dives, community news, and more. Once we encounter a brand new technology — say, LLM applications — a...

Apple taps Gemini for Siri overhaul

Good morning, AI enthusiasts. After years of delays, Apple seems to have finally picked a lane for its Siri AI overhaul — with one among its biggest rivals stepping in as a “behind-the-scenes” partner....

We Didn’t Invent Attention — We Just Rediscovered It

, someone claims they’ve invented a revolutionary AI architecture. But if you see the identical mathematical pattern — selective amplification + normalization — emerge independently from gradient descent, evolution, and chemical reactions, you realize...

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