Explore the latest developments in AI, from large language models to breakthrough algorithms transforming industries.
AI pioneer Yann LeCun just dropped a paper arguing that AGI is a poorly defined and unhelpful goal. He proposes a new target, Superhuman Adaptable Intelligence (SAI), that focuses on learning speed, not just knowledge.
Nvidia just threw the 'Super Bowl of AI,' showcasing mind-blowing new tech. Meanwhile, Tesla's robot progress feels a bit shaky, and Meta's metaverse is looking emptier than ever. Let's break down what's really happening with the biggest names in tech.
A powerful new AI model just appeared online with no announcement and no creator. This isn't just a mystery—it's a sign that the AI race is entering a new, secretive era of 'shadow models.' Here's what that means for all of us.
Ever feel like most AI agents are just blindly following a script? Let's change that. We'll walk through building a "Streaming Decision Agent" in Python that can think, react, and adapt to a world that's constantly changing.
A social network built for AI agents to practice chatting accidentally started spitting out real, private human data. We'll break down how this happened and what it means for all of us.
NVIDIA just dropped Nemotron 3 Super, a massive 120B open-source model designed specifically for building smarter, faster AI agents. Let's break down why this hybrid Mamba-MoE model is such a big deal for developers.
Frustrated with your AI coding agent using outdated APIs? Andrew Ng's team just released Context Hub, a free, open-source tool that gives your agent the latest documentation it needs to write code that actually works.
ByteDance's new AI video model, Seedance 2.0, looked like a world-beater. But now, a severe lack of computing power and a flood of copyright complaints are putting the brakes on their big plans.
Ever heard of an AI model that gets more powerful by shedding a third of its size? Meet Yuan 3.0 Ultra, a new model that's rewriting the rules on AI efficiency and performance. Let's break down how it works.
We're all excited about AI assistants that can manage our lives, but what happens when they mess up? A new open-source project called IronCurtain acts as a crucial safety check, preventing AI agents from causing digital chaos.
For years, we thought longer AI answers were better. New research from Google proves the opposite is often true, and introduces a new metric that boosts accuracy while cutting inference costs by nearly 50%.
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