Mercury 2: The World's Fastest Reasoning Model! 

AI just keeps getting wilder! Meet Mercury 2, the first reasoning diffusion LLM — 5x faster than speed-optimized models like Claude 4.5 Haiku & GPT-5.2 Mini.

Anthropic says DeepSeek, Moonshot, and MiniMax used 24,000 fake accounts to rip off Claude

Anthropic dropped a bombshell on the artificial intelligence industry Monday, publicly accusing three prominent Chinese AI laboratories — DeepSeek, Moonshot AI, and MiniMax — of orchestrating coordinated, industrial-scale campaigns to siphon capabilities from its Claude models using tens of thousands of fraudulent accounts.

NEW Antigravity AI Studio Release From Google Changes
AI Code Development!

Google just dropped the new Antigravity AI Studio update, and it’s transforming the way we develop AI code! In this video, I break down all the latest features, show real examples of building AI applications faster than ever, and explain how this release could change the AI coding landscape forever.

Google launches Gemini 3.1 Pro, retaking AI crown with 2X+ reasoning performance boost

Late last year, Google briefly took the crown for most powerful AI model in the world with the launch of Gemini 3 Pro — only to be surpassed within weeks by OpenAI and Anthropic releasing new models,  s is common in the fiercely competitive AI race.

Now Google is back to retake the throne with an updated version of that flagship model: Gemini 3.1 Pro, positioned as a smarter baseline for tasks where a simple response is insufficient—targeting science, research, and engineering workflows that demand deep planning and synthesis.

Google Just Solved The Greatest Limitation of AI Agents

Browser agents are broken. Not because the models are bad, but because the entire internet was built for human eyes, not machines. WebMCP changes the approach entirely: instead of making agents better at reading websites, it makes websites better at talking to agents.

New agent framework matches human-engineered AI systems

Agents built on top of today's models often break with simple changes — a new library, a workflow modification — and require a human engineer to fix it. That's one of the most persistent challenges in deploying AI for the enterprise: creating agents that can adapt to dynamic environments without constant hand-holding. While today's models are powerful, they are largely static.

To address this, researchers at the University of California, Santa Barbara have developed Group-Evolving Agents (GEA), a new framework that enables groups of AI agents to evolve together, sharing experiences and reusing their innovations to autonomously improve over time.

Anthropic's Sonnet 4.6 matches flagship AI performance at
one-fifth the cost, accelerating enterprise adoption

Anthropic on Tuesday released Claude Sonnet 4.6, a model that amounts to a seismic repricing event for the AI industry. It delivers near-flagship intelligence at mid-tier cost, and it lands squarely in the middle of an unprecedented corporate rush to deploy AI agents and automated coding tools.