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.

OpenAI deploys Cerebras chips for 'near-instant' code generation in first major move beyond Nvidia

OpenAI on Thursday launched GPT-5.3-Codex-Spark, a stripped-down coding model engineered for near-instantaneous response times, marking the company's first significant inference partnership outside its traditional Nvidia-dominated infrastructure. The model runs on hardware from Cerebras Systems, a Sunnyvale-based chipmaker whose wafer-scale processors specialize in low-latency AI workloads.

The Rise of WebMCP

In this video, I look at Web MCP and how it could have a huge impact on how agents operate on the web and work with websites.

MiniMax's new open M2.5 and M2.5 Lightning near state-of-the-art while costing 1/20th of Claude Opus 4.6

Chinese AI startup MiniMax, headquartered in Shanghai, has sent shockwaves through the AI industry today with the release of its new M2.5 language model in two variants, which promise to make high-end artificial intelligence so cheap you might stop worrying about the bill entirely. 

It's also said to be "open source," though the weights (settings) and code haven't been posted yet, nor has the exact license type or terms. But that's almost beside the point given how cheap MiniMax is serving it through its API and those of partners.