OpenAI announced a new family of AI reasoning models on Friday, o3, which the startup claims to be more advanced than o1 or anything else it has released.

Google’s Gemini 3 Deep Think Mode—AI with human-like reasoning, parallel analysis, and multimodal problem-solving for professionals.

AI self-reflection can improve an answer, but LLM self-correction often struggles without external feedback. Here’s why verification changes the result.

The most interesting AI news from the last week

Anthropic has launched Claude for Education to help universities adopt transparent, critical-thinking-focused AI across classrooms and campuses.

New Llama Nemotron models from NVIDIA introduce toggleable reasoning, allowing AI agents to independently process complex tasks while optimizing computational efficiency.

DeepSeek is rushing the release of its R2 AI model as competition from OpenAI, Alibaba, and other companies intensifies.

DeepSeek has released V3.2-Speciale, a high-compute reasoning model claiming Gold Medal math performance, but restricts access to a temporary 14-day API window.

In the time it takes to watch an episode of your favorite show, an AI just solved a math problem that has baffled human experts for years. This isn't science fiction. This is the story of OpenAI's GPT-5 Pro. In this episode, we unpack the groundbreaking moment when GPT-5 Pro independently solved an "open problem" in convex optimization in just 17.5 minutes. But it didn't just find an answer; it discovered a novel solution that inspired its human counterparts to push their own research even further. This is the dawn of human-AI collaboration, a new era of scientific discovery. We're diving deep into the debate: Is this a jaw-dropping display of advanced AI reasoning, or is it the first true spark of AGI (Artificial General Intelligence)? We're exploring a future where AI isn't just a tool, but a genuine creative partner in solving humanity's greatest challenges. After we unpack this incredible story, we'll also briefly introduce our sponsor, "ChatLM," an all-in-one AI platform to streamline your own daily tasks. Stick with us to the very end, where we'll reveal the one specific detail about GPT-5's method that has scientists both exhilarated and deeply unnerved. The future is arriving faster than we thought. Subscribe, share this with anyone curious about the future of science and intelligence, and let's figure out our place in it, together.

We've all seen Large Language Models (LLMs) perform magic... and then fail at a simple logic puzzle. Let's be real: for all their power, AI often thinks in a straight line, and it's their biggest flaw. But what if the next leap in Artificial Intelligence isn't about feeding it more data, but about teaching it the one human trick it could never master: how to change its mind? This episode pulls back the curtain on a game-changing breakthrough from Tencent AI Lab called Parallel R1. This isn't just another model; it's a completely new framework for AI Reasoning. We'll break down how researchers are teaching AI to escape "straight-line thinking" by exploring multiple thought paths at once—just like you do when you're weighing options to solve a complex problem. Forget brute force. We explain the elegant three-step Reinforcement Learning process that allows an AI to learn when to branch out and explore, all without human supervision. This is the secret to creating smarter AI, not just bigger AI. The results? A massive leap in mathematical accuracy that proves a better thinking strategy is the true key to unlocking the future of AI. This is the story of how we stop making AI bigger, and start making it wiser. If you're fascinated by where AI is truly heading, you can't afford to miss this. Enjoyed this deep dive? Subscribe and share this episode with one person who needs to know about the next revolution in AI development. Let us know in the comments: What's the first complex problem you'd want this new kind of AI to solve?