Everyone’s using ChatGPT. But almost everyone's STUCK in beginner mode. 10 techniques to get massively ahead with AI: (cut-and-paste these prompts👇)

Top stories in tech today: - Musk tried to enlist Zuckerberg in OpenAI bid - Meta signs $10B cloud deal with Google - Nuro gets $203M lift from Uber, Nvidia - Smart glasses that ‘augment’ intelligence - Quick hits on other tech news Read more: tech.therundown.ai/p/musk-brings-…

Valuation per full-time employee: * Perplexity: $300M * OpenAI: $250M * xAI: $90M * Anthropic: $55M * CharacterAI: $50M * ScaleAI: $24M Market cap per full-time employee: * NVIDIA: $100M * Apple: $20M * Meta: $18M * Microsoft: $16M * Alphabet: $13M Hmmm

He predicted: • The Deep Learning revolution (2008) • The online education boom (2011) • China's massive AI dominance (2014) Now Andrew Ng revealed 5 opportunities that will create more millionaires than anything before. Here's what you should know (& how to prepare): 🧵

Peter H. Diamandis, MD Smart people are using AI to do the impossible. Stupid people are getting sucked into a bot tickling their fantasies.

🇨🇳Another great paper from a Chinese Lab. Scientific Discovery is going fully AI-native, and chemistry, physics, and biology won’t look the same after this. Shanghai AI Lab has dropped Intern-S1, It's a scientific multimodal MoE that reads images, text, molecules, and

What a crazy week in AI 🤯 - Runway Game Worlds - Grok 2.5 Open Source - ChatGPT-5 Beats Doctors - Qwen Image Editing Model - ElevenLabs Video to Music - Highsfield Product to Video - NanoBanana debuts LMArena - Google AI Mode Agentic Release Here’s EVERYTHING you need to know:

A team of AI agents just linked Alzheimer's to eye cancer. This is only one of 1000+ connections found. New UIUC research suggests our symptom-based disease maps are obsolete. A new map of medicine, based on molecular reality, is emerging. Here's how it works: A fully

I examined 305 papers from this week so you don't have to. Here are the highlights from Aug 18–24 2025. Big moves: stronger tests, more capable “computer-using” agents, and faster long‑context reasoning. Reliability gaps in the real world remain - Agents that use computers: A

Very Interesting!

We’re entering a time when everything changes, all at once.

huggingface.co/collections/ap…

I have been fine-tuning LLMs for over two years now! Here are the top 5 LLM fine-tuning techniques, explained visually:

Stanford just pulled off something wild 🤯 They made models smarter without touching a single weight. The paper’s called Agentic Context Engineering (ACE), and it flips the whole fine-tuning playbook. Instead of retraining, the model rewrites itself. It runs a feedback loop

Testing Sora 2 Physics sora.chatgpt.com/p/s_68ea5cf3a4…

Drake Maye.

.Rob Gronkowski officially retires as a Patriot! THANK YOU GRONK 🙌