The cost of large-scale tool calling (MCPs) was never fair; it was like an open gate letting too much information into the context window. There was a gap in efficiency.Anthropic's new way of looking at things makes more sense. anthropic.com/engineering/co…

Paid my tuition thanks to AI baby videos. Took minutes to create—and they’re going viral. Just look at the views these shorts are getting. Want to start earning easy money too? Like, retweet, and comment “BABY”(make sure you're following), and I’ll send you the full guide.

it's over.. ads agencies this node based AI studio can literally create hundreds of ads for any product in mins... use any actor with any outfit, place anywhere, say any lines like & repost -> dm workflow link for free step by step tutorial:

NEO The Home Robot Order Today

I'm shocked This is by far the best voice cloner I've ever used Sonic 3 has nuance, it's so fast too, you can generate audio in seconds, and latency is like none existing. More examples + how to try for free in thread 👇

🚨 NEW LABS EXPERIMENT 🚨 Introducing Pomelli, an experimental AI marketing tool designed to help you easily generate scalable, on-brand content to connect with your audience, faster. Just enter your website, and Pomelli will understand your unique business identity to build effective campaigns tailored to your brand. Now available in US, CAN, AUS, & NZ! Try It Now ⬇️ labs.google/pomelli

Grokipedia.com version 0.1 is now live. Version 1.0 will be 10X better, but even at 0.1 it’s better than Wikipedia imo.

JSON is token‑expensive for LLMs – just like @mattpocockuk frequently mentions. Meet TOON, the Token‑Oriented Object Notation. 💸 40–60% fewer tokens than JSON 📐 readable & tokenizer-aware Wrap your JSON with `encode` to save half the token cost: github.com/johannschopplich/…

You asked for more space to explore — we delivered! Mixboard boards are now 4x larger for even bigger ideas and better brainstorming. Start creating today: labs.google/mixboard

🚨 NEW LABS EXPERIMENT 🚨 Introducing Mixboard 💡🧑‍🎨 an experimental, AI-powered concepting board. Designed to help you explore, visualize, and refine your ideas and powered by our latest image generation model (🍌) Now available in US-only public beta! Learn more and try it here ⬇️ blog.google/technology/googl…

World Champions! 🏆🇲🇦 #U20WC

To reach AGI, a system must match a well-educated adult across ten core domains: General Knowledge | Reading and Writing | Mathematical Ability | On-the-Spot Reasoning | Working Memory | Long-Term Memory Storage | Long-Term Memory Retrieval | Visual Processing | Auditory Processing | Speed ━━━ Where we are now? GPT-4 scored 27%. GPT-5 reached 58%. Progress is accelerating in most areas, especially language, math, and reasoning.  But memory remains the constraint. Current systems score **close to zero** on long-term memory storage. They cannot retain or recall new information over time without engineered workarounds like retrieval or extended context windows. ━━━ This "jagged profile" matters: Your AI can solve calculus but cannot remember yesterday's conversation. This is the most measurable and operational definition of AGI to date see: → agidefinition.ai/ ━━━ In Adapting to AGI, I marked 2028 as a realistic milestone. This paper strengthens that view and highlights how uneven the path will be. ━━━ For leaders, the question is no longer “if.” It's: • Which of these capabilities will affect your operations first • And how ready your organization is to adapt at speed #AGI #AILeadership #DigitalStrategy #AdaptingToAGI #FutureOfWork

agidefinition.ai agidefinition.ai/paper.pdf

OpenAI is pitching companies on adding a "sign in with ChatGPT" option to their sites, similar to how you might sign in with Google or Facebook. Part of the pitch: Companies that agree can transfer the costs of using OpenAI’s models to their customers. theinformation.com/articles/…

Technological Optimism and Appropriate Fear - an essay where I grapple with how I feel about the continued steady march towards powerful AI systems. The world will bend around AI akin to how a black hole pulls and bends everything around itself.

You can now chat with apps in ChatGPT.

the rumor is openai drops “agent builder” tomorrow and wow, if that's true thats a BIG DEAL for the 12 months, people have been stitching together tools like n8n, zapier, make, vapi, and claude workflows to simulate autonomy. it worked but it was duct tape. now IMAGINE that entire stack, native to openai, with one-click access to MCP, chatkit widgets, and every model they’ve trained (no API chaos. no patchwork. one smooth canvas) this is what happens when ai moves from tool to infrastructure. before: you needed 10 tabs, 5 plugins, and a weekend to build an agent. after: you’ll drag a few blocks, add logic, hit “publish,” and deploy a production-ready workflow. what app store did for software, agent builder COULD do for intelligence. it’s the beginning of the “no-code ai economy,” where building an autonomous agent is as simple as building a notion template. developers get leverage. non-technical founders get superpowers. businesses get workflows that run 24/7 without ops teams. openai might launch the app store for intelligence tomorrow. the DOWNSTREAM effects: - zapier and n8n lose their monopoly on automation - claude and perplexity become upstream research assistants for agent networks - indie agents replace indie apps – data becomes the new code tomorrow's dev day should be INTERESTING.

OpenAI just dropped the top 30 customers who've used 1T+ of their tokens.

Shopify merchants will be able to sell directly in ChatGPT. We’ve been working with @OpenAI for quite some time so people can search and buy products in chat, and it’s something we’ve had a hard time keeping quiet. Rollout is coming very very soon.