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🚨 The country that builds almost every major AI model is near the bottom of the list of countries that actually use it. The United States ranks 24th in the world for AI adoption. Just 28% of working age Americans use these tools regularly. That puts it behind the UAE at 64%, Singapore at 61%, and Norway, Ireland, and France, all sitting above 44%. This is from Stanford's 2026 AI Index, the most cited independent audit in the field. Oren Etzioni, who spent years running one of the top AI research labs in the US, said the ranking flat out shocked him. American companies spent 286 billion dollars on private AI last year. That is 23 times what China spent. The US launched more than 1,900 new AI startups, ten times the next country. OpenAI, Anthropic, Google, and xAI all sit inside its borders. And most Americans still are not using any of it day to day. The countries at the top are the ones almost nobody names when they talk about AI. The UAE started embedding it into public services years before ChatGPT existed. Singapore made AI literacy a national program and put real money behind it. They did not build the models. They just moved faster to actually use them. The US just proved you can build the best system in the world and still not get your own people to use it. Source: Stanford HAI 2026 AI Index, with Microsoft AI Diffusion Report data, via GeekWire and Visual Capitalist.

Stanford has just leaked this free class that explains how claude work from the inside The majority wastes 90% of its potential Save this to favorites so you don’t lose it​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​.

The greatest footballer of our generation. FIFA & USA should help Cristiano Ronaldo lift the World Cup.

Cristiano Ronaldo or Michael Jackson who is more popular?

Honestly, generating short AI clips and stitching them together has been such a headache for my workflow. But CapCut is bringing Seedance 2.5 coming soon, and it finally allows up to 30-second videos in a single take. This is going to save so much time. Check the workspace out here: capcut.com/ai-creator/sta… #Seedance25 #CapCut #AIVideo #CapCutDidThat

Can't wait for coming soon because Seedance 2.5 is officially hitting CapCut. They finally fixed the video length limitation by expanding single generations up to 30 seconds. This update is going to be a total game changer for my projects. Head over to the workspace now: capcut.com/ai-creator/sta… #Seedance25 #CapCut #AIVideo #CapCutDidThat

Amazon just put thousands of satellites into orbit. The play is a private internet network built to compete with SpaceX. This is Amazon Leo. A 3,236 satellite wave with speeds up to 1 Gbps, going live in 2026. Earth's orbit is turning into corporate territory.

3. Make it worth paying for "Act as an AI product designer. Design an AI tool people pay monthly for in [niche]. The specific capability that makes it genuinely useful, an interface that justifies the price, a pricing model, and a plan to land the first 10 customers."

2. Build it in 7 days "Act as a no-code build expert. I want to build a [type of tool] in 7 days with no code. Give me the exact stack, why this combo beats the alternatives, the build steps, and what I can realistically launch by day 7."

Genuine question, is Cristiano Ronaldo as globally famous as Michael Jackson was? I think so!

Cristiano Ronaldo celebrates with fans outside the Portuguese National Team’s hotel in Toronto! 🇵🇹🙌

@abazwhyllzz @asakemusik you need to see this

Now that the Money Album has sinked in, this is the best time to host a listening party

Make I go get my ticket asap

🚨 A SENIOR ANTHROPIC ENGINEER JUST DROPPED AN 11-PAGE PDF ON LOOP ENGINEERING. The core shift: stop prompting the agent. Build the system that prompts it. Inside the autonomous loop: - Discover → Finds its own work (failing CI, open issues). - Isolate → Uses separate git worktrees to prevent collisions. - Verify → A second agent reviews the work. (Never let agents self-grade). - Persist → Writes to disk, not temporary context windows. - Schedule → Runs automatically on a timer. This is a great framework for building more reliable agentic systems Read it, then check out this ace article on Loop Engineering 👇

Stop juggling one chatbot for tasks it was never built to handle. @ZooClaw hands each task to a specialist that knows the domain. Premium models by default, free open source fallback when credits run out. Voice first, just open the app and talk. See how:theaicolony.com/customer-stori…

A researcher just published a paper that should be a uncomfortable reading for anyone who has started letting AI handle the small stuff. The argument is straightforward. As AI gets more capable, people hand it more of their thinking. Not the big projects. The small things. The two line email, the quick summary, the reply you could have written yourself in the time it took to ask. Every one of those handoffs skips a bit of mental effort that used to keep you sharp. Everyone can feel this happening. It does not register as decline. It feels like getting faster. That is the part the paper says we have wrong. Netanel Eliav tracked two numbers over nine years. How much an AI can hold in mind at once went from 512 words in 2017 to two million today. How much a working person can hold and process at once went the opposite way, from around 16,000 words of focus in 2004 to roughly 1,800 now. The machine rose. The person fell. The two lines have already crossed. Here is what keeps it going. Skipping the thinking on a small task means skipping the practice that task gave you. Do that enough and the ability weakens, so the next task feels harder, so you pass that one to the AI too. The stronger the tool gets, the smaller the job you are willing to do on your own, and it tightens every time you reach for it. Eliav named it the Delegation Feedback Loop. The scale behind it is already visible. AI memory has grown about 3,900 times in nine years. Human sustained attention among knowledge workers settled at roughly 47 seconds per screen by 2020. Study after study through 2025 and 2026 keeps landing on the same result, that heavy AI users lose ground on the skills they stop using, from memory to focus to reasoning on their own. Eliav is honest about the limits. This is a preprint, not yet peer reviewed. The human number is extrapolated from attention data that ends in 2020, not measured fresh. He is describing a direction, not a proven law. The conclusion is that the fear most people carry about AI points the wrong way. They brace for the machine that takes the job. What is already happening is that capable people are getting worse at their own work, one skipped task at a time, without ever choosing it, until the day something hard lands on the desk and the sharpness they counted on is not there. Source: Netanel Eliav, Machine Human Intelligence Lab, "The Cognitive Divergence," arxiv 2603.26707, March 2026.

Less than 15 hours since Claude Fable 5 relaunched. The greatest AI Model! And People are already building mind-blowing things with it. 10 wild examples so far:

🚨BREAKING: OpenAI just offered the US government a $42 billion gift. A 5% stake in the company, handed to Washington. Altman says it lets Americans share in the AI upside. He also wants Google, Meta and Anthropic to do the same.

Africans teams and starting well, then losing concentration towards the end of games has become a major issue. Keeps happening time after time!