China’s megalopolis strategy raises a key question: when cities grow into vast mega-regions, do agglomeration gains still outweigh congestion, housing costs, and governance strain?
Beyond a point, concentration can become fragility. A better model may be building new cities and developing multiple independent economic hubs instead of overloading a few urban giants.
What if China dumps cheap AI into the U.S. market?
As corporations adopt lower cost models, American AI firms could see licensing revenue and valuations collapse. With so much capital and market growth tied to AI, a prolonged pricing war could trigger a broader market downturn and potentially contribute to a recession.
I just watched @Interstellar, amazing movie visually and emotionally. But scientifically? It gets time dilation right, but once you cross a black hole’s event horizon, there’s no coming back. The whole “returning from inside” part is pure sci-fi, not real physics.
In 2000, the MVP’s job was to see if users wanted your product. In 2025, you can build an MVP in an afternoon, so the real MVP is attention. Sharability is the new starting line: if people care enough to talk about it, you’ve already validated more than any prototype ever could.
Nowadays, the US economy basically looks like seven giant companies passing spreadsheets back and forth while the rest of us just wonder who’s actually buying groceries.
The U.S. AI economy is deeply intertwined. OpenAI sits at the center, funded by giants like Microsoft, Nvidia, Oracle and more. Yet it’s still unprofitable. If the AI bubble bursts before OpenAI turns a profit, the shock could ripple through the entire S&P tech ecosystem. @OpenAI
Robots are coming to help with tasks at home, cooking, cleaning, learning as they go. Each one feeds data to the same global AI. But homes aren’t the same everywhere. What’s “normal” in one culture isn’t in another. When AI learns from life, culture becomes code. @Figure_robot
The future isn’t just robots or AGI.
It’s the quiet intelligence in between, systems that coordinate, adapt, and fix what we already have.
China’s chasing robotics. The U.S. is chasing AGI.
No one’s chasing the mundane, and that’s where the real progress hides. #mundane
China’s new economic headache has a name, involution. Factories are making things faster than people can buy them, and price wars are everywhere, from EVs to solar panels to coffee. What started as a joke about overwork has turned into a real economic problem. #China
Moving AI agents from assistant to main players in the workforce isn’t just a tech upgrade, it’s a system overhaul. They need to access, understand, and move resources, communicate across formats and operate anytime, anywhere. That’s not plug-and-play. It’s complexity at scale.
We’re losing something precious.
Seeing real people share real moments is what makes social media meaningful.
AI videos pretending to be life might look perfect, but they drain the meaning out of connection.
We don’t need more fake feelings. We need authentic presence. @OpenAI
Everyone loves “vibe coding”, quick results, instant dopamine. But it’s training a generation to ship fast and think shallow.
Real innovation takes obsession, iteration, and painful detail. Depth builds something that lasts.
We have some of the brightest minds of our time, yet so much energy goes into technologies that monetize insecurities on the internet, like ‘how do I look with a V-shaped face.’ Come on! Imagine if we used the same efforts to build robots that grow food or AI that helps cure disease. Profit is part of the journey, but is it really the destination? Our talent can shape a future where technology heals, feeds, and uplifts humanity. That feels like a higher calling.
Europe is that cousin who brings a rulebook to game night, rewrites half the rules, then storms out because it’s “not fun anymore.” Meanwhile, the US and China are busy leveling up AI while Europe debates which dice are ethical.
While the US and China race ahead with AI that codes, designs, and might take your job by Friday…
Europe is out there proudly solving air conditioning issue, just years after the groundbreaking water bottle opener innovation.
It’s 2025 and people still building browsers like it’s 1998… not that I knew what a browser was back then. But come on, AI doesn’t need to click buttons like a human. It talks to APIs.
It’s a bit short-sighted to think OS-level interfaces that mimic human browser use are the future. Warmwind OS claims it’s an “operating system”, but in reality, the real future is behind the scenes: AI workers mostly talk via APIs and endpoints, not controlling GUIs like humans do. @warmwind_OS
Maybe I need something like a multi-universe setup to test changes to a company’s trajectory without disrupting live operations. Full business simulations take time, and by the time they’re done, the company has already moved forward, so the insights are out of date. That lag creates inconsistencies when I try to implement simulated changes.
Has anyone found a better way to handle this? Any tools, strategies, or frameworks that help keep simulations aligned with real-time operations?
Instead of reinventing the wheel, you can just take existing open‑source code and add a little AI sauce? Look at how Cursor (by Anysphere) leveraged open source VC-edits with AI to skyrocket to a $9 billion valuation in under 3 years, turning familiar code into next‑level products. That’s the blueprint for building a great platform.