David Stout
557 posts

David Stout
@Davidstout
Founder, AI Scientist, CEO of webAI™

Proud to partner with the @USArmy on Project ARIA. @thewebAI is contributing to Team Black — building a "Model Armory" that delivers custom AI to soldiers at the tactical edge, on the devices they already carry, no cloud required. Sovereign AI isn't a talking point. It's a mission requirement. webai.com/blog/webai-sel…






"Stack Mac Minis at home" is just the mainframe argument wearing a turtleneck. There was a moment for it — maybe two years ago, when the only models worth running were too large for a single device to load. That moment passed. Machines got better. Models got smaller. @thewebAI was the first to do this, but we stopped ... AI models are shrinking. Intelligence compresses. I'm running the world's best coding model on a single M2 Mac right now — no cluster, no rack, no ritual. Models will be commodities. Edge AI will be table stakes. And no real consumer or business is going to babysit a tower of hardware in their kitchen. The future isn't more boxes — it's AI that disappears into the device you already own. Private. Safe. Effortless.







$6.25 billion. 25 million children. $250 each. Susan and I believe the smartest investment we can make is in children. That’s why we’re so excited to contribute $6.25 billion from our charitable funds to help 25 million children start building a strong financial foundation through Invest America. 💪📈🇺🇸 onedell.com/investamerica/

My AI investment thesis is that every AI application startup is likely to be crushed by rapid expansion of the foundational model providers. App functionality will be added to the foundational models' offerings, because the big players aren't slow incumbents (it is wrong to apply the analogy of "fast startup, slow incumbent" here), they are just big. Far more so than with any other prior new technology, there is a massive and fast-moving wave that obsoletes every new app almost as fast as it can be invented. There is almost no time to build a company and scale it. There are two ways AI application startup founders can make money: - Make a flash-in-the-pan app that generates a ton of cash and bank the cash (my estimate is that you have about 12-18 months cashflow generation) - Make a good enough app that you get acquired by one of the big players for sufficient equity The situation is highly unstable - we don't know if it's going to crash or go to the moon but both scenarios make it very unlikely that any AI application startup will independently become a generational supercompany (baseline odds are low to begin with). The best odds are finding an application niche in a highly specialized field with extremely unique and specific data barriers, ideally ones relating to real atoms (hardware or world-related) data and not software/finance.





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