Plenty of proof out there. Stop trying to keep people busy. If you dont want to believe evidence no point showing it to you again. Most autocrats get elected in the last decades.
AI
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Reading data in place keeps production systems running smoothly
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Reading data in place means production systems keep running while analytics teams get the structured data they need.
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France’s shift from universal to income-dependent natalist policies
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France used to have pro-natalist policies that were not income dependent. Those policies indirectly *enhanced* the status of motherhood. Once those policies were scrapped and replaced with the income-dependent policies, their birth rates started to plummet too.
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Mainstream media’s repeated failures on AI predictions and coverage
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It really is incredible how wrong the mainstream media has been with their skeptical AI takes over the past three years, while giving awards to the same AI tech journalists whose predictions and takes have been categorically off the mark. Now it looks like they are all going to be wrong again during this current exponential AI agentic compute demand liftoff. Amazing. tae kim (@firstadopter) When meeting readers, I’ve been stunned by how many just regurgitate false narratives and information about AI presented by the mainstream media. — https://nitter.net/firstadopter/status/2043005565010325773#m
→ View original post on X — @scobleizer, 2026-04-11 17:13 UTC
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Open Format Standards for AI Harnesses Development
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If there’s an open format that harnesses use (which right now there’s not)
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DataHub Intelligence: In-Place Data Integration Without Migration Risk
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Traditional data integration: rip out systems, migrate terabytes, pray nothing breaks.
— Lucian Fogoros (@fogoros) 11 avril 2026
DataHub Intelligence: read in place, contextualize on demand, deliver clean datasets.
Same result, zero migration risk. Partner content with @HighbyteInc. #highbyte_iiot pic.twitter.com/irPHcL5teWTraditional data integration: rip out systems, migrate terabytes, pray nothing breaks.
DataHub Intelligence: read in place, contextualize on demand, deliver clean datasets.
Same result, zero migration risk. Partner content with @HighbyteInc
. #highbyte_iiot -
Tools and Harnessing Drive Recent AI Progress Over Scale
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nope, tools/harnessing is what is accounting for most of the recent progress. not scale. no way could you get a pure LLM to do what Claude Code does. that’s why they used the other stuff, too see eg https://
open.substack.com/pub/garymarcus
/p/how-o3-and-grok-4-accidentally-vindicated?r=8tdk6&utm_medium=ios
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AI Needed for Parkinson’s Disease Treatment Breakthrough
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It's World Parkinson's Day and we still have no disease-modifying drug or prevention for this condition, the 2nd most common and fastest growing neurodegenerative disease. That needs to change! https://
nature.com/articles/s4158
2-024-01034-x
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Agent Loop Implementation Code Organization Best Practices
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and yeah putting an agent loop in a file called print.ts is, um, ugly.
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Symbolic Code Refactoring: Beyond Neural Networks
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code is code; it’s not a neural network, it’s symbolic but yet it does sound like it needs a refactoring.