Instead of the gold standard, we can imagine an inference standard of exchange, the FLOP. (As opposed to tokens, this accounts for AI ability) With some AI help, I figure $1 buys roughly 10^17 managed-LLM inference FLOPs. So that $4 coffee would cost half an exaFLOP, choom.
ECONOMY
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Waymo autonomous vehicles future adoption patterns
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Yeah, keep in mind Waymo attracts only a certain kind of person. Someone who needs to get across town. Obviously if you need to go pick up plywood at Home Depot you aren't using a Waymo for that. But even there that will change in the future. In a decade you might order a
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When Companies Oversell AI: Customers Eventually Discover the Truth
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What happens when you systematically oversell the value of your product for years, while pretty much screwing society along the way? Eventually your customers figure it out.
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TrustClaw faces FUD and mudslinging from competing companies
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By now it’s mostly a problem with FUD and too many companies that try to sell TrustClaw versions by putting us into mud.
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OpenAI shifts ChatGPT ads to cost-per-click and conversion models
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OpenAI is quietly reshaping how ads work inside ChatGPT. The company is moving beyond simple impression-based pricing toward cost-per-click models and is exploring conversion-driven ads designed to trigger actions like purchases or app installs. That’s a significant pivot: from
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AI Dashboards Transform Finance from Maintenance to Decision Making
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AI dashboards > spreadsheets Describe the question
AI builds the dashboard
You tweak logic & visuals
Insights arrive in the meeting Finance shifts from maintenance → decisions. #AI #FPandA #Dashboards #GenAI #Analytics -
Six-Figure SWE Degrees: Education Cost Crisis in AI Era
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students dropping six figures on an SWE degree right now https://t.co/AdJblyuKC6 pic.twitter.com/Dtb4uGkOkG
— Charly Wargnier (@DataChaz) 15 avril 2026students dropping six figures on an SWE degree right now
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AI Automation’s Hidden Cost: Eliminating Customer Intelligence
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BREAKING: Two researchers from UPenn and Boston University just published a paper that should be uncomfortable reading for every CEO automating their workforce right now. The argument is straightforward. Every company replacing workers with AI is also eliminating its own
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Central Planning Failures: Black Markets and Information Distortion
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“Central planning” for the USSR and China, etc meant government allocated resources without market prices or profit/loss signals.
— 🖤 Christine (@christinelu) 15 avril 2026
Result? Shortages everywhere. People (and government officials) turned to black markets an personal connections. They lied about production numbers… pic.twitter.com/sBwVGaUKGq“Central planning” for the USSR and China, etc meant government allocated resources without market prices or profit/loss signals. Result? Shortages everywhere. People (and government officials) turned to black markets an personal connections. They lied about production numbers
