Dan Pratl

Venture is still optimizing for the last constraint. The paper is a map to the current one. The builders I respect are following it. Everyone else is racing down a curve that already bottomed out. Wrote about why it matters: reproof.substack.com/p/the-most-imp… //

Generation is a computation problem. Verification is an epistemic one. "Was the diagnosis right. Was the argument sound. Did the recommendation fit the context." That work is bounded by human expertise and attention, and it isn't getting cheaper. 2/

@ccatalini just formalized the most important economic fact of the AI era: generation costs are collapsing, verification costs aren't moving, and the gap between them is where the next decade of value gets built or lost. Paper: arxiv.org/pdf/2602.20946 1/

@ineedsow @rileybrown @Polymarket … and why is that the case?? you really think that pitching morons with money is somehow to be preferred over being able to coordinate groups of people that actually care about what you’re doing? The foundational regulation is outdated. That’s the issue.

@PratlDan @rileybrown @Polymarket No, crowdfunding, reg+ never took off because only complete dog shit companies go that route. Legit companies don’t have any issues raising capital.

No sorry you can’t invest in OpenAI, you’re not an accredited investor. But you can bet all your money on what the OPENAI valuation will be on @Polymarket. It’s safer this way for you.

"AI depends on judgment to keep working correctly, and by consuming the communities that produced it, AI is destroying the very thing it requires." In defense of incentivizing the struggle for good work, in a time where the "Easy Button" is literally right there.

@TechLayoffLover And then they’ll have to rehire them in 6mos at a higher floor due to the competitive market + their specific value being calibrated. So smart.

Had drinks with 30 CTOs last night at an off-the-record gathering in Palo Alto Every single one showed me the same internal PowerPoint slide "2026 AI Headcount Targets: Path to 70% Cost Reduction" The numbers will make you physically sick Fintech CTO planning to cut 280-person engineering org down to 43 "AI orchestrators" by September. Same product roadmap. Same delivery expectations. Healthcare CTO already eliminated his entire manual QA department. 67 people. Replaced with 3 senior engineers running autonomous testing agents that ship code directly to production. SaaS CTO walked me through his "human depreciation timeline": 340 engineers today, 89 planned for 2027. Customer support going from 120 humans to 12 "escalation specialists" managing AI conversations. The most chilling part: they're all using the exact same consulting deck from McKinsey called "The 30% Organization" One CTO literally said "hiring humans for code is like hiring horses for transportation" Another showed me Slack screenshots where his L7s are asking if they should train their replacements The consensus was unanimous: if you can't manage 10 AI agents by Christmas, you're not making it to New Year's Every single one of them is planning to announce these cuts as "AI transformation success stories" While their stock options vest at record highs built on the backs of workers they're about to execute The future of engineering is 3 humans with 50 AI agents in a WeWork somewhere while 500 families lose their homes

I tend to ramble, especially about things that bother me. Blind spots really bother me. So I rambled.

AI made execution cheap. Verification is still biologically bottlenecked. The credibility economy isn't coming. It's already here. @thenextweb

GitHub is where code commits live. @QuadronAI is where human credibility lives. On the latest @dealflowpodcast, @PratlDan unpacked a huge idea. In a world where AI can generate infinite content, verification becomes the scarce asset. He framed Quadron as a portable human ledger. A place to capture your academics, skills, expertise, research, achievements, judgment, and ideas, then make that credibility legible, usable, and eventually liquid. Dan has been building in stealth, and this is one of the first podcasts where he has spoken publicly about Quadron. A few comments that struck me: - ideas are assets - building the foundations of a global digital religion around self-belief and contribution - verification is a rare and scarce opportunity - human credibility should be liquid and tradable - you should be able to bet on yourself The Quadron core thesis is powerful. Subscribe to DealFlow Podcast on YouTube: @DealFlowPodcast" target="_blank" rel="nofollow noopener">youtube.com/@DealFlowPodca…

The measure of any system worth building: Do the right outcomes survive the people who designed them? That's the standard. Everything I write here gets measured against it. Welcome to re:proof.

The Romans made concrete that's lasted 2,000 years. The recipe survived. The judgment that made it work didn't. We only fully cracked it in 2023. 1/

Looks like I have to start using this thing... Here goes nothing.