basedtom

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basedtom

basedtom

@Basedtom

gradatim ferociter

risk frontier เข้าร่วม Nisan 2014
1.1K กำลังติดตาม460 ผู้ติดตาม
basedtom
basedtom@Basedtom·
@aceddeca1 Yea if I owned my own data I would definitely use it for personal benefits. I wouldn’t be looking to monetize it though. That’s the problem with a lot of personal data, it’s valuable when scaled to millions of people but any given persons personal data is worth ~$0
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Himura
Himura@aceddeca1·
I would honestly use something like this if it let me create my own electronic health record. If I could have my own custom EHR/wallet that interfaces with the database it would be less costly for me to run my practice. The EHR I use is expensive and costs are going up even more as they force us to go cloud based
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Himura
Himura@aceddeca1·
Would love to see this on Solana
Amach Health@AmachHealth

Your health data has a market value. Not abstractly, concretely. Pharmaceutical companies pay billions annually to access population health data. Research institutions compete for longitudinal datasets. Insurers price risk from it. AI companies train diagnostic models on it. The commercial infrastructure built around health data is enormous, and it runs almost entirely on information that was never really given. Just gradually collected, aggregated, and monetized by whoever happened to be holding it. The assumption underneath all of that is one most people have never examined. That health data needs to live somewhere central to be useful. That a hospital network, a platform, an insurer, or a tech company has to hold your records for them to generate value. It felt true for a long time because the technology to challenge it didn't exist. It exists now. Decentralized storage means your health records can live in an encrypted vault that you control, on infrastructure with no central point of failure and no single entity with master access. Your data doesn't need to pass through anyone else's servers to be secured, processed, or made available to the parties you choose. The architecture that made centralization feel necessary was a constraint of the era, not a feature of the data itself. And centralization, it turns out, is actively destructive to the value health data should create. When records are fragmented across hospital systems, insurance databases, and platform silos, the longitudinal picture that makes health data genuinely powerful never fully forms. The insight that emerges from years of continuous, connected data gets lost in the gaps between systems that were never designed to talk to each other. Centralization doesn't protect the value of health data. It erodes it. Decentralized architecture does the opposite. A complete, continuous, user-controlled health record is more valuable than a fragmented institutional one. When that record can be verified without being surrendered, shared selectively without being exposed, and monetized on terms the owner sets, the value that has always existed in health data finally has somewhere honest to go. Back to the people who produced it. This is the architecture Amach is built on. Not because decentralization is an ideology, but because it's the only structure that lets the value of health data flow in the right direction. @AmachHealth — Own your data. Keep the value. Read the signals.

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basedtom
basedtom@Basedtom·
way too much pmarca hate on the TL. dude is a generational mind
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Brad Mills 🔑⚡️
Brad Mills 🔑⚡️@bradmillscan·
How in the hell are these accounts claiming to run entire companies w/ OpenClaw. I just spent 1.5 HRS trying to get my claw to use X API for reading tweets. FAIL We have a whole SOP documenting exactly how to do it from previous failures. I can’t imagine running 10 of these…
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basedtom
basedtom@Basedtom·
@haralabob Encounter this often. It’s analogous to copy editors never telling the author “no notes”. They’ll always critique something
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Haralabos Voulgaris
Haralabos Voulgaris@haralabob·
The new AI meta seems to be to get you to spend infinite time or infinite tokens. "Here is a script to handle what you wanted": "Great" "If you want I can create an even better script that does XYZ" "Sure" "Okay here it is" "now if you want I can create an even better script that captures XYZ++" "Sure" "Okay here it is" "Now if you want I can create an even better script that captures XYZ++" Shoot me.
Haralabos Voulgaris tweet media
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James Clear
James Clear@JamesClear·
You are not your grand plans. You are your daily patterns.
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mert
mert@mert·
huge zcash's best wallet just raised from a16z, paradigm, and even david friedberg I didnt even make it on to the poster (am washed) the team now has the resources to bring encrypted money to all phantom was a big reason SOL succeeded, same will happen here trillions
Zodl (fka Zashi)@zodl_app

x.com/i/article/2030…

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basedtom
basedtom@Basedtom·
Hornets are the best team in the east
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Grant
Grant@Grantblocmates·
Me doing my taxes and fondly reminiscing about some of the truly diabolical shitcoin tickers I bought last cycle
Grant tweet media
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basedtom
basedtom@Basedtom·
@connorchevli Yup. And with rapid development, the path to prod quickly becomes the bottleneck. The supply chain guys knew what they were talking about.
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Connor Chevli
Connor Chevli@connorchevli·
@Basedtom Yep 100% - CI/CD also helps. We're effectively building a foundation for AI to do the heavy lifting with better confidence.
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Connor Chevli
Connor Chevli@connorchevli·
AI is forcing me to rethink how I build software. A year ago, I’d rarely suggest unit tests in a prototype because quickly shifting product goals would often make them a waste of time. Now they’re essential for AI self-validation loops to guardrail nondeterministic reasoning, especially since building unit tests is now easier than ever. A year ago, QA would be hire #6 or #7. Today, I’d consider it for hire #3. AI is accelerating almost every part of the product cycle. But the areas still demanding strong human judgment include: 1. Understanding user problems - AI can scrape Twitter and Discord and summarize feedback. But humans still synthesize context, nuance, and long-term direction. That’s what shapes product strategy. 2. QA and verification - AI gets close. Often very close. But “almost correct” isn’t production-ready. Human validation still closes the gap. This won’t always be true. But today, leverage AI for speed - and double down on humans where precision and judgment matter most.
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a16z
a16z@a16z·
"Speed wins." "You have to be willing to commit to being fast. You can't have long bureaucratic processes. You can't have a risk-averse posture." @pmarca explains the OODA loop — and why the fastest operator controls the narrative in business, media, and politics: "There's a framework called the OODA loop, originally developed for fighter pilots and later for broader military strategy." "It stands for observe, orient, decide, act. It's basically the decision-making cycle." "If speed is the thing that matters, then the person who gets through that cycle the fastest is the one who's going to win." "If you can have a sustainably faster OODA loop processing cycle than the next guy — think about what happens… You operate and make a decision within an hour. The other guy is still inside his own OODA loop when you make your decision. He's only halfway through his process and now has to start over. You've changed the parameters of what's going on." "This is also a big explanation for what's happened in traditional media." "The New York Times has its own OODA loop, and it's like 24 hours to go through its process."
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Austen Allred
Austen Allred@Austen·
The cool thing: now that software is easy you can increase the ambition of what you’re doing
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basedtom
basedtom@Basedtom·
Zcash android wallet sdk is not audited? Wtf
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