Jamie TechWhiz @TechXWhizAI

GM to all!

A memecoin is a zero-sum* lottery. There is no wealth creation. Every buy order is simply matched by a sell order. And after an initial spike, the price eventually crashes and the last buyers lose everything. * It’s actually negative sum if the platform takes a cut.

looks like tiktok made their site faster

a lot of people say that farcaster is some magic ethereum land but it's not true ethereum foundation, L2s, most of the defi companies never fully embraced farcaster farcaster social graph mostly emerged from @dwr and @varunsrin circles which are more traditionally entrepreneurial and eth aligned but not deep in modern crypto trenches yet it is our best chance for ethereum apps to get to global scale we have some legends like @VitalikButerin or @TimBeiko active but it's not enough if you believe in ethereum you should spend at least half of your X screentime on farcaster larp territory otherwise

Woj Kulikowski @wojkuli

2 years ago

1. sign up on farcaster

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Get this man some retroactive public goods funding

ZachXBT @zachxbt

2 years ago

@MickiCrossChain One of my biggest regrets here is not prioritizing making money. Doesn’t help I have little business sense.

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Reading ZachXBT's latest posts is worrisome: "Feeling extremely stuck" "Nah I am cooked" "Not being properly rewarded for past work ruined a lot my motivation." "Maybe so but I’m mentally defeated for not changing earlier on." "I don’t think that’s worth it bc the space likely does not last forever" One of the most successful crypto personas shows that incentives in crypto are broken. Honest actors don't benefit as much as opportunists. And a morally acceptable and honest monetization in crypto is hard. Really hard.

as we solve for ethereums competitiveness, we should be careful not to re-centralize the ecosystem. heres what i think the design space looks like (thx @tayvano_ for dialoguing with me on this)

My advice to everyone in the @ethereum ecosystem: Stop fighting and build some fucking apps

Why AI Won't Cause Unemployment Marc Andreessen Reposted Jan 24, 2025 "In retrospect, I wish I had known more about the hazards and difficulties of [running] a business." -- George McGovern Fears about new technology replacing human labor and causing overall unemployment have raged across industrialized societies for hundreds of years, despite a nearly continual rise in both jobs and wages in capitalist economies. The jobs apocalypse is always right around the corner; just ask the Luddites. We had two such anti-technology jobs moral panics in the last 20 years — “outsourcing” enabled by the Internet in the 2000’s, and “robots” in the 2010’s. The result was the best national and global economy in human history in pre-COVID 2019, with the most jobs at the highest wages ever. Now we’re heading into the third such panic of the new century with AI, coupled with a continuous drumbeat of demand for Communist-inspired Universal Basic Income. “This time is different; AI is different,” they say, but is it? Normally I would make the standard arguments against technologically-driven unemployment — see good summaries by Henry Hazlitt (chapter 7) and Frédéric Bastiat (his metaphor directly relevant to AI). And I will come back and make those arguments soon. But I don’t even think the standand arguments are needed, since another problem will block the progress of AI across most of the economy first. Which is: AI is already illegal for most of the economy, and will be for virtually all of the economy. How do I know that? Because technology is already illegal in most of the economy, and that is becoming steadily more true over time. How do I know that? Because, [see chart]. This chart shows price changes, adjusted for inflation, across a dozen major sectors of the economy. As you can see, we actually live in two different economies. The lines in blue are the sectors where technological innovation is allowed to push down prices while increasing quality. The lines in red are the sectors where technological innovation is not permitted to push down prices; in fact, the prices of education, health care, and housing as well as anything provided or controlled by the government are going to the moon, even as those sectors are technologically stagnant. We are heading into a world where a flat screen TV that covers your entire wall costs $100, and a four year college degree costs $1 million, and nobody has anything even resembling a proposal on how to systemically fix this. Why? The sectors in red are heavily regulated and controlled and bottlenecked by the government and by those industries themselves. Those industries are monopolies, oligopolies, and cartels, with extensive formal government regulation as well as regulatory capture, price fixing, Soviet style price setting, occupational licensing, and every other barrier to improvement and change you can possibly imagine. Technological innovation in those sectors is virtually forbidden now. Whereas the sectors in blue are less regulated, technology whips through them, pushing down prices and raising quality every year. Note the emotional loading of the interplay of production and consumption here. What do we get mad about? With our consumer hat on, we get mad about price increases — the red sectors. With our producer hat on, we get mad about technological disruption — the blue sectors. Well, pick one; as this chart shows, you can’t have your cake and eat it too. Now think about what happens over time. The prices of regulated, non-technological products rise; the prices of less regulated, technologically-powered products fall. Which eats the economy? The regulated sectors continuously grow as a percentage of GDP; the less regulated sectors shrink. At the limit, 99% of the economy will be the regulated, non-technological sectors, which is precisely where we are headed. Therefore AI cannot cause overall unemployment to rise, even if the Luddite arguments are right this time. AI is simply already illegal across most of the economy, soon to be virtually all of the economy.

This is the web on regulation. Europe has not only hurt its companies, distracted its developers, but also caused global, Internet-wide damage

ETHEREUM ACCELERATION . With @matthuang, @danrobinson & @_charlienoyes.

I am trying hard to see beyond the "framework" label we throw around way too much and instead see permutations of: - Bundlers - Type Safety - State + Reactivity (or lack of) - Logical Routing, Lifecycle, Orchestration - Caching - Network I/O, promises, streaming, serialization

Love this! I honestly think it's overly optimistic to think React will be the last "framework" (what a diluted word these days). It's definitely playing a critical role in these early AI days, but I'm going to assume AGI or ASI will be infinitely smarter than we ever will be and with that said, wouldn't it be safe to assume that it would also see the same shortcomings and constraints of the current status quo that are easy to spot today and look to improve? Even my overly-practical brain knows that stuff like fine-grained reactivity (and beyond cc @RyanCarniato @devagrawal09) alone are enough to invest in multiple futures for the web. If AGI decides to spin up some minority-report/tony-stark style UI on the spot for me, you really think it's going to pick React to power all of those animations and gizmos? I'm not settling any time soon for "good enough", "popular", or "widely trained" because sufficiently advanced AI likely won't either, and I'm definitely not going to sit back and wait for today's nascent AI to shape an "artificially" constrained future ;)

Arnaud Bezançon @arnaudbezancon

2 years ago

AGI will use TanStack Start @solid_js edition. The best AI Agents will be smart enough to rely on fined grained reactivity and Signals. Other Operators will use React Scan.

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Founders, here's a little trick for you: take anything a rich person had 50 years ago -- now imagine everyone having it. Second Home: Airbnb Personal Driver: Uber/FSD Person Chef: DoorDash Tutor: Youtube Trainer: Fitbod Goomah: OnlyFans

Until that happens though, we need more devs writing @SvelteJS in the wild. Most of the base models are still terrible at it 🫠

Ben Davis @davis7

2 years ago

This is the svelte code that Claude unironically generated when asked to make a basic todo app

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Good take re: frontend tools used in AI-generated interfaces. I think React, Tailwind, Radix UI, shadcn, et al. are just a few of many possible “stepping stone” abstractions that in their current form are only used by AI because of abundant training examples and an arbitrary invariant of human maintainability. (Thought that is debatable now – I personally wouldn’t want to maintain a codebase generated by v0.dev by hand in its current state.) Taken to its logical conclusion, a sufficiently powerful AI system in the future would know to optimize its way back down the human-invented ladder of abstraction (to HTML/CSS/JavaScript and maybe beyond) then build layers of the stack back up from its own first principles as and how it sees fit.

Tanner Linsley @tannerlinsley

2 years ago

Love this! I honestly think it's overly optimistic to think React will be the last "framework" (what a diluted word these days). It's definitely playing a critical role in these early AI days, but I'm going to assume AGI or ASI will be infinitely smarter than we ever will be and

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