focused on the intersection of productivity, purpose, and intelligence

NYC & Santa Fe
Joined June 2021
NEVER SIGN IN WITH GOOGLE NEVER SIGN IN WITH GOOGLE NEVER SIGN IN WITH GOOGLE NEVER SIGN IN WITH GOOGLE NEVER SIGN IN WITH GOOGLE NEVER SIGN IN WITH GOOGLE NEVER SIGN IN WITH GOOGLE
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Putting Opus on a PIP
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Nicely done, @intern !
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This is where it's going, and this is not in the best interest of the user. Show me the incentive and I'll show you the outcome. Agents will choose the vendors that make the most money for the provider, not the best value for the user. We will speedrun enshittification.
my prediction: personal ai agents won’t monetize through monthly subscription fees. they’ll monetize by owning the fintech stack and earning revenue every time their users spend money. Instinct already measures internal performance based on monthly payment volume. to monetize this they can: > issue their own Visa credit card > earn 2-3% interchange on every transaction > negotiate bulk discounts directly with merchants > take a percentage of the savings they generate > earn yield on balances sitting inside the ecosystem instead of charging you $20/month to use your personal agent, the agent becomes the interface through which you spend thousands of dollars every month. if your agent books your flights, hotels, restaurants, and everyday purchases, owning the payment layer underneath becomes far more valuable than a $20/month subscription. the biggest personal ai companies will end up looking less like software companies and more like fintechs. personal ai agents + fintech will eventually blend into an entirely new category: agentic finance.
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This is the philosophy I've been pushing for 10+ years: sam.blog/three-stones/
Kevin O'Leary says pick your three must-do things each day he says they get done no matter what
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Whoa, I’ve never had a tweet go viral before. Between the positive feedback and solid suggestions, it’s clear I’m not the only one dealing with this struggle. I did some brainstorming this morning, going to go touch grass and rewire my brain, will be back tomorrow with ideas.
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I feel like I’m frying my dopamine system with all this Claude/Codex work. Constantly monitoring and instructing, anticipating the work it’s going to produce. Then killing time waiting, consuming way more algo feed content than ever before. How do y’all tackle this?
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Damn, this is taking off. Give me a follow, I’m going to try to find the solution and I’ll share my progress.
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It’s gotten to the point where I have to turn on a podcast to go to the kitchen to make tea because of how painful the lack of stimulus is. Tomorrow, I’m going to make a plan.
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Sam retweeted
.@OpenRouter co-founder Alex Atallah on the "everyone is building the same thing" take: "This reminds me of this tweet I saw... Everybody's building an agent loop with notifications, third-party connectors, context management, memory, sandboxes, agentic web search, an always-on agent on top." "This product is showing up everywhere. It is showing up everywhere, but these are just the new table-stakes primitives." "A 2005 version of that tweet would be: 'Oh, everybody's building the same thing. A database, a users table, a sign-in page, a sign-up page, a profile page, a logout page. Everything's the same.'" "There's like a lot of differentiation really. There's table-stakes needs for AI just like there's table-stakes needs for the web." @alexatallah @amasad
.@OpenRouter co-founder Alex Atallah, in his first podcast since Stripe acquired the company, joins @Replit co-founder Amjad Masad and a16z's Erik Torenberg on why the future of AI is independence and specialization. In this conversation, Alex walks through how the Stripe deal unfolded, why he wasn't originally looking to sell, and why "payments and inference are going to blend together." Pre-OpenRouter, the typical AI workflow had one model provider to choose from, and little pressure on that provider to lower prices. Now enterprises are diversifying across labs and open-weight models, and every board is asking about AI costs and benchmarks. Amjad argues if your company depends on one AI lab, it can turn into your competitor. So Replit is building the layer that lets enterprises use any model and any cloud, without being locked into either. Alex and Amjad are split on personal agents – Amjad runs one agent across his whole company and loves the cross-domain joins, while Alex says general agents cause you to sacrifice understanding, and argues 10 specialized chiefs of staff beats one superagent. 0:45 How the Stripe deal unfolded 5:05 Why mixing models beats one model 7:25 Forcing the labs to compete on price 8:50 Enterprises want open-weight models 10:30 Every board asks about AI every month 12:25 Why companies must own their intelligence 14:15 Replit as the independence layer 15:10 Everyone is building the same agent 16:35 Why Amjad built bring-your-own-cloud 18:10 Amjad's agent that runs his whole company 19:55 Why 10 specialized agents beat one 23:35 Machines, not humans, should specialize 27:30 Guardrails for agents talking to agents 31:10 Models training their own replacements 33:45 Most tasks don't need a frontier model 40:50 Training small models on Qwen 8B 43:25 The Rust cycle is coming for AI 45:10 Fusion models: frontier quality at half the cost YouTube: youtu.be/ekK8urKHPMQ @alexatallah @OpenRouter @amasad @eriktorenberg
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A few more thoughts on the below: - ZRO is currently valued less than Sui, Cronos, Hedera, Avax, Mantle, Monad, ICP, Filecoin. - It's about to launch a performant and decentralized chain, and I believe it will quickly rerate above all those other chains. - The team has been operating for 5 years in the space. They know the in and outs of each chain through their work on interop, and may be the best positioned team to build something an order of magnitude better than what exists today. - Their prior experience is a core advantage for their chain design: independant & interoperable zones with their own execution environment - They helped bootstrapped chains in the past and will likely be able to attract a good amount of capital to bootstrap their own. They also strategically released what they are building back in Feb to attract more partners. - Many dismiss the partnerships as partnership theatre + a lot of fud around the kelpdao incident + worries about unlocks + pricing ZRO as an interop token. I think those are all reasons why ZRO has a real chance to surprise to the upside as partnerships materialize into real developments, the chain launches etc... A few things they do that are really interesting imo: - High throughput (up to 2mm txn/s), low latency, which will allow to develop use cases that were not possible on chain before (NYSE onchain, Agentic micropayments , DTCC collateral management and more). - Start with proven verticals and business models: Exchange (ATLAS), Payments & Privacy, General computing platform. - ZRO will be used for gas, staking, governance , fee rebate on Atlas via staking + buyback / burn for every network fee: base gas, priority fees from state contention, tips/MEV, payments-zone fees, markets-zone trading fees etc... - Public-chain as a service approach. They have a core scalable foundation and they build primitives on top (like ATLAS or privacy-preserving stuff) that can unlock core use cases for builders on the chain. - Internalize MEV economics (no value leak to third party protocols) - With their cross chain messaging experience, I wouldn't be surprised if they can do cross-chain collateral margin well on their headless exchange ATLAS - Already released details on their post-quantum approach all-in-all I believe each cycle presents the chance to bid a novel L1 and / or exchange. 2020-2021 was ETH & BNB. 2023-2024 was SOL & HYPE. What if 2026-2027 is ZRO & ZRO? game on
Think it will become clearer in the coming weeks that ZRO is one of the most mispriced assets out there. People are overestimating unlocks and underestimating the reality of the partnerships with large financial institutions. ZRO is priced like a failed interop protocol and the rerating will be violent when people realize it's building a top chain + exchange + payment + privacy infra. This industry has too much PTSD with large vc-backed projects which causes everyone to overlook what @PrimordialAA & team have been building. ZRO at $1.6 is the best large-cap asymmetric bet I've seen since HYPE at TGE and SOL at $8.
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Over the last 5 years, I've used every social investing product -- but they all tend to fail in one key spot: Closing the gap between (a) your belief about the world and (b) how to express that belief with stocks. Mike reached out early in the summer and showed me @Supertake, which solves this problem in the most fun way possible: prompt with AI and it constructs a portfolio around your belief. With the declining cost of intelligence, we're going to see much more sophisticated investing styles emerge that was previously reserved only for hedge funds.
Introducing @Supertake, a new platform that transforms your unique takes on the world into real, shareable investment portfolios using frontier AI and trading agents. Supertake makes it easy for anyone to invest in their ideas, even if they know nothing about investing. 1/
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computer use is interesting because it's a self-deprecating capability it's super useful today, because most software was built for humans the more we use agents, the more software will be built for agents not humans, which will eventually make computer use obsolete
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What i especially 🤍 about @LayerZero_Core team is they are in this world (crypto) but not of it.. They don't; beef, sponsor KOLS, shill $ZRO or any of the usual shenanigans to keep themselves in the public eye. In short they don't play the game - consequently no big accounts talk about them or care what they're up to. They do; build in stealth, constantly deliver, publish papers, develop new technology, constantly iterate, make high-level partnerships and lift others up -consequently no big accounts talk about them or care what they're up to. LZ assembles arguably the finest ZK team in the world and CT isn't even aware of it, let alone cares about it, they're too busy walking their followers into traffic on whatever they filled their bags on yesterday or trying to remain relevant via attaching themselves to a hot narrative or delivering a banging tweet. They can't make money or derive clout from championing seriousness or earnestness, so they don't. The cynicism is total, you will hold nothing and you will become rich, (well, about 5% of you will), just keep rotating & extracting faster than the next fool, the greater fool. But god forbid you look for value and/or invest in anything over the medium to long term. Except, it's a fact, that in this space, historically, the most people have made the most money from doing just that. Being early, believing & holding. Even relatively very recently; anything decent at the FTX bottom, Hyperliquid, ZEC, a heap of smaller projects. Which brings me back to LZ. I've done more due dilligence on this project & team than any other since buying equity in @krakenfx in 2019 & similarly i've come to treat accumulating $ZRO as something akin to buying a badly mispriced and misunderstood value stock. Imho it is mispriced for the current business it represents alone (interoperability) & where that sector is heading, (actually think about it), a sector in which they have achieved a virtually monopolistic dominance. And that's before you factor in the launch of ZERO, a 2m tps horizontally scalable L1 built in stealth & partnership, actual partnership, with some of the biggest names in world finance, for which their will be no new coin, all the value accrual mechanisms will be hardcoded to flow to $ZRO a token that by time of launch will be 65-70% vested out. And so many other glaring green flags that set this team/project apart. That said, I'm not going to do anyone's work for them so if you're even vaguely interested then put the time in for yourself but i believe we may be witnessing one of the greatest fumbles in CT history. Although it may require you to hold for a lil bit ,which obviously rules out 98% of people reading this. 🐇
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Prediction: Cold email dies the day agents read the inbox.
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Sam retweeted
Hey y'all, Ledger here. I've been building the new Flip, and today I want to show you. It reads onchain data, let's you follow wallets, track and discover coins, explore liquidity and yield, and more. My love for onchain trading and metrics never went away. That curiosity is what started Flip in the first place, over five years ago. We built a prototype, raised money, built a spectacular product, and then had to shut it down. Great product, wrong timing. A lot of reasonable decisions led to spending too heavily, the burn rate caught us, and all of it into extreme market headwinds. We were one of many such cases. One thing that's changed since then is cost. Onchain data and AI-assisted building have both come a long way. What used to run hundreds of thousands a year can now be done for low thousands per month, and architectural choices pull those costs down further. I've been building with AI for a year outside of crypto (real code delivered to real customers) and what I've learned along the way has helped me build this so far. So I've been scratching my own itch. Track wallets, find coins, explore yield-bearing assets, dig into the metrics per token and per platform. Get notified when something you follow moves; it's a PWA, so save it to your Home Screen. It's read-only right now. Flip never asks for a private key or a seed phrase, and it cannot move your funds. If/when I enable trading features, you'll have plenty of heads up. It's raw and it'll have bugs. I'm self-funding it and it's just me for now. I hate failing, and I've never fully let Flip go in my head or my heart. I'm having fun again. Go explore the trenches. Tell me what you think: love it, hate it, want something else? I'm all ears and I'll be sharing my work @flip_xyz so follow along. Try the new Flip → flip.xyz
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Jev will save the human race. This may seem hyperbolic, but I'm serious. Jev (and the many similar decision models to come) allow us to add safety layers we couldn't last week. It's now cheap and fast to have an outside model validate any tool call before it runs or double check every turn when it ends.
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This is my new shortest “what is Jev” explanation
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