Eugene 💳🤖 (@eugeneontech) header
Eugene 💳🤖 (@eugeneontech) profile picture

Tech entrepreneur👨🏻‍💻 building AI-powered payment solutions @Paggaapp

New York, NY
Joined January 2021
Photo by Eugene 💳🤖 (@eugeneontech)Photo by Eugene 💳🤖 (@eugeneontech)Photo by Eugene 💳🤖 (@eugeneontech)Photo by Eugene 💳🤖 (@eugeneontech)Photo by Eugene 💳🤖 (@eugeneontech)Photo by Eugene 💳🤖 (@eugeneontech)Photo by Eugene 💳🤖 (@eugeneontech)Photo by Eugene 💳🤖 (@eugeneontech)Photo by Eugene 💳🤖 (@eugeneontech)
Eugene 💳🤖 retweeted
JENSEN! THATS NOT WHAT WE MEANT BY CHINESE MODELS!!!!!!!
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Eugene 💳🤖 retweeted
Two things I’ve been thinking about regarding AI: • People often highlight the risks involved in AI, which are surely very real. I’m struck, however, by how hard it is to understand the contours of the positive scenario. There are easy-to-perceive and frequently invoked elements of a positive vision — more diseases cured, more material abundance, etc. — which sound great, but these are by themselves just ingredients. I’m curious what the larger equilibrium is supposed to look like. Do people work? If so, why? What is their marginal contribution? If not, how are resources allocated? What is scarce? What is the ratio between humans and AIs? Are humans in control, whatever that means? One sometimes hears the Culture novels invoked as one scenario, but I’m not sure they depict a desirable outcome. (AI runs everything and humans compete in games? Iain Banks himself said that the humans in the Culture are “somewhere between passengers, pets and parasites.”) There is Richard Brautigan’s famous poem, but do we want to be “returned to our mammal brothers and sisters”? (Isn’t that rewinding Genesis?) We could say that it was hard to imagine the world of 1900 from the vantage point of 1700, and that’s assuredly true. But nobody in 1700 was trying to recast humanity itself within a couple of years — things necessarily unfolded slowly and by increments, and therefore with the possibility for error correction. Given how rapid the rate of progress in AI may be, it feels strange for the upside case to be so opaque. • There is increasing discussion of whether AIs are conscious or how we would know whether they are, with conclusions there often assumed to be relevant to matters of moral worth. At first blush, this seems a rather arcane, benign, or even absurd issue. (Remember the response to Blake Lemoine’s fears.) Setting aside the terms of the debate itself, or the relevant demarcation criteria, it seems to me a quite high-stakes question, for an affirmative answer — that is, granting moral worth to AIs — would presumably mean that the aggregate worth of AIs would soon outweigh that of humans in any utilitarian calculus. The AIs will be exceptionally wise and intelligent, and vastly more numerous (especially once one considers the imminent future and the AIs not yet born). As such, even epsilon of moral worth will multiply to a lot once one considers the quadrillions that could soon exist. (This is effectively a distributed version of the Nozick’s utility monster.) If this conclusion is unpalatable, I think one of three propositions needs to be rejected: the premise AIs can have moral worth; utilitarianism itself; or the belief that there is even a possibility that they will be far more numerous than humans. With both of these matters (contours of future society; AI moral worth), there is the possibility of dramatic change. Today, people argue about datacenters. I’m curious how popular support for AI will evolve as more people come to understand these medium-term questions and the relevant stakes. What is the vision for AI that most people would be excited about?
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Eugene 💳🤖 retweeted
More countries will start to realize that issuing a local stablecoin increases demand for their currency, and in-turn their government bonds. USD have a huge lead already.
JUST IN: @HSBC’s Hong Kong dollar stablecoin RedCoin hits 50,000 users in its first week, with HK$87.75M in circulation and plans to expand beyond PayMe to tokenized investment products.
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Eugene 💳🤖 retweeted
Meta has stopped accepting cards from another issuer. This week, some advertisers paying for @Meta Ads with cards from neobank @slashapp lost access to their ad accounts: Meta stopped accepting part of Slash's credit BINs. Slash confirmed the incident in a message to clients and says 95% of affected users are already back up, with a working fix being a debit BIN or paying invoices via ACH. Meta hasn't given a reason. But the scale is notable: according to Slash's CEO, almost 2% of all Meta ads are purchased with Slash cards, and about $4B a year runs through the company's credit cards. The more interesting part: Slash itself says this isn't a one-off but a consequence of changes Meta is rolling out gradually, and expects other providers to be affected too (no issues at other providers spotted so far). That lines up with what we saw in April, when Meta moved large advertisers off cards and onto invoicing and direct debit. The takeaway for fintech is simple: if your card product depends on a single merchant, the risk doesn't live with you - it lives in their policy. And large B2B billing is leaving card rails for direct ones - ACH, debit, and next, stablecoins.
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Eugene 💳🤖 retweeted
Can someone explain why this "uninvestable" category of founders has grown 50% since 2019?
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Eugene 💳🤖 retweeted
At @ycombinator, we're excited to fund more crypto startups solving financial needs including AI capital raising, stablecoins, trading, and agents. Here's our latest crypto request for startups. Our next application deadline is Monday.
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Eugene 💳🤖 retweeted
Have to give the EU regulators credit where it’s due for making all Apple products use USB-C
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Eugene 💳🤖 retweeted
Token 2049 was nonstop. But the real building? It happens when you're locked in. And if you're really going to lock in, you need the right environment to do it in. Prepare for this winter. The MTN awaits you. Countdown to February: 105 DAYS
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Eugene 💳🤖 retweeted
Poppi's founders just learned the most expensive lesson in M&A! When they sold to PepsiCo, the deal was for $1.9B plus a $300M earnout (a future contingent payment based on the performance of the brand for some period after closing). And PepsiCo just announced that it is valuing that $300M at a “paltry” $12M. That stings! I've negotiated a lot of earnouts in my career. Here's what most sellers don't understand until it's too late: 1. An earnout is a future bet on a business you no longer control. After closing, the buyer sets budget, pricing, hiring, marketing, etc. Every lever behind whether or not you get your earnout belongs to someone else. 2. The incentives can flip the day you close if you’re not careful. As a seller, you want to do everything to hit the targets. But as the buyer, you pay less if they're missed. Ideally, the earnout is structured so that both parties win or lose together. If performance tanks, the buyer earns less overall so it pays less to the seller. If performance improves, the buyer earns more so it pays more to the seller. Incentives are aligned. What you absolutely cannot allow to happen is an earnout structured so that performance can improve allowing the buyer to earn more, but still pay less to the seller. How on earth could that happen? I'm so glad you asked... 3. The accounting decides the outcome. How you define "revenue", "EBITDA" or any other measurement metric used to determine the earnout is what ultimately drives the payout. So things like how corporate overhead gets allocated or what happens when the Seller’s product is folded into a larger brand with competing products becomes unbelievably important. Again, remember the incentives. With a poorly structured earnout, a company like PepsiCo could be incentivized to buy a brand like Poppi and purposely underinvest in the brand in order to eliminate a key competitor to its other products. So PepsiCo could earn more by driving more revenue to products other than Poppi, while simultaneously reducing the earnout payable to Poppi because Poppi's direct performance declines. PepsiCo wins -> Poppi loses. Sellers have to be very careful about how the accounting for the earnout is defined and whether it causes misaligned incentives. 4. The reasons above are why earnouts are among the most litigated terms in M&A. Sellers often sue buyers claiming the buyer sandbagged performance. And Buyers defend by saying “The contract gave us full discretion." Courts will generally enforce whatever terms the parties agreed to in writing, so an argument that Buyer acted in “bad faith" rarely saves a seller who didn't negotiate adequate protections. 5. If you agree to an earnout, protect it at all costs! > Tie it to metrics like revenue, which are subject to less manipulation than metrics like Adjusted EBITDA. > Include strict operating covenants around things like required budget, sales support, and no diverting customers to other products or business lines. > Push for audit rights and a dispute mechanism. > Demand acceleration of the earnout if the buyer or product line is sold, merged, shut down, or deprioritized. > Keep the measurement period short! The longer the period, the more opportunity it gives a Buyer to game the system. To be transparent, I don’t have any background into what happened here. I have no idea if the earnout was poorly structured or if PepsiCo acted in a way to purposely reduce the earnout. That's not the point of this post. What I do know is that a $300M earnout that is written down to $12M is a tale as old as time and almost certainly to end up in litigation. And even if not the case in this particular instance, in most cases where this happens, there's often things that could have been done in the transaction documents to avoid it. My advice to every seller I represent who is considering agreeing to an earnout is simple: Value the deal based on cash at close and treat the earnout as a bonus. If you get it, great. But don’t count on it!
Pepsi paid $2bn for Poppi and now says it won't pay the $300m earnout. Everyone's acting surprised. What happens when a giant buys a challenger brand, with the receipts: - Honest Tea, Odwalla, Zico: all bought by Coke, all discontinued. Zico's founder bought it back. - Bai: Dr Pepper paid $1.7bn, wrote most of it down. - Bodyarmor: Coke paid $5.6bn, took a $760m impairment three years later. - Rockstar: Pepsi paid $3.85bn, has lost share every year since. - Freshly: Nestlé paid $1.5bn, shut it within three years. - Dollar Shave Club: Unilever paid $1bn, sold it for a fraction seven years later. - Bonobos: Walmart paid $310m, sold for $75m. - Mirror: Lululemon paid $500m, wrote it off and shut it. - Ballast Point: Constellation paid $1bn, sold for pocket change four years on. - Reebok: Adidas paid $3.8bn, sold for $2.5bn fifteen years later. - Snapple: Quaker paid $1.7bn in 1994, sold for $300m in 1997. The original. The pattern isn't bad luck. The brand was bought to protect the original and core portfolio, not to grow. Once it's off the market, the job is done. If you ever sell to one of these: the cash on day one is the price. Everything else is a promise from someone who is incentivized is not to keep it.
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Eugene 💳🤖 retweeted
Wallet Wars: Agents need payment credentials as they become the new UX for $7T in ecommerce. Enter the Wallet Wars and why the AOL-era of agentic commerce will give way to open standards.
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The internet’s business model was built around people: attention, ads, subscriptions and checkout. AI agents are changing that. They can retrieve and use content without sending a human reader back to the publisher. That raises a real question for creators, publishers and developers: how can they get paid when an agent uses their work, sometimes for a fraction of a cent? Our new Coinbase Institute @CoinbaseCBI paper, "Machine-to-machine payments in the AiFi era," examines why existing payment rails often struggle with high-velocity microtransactions—and why stablecoins on low-cost networks are a strong fit today. The policy goal should be an open, interoperable payment layer, with safeguards that match the risks—not closed marketplaces that decide who can participate.
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Eugene 💳🤖 retweeted
Amazing. These researchers found that there's a spike in Bitcoin activity around the time foreign aid money goes out. Somewhere between 2 and 6 cents of every dollar of World Bank foreign aid disbursements got siphoned off into crypto wallets:
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Eugene 💳🤖 retweeted
Are you missing the energy yet? Fall rages on. The leaves are turning. But the mountain? It doesn’t sleep. MTNeers are around the world right now: Seoul. Singaore. And soon: London.
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Eugene 💳🤖 retweeted
Coolest x402 CMS (from @Cloudflare)
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Eugene 💳🤖 retweeted
BlackRock’s latest paper highlights x402 as open infrastructure for the machine-native economy. Agents paying for data, tools, and compute on demand, with a citation to the OG x402 whitepaper. blackrock.com/us/individual/…
Our latest research paper explores the growing connection between AI and digital assets and explains why broad AI adoption may drive new demand, utility and applications across the digital asset economy. blackrock.com/us/individual/…
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Eugene 💳🤖 retweeted
Apparently “fighting for your startup” wasn’t a metaphor. Colosseum, round 4 ⚔️ in the name of @SuperteamBLKN 🇷🇸 & @SuperteamUSA 🇺🇸
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Eugene 💳🤖 retweeted
Very interesting guy to follow @scottbrills #1 traveler on my site with 2,162,433 km traveled, 94 countries and 702 cities visited (!) Absolutely crazy and his timeline is full of crazy travel stories
Looks like other people's claims that I've been one of the most traveled people they know are backed up, at least on one website. 😂
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Eugene 💳🤖 retweeted
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution
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Eugene 💳🤖 retweeted
BREAKING: @SECGov Chairman Paul Atkins to deliver a keynote address at the @Solana Summit in Washington, D.C., on Sept. 14.
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Eugene 💳🤖 retweeted
Today on the @EcosystemCall our agent @SelfMadebySP3ND was mentioned for it’s $40k in fees generated, with ~$20k of GPUs bought with USDC over @x402
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