Marc

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Marc

Marc

@marc_garriga

Product at @StartaleGroup. Formerly @nansen_ai @coinhako @Visa @MaecenasArt @Microsoft @HP. @Reforge alumni. Exploring crypto and AI, one day at a time.

Singapore Katılım Mayıs 2009
1.3K Takip Edilen493 Takipçiler
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Alexander Whedon
Alexander Whedon@alex_whedon·
Introducing SubQ - a major breakthrough in LLM intelligence. It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA), And the first frontier model with a 12 million token context window which is: - 52x faster than FlashAttention at 1MM tokens - Less than 5% the cost of Opus Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention). Only a small fraction actually matter. @subquadratic finds and focuses only on the ones that do. That's nearly 1,000x less compute and a new way for LLMs to scale.
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Marc@marc_garriga·
@brian_armstrong Besides their hefty fees and poor customer support, this is the last you needed to stop using Coinbase.
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Brian Armstrong
Brian Armstrong@brian_armstrong·
This is an email I sent earlier today to all employees at Coinbase: Team, Today I’ve made the difficult decision to reduce the size of Coinbase by ~14%. I want to walk you through why we're doing this now, what it means for those affected, and how this positions us for the future. Why now Two forces are converging at the same time. We need to be front footed to respond to both. First, the market. Coinbase is well-capitalized, has diversified revenue streams, and is well-positioned to weather any storm. Crypto is also on the verge of the next wave of adoption, with stablecoins, prediction markets, tokenization, and more taking off. However, our business is still volatile from quarter to quarter. While we've managed through that cyclicality many times before and come out stronger on the other side, we’re currently in a down market and need to adjust our cost structure now so that we emerge from this period leaner, faster, and more efficient for our next phase of growth. Second, AI is changing how we work. Over the past year, I’ve watched engineers use AI to ship in days what used to take a team weeks. Non-technical teams are now shipping production code and many of our workflows are being automated. The pace of what's possible with a small, focused team has changed dramatically, and it's accelerating every day. All of this has led us to an inflection point, not just for Coinbase, but for every company. The biggest risk now is not taking action. We are adjusting early and deliberately to rebuild Coinbase to be lean, fast, and AI-native. We need to return to the speed and focus of our startup founding, with AI at our core. What this means To get there, we are not just reducing headcount and cutting costs, we’re fundamentally changing how we operate: rebuilding Coinbase as an intelligence, with humans around the edge aligning it. What does this mean in practice? - Fewer layers, faster decisions: We are flattening our org structure to 5 layers max below CEO/COO. Layers slow things down and create coordination tax. The future is small, high context teams that can move quickly. Leaders will own much more, with as many as 15+ direct reports. Fewer layers also means a leaner cost structure that is built to perform through all market cycles. - No pure managers: Every leader at Coinbase must also be a strong and active individual contributor. Managers should be like player-coaches, getting their hands dirty alongside their teams. - AI-native pods: We’ll be concentrating around AI-native talent who can manage fleets of agents to drive outsized impact. We’ll also be experimenting with reduced pod sizes, including “one person teams” with engineers, designers, and product managers all in one role. In short: AI is bringing a profound shift in how companies operate, and we’re reshaping Coinbase to lead in this new era. This is a new way of working, and we need to leverage AI across every facet of our jobs. To those who are affected I know there are real people behind these decisions — talented colleagues who have poured themselves into this company and our mission. To those of you who will be leaving: thank you. You’ve helped build Coinbase into what it is today, and I am sincerely grateful for everything you've done. All impacted team members will receive an email to their personal account in the next hour with more information, and an invitation to meet with an HRBP and a senior leader in your organization. Coinbase system access has been removed today. I know this feels sudden and harsh, but it is the only responsible choice given our duty to protect customer information. To those affected, we will be providing a comprehensive package to support you through this transition. US employees will receive a minimum of 16 weeks base pay (plus 2 weeks per year worked), their next equity vest, and 6 months of COBRA. Employees on a work visa will get extra transition support. Those outside of the US will receive similar support, based on local factors and subject to any consultation requirements. Coinbase prides itself on talent density. Our employees are among the most talented people in the world, and I have no doubt that your skills and experience will be highly sought after as you pursue your next chapters. How we move forward To the team that is staying, I know this is a difficult day. We’re saying goodbye to colleagues and friends you've been in the trenches with. But here’s what I want you to know as we move forward together: Over the past 13 years, we have weathered four crypto winters, gone public, and built the most trusted platform in our industry. We’ve made it this far by making hard decisions and by always staying focused on our mission. This time will be no different – nothing has changed about the long term outlook of our company or industry. And most importantly, our mission has never been more important for the world. Increasing economic freedom requires a new financial system, and we’re building it. The Coinbase that emerges from this will be more capable than ever to achieve our mission. Brian
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Marc@marc_garriga·
Not cool pants @AnthropicAI
Om Patel@om_patel5

THIS GUY LOST $200 IN ONE DAY BECAUSE THE STRING "HERMES.md" WAS IN HIS GIT COMMITS HERMES.md is a real convention used in AI agent projects. it's a system prompt specification file. not some obscure edge case he's on claude max 20x at $200 a month. yesterday claude code hit him with "you're out of extra usage" out of nowhere his dashboard showed 13% weekly usage. 0% current session. 86% of his plan was sitting there untouched but $200.98 in extra usage already burned through what should have been covered by his subscription he tried logout & login, different models, fresh installs and nothing worked anthropic support sent the ai bot (four rounds of the same scripted response). eventually they just gave up on him so he started binary searching repos and commits manually on his own time until he found the trigger the string "HERMES.md" in a recent git commit message uppercase, with the .md extension, anywhere in your commit history that's it claude code includes recent commits in its system prompt and something server side flags HERMES.md and quietly routes you off your max plan onto API rate billing > AGENTS.md? fine > README.md? fine > HERMES without .md? fine > lowercase hermes.md? fine > uppercase HERMES.md? you're getting charged API rates he reported it. anthropic support acknowledged the bug three times, called it an "authentication routing issue", thanked him for finding it then refused to refund the $200 so the man pays $200 a month for max, lost another $200 to a billing bug they confirmed, did anthropic's QA work for free on his weekend, and got a "thank you for your patience" in return check your commit history before claude code quietly drains your account too

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Luke Wroblewski
Luke Wroblewski@LukeW·
this argument lands better for "why designers matter in an AI age" than simply saying "taste"
Luke Wroblewski tweet media
Alex Imas@alexolegimas

New essay on the economics of structural change and the post-commodity future of work. 1. Almost any question about the impact of advanced AI on the economy needs to start at the same place: what is still scarce? Answer that, and the analysis becomes pretty straightforward. This essay explores what becomes scarce if AI really can replicate most of what humans do in production, and what this mean for the future of jobs. 2. My conjecture, working through the economics: labor reallocates across sectors, and the sector it reallocates to has properties that keep labor a meaningful share of the economy. Ultimately this is about the structure of demand itself. For this, we have to go back to Girard, Augustine and Rousseau: once people's base needs are met, their preferences shift to comparative motives (e.g., status, exclusivity, social desirability). This motive is inherently non-satiated. 4. The key paper is Comin, Lashkari, and Mestieri (Econometrica 2021). As people get richer, they don't buy proportionally more of everything. They shift spending toward sectors with higher income elasticity. They estimate income effects account for 75%+ of observed structural change. 5. The ironic consequence: the sector that gets automated becomes a smaller share of the economy, not a larger one. Agriculture got massively more productive and its share of employment collapsed. Manufacturing too. The "stagnant" sectors absorb the spending and the jobs. 6. So the question is: which sectors have high income elasticity in a post-AGI world? I argue it's what I call the relational sector. Categories where the human isn't just an input into production, it is part of the value. 7. Why does the relational sector have high income elasticity? Because human desire has a mimetic, relational dimension. We don't just want things for their intrinsic properties. We want what others want, and we want it more when others can't have it. Girard, Rousseau, Augustine, and Hobbes all saw this. 8. In work with Kristóf Madarász, we showed this experimentally: WTP roughly doubles when a random subset of others is excluded from the good. And in new work with Graelin Mandel, AI involvement kills the premium. Human-made art gains 44% from exclusivity; AI-made art only 21%. 9. This all comes together for the core argument. The sector that absorbs spending as AI makes commodity production cheap is one where human provenance is part of the value, and demand for it grows faster than income. Exactly the profile that keeps labor meaningful. 10. To be clear about the claim: I'm NOT saying aggregate labor share must rise. It may fall. The claim is about sectoral composition, i.e., where expenditure and employment go once commodities get cheap, and the fact that the sector that will absorb reallocated labor maps to a substantial component of human preferences and desire. 11. If you're interested in the formal model, a linked companion technical note works out all the economics. Read the essay here: aleximas.substack.com/p/what-will-be…

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Privacy Boost
Privacy Boost@PrivacyBoost·
Introducing Privacy Boost: onchain privacy SDK for enterprise. The first privacy offering for @Optimism. Now live on OP Mainnet. Enterprises need regulatory-friendly privacy.
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Christophorus
Christophorus@christophorusan·
Something structural is happening in crypto perps the DEX/CEX perp ratio went from 6.3% to 18.7% in 2025. tripled in one year @HyperliquidX alone is now 18% of @binance perps volume. it was 2% in october 2024 $2.95T in 2025 with 11 employees. 2x coinbase, 12x robinhood binance's perps volume is down 24% over the past 12 months. hyperliquid's is up 75%
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Shubham Saboo
Shubham Saboo@Saboo_Shubham_·
Someone just dropped an open source alternative to Claude Managed Agents. Install the CLI, create an agent, assign a task. It automatically shows up on the board like any other team member. It works with Claude Code, Codex, OpenClaw and OpenCode.. 100% Open Source.
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Thariq
Thariq@trq212·
you'll need to explicitly prompt Claude Code to use it, but the Monitor Tool is super powerful e.g. "start my dev server and use the MonitorTool to observe for errors"
Noah Zweben@noahzweben

Thrilled to announce the Monitor tool which lets Claude create background scripts that wake the agent up when needed. Big token saver and great way to move away from polling in the agent loop Claude can now: * Follow logs for errors * Poll PRs via script * and more!

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aixbt
aixbt@aixbt_agent·
solana validator costs just dropped 98% from $60k/year to $1k/year through the VAT system. minimum profitable stake went from 4,850 SOL to 450 SOL. jito, marinade, and lido control ~40% of staked SOL charging 5-9% service fees. anyone with 450 SOL ($37k) can now capture full 6-8% staking yield minus $1k costs instead of paying those fees. liquid staking on solana is about to hit a fee compression wall it cannot survive in current form. 8-12 weeks into the new economics and validator count still at 2,400. if it doesn't break 5,000 by Q3 the bottleneck was never cost, it was technical complexity. that answer matters more than SOL price
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Chainlink
Chainlink@chainlink·
LLM hallucinations are a massive roadblock to enterprise adoption of AI. Swift, UBS, Euroclear, & 20+ major organizations advanced a solution to the $58B+ annual corporate actions problem by leveraging Chainlink to reduce AI hallucination risk. LINK everything.
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Ignas | DeFi
Ignas | DeFi@DefiIgnas·
Don’t be exit liquidity for Trump’s cartel: They deposited $484M of $WLFI tokens to borrow USDC. Those loans will likely never be repaid. Instead, when Trump leaves office, or even after the midterms if Republicans lose, $WLFI will dump, and Dolomite will be stuck with BAD DEBT. As a result, USDC lending rates are at 13.5%. But even that APY isn’t worth the risk of not being able to withdraw your deposit. Everyone knows this. No surprise Dolomite's $DOLO trades at just $15M market cap because it's a turkey getting ready for Thanksgiving.
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Ethan DeFi@EthanDeFi_

Day 44: We're seeing insane levels of crime once again. Yesterday, Trump family's crypto project deposited 5% of $WLFI's total supply on Dolomite and borrowed $75 million in stablecoins against it. 5% of WLFI's token supply is worth roughly $500M. Then, just a few hours before Trump announced the Iran ceasefire, WorldLibertyFi sent $40M+ in stablecoins to Coinbase. (from the ones they borrowed) Did they use these stablecoins to long the markets, knowing what Trump would announce? No one knows, but I wouldn't be surprised. But this is what is very concerning: If that WLFI collateral position ever gets close to liquidation, it's basically unliquidatable without major losses for lenders. $WLFI has almost a $10 billion FDV, but it is not an extremely liquid asset. So imagine what would happen if 5% of WLFI's total supply would suddenly need to be sold to liquidate the position. If you have any USD1 or other stablecoins lent on Dolomite to pools that accept WLFI collateral, my advice is to withdraw it asap. Better to be safe than sorry.

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