peteris erins

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peteris erins

peteris erins

@p_e

Writing about how protocols acquire market power. Founder @auditless. Clients raised $450M+.

Weekly brief for operators → Katılım Kasım 2009
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peteris erins
peteris erins@p_e·
We started collaborating with the @UniswapFND in late 2023. At the time, @unichain wasn't even a project. It's amazing to see @unichain reach $1B in TVL and become the place where teams like @euler and @renzoai go to design net new protocols. Time to share more about our grant. ↓
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I'm increasingly convinced – we will sooner achieve AGI from AI dumbing us down than outsmarting us.
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Paul Graham
Paul Graham@paulg·
@romlib_ Crypto is a legit and indeed inevitable technology. Usually such things are net positive.
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Georgios Konstantopoulos
Open Sourcing Centaur: Multiplayer, self-hosted, secure agents for Slack. Centaur has been transforming how @paradigm and @tempo invest, build and research. Now you can run it yourself on infrastructure you control. Instructions below.
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A little look at coding capabilities from 2020. To be honest, looking back – 6-years is a long time and I think we have a lot of agency on what to do with the current models before it gets even crazier again.
peteris erins@p_e

Messing around with smart contracts and #gpt3 - a thread. Warning: any code has not been audited and is in no way endorsed by myself or @auditless. Let the fun begin:

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Jason Fried
Jason Fried@jasonfried·
Bragging about how much software you’re shipping with AI is like holding down the shutter button and bragging about how many photos you took.
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As I'm exploring video workflows, tried the new personalized v8 Midjourney model, Nano Banana and they truly can't compare with GPT Images 2.0. Still, even with GPT Images 2.0, there's a lot of skill involved in getting what you want. Guess which is which.
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FORMA
FORMA@formacity·
Introducing Forma Bristol Our first ever popup village in the UK And the permanent home for our new campus
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peteris erins@p_e·
When working on something with AI, you should ask what artifact to iterate on. If you are working on software should you iterate on the spec document or the code itself or just the app directly? If you are working on a website, should you be prototyping in Figma? Copywriting in Notion or building it directly? It's tempting to move closer to the end-deliverable but it runs the risk of never creating something unique by stressing our own abilities. To do higher quality work it's OK to step back and follow a more traditional process, moving for AI only to accelerate research & implementation.
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peteris erins@p_e·
Pretty interesting findings: + GPT images 2.0 destroys other image models on benchmarks + however, final images still lack production-ready polish That means that if you create a purely automated GPT images 2.0 pipeline, the details will likely be off. Unfortunately, because the model doesn't produce a layered artifact, I'm also not sure how easy it is to come in and make those tweaks. Huge edge here for people who will figure out the right workflow, I'll be experimenting heavily with image models for our recurring assets.
ben@contraben

We benchmarked @openai’s ChatGPT Images 2.0 against the top image models. It won everything. Then we asked the harder question: can brand designers really ship with it? Here's where the model breaks.

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peteris erins@p_e·
"The mental load of supervising agents is different from the mental load of doing the work yourself." Huge. I think it's a bigger issue if you don't dedicate decent focused time on deep cognitive activities like reading, thinking, writing. "Creativity debt" is a thing.
GREG ISENBERG@gregisenberg

My 30+ observations on the greatest opportunities in AI agents right now: And some ideas that are keeping me up at night. 1. The new buyer on the internet is an AI agent. Imagine billions of new customers showing up with money to spend but they only shop via MCP. That's what's happening. No MCP server means you're invisible to the fastest growing buyer on the internet. 2. Every franchise system in America (30,000+) needs an agent layer and none of them have one. One founder per franchise vertical. That's 30,000 businesses waiting. 3. Everyone said "distribution is the only moat" a year ago. Now I'd add that the only moat is distribution plus memory. The company that has your audience AND your agent's accumulated context is impossible to leave. 4. Consumer mobile is more interesting than it's been since 2012. Apps can finally DO things for you instead of showing you things. The next wave of $100M apps are being built right now. 5. The most interesting startup nobody has built is an agent marketplace where you rent access to someone else's trained agent. A recruiter spent 6 months training a sourcing agent on healthcare hiring. That agent is worth renting to every other healthcare recruiter on earth. The agent itself becomes the product. 6. A sorta strange phenomenon that's happening right now is agents are developing preferences. Give the same agent the same task 100 times and it starts developing patterns in how it approaches it. Nobody is studying this yet. But the agents that develop good patterns are worth more than the ones that don't. That's a new kind of asset. 7. Dead internet theory is about to become dead SaaS theory. Half the apps you use will quietly replace their support team, their onboarding team, and their content team with agents. You won't notice for months. Then you'll realize you haven't talked to a human at that company in a year. 8. The most valuable data in the world right now is sitting in the support tickets of small or mid tier SaaS companies. Every ticket is a customer telling you exactly what to build next. Mine this. 9. The most interesting pricing problem nobody has solved is how do you price a product when your costs change every time OpenAI or Anthropic updates their model pricing? Your margins can swing 40% overnight based on a decision made in San Francisco. The company that builds dynamic pricing infrastructure for agent-based businesses solves a problem every AI company has. 10. The best AI products feel like they're reading your mind. The worst ones feel like filling out a form with extra steps. 11. An interesting arbitrage I've noticed lately is hiring a human VA for $20/hour to supervise an AI agent that does $200/hour work. The human just checks the output. 12. The managed AI agent business is becoming the new agency model. $5k/month per client. You build it, run it, maintain it. The client gets a digital employee they never have to think about. This will be a $50 B+ category. 13. The first "shadow agent" scandals are about to drop. Employees running personal agents on company infrastructure without telling anyone. Using company API keys. Agents accessing internal docs. IT departments have little visibility into this right now. Lots of opportunity to build companies here. Definitely a painkiller not a vitamin type of business. 14. Right now there are probably millions of agents running on autopilot that their creators forgot about. Still burning tokens. Still sending emails. Still scraping websites. Still costing money. The "find and kill your zombie agents" tool is a product that writes itself. 15. Companies are starting to hire based on someone's agent portfolio instead of their resume. "Show me 3 agents you built that are running right now." It's REALLY early but it's starting. 16. Your Slack archive is a product. Every company's internal Slack has thousands of messages explaining how they actually do things. The company that lets you point an agent at your Slack history and auto-generate SOPs and agents from it will be enormous. 17. We're watching the cost of intelligence fall faster than the cost of distribution. Which means distribution is now the expensive thing. 18. The most underrated asset a human can have in 2026: the ability to sit in a room with another human, make eye contact, and have a real conversation. As AI handles more of the transactional stuff, the humans who can do the relational stuff become disproportionately valuable. The soft skills people used to dismiss as fluffy are becoming the hard skills. The hard skills people spent decades acquiring are becoming the soft ones. 19. There are MANY huge companies to be built around the fact that most people's agents are running on their personal laptops which they also use to browse the internet, check email, and download random files. The attack surface is enormous. One compromised Chrome extension and your agent's API keys, customer data, and workflows are exposed. 20. There's a new type of burnout forming that doesn't have a name. It's not from working too hard. It's from context switching between human work and agent work 50 times a day. Reviewing agent output, correcting it, approving it, reviewing again. The mental load of supervising agents is different from the mental load of doing the work yourself. Some founders are telling me they were less tired when they did everything manually because at least the cognitive pattern was consistent. 21. The cheapest form of market research: search "[your industry] spreadsheet template" on Google. Whatever people are tracking manually is your product. 22. Half the YC companies pivoted within 8 weeks of demo day. Not because they failed. Because agents let them test 5 ideas in the time it used to take to test one. The concept of "committing to an idea" is dissolving. Serial pivoting is becoming the default because 1) AI lets you move fast 2) the world is moving fast. 23. The loneliest job in tech right now is being the only person at your company who understands what the agents are doing. You can't explain it to your boss. You can't hand it off to a colleague. If you leave, everything breaks. You've become a single point of failure for an entire automated system. That person needs a title, a team, and a backup plan. Most companies haven't figured this out yet. 24. Your browser history is the most valuable training data you own and you're giving it away for free. Every site you visit, every product you research, every competitor you study, every pricing page you screenshot. That behavioral data, structured and fed to an agent, would make it understand your business better than any onboarding call. The company that lets you turn your browser history into agent context builds something nobody can replicate. 25. Everyone is building AI wrappers. Nobody is building AI unwrappers. The tool that takes an AI-generated document and tells you which parts a human wrote and which parts were generated. 26. Stripe just became the most important company in the agent economy and they barely had to do anything. Every agent that sells something needs Stripe. Every agent that buys something needs Stripe. They're the payment rail for the entire agentic internet by default. 27. The most undervalued API in the world right now is the US Postal Service address verification API. It's practically free. Every local business lead gen agent needs it. Every real estate agent needs it. Every direct mail agent needs it. Boring government infrastructure is quietly becoming the backbone of agent-native businesses. 28. The concept of "business hours" is for humans. Your agent closed a deal in Tokyo at 3am, processed the payment, sent the onboarding email, and updated the CRM before your alarm went off. 29. What happens when agents start recommending other agents? Your research agent finds that a competitor's sales agent is better and suggests you switch. Agent referral networks are forming organically. The first agent affiliate program is probably 6 months away. 30. Cal dotcom closed their source code. That's the canary. When open source companies start closing up, it means agents were cloning their product too easily. Every open source company is quietly asking the same question right now. 31. "AI for pet groomers" sounds like a joke and that's exactly why it will work. 150,000 of them in America. Zero tech. All scheduling by phone or IG DMs. The joke ideas always win. 32. The thing that will seem most obvious in hindsight: we spent 2025-2026 arguing about which model is best while the entire value was in the orchestration layer. The model is the CPU. Nobody buys a computer based on the CPU anymore. They buy it based on what they can do with it. Makes so much sense in hindsight. What else will be obvious in hindsight? I'll share more notes soon. I can't sleep with all that's going on. Maybe you too. What an incredible time to be building.

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Megan Gafford
Megan Gafford@megan_gafford·
I was recently awarded a New Aesthetics grant from @patrickc and @tylercowen to try to invent a new ornamental style of architecture. I’m going to do this through drawing, because just as writing is thinking, drawing is imagining. You might invent something new when you sit down to solve the problem of what your version of a thing should look like. Link to my full project description below 👇
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peteris erins@p_e·
AI information cascades are eroding quality. Case in point: Pinterest becoming unusable since you can't tell what is AI generated and what isn't. – it's not that I don't want to look at AI generated images, it's that I want to look at both for different reasons. + Real photography The real world is the ultimate anchor (even when presented through a filtered perspective). It obeys the laws of physics, it is logical and each image carries an inordinate amount of information. It's also most comfortable to process visually. + AI photography AI photography is like observing a vector space. I'm more interested in these for the style & workflow, not the subject. The value is in identifying happy accidents and reverse engineering the process. Of course you can eventually tell both apart but it is a cognitive load. Soon you'll likely go to Pinterest assuming it's mostly AI and somewhere else for real photography (where?). (P.S. I know they they have an AI-generated label when you click on the image but it's too late in the process, the cognitive tax is already paid at that point)
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peteris erins@p_e·
We recently did a complete revamp of the @auditless research portal. One-stop shop for crypto Founders/operators, covering Protocols, Rollups, Trends, etc. Check it out: research.auditless.com
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peteris erins@p_e·
The crypto industry pretended that problem-solution narratives don't apply to it for too long. Turns out crypto rails are phenomenal invisible infrastructure to reduce transaction costs for fintechs. The current discourse around agents using blockchains is making the same mistake. If you need to "envision a world in which", maybe you should envision the problem instead.
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peteris erins@p_e·
It should become criminal to share your LLM outputs for another person to review.
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peteris erins@p_e·
It's somewhat paradoxical that while AI makes it easier to get things across the line, we all feel like we have less time than ever. All of a sudden, you can do that side project, you can use AI to help your information diet, or help you sort through meal plans or whatever. But you still can't do it all. Before, you had other bottlenecks like access to information, the time it would take to learn something, waiting for other people to do things. Now you are the bottleneck all the time.
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