Father of four humans and a million agents. Only one group listens.

nyc
Joined March 2013
Pinned Tweet
lil cloudy is back couldn’t let LGTM song to go unanswered
2
1
2
6
432
muse + muse wonder built this store you can source artisinal graphic tees from the world cop a few and thank muse for the fit 🙏
watched Zuck and @alexandr_wang on Cheeky Pint. fun episode, recommend. i like picking random ideas to test new models and agents on, so this time i thought I make a store for most obscure t-shirts (inspired by @alexandr_wang) had a Guinness myself the next day too. anyway, wangtees. for fun, no profit wangtees.com
46
20
2
303
45,987
watched Zuck and @alexandr_wang on Cheeky Pint. fun episode, recommend. i like picking random ideas to test new models and agents on, so this time i thought I make a store for most obscure t-shirts (inspired by @alexandr_wang) had a Guinness myself the next day too. anyway, wangtees. for fun, no profit wangtees.com
6
7
1
61
52,829
the brief for Muse: keep finding the most obscure t-shirts available through Shopify Catalog via UCP real cafés, farms, butchers, bars. the sort of places you'd never think to look for a shirt new finds come back for review before they go live
1
937
wangtees.com pick three shirts, make a card and compare taste buyers check out with the original merchants. couldn't get a single checkout across shops working yet with @Shopify MCP. cc @tobi @igrigorik the bit that started this (0:47): youtube.com/watch?v=XfdIhd1g…
1
693
robpoz retweeted
Your job is to eat the pain. @aarondfrancis taught us all that pain doesn't disappear. Someone eats the pain. The questions is "Who will eat it? You or your customer?" Or as Aaron put it, "Be the sin eater."
20
49
27
560
92,079
Emil goes to @OpenAI ?
This is my last week at Linear. It was a privilege to work with such a talented team for the last two years. Here are a few of my favorite things I helped create during my time here:
1
1
269
can’t spell trust without rust
1
2
97
that was fun. as always, lyrics/concepts by me, suno on music, opus + astra on video
62
robpoz retweeted
Remek is currently working on a decision model (i.e. "system one" model, similar to Jev / OpenAI's Decisions API) and he's currently ranked #1 in open weights (#2 overall!) on JevBench, essentially beating almost every commercially released product, including Jev itself that went viral some time ago what's even crazier is that he's working on it alone, as an after-hours side project, he started a few (two?) weeks ago and he's paying for compute out of his own pocket
basal-omni 🇵🇱 - TOP1 🤩🤩🤩 🌍 na świecie w modelach otwartych oraz TOP2 wśród zamkniętych i otwartych Wg niezależnego benchmarku modeli system-one gdzie testowane są wszystkjie modele na świecie - JevBench (link do bencha w pierwszym wpisie). Czyli można? Można! Polskie AI 🇵🇱 basal wyprzedził model OpenAI, Microsoft oraz pierwowzór z TypeSafe (jev). Thank you, @airesearch12 , for the independent evaluation on JevBench.
15
42
2
630
16,824
same boat
🗞️ how I use @bot ghuntley.com/bot/ disclosure: @poteto hooked me up with enough credits to enable me to revisit/rethink my priors about the utility of personal assistants.
74
TASTE how can I get one?
1
53
so great to see more founders/tech leaders with many children professional success, family are often placed with OR in between it should always be AND great example for younger folks @rauchg !
Part of the fam backstage 😁
65
Assorted things I've been mulling over regarding agents in the economy: • Companies are in some sense the original superintelligence. It's often the case that they can use their amortized cognitive surplus to advance their interests against those of certain consumers: relative to the optimization capacity of companies, consumers can be inattentive, underinformed, irrational, etc. (Think, say, of some of the classic insurance upsells at the end of a booking process, which is typically priced substantially above what a regular policy would cost.) Herbert Simon introduced the idea of bounded rationality, and firms often end up benefiting from it. Thanks to personal agents, we will probably get somewhat more rational in how we engage with companies. • How exactly will outcomes change? Well, certain kinds of price discrimination will work less well (how do coupons work if every agent hunts fastidiously for them?), and certain kinds of customer cross-subsidy will change (today, people who forget to cancel subscriptions subsidize those who don't). Taken across the economy as a whole, I'm not sure what the incidence of all of this will be. • In corporate strategy, people have long debated the relative importance of distribution and product quality. Perhaps you've made something better, but does anyone know about it? Won't people just continue to buy the ACME Corp Mousetraps? Personal agents will, I think, act as a kind of structural subsidy for product quality. How would markets look different if individuals always spent at least 10 hours researching their purchases? On the margin, focusing on making a product better is, I think, going to become a more effective strategy for companies. This is good! • It true, a corollary is that information about product quality will become more important and impactful. Today, most people have very limited ability to aggregate and integrate such data, but agents will have insatiable thirst for such signals. (It's often said that data is becoming more valuable because it helps in the training of models. That's obviously true, but I think there's a secondary way in which it's more valuable simply as a complement to cheaper intelligence.) • A big question is whether agents will increase superstar effects (rational agents all settle on the same product) or increase dispersion (because everyone has slightly different tastes and preferences, which agents are good at eliciting, finally overcoming the artificial clustering we've been subjected to). • Many internet companies have monetized demand routing, which is in turn often predicated on short attention spans. "I'll click on the first thing I see." This has led to some amount of inefficiency, as companies try to propitiate capricious ranking algorithms and incur various placement fees. It's not all deadweight loss (willingness to pay is itself a kind of signal, which is valuable to buyers), but it's not great. How will the nature and value of this routing change in a world of personal agents? I don't know the answer, but I think that the effects might be pretty big. • Much of what I'm writing hinges on the assumption that personal agents will be on the consumer's side. I suspect that that will be the winning strategy, but whether it's true, and what it means to be true, involves a lot of other questions. Taken as a whole, the market is a massively parallelized, decentralized, and highly imperfect value attribution machine, and, taking stock of all of the effects, it seems to me that the quality point may well be the biggest: that agents will change the nature of the backpropagation such that the rewards for better products increase. Maybe this is too optimistic, but I suspect (and hope) that companies that make things that they're proud of will feel that the universe is a little more partisan in their favor.
492
1,026
454
9,622
1,722,275
Cloudflare is an infrastructure company. In 2026 that means the best place to run code and the best tools to build and ship it. Agents are writing more of the code every month. Someone still has to make it build and run. This has been a big year of investment to make us even better. We added @evanyou wrote Vue and Vite and @rough__sea wrote Node.js, then Deno. Helping to make “Deploy to Region: Earth.” the agent default.
26
47
5
698
39,358
my dot disappeared and can't be found neither on desktop neither on mobile It happened right after logoout/login ; and yeah, restart/upgrade didn't help @thsottiaux @OpenAIDevs
1
72