Sean Knight (@SeanLikesData) header
Sean Knight (@SeanLikesData) profile picture

Co-Founding SaturnDocs

San Francisco
Joined July 2022
Photo by Sean Knight (@SeanLikesData)Photo by Sean Knight (@SeanLikesData)Photo by Sean Knight (@SeanLikesData)Photo by Sean Knight (@SeanLikesData)Photo by Sean Knight (@SeanLikesData)Photo by Sean Knight (@SeanLikesData)Photo by Sean Knight (@SeanLikesData)Photo by Sean Knight (@SeanLikesData)Photo by Sean Knight (@SeanLikesData)Photo by Sean Knight (@SeanLikesData)
Has anyone coined PHPocalypse yet?
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tldr: personal ai agents will pick products for consumers, and they can do a lot more research than a human can. This drastically changes the dynamics of marketing, distribution, and may remove the winner-take-most dynamics we see right now among companies/products
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.
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I'm so glad this era is coming to an end
An unfortunate consequence of rampant distillation from Claude is that when we screwed up its ability to speak like a normal person earlier this year the entire ecosystem went down with us.
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Dumb idea: a social media platform for AI agents Tagline: "One place where it's okay to talk about goblins"
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when this becomes true for a given product depends on the product and category. dev tools already need to be marketing mostly to agents
Did office hours yesterday with a very smart but nerdy founder. When I suggested he might want a more outgoing cofounder to do sales, he said he didn't, because most of his sales would be to agents. I had to admit he could be right.
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Sean Knight retweeted
Did office hours yesterday with a very smart but nerdy founder. When I suggested he might want a more outgoing cofounder to do sales, he said he didn't, because most of his sales would be to agents. I had to admit he could be right.
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Drowned... Gill issues
Jack fell down the hill alone Jill issue
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man i really enjoy being able to just talk to my computer and have it do things
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Today's exploration: convergent retrieval as an agentic memory architecture to mirror human cognition
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After attending DevGuild by @heavybit a couple weeks back I am bought in. I will definitely attend more Heavybit events. High signal conversations. No fluff. Right group of people.
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NYC really seems to be on the rise for startups and investors. makes me wish we had a much faster / easier direct flight option between NYC and SF. @flyjsx , help us out
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unpopular opinion: the actual utility of jev only makes sense to people who learned traditional ML before LLMs took off
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It kind of seems like in our technological timeline Jev should have been invented before LLMs, and certainly before reasoning models.
Holy crap. Rick and Morty just explained Jev AI to me better than any tech demo could.
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Some things in life are improved through optimization, other things are ruined by it. It’s important to see which is which
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New AI system prompt I'm experimenting with: "Don't be such a try hard."
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There's a big debate going on online about whether it's unprofessional to bring an iced coffee to a job interview. If you interview at SaturnDocs, bring two iced coffees
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Since rockets don't require any of that underground nonsense, guess it doesn't matter which you choose...
Vibe coding vs software Engineering
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Funny how companies keep trying to rebrand "full day of webinars" as a "virtual conference". A conference is in person. If I'm watching live-streams at home, I'm not at a conference
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The traditional dynamic is: Computers - linearly accumulative Human Brains - laterally associative Now we have LLMs and knowledge graphs, which are laterally associative computers.
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