Founder @Product__People & Founding Partner at Lightcone Capital

Berlin
Joined May 2011
Mirela Mus retweeted
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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Just got a small home sauna. Will measure impact on my RHR, HRV and deep sleep via @ouraring & @eightsleep
sauna is great everything you need to know... 0. sauna is a top longevity therapy 1. dry sauna is best 2. wet & Infrared saunas lack longevity evidence 3. aim to do 4-7 sessions per week 4. the body takes time to acclimate to sauna 5. expect sleep & HRV to be wrecked in first 2 weeks 6. after workouts is ideal 7. avoid polyester clothing & towels 8. wear as little as possible & 100% cotton 9. heat wrecks male fertility 10. men should ice their balls 11. women don’t need ice 12. wear a sauna hat to avoid hair/scalp irritation 13. 11 min @ 176°F (80ºC) is when benefits start 14. 20 min @ 195°F (90.5ºC) is ideal 15. pro move: core body temp to 102.2°F (39ºC)  16. this takes me 34 minutes @ 200°F (93ºC) 17. be careful, that’s hot as hell & not necessary 18. don’t cold plunge after 19. never sauna dehydrated 20. drink electrolytes before and after 21. sauna’s good for muscle recovery 22. it may remove microplastics from body 23. don’t water rocks, avoid aerosolizing contaminants 24. measure the air quality in your sauna (if you can) 25. remove potentially toxic materials from your sauna 26. sauna with a friend creates joy
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Mirela Mus retweeted
i gave 5.6 sol access to my camera roll and had it extract pictures of every piece of clothing i own from my photos then, told it to find new outfits for me and render them on me with gpt-image! its kinda cool to see your entire wardrobe in a collection like this
i'd love to see interesting things people have built with 5.6 sol. i will send the person who made the coolest thing a special gift from the openai archives.
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This concept changed my brain chemistry entirely. Every time I’m anxious I just keep repeating “don’t suffer twice” cuz literally why the fuck would I do that
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Similar to Scott Galloway’s advice “it’s the boring stuff that’ll make you rich” and “the greatest return on investor capital is inversely correlated with how sexy something is.”
This is a critical post to read if you’re building an applied AI company right now. “An application earns its place in the untrainable corner by doing unglamorous work: arranging a company's private reality so a model can act on it, handing the model the tools to act, working with the customer to change the reality of its workforce. A company that brings the translation is tough to copy – and the translation never ends. Integration and maintenance run as long as the relationship does, won by teams that put domain-specialized engineers and tools next to the customer.” There’s still an insanely large gulf between model capabilities and what it takes to apply them to specific corporate workflows. Some of that is technology that needs to be built, a lot is access to (and formatting of) the right data to work with, and a ton more is on the change management and specific implementation work (FDEs, etc.) it takes to make AI work in any specific corporate setting. 2 things can be very true at once: frontier models and labs will continue to grow an incredible amount, and there will be a vast ecosystem of software and services companies that emerge to bring the power of these models to real enterprises. This makes room for new infrastructure provides, applied AI companies in every vertical, new versions of system integrators, and more players. Incredibly exciting time on all fronts.
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I’ve asked Fable about a prescription medication product and under which brands it’s available in Germany. It automatically switched to Opus 4.8 with a safety message.
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Comparing @ouraring 5 vs 4 in brushed silver size six. Love the new form factor. excited to see if the promise of the 7-day battery holds up 🤞Glad that @Product__People’s work for our health/medtech clients and supporting @thelongevity_pr gives me an extra incentive to test it. – at Berlin, Germany
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"‘the airport effect’ – that constant low-level anxiety you experience at airports by knowing that any deviation from imposed rules – from an overweight cabin bag to a misheard announcement – can spiral into a nightmare." spectator.com/article/the-ai…
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If you were looking for a sign to visit Berlin in the last week of May this is it 🔥 I'll be speaking at @uxdxconf 27.05-28.05 and at Life Summit 29.05-20.05.2026 lifesummit.berlin/ cc @Product__People
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Consistently sleeping well is my biggest "life hack". Wrote what I've tried and tested in the last 1.5 years including supplements, meds, Cognitive Behavioral Therapy for Insomnia (CBT-I) at @thelongevity_pr, @eightsleep & more. Measured with @ouraring. mirelamus.substack.com/p/my-…
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Who owns AI in your company?
20%Product (CPO)
20%Engineering (CTO)
0%AI Team reports to CEO
60%Nobody
5 votes • Final results
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Mirela Mus retweeted
Claude can now securely connect to your health data. Four new integrations are now available in beta: Apple Health (iOS), Health Connect (Android), HealthEx, and Function Health.
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My yearly reminder to all founders as you go build that next Google/MSFT/Salesforce killer app in 2026: when distribution is proprietary, distribution wins (Comcast vs Netflix), when distribution is commoditized, best product wins (chrome vs IE), when product is commoditized, best service wins (Amazon vs others), when service is commoditized, best network wins.
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Yearly renewals are the time of the year where SAAS companies play "Dormammu, I've Come To Bargain" with their clients while disagreeing which one of them is Dr. Strange. 🪄
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Replying to @TruthBrosHQ
Doesn’t have to be significant but a few examples that are signs but people consider normal: - hangovers are much worse - number of people wearing glasses is growing in that age group - medicine use increases - and well mortality increases with age roughly 1.5-2x higher in the late 30s than early 20s.
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What life is like for the algorithm team
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It's hard to oversell how big a discovery this is. Heart disease is America's #1 cause of death. With a combination of two drugs administered once every six months, it might be mostly defeated. Just think about that how big this is! You will know your great-grandkids!
It is insanely optimistic that we have drugs that can reduce Lp(a) levels by 98% in trials right now. If they succeed, they could help to crush heart disease and stroke.
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Me: Maybe you should try being happy? Everyone: How dare you tell me to not be angry all the time
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A longer life for billions, not billionaires. The promise of aging science is not to increase the lifespan of a wealthy few, but to allow billions of people worldwide to live longer, healthier lives.
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