This feed is notebook margins - raw research notes to train a science hypothesis AI later.
Final essays go to Context Fund: https://www.reddit.com/r/contextfund
But you can really feel when the right plot clicks in.
But you can really feel when the right plot clicks in.
A friend said tonight, "Thanks!"
I said, "but I haven't done anything yet."
"No, but you gave me hope."
A friend said tonight, "Thanks!"
I said, "but I haven't done anything yet."
"No, but you gave me hope."
1-2 min, $0.50 (eth) -> ~15s, <$0.01 (sol)
NB: Transactions visible on chain (obv) and easy to fat-finger funds to the wrong chain (not ready for grandma yet), but still, for geeks, it just works.
1-2 min, $0.50 (eth) -> ~15s, <$0.01 (sol)
NB: Transactions visible on chain (obv) and easy to fat-finger funds to the wrong chain (not ready for grandma yet), but still, for geeks, it just works.
Rather than talking about expected lifespan, it's probably more intuitive/useful to think about marginal cost to extend lifespan by one year. Right now, it's cheap in early age, much more expensive in old age. If we invest together, the cost will get much cheaper in the future.
Rather than talking about expected lifespan, it's probably more intuitive/useful to think about marginal cost to extend lifespan by one year. Right now, it's cheap in early age, much more expensive in old age. If we invest together, the cost will get much cheaper in the future.
Doable now, increasingly efficient over time.
Doable now, increasingly efficient over time.
Replaced them with AI summaries for ~a month (scheduling utilities/async flows like Lutra/OAI helpful here). Same events, but the world feels calmer/contextualized, like reading an investor newsletter.
End of an era, probably for the better.
Replaced them with AI summaries for ~a month (scheduling utilities/async flows like Lutra/OAI helpful here). Same events, but the world feels calmer/contextualized, like reading an investor newsletter.
End of an era, probably for the better.
Pre-training still the biggest factor of AI intelligence by far, but how much does implicit prompting (via memory) change the intelligence between users?
Pre-training still the biggest factor of AI intelligence by far, but how much does implicit prompting (via memory) change the intelligence between users?
TL;DR - scale matters, hedging matters, efficiency of a trial matters. Often the science fails first, leading to cascading management/funding failures.
A lot of knobs here that can be tweaked (some obvious, others less obvious).
www.librariesforthefuture.bio/p/why-do-bio...
TL;DR - scale matters, hedging matters, efficiency of a trial matters. Often the science fails first, leading to cascading management/funding failures.
A lot of knobs here that can be tweaked (some obvious, others less obvious).
www.librariesforthefuture.bio/p/why-do-bio...
VC - horizontal, power accumulation, knows everyone.
Founder - vertical, deep, iterates, knows users, team and funders.
Growthco - horizontal x vertical (a la OpenAI/Google/Alibaba).
VC - horizontal, power accumulation, knows everyone.
Founder - vertical, deep, iterates, knows users, team and funders.
Growthco - horizontal x vertical (a la OpenAI/Google/Alibaba).
Key insight into founders is how they react uncertainty - when you encounter uncertainty, do you raise more to hedge (portfolio hedge), or do you raise less, think more (expertise hedge)?
Key insight into founders is how they react uncertainty - when you encounter uncertainty, do you raise more to hedge (portfolio hedge), or do you raise less, think more (expertise hedge)?
2. What you predict about the world also depends on your (simulated) action space.
Explains a lot about value systems in the modern, hyper-scale world vs. the 150-person village.
2. What you predict about the world also depends on your (simulated) action space.
Explains a lot about value systems in the modern, hyper-scale world vs. the 150-person village.
Using AI agents to do work directly, yielding $, is not that different from investing money in another human verifier to do the same thing, except ownership fraction and control (which does, of course, matter).
Using AI agents to do work directly, yielding $, is not that different from investing money in another human verifier to do the same thing, except ownership fraction and control (which does, of course, matter).
Otherwise, build the personal tools that upgrade the tech era, which makes the vertically integrated thing possible, and be more indefinitely optimistic.
Otherwise, build the personal tools that upgrade the tech era, which makes the vertically integrated thing possible, and be more indefinitely optimistic.
True for the AI labor markets too.
The music will probably stop for some big names in 1-2 years in dramatic ways, but the winners do have 10x-100x growth left.
True for the AI labor markets too.
The music will probably stop for some big names in 1-2 years in dramatic ways, but the winners do have 10x-100x growth left.
Exciting news from Engage Bio!
We’re proud to announce that the Cystic Fibrosis Foundation has made an equity investment in Engage to support development of durable, non-viral genetic medicines for cystic fibrosis.
Exciting news from Engage Bio!
We’re proud to announce that the Cystic Fibrosis Foundation has made an equity investment in Engage to support development of durable, non-viral genetic medicines for cystic fibrosis.
youtu.be/aG8_AeiwDPA?...
youtu.be/aG8_AeiwDPA?...
1. Contrastive distillation works better than most theories as a model of reasoning and writing. It's simple, it scales.
2. But data/experience increases precision. Hang out near the reefs. PhD-led startups with good coaches do unreasonably well.
1. Contrastive distillation works better than most theories as a model of reasoning and writing. It's simple, it scales.
2. But data/experience increases precision. Hang out near the reefs. PhD-led startups with good coaches do unreasonably well.
Read more 👇
Read more 👇
www.economist.com/finance-and-...
www.economist.com/finance-and-...