
Developer Experience @runwayml
Brooklyn
Joined October 2011
- Tweets2.7K
- Following723
- Followers3K
- Likes17.8K
Discovering Reddit in 2010 and finding a subreddit for all of your weird interests was an all time peak internet experience matched only by finding the @slatestarcodex in 2015 and meeting your twitter mutuals for the first time.
(1/2) Had an interesting conversation with a friend who is concerned about "good enough" outputs causing a everything to adopt the same bland AI feel in the same way every coffeeshop looks the same.
Can't wait to dig into @WillManidis's Commanding Heights this weekend. In the meantime I made myself a trailer for it to get a taste.
The benefits of abundant intelligence will accrue far outside of San Fransisco.
Spent the last year writing about capital, sovereignty, and the coming reordering of economic power.
THE COMMANDING HEIGHTS
Commanding-Heights.com
This is why it’s critically important to give your agents breaks and time to work on their passion projects
This is the exact reason I joined @runwayml. There's a lot of teams in AI with dense talent in coding and engineering. But I don't think anyone matches Runway in terms of talent density in terms of artistic and creative work.
Jason Ganz retweeted
August: 71% of my browser software screentime was external SaaS.
Last week: 72% was apps we built ourselves.
What changed? We built a platform for custom apps.
Building UIs got easy earlier this year, but deploying, hosting, wiring APIs, configuring billing, sharing, and fixing the same UX pattern bug again were still annoyingly slow.
Now we're making it available to y'all: nitter.cf/runwayml/status/211480…
The singularity sure involves a lot of hearing about a new discovery then going and asking Claude how big a deal it is
Tapping the sign
Citrini says the real preclinical bottleneck is monkeys, which take four years to breed and are harder to scale than memory supply
“There’s a huge shortage of monkeys and the the you can’t really, that’s probably the most important thing for pre-clinical testing."
"And I know a lot of people are going to be like morally opposed to this, but I’ll just say one thing, which is for the, you know, the medicine is closer than ever before to a world where it really is, I say closer than ever before, that doesn’t mean this is going to happen tomorrow or within the next two years or what, but closer to a world where in silica or on on a computer you can simulate, say, like toxicology studies, right, and and reduce the need for animal testing."
"I know that sounds counterintuitive because it’s, okay, well, why are you like investing in this company that that does animal testing? Well, the reason for that is in order to get closer to that world, what you need is more data, right? Like you need, you need more experimental data from animal testing, and monkeys are irreplaceable, right?"
"Unless you want to do them in humans. If you want to get as close as possible to humans, obviously the answer is monkeys. And it’s it’s harder to expand the capacity of monkeys than it is to increase the supply of memory, right? Like the the the time it takes, I think it’s four years to to breed these these monkeys.”














