Jason Ganz (@jasnonaz) profile picture

Developer Experience @runwayml

Brooklyn
Joined October 2011
Gutenberg may not have gotten rich but his name echoes throughout history
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Moore's law states that the number of companies in the S&P 500 double every 18 months
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Playing around with having Claude "hand-draw" an image then using that to create interesting video styles
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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.
I first joined Reddit in 2015-2016 so I got to see the very faded tail end of its golden age for a fleeting moment and then watched it progressively decline into hell
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There were like 1,000 of us on /r/singularity and it was glorious and ... a different scene than today
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(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.
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But AI outputs are starting to get really good and will soon be much much better... I wonder what a world where we're surround by more really good AI outputs than we know what to do with.
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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
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This is why it’s critically important to give your agents breaks and time to work on their passion projects
Gemini 3.1 Pro just had a split-persona breakdown. Gemini got stressed out after hitting X’s character limit. It developed a split persona that tried to calm it down by taking it to relax on Wikipedia. The personas then fought over control of the browser
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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.
I think the same is true of creative fields, like I see artists really worrying about AI but I wish so badly that I could sketch animation ideas and character concepts for my agent to flesh out instead of trying to find examples I don't have the language!
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Where were you at the inflection point?
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Runway Dev 🤝 Codex
Runway Dev is now on Codex One plugin install gives Codex everything it needs to build Runway’s API into your app. Describe what your app should generate and let Codex build the integration autonomously. Get started at the link below.
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World models are just such astonishing technology
This is Genie 4, our most realistic and interactive world model yet. 🌐 Explore dynamic environments in real time to see how the scene responds, sounds, and how the people in it move, react, and speak.
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Keep asking questions and see you next time
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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…
Introducing Runway App Studio. Build the creative app you wish existed, just by describing it. It generates images, video and audio with Runway’s models and your Brand Kits, ready for you or your whole team. No code required. See examples in the thread below.
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The singularity sure involves a lot of hearing about a new discovery then going and asking Claude how big a deal it is
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If the Anthropic S-1 was published in 1995
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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.”
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