Wissam

When @karpathy built MenuGen (karpathy.bearblog.dev/vibe-coding-me…), he said: "Vibe coding menugen was exhilarating and fun escapade as a local demo, but a bit of a painful slog as a deployed, real app. Building a modern app is a bit like assembling IKEA future. There are all these services, docs, API keys, configurations, dev/prod deployments, team and security features, rate limits, pricing tiers." We've all run into this issue when building with agents: you have to scurry off to establish accounts, clicking things in the browser as though it's the antediluvian days of 2023, in order to unblock its superintelligent progress. So we decided to build Stripe Projects to help agents instantly provision services from the CLI. For example, simply run: $ stripe projects add posthog/analytics And it'll create a PostHog account, get an API key, and (as needed) set up billing. Projects is launching today as a developer preview. You can register for access (we'll make it available to everyone soon) at projects.dev. We're also rolling out support for many new providers over the coming weeks. (Get in touch if you'd like to make your service available.) projects.dev

For Black Friday and Cyber Monday weekend, we created a miniature city with real-time data to celebrate businesses building on Stripe.

I was someone who through my 20s wasn't even sure if I wanted kids. Work was my passion and I enjoyed it deeply. I filled up two passports. I did well financially. And yet, it's incomparable to the joy and purpose having children has given me. Like, not even close. Its crazy.

Over the past week, @arcinstitute published three new discoveries that I’m very proud of. • The world's first functional AI-generated genomes. Using Evo 2 (the largest biology ML model ever trained, which Arc released in partnership with @nvidia in February), Arc scientists took advantage of the fact that Evo 2 is a generative model to produce completely new sequences for complete phage genomes. That is, they used AI to produce wholly new, never-before-seen-by-nature genomes. They experimentally synthesized these genomes and showed that these AI-generated phages actually work, killing E. coli bacteria with high efficacy. • Germinal, an AI system for creating new antibodies. Antibody design is one of the great problems of medical biology given their obvious importance and usefulness for creating therapeutics. (Antibodies are tiny particles that help the immune system identify pathogens and other harmful intruders. See also the recent Works in Progress article on this topic: [1].) Today, designing effective antibodies is very expensive and slow. Germinal is a cheap and fast way to produce drug candidates, with success rates of up to 22%. This means that one can go from having to screen thousands of candidates in the lab to screening perhaps a few dozen. It's early, but I suspect that better methods for designing antibodies will be a very big deal for disease treatment in the coming years. • Today, we published a paper showing that “bridge editing”, which Arc scientists first introduced last year, can make precise edits in human cells that are up to 1 million base pairs long, and without relying on intrinsically unpredictable cellular repair machinery (which CRISPR requires, often leading to editing mistakes). They showed that it’s possible to use this editing to cut out the DNA repeats that cause Friedreich’s ataxia (a neurological disease), an approach which should also be relevant to Huntington’s and other similar disorders. One particularly cool thing about it is that it’s possible to specify every nucleotide within the extended editing window, meaning that recursive bridge edits could potentially be a powerful way to reprogram even biological traits that are caused by many genetic mutations. (Genetic therapies today target single mutations.) Arc is pretty new. Its doors opened in mid 2022, and it's now 300 people. I’m excited about these discoveries because they show that a number of our hopes in starting Arc are starting to pay off: • AI/ML and computation are at the center of all three. That is obviously true for the first two, but the mobile genetic element behind bridge editing was also discovered as a result of a complex computational search. One of our premises in starting Arc was the belief that the intersection of software/AI and experimental wet lab biology should enable great things. (And besides requiring great computational work, all three of these also required strong wet lab work, tightly coordinated under a single physical roof.) • We’ve been toying with the idea that a handful of technologies are enabling a new kind of “Turing loop” in biology: sequencing advances (including single-cell sequencing) give us new ways to read; transformers and AI gives us new ways to think; and functional genomics (such as bridge editing) give us new ways to ways to write. This trio of discoveries span each part of this loop, and we’re hopeful that there’ll be compounding returns in improving each part. • Arc is a non-profit, which we hoped would make collaborating with others easier, since we can avoid worries about financial return. This is indeed proving important, and all three of these projects involved close partnership with others. Germinal was done in partnership with @SynBioGaoLab at Stanford; Evo 2 was trained in partnership with Nvidia. Bridge editing was jointly published with a structure from the @HNisimasu Lab at the University of Tokyo. Arc tries to make its discoveries useful (see the Evo 2 Designer[2]) for others, and the code behind the computational projects is open source, hopefully making it easy for others to spot new opportunities for collaboration and partnership in the future. Most of all, Arc itself is an ongoing collaboration with @UCSF, @UCBerkeley, and @Stanford. • With Arc, we wanted to enable better bottom-up and top-down work. With the fully flexible, no-strings-attached funding that we provide to investigators, we want to enable completely unexpected discoveries and avenues of investigation. With our institute initiatives (around creating a virtual cell and curing Alzheimer’s), we want to bring to bear a scale and level of coordination that’s usually difficult in basic science. Germinal is a “surprise” discovery that didn’t involve top-down coordination, whereas Evo 2 is the result of ambitious high-level planning and funding. • Humanity has never cured a complex disease (a category that includes most neurodegenerative diseases, most cancers, and most autoimmune diseases), and my hope is that Arc can help change this. It’s also clear that AI will revolutionize biology, and I hope that Arc can effectively aggregate the ingredients needed to fully capitalize on its promise. I’m biased, but I think some of the coolest biology in the world is currently being done at Arc. (They’re always hiring if you’re interested.) While I’m a cofounder of Arc, I spend almost all my time on Stripe, where we spend our time building economic infrastructure for the internet. All credit for Arc’s progress should go to the remarkable scientists and staff who’ve made Arc their home or who’ve chosen to collaborate with us. (You can read more about these particular discoveries in these threads: [3], [4], [5].) I’m also very grateful to the amazing Stripe employees who’ve built the company that makes Arc’s ongoing work possible, and to the millions of customers who’ve chosen to partner with Stripe. John and I feel fortunate to be able to support Arc’s work to the extent that we do. Maybe this is reading too much into it, but I sometimes feel that there’s a commonality between @arcinstitute and @stripe. Both biology and economic infrastructure involve reasoning about complex systems with many levels of emergent effects, and in both cases building the right tools can have almost unboundedly large benefits. Even though progress in both tends to take a long time, it also feels like the next five years in both will be some of the most interesting in living memory. (If economic infrastructure is your jam, we have a whole slew of fantastic announcements coming up at Stripe Tour in New York next week. Tune in!)

@gr2m @aisdk @vercel Congrats! What a perfect match. Look forward to seeing what you ship.

📢 I'm really excited to share that I'm back to working on Open Source, an SDK no less! And not any SDK, but @aiSDK! Thank you @vercel for letting me 🖤 I'll be using Twitter exclusively for work.

@patrickc Indeed! I’m hopeful that it’ll have a positive impact on Canada 🤞

Cool project: buildcanada.com. Would be neat to have a version for Europe/Ireland.

@jeff_weinstein @stripe That’s incredible! Glad you got the opportunity to do this

Just wrapped a few days in Washington, D.C., meeting policymakers on @stripe AI and payments. 🇺🇸 - Every level of government—across parties—is taking AI seriously - Compute and manufacturing seen as critical - While many are optimistic on growth, job displacement needs solutions

@0thernet @stripe That’s great feedback (and I agree about the attention to details and care that goes into all of this). Will pass the feedback along to the right teams!

integrating @stripe for like the 800th time in my life (no exaggeration, i worked there for 8yrs). i'm beta-testing v2 metered billing and their API design is :chefs-kiss:. we were an Orb customer, so i'm familiar with the pain of metered billing... i still know the Stripe product like the back of my hand, and there's a special joy i still get out of building an integration, noticing all the surprisingly great new details, and appreciating the vast towering coats of polish that have accumulated over a decade to make this developer product feel the way it does. i've tried, used, and built so many API products since I left Stripe 2 years ago. and i know from lived experience that the developer experience at stripe is truly undefeated, even undefeatable – they just care so much about it that you're never going to outmatch them

@kwuchu @ow I agree with Owen. Let’s make it happen!

@ow Aye, things can happen big dog

After five exciting years, my chapter @PlanetScale has come to an end. When I first joined, everybody was like, "Who the hell is PlanetScale? Do you actually like databases that much?" To be honest, I did not know a lot about databases nor really care about them, but I sure was excited to learn more and help improve how developers view and experience them. Fast forward to today, PlanetScale is now an industry name synonymous with simplicity, reliability, performance, and scale and being used by all sizes of companies, from startups to Fortune 500. I've learned a lot during my tenure, but one of the most important things I've learned is to trust in the process and the vision, that is what allows a company to succeed. I'm fortunate to have worked with some of the best, brightest, and kindest people I've met in my career, they made every day mad fun and enjoyable. It never felt like "work", more like building dope stuff with friends. That feeling is one of a kind and I hope to bring that same energy to the next company I join. Speaking of what's next, I actually haven't figured that out yet! I'm taking some time to mentally reset and recharge, then I'll start looking for my next adventure. If you're working on interesting problems, especially in the intersection of AI and developer tooling, feel free to hit me up, my DMs are open. Looking forward to whatever is next!

@jeffwilcox Oof, throwback! Congrats on hitting 20 years!

Obligatory photo I post every few work anniversaries... CRTs... monitors held up by paper reams... iPod on the desk... office in building 42... hair and youthful appearance... Web Platform Tools team!

I started at Microsoft 20 years ago today.

@simpsoka I did not expect this! Huge addition to Google.

Very excited about this!

@ericabrescia Wow, I did not expect that.

“OpenAI’s deal to buy Windsurf is off, and Google will instead hire Windsurf CEO Varun Mohan, co-founder Douglas Chen, and some of Windsurf’s R&D employees and bring them onto the Google DeepMind team”. Never a dull moment. theverge.com/openai/705999/…

@lucyhargreaves4 @TheHubCanada Absolutely!

@harleyf @cohere @aidangomez @1vnzh @nickfrosst That's huge! Welcome to Montreal

Montreal entrepreneurs: let's give a very warm welcome to the homies from @cohere 👋 @aidangomez @1vnzh @nickfrosst LFG!

@natfriedman That's incredible; congrats! Meta is lucky to have you leading this group.

Started work at Meta this week. My job is to make amazing AI products that billions of people love to use. It won't happen overnight, but a few days in, I'm feeling confident that great things are ahead.

@alexandr_wang @Meta @natfriedman Wow, what a team! Congrats to you, @natfriedman, and the whole team. 🚀 Look forward to seeing what you all build!

I’m excited to be the Chief AI Officer of @Meta, working alongside @natfriedman, and thrilled to be accompanied by an incredible group of people joining on the same day. Towards superintelligence 🚀

If you care about the future of this country, nothing matters more than the strategies and policies of the people who want to lead it. Long-form interviews—especially with one of the best, @shaneparrish—help reveal what soundbites can’t. @PierrePoilievre glad you did this!

Canada First Plan is exactly what we need 👏 🇨🇦 Smart tariff strategy, tax cuts to boost our economy, energy independence, massive homebuilding, and thoughtful immigration. More of this pls!

@harleyf @polymtl Incredible to see, especially as a proud @polymtl alumni 👏

Big news for Montreal & Canada! 🇨🇦 Entrepreneur-legend Pierre Lassonde just dropped $50M to fund a deep tech institute at @PolyMTL. This is HUGE for innovation in fields like autonomous vehicles & quantum tech. Thank you Pierre!

Incredibly excited about this upcoming book from @dwarkesh_sp