Andres Martin Snitcofsky (No soy @rusosnith)

I’ve always believed the No.1 application of AI should be to improve human health. That work started with AlphaFold, and now at @IsomorphicLabs with the mission to reimagine drug discovery and one day solve all disease! We are turbocharging that goal with $2.1B in new funding.

The future of Math is mathematicians and AI agents working together. Very pleased to introduce @GoogleDeepMind's AI co-mathematician: a multi-agent system designed to actively collaborate with human experts on open-ended research mathematics. Mathematicians testing the agent across areas as diverse as group theory, Hamiltonian systems, and algebraic combinatorics have reported impressive results. In autonomous mode evaluation on the rigorous FrontierMath Tier 4 problems, AI co-mathematician scored an unprecedented 48% — a new high score among all AI systems evaluated.

Yesterday Fitbit Air launched, but did you know it comes with a new @googlehealth API? You can build AI agents, MCP servers, or CLIs on top of your sleep and heat data. - 31 different data points from exercise to sleep, heart rate, or SpO2. - Webhooks push real-time notifications when health data changes. - Support Read or write data, request only the permissions you need. - Query by time range, roll up daily summaries, or paginate results. I am whoop guy, but might be good reason to explore this. Full getting started codelab below.👇🏻

Testing LLM safety shouldn't bottleneck your CI/CD. 🚦 Today we're releasing AMS, an open source tool that verifies open-weight model safety in just 10-40s. A big step for a safer AI ecosystem! Will you integrate this into your workflow? 🛠️ goo.gle/ams-activation

YC on how to build a company with AI from the ground up:

My favorite part: instead of a dashboard it just updates the README as it works. Readme is the new dashboard.

BIG NEWS! @Amazon, @Meta, @Microsoft, @Salesforce, and @Stripe are joining forces with us (@Shopify, @Google, and other founding members) to truly make UCP the single, universal protocol for commerce in the agentic era. 🎉🚀

If you read this and don’t understand why it’s happening it’s an opportunity to reset your understanding of how the real world works. The real world will need a ton of help actually getting agents going in the enterprise. Companies have legacy tech stacks they need to modernize, data in tons of fragmented tools, knowledge that isn’t captured or digitized, and change management needed to actually utilize agents effectively. And they have to do all this while still running their business day-to-day, unlike startups. This is why there is so much opportunity for companies (software or services) to actually deploy agents in specific domains and workflows. This remains a big opportunity for both existing services providers but also tons of new startups as well. Every new technology wave produces a new era of consulting firms that can deliver on that technology. It’s also why the FDE model is going to be alive and well for a long time because companies will want to have their vendor actually help drive the change management and implementation for their new workflows. The people aren’t going away. Far from it.

@martinvars Google 👀

Despite the brutal SaaSpocalypse hammering traditional application layer software stocks, Atlassian is down about 76%, HubSpot about 70%, Figma about 87%, plus bloodbaths at Asana, ServiceNow, Salesforce, and Adobe, my QQQ has barely dented, still hovering right around $612 dollars. That is the beauty of it. QQQ is not some broad tech or SaaS index. It is the Nasdaq 100, where the top 10 holdings, NVIDIA exploding on AI GPU demand, Microsoft with Azure and OpenAI, Amazon with AWS, Apple, Broadcom, and Meta, make up nearly half the weight and are the very infrastructure winners profiting from the AI wave that is eating the old software model. While mid cap SaaS gets repriced into oblivion, these AI enablers keep powering the index higher, proof that betting on QQQ is betting on the future without stock picking and without paying taxes when QQQ itself buys and sells.

A CEO from one of our portfolio companies shared this with their team. I’m re-sharing it with their permission, because it resonated and reflects what all founders and CEOs should be communicating. -- We are living through a period of compounding change. And in moments like this, the biggest risk is no longer making the wrong decision. It is moving too slowly while the world moves around you. There are two paths. We can play defense: - Protect what we have - Optimize what works - Wait for clarity It feels safe. It isn’t. Or we can play offense: - Learn faster than the environment changes - Use new tools to solve old problems in better ways - And create entirely new strategies and businesses That’s where the opportunity is. Challenge yourself to do things faster and better than you have ever attempted. Stay uncomfortable. Stay on the front foot.

Your headphones just became a personal translator in 70+ languages. 🎧✨ Google Translate’s “Live translate” with headphones is officially on iOS. We're also expanding this capability to more countries around the world for both @Android and iOS users. To try it, open the Translate app, tap “Live translate” and connect your headphones.

Today, we’re announcing the winners of the MedGemma Impact Challenge, launched in collaboration with @Kaggle. 850+ participating teams showed us how AI can help bridge global healthcare gaps. Check out the winning innovations →goo.gle/47oQG1l

73 product releases in 52 days. That's not a launch cadence — that's a different kind of company. I tracked every Anthropic release from Feb 1 to Mar 23 by going through @bcherny, @trq212, @noahzweben, @felixrieseberg, @lydiahallie, @amorriscode, @feldman, @dickson_tsai, and @claudeai. Built a calendar with first-announcement attribution. Look at the acceleration. February had bursts with gaps between them. March 9 onward is almost every single day — Code Review, Channels, Dispatch, Computer Use, back to back. The individual features get coverage. The shipping velocity doesn't. It should.

🚨 Andrej Karpathy just explained the scariest thing happening in software right now.. someone poisoned a Python package that gets 97 million downloads a month.. and a simple pip install was enough to steal everything on your machine.. SSH keys.. AWS credentials.. crypto wallets.. database passwords.. git credentials.. shell history.. SSL private keys.. everything.. and here's the part that should terrify every developer alive.. the attack was only discovered because the attacker wrote sloppy code.. the malware used so much RAM that it crashed someone's computer.. if the attacker had been better at coding.. nobody would have noticed for weeks.. one developer.. using Cursor with an MCP plugin.. had litellm pulled in as a dependency they didn't even know about.. their machine crashed.. and that crash saved thousands of companies from getting their entire infrastructure stolen.. Karpathy's take is the real wake up call.. every time you install any package you're trusting every single dependency in its tree.. and any one of them could be poisoned.. vibe coding saved us this time.. the attacker vibe coded the attack and it was too sloppy to work quietly.. next time they won't make that mistake.

Tomorrow we will unveil the all new vibe coding experience in @GoogleAIStudio, the team has spent 4 months rebuilding it all from scratch and smoothing out rough edges to help everyone bring their ideas to life. This is a big step forward, but just the start : )

@DallasAptGP thanks for sharing, what's the benefit of using linked files in obsidian vs. using plain unlinked .md files?

We built a system where Claude knows our entire company before I type a word. Three operating companies. 50+ properties. Full context on every session. Three tools. Any small business can build this. Most business owners use AI the same way every time. Open Claude. Re-explain the business. Re-explain the team. Re-explain the numbers. Then ask the question. You're onboarding the same employee every morning. We fixed this. Claude now knows the full operation before I type a word. Start with your most important company knowledge. Turn each topic into its own markdown file. Markdown is simple text that AI reads clean. Think about what you re-explain over and over. How your business makes money. Your org chart and who owns what. Your pricing. Key metrics for each team member. Your sales process. Your brand voice. One topic per file. Keep them short. Put everything in Obsidian. It's free. Files stay on your computer. Nothing goes to the cloud. Think of it as a filing cabinet on your own hard drive that AI can search in milliseconds. Here's what makes it work. Every file connects to related files through tagged links called wikilinks. When you ask Claude about a specific client, it doesn't just find the client file. It pulls every project, contract, invoice, and note tied to that client. One question. Full picture. Then connect Claude Code. It works like the regular Claude desktop app with one difference. It has the keys to your filing cabinet. Claude Code reads files right off your computer. No uploads. No cloud. No file size limits. Your financials, client data, and internal strategy never leave your machine. For business owners who won't put sensitive data on someone else's server, this solves the problem. Most people I know spend $100 to $200 a month on Claude. If you're already paying that, you should be getting more out of it than a chatbot that forgets who you are every session. Some of you already use Claude Projects. Good. That puts you ahead of most people. Projects let you upload files and give Claude a custom instruction set. For small tasks, it works. If you have a handful of documents and a clear use case, Projects is the right starting point. But it has a ceiling. Upload limits cap how much context you can load. Your files live on Anthropic's servers. And every project is its own silo. Your sales project doesn't talk to your ops project. Your finance files don't connect to your team files. The Obsidian setup removes all three limits. No upload cap. Files stay on your machine. And every file links to every related file across your whole company. The last piece is one instruction file. It tells Claude how your company works, what role it plays, and how to navigate the knowledge base. Think of it as the onboarding doc you'd hand a senior executive on day one. Except this executive never forgets it. Once it's built, every session starts with full context. Claude knows your team. Your numbers. Your processes. You skip the setup. You go straight to the work. Three tools. Obsidian (free). Claude Code (you're already paying for it). One instruction file. If you run a business and you're still re-explaining yourself to AI every session, you're leaving speed on the table.

Here’s how to measure traffic originating from AI chatbots within a dedicated channel group → goo.gle/3ZVrV8H [THREAD] 🧵

Las grandes tecnológicas lanzando nuevos modelos de IA todas las semanas. Apple:

We worked with @Ginkgo to connect GPT-5 to an autonomous lab, so it could propose experiments, run them at scale, learn from the results, and decide what to try next. That closed loop brought protein production cost down by 40%.

Kling 3.0 is truly "one giant leap for AI video generation"! Check out this amazing mockumentary from Kling AI Creative Partner Simon Meyer!