We've raised $65 billion in Series H funding at a $965 billion post-money valuation, led by @AltimeterCap, Dragoneer, @Greenoaks, and @sequoia. This investment will help us advance our research and expand our capacity to meet growing demand for Claude.

imo @catchback_cards is one of the coolest startups in our yc batch mystery packs for Pokémon and sports card collectors. cryptographically verifiable odds (you can actually prove the pull was fair). instant Venmo buybacks $1 marketplace they're also one of Lucent's earliest users, and here's a bug we caught for them recently: their pack-opening modal was showing a "Error Loading Pack Opening" on pulls that actually succeeded. card was safely in the user's vault. 198 sessions before the team knew with 0 alerts from Sentry. @sohan_zhang (co-founder & CEO): "Got fed up with UI bugs across different devices. Used Lucent to figure out what was breaking. Saved us a lot of time." exactly what we built @lucent_ai for 😊

We’re building a language model in public because Africa needs more people participating in the future of Artificial Intelligence. So we’re demystifying the process and open-sourcing what we learn so anyone can study it, replicate it, and build on it. In this video, I break down the three stages of building an AI model and where we currently are in the journey.

If you’re wondering why @injective has performed more than other coins in this month then you should see this 🔻 - It just officially listed on Binance US. This means more liquidity will flow in from the US. - The community-led buybacks and token burns are permanently wiping tokens off the market. This increases price. -They just partnered with Musicow to bring a massive $200B music industry asset class on-chain through tokenized IP. The fundamentals are lining up fast. I think we might see $INJ at 2 digits before the end of the year with the rate at which things are moving. Do you think this is the official start of the next leg up, or are you waiting for more reasons to stack more? Let me know your plans in the comments

I spoke to five Fortune 2000 execs today about the state of AI. I asked each one “What’s the most challenging part about this moment in AI?” The CISO said: “There is an ocean-sized gap between hype and reality, which makes discerning what’s real exhausting.” The VP of AI engineering said: “Everyone acts like they’re an expert, yet the main reason so few AI use cases have reached production in enterprises is because true expertise requires experience in scaled systems, enterprise politics, AI fluency, governance and guardrails, and deep process knowledge. Almost no one is actually an expert.” The CTO said: “Our remit is to cut costs, but you can’t actually take AI transformation seriously without increasing AI/R&D budgets up front to ultimately drive bottom line once things are in production and performant. It’s an unrealistic expectation.” The Chief of Staff said: “My job is to drive AI upskilling across the organization, and after doing it for 2 years I’m exhausted. Yes there’s potential ROI from all of the agentic workflows we’re building, but soul and humanity are being sucked out of our processes.” The Finance leader said: “We acquired a multibillion dollar old school business. Getting that business to be AI-native is incredibly painful largely because people aren’t ready or willing to adopt it.” I’m having convos like this every day because I'm building an invite-only AI community for enterprise execs (and interviewing folks before I let them in), but if you find these notes helpful I’m happy to keep sharing them!

My first multi-agent system using @crewAIInc. Thanks to @joaomdmoura for his course. Took me 2 hours because I do not know how to code. I'm learning this as a PM. Ran it the second time for an article on Fibroids. Good results for both. 👍

sometimes you need to slow down to go fast