Konstantine Buhler
@Konstantine • 12,847 subscribers
Partner at Sequoia; AI Engineer; History Nerd.
Videos
Jensen Huang is a titan and a teacher. He recently sat down with me to explain his vision of the future of technology and humanity. He’s calm, clear, and very funny. We touched on many topics, ranging from the $20T or more AI economy in five layers to changes in labor for the AI age. Here are some of my main takeaways: 1) The world is moving from retrieval to generation 2) Generation offers intelligence customized to the individual 3) Nvidia is making the "generators" of intelligence 4) We've seen this kind of revolution at least three times before with energy (Generators), Telecommunications (vacuum tubes / transistors?), and now intelligence (GPUs) 5) There is a five-layer cake of participation in this many-many trillion dollar revolution: Energy, Chips, Infra, Models, and Applications. 6) There are many ways to participate in this revolution, and everyone has a role 7) We'll be pushed to dream up new problems to solve with this unprecedented intelligence 8) In this new future, it's not just having the answer, it's having the right questions 8) The right questions will drive us toward our individual and collective human purpose 9) We move from the carpenters to the architects I believe this is the realistic future. Thanks to Jensen and the entire NVIDIA team for the conversation and for letting us share! 00:00 Introduction 00:42 From Chatbots to Generative AI 03:35 Agentic AI That Does Work 05:26 Downstream Industry Impact 06:25 Computing Shifts From Retrieval to Generation 11:26 A Planet Cocooned by Intelligence 14:27 Inside the NVIDIA AI Factory 20:48 AI Five Layer Cake 21:58 Beyond Chatbots to Biology 23:54 Tokens and World Models 24:53 Trillions in Applications 27:13 Ditch the AI Doom 31:32 Jobs Tasks vs Purpose 38:40 Closing the Tech Divide
Konstantine Buhler182,766 görüntüleme • 25 gün önce
These are 5 AI investment themes we're betting on for the next 12-18 months. We're focused on the foundational challenges that will unlock the next wave of AI applications. 🧠 Theme #1: Persistent Memory The biggest unsolved problem in AI. Current solutions (vector DBs, RAG, longer context windows) aren't cutting it. Two types needed: • Long-term memory (organizational context) • Identity persistence (consistent AI personality) No scaling laws exist for this yet. Whoever cracks it first doesn't just win a feature—they unlock entirely new AI categories. 🌐 Theme #2: Seamless Communication MCP is just the starting gun, not the finish line. When AIs can communicate seamlessly, they'll eliminate every platform moat built on convenience. Your AI won't care about Amazon's one-click or Apple's ecosystem lock-in. Platform disruption at unprecedented scale. 🎙️ Theme #3: AI Voice Video is the future, but voice is ready TODAY. • Fidelity breakthrough ✓ • Real-time latency solved ✓ • Existing infrastructure everywhere ✓ Enterprise opportunity is massive: logistics coordination, trading desks, supply chain calls. Millions of voice interactions are waiting for AI automation. 🛡️ Theme #4: Secure Trust In the AI future, you'll need hundreds of security agents per human. Unlike physical security (limited by space/cost), digital security scales infinitely. Every AI agent creates new attack vectors. Every interaction needs protection. The math is simple: More AI agents = exponentially more security agents needed. 🔓 Theme #5: Open Source Open source is at a critical crossroads. The next 12 months determine if innovation stays democratized or gets locked behind corporate walls. We're committed to ensuring the AI future is built by everyone, not just the extremely well-funded giants. The meta-theme: These aren't just product features. They're the foundational infrastructure that will enable the next generation of AI applications.
Konstantine Buhler106,235 görüntüleme • 10 ay önce
We recently had the opportunity to discuss the current state of AI with Jensen Huang from Nvidia. This presentation summarizes our discussion. Jensen has talked about building the "AI factory" of the future. What took 144 years during the Industrial Revolution might happen in just a few years with AI. Here's why: rapid specialization. Beyond a certain scale, complex systems need both general-purpose and highly specialized components to mature. Today, we're living through the "Cognitive Revolution": → 1999: First GPU (our "steam engine") → 2016: First AI factory putting all components together → 20XX: The cognitive assembly line The question isn't if this transformation will happen. It's who will be build the Standard Oil, Carnegie Steel and Ford of the AI era. At Sequoia Capital, we believe it's the startups being built right now—the ones carrying out this specialization imperative across every industry. The cognitive revolution is here. And it's moving faster than anything we've seen before. Watch the full presentation on YouTube:
Konstantine Buhler56,301 görüntüleme • 10 ay önce
The AI business model is undergoing a transformation. For the last few years, the playbook was simple: put an AI wrapper on a SaaS product and sell it by the seat. That era is ending. The new wave of AI companies are moving beyond simple subscriptions and embracing a more sophisticated approach tied directly to value creation. Here’s what’s changing: 💰 From Seats to Spend: The most forward-thinking companies are shifting to usage-based and outcome-driven pricing. Think less about how many people use the AI and more about what the AI does. This includes new revenue streams like "agentic checkout" on ChatGPT, where AI agents complete purchases and transactions directly within a chat interface. The closer the AI is to the dollar, the more value it captures. 🎙️ From Text to Voice & Video: The interface for AI is becoming more human. Voice is mainstream (Sierra for support, Listen Labs for market research). The next frontier is video, where AI will see, understand, and interact with the world in real-time. The keyboard is no longer the only way to talk to a machine. 🤖 From Advisors to Actors: Early AI copilots gave advice. The next generation takes action. These agents aren't just suggesting what to do; they are executing complex workflows that directly impact the metrics that matter: boosting conversion, reducing average handle time (AHT), improving NPS, and cutting churn. This is about moving from passive assistance to active problem-solving. The common thread? A relentless focus on tangible ROI. We’re incredibly bullish on founders who understand this shift and are building companies that align their success with the success of their customers. The future of AI isn't just about intelligence; it's about impact.
Konstantine Buhler24,868 görüntüleme • 8 ay önce
AI is shifting from simple language models to sophisticated agents that actually get things done. Case in point: XBOW, founded by Oege de Moor, has built an AI that doesn't just suggest how to spot cybersecurity threats – it actively tests and validates them. In under a year, they've created technology that can match expert human performance. This is what real AI progress looks like.
Konstantine Buhler33,017 görüntüleme • 1 yıl önce
NVIDIA CEO Jensen Huang just gave us a glimpse into the future of AI, and it's far bigger than text and images. He asked: "If you can understand worlds, is it possible that you understand proteins and chemicals that have structure?” This is the quiet revolution happening in AI right now. We're moving from an AI that understands human language to an AI that understands the language of nature itself. The "letters" are atoms. The "words" are molecules. The "sentences" are the complex structures of life, networks, and reality. The same foundational models that generate video are now being used to: *Decode proteins to fight disease *Design new materials at the atomic level *Simulate complex systems in quantum computing These were once the domain of supercomputers and Nobel laureates. Now, they're becoming solvable problems for a new generation of startups. AI is transitioning from a tool for communication to a tool for creation and discovery in the physical world. This is where the next wave of generational companies will be built. The "hard-to-solve" problems are now within reach.
Konstantine Buhler13,014 görüntüleme • 8 ay önce
We're tracking the patterns that matter. Here are 5 AI investment trends across the Sequoia Capital portfolio reshaping what we know about work and technology. 1️⃣ Leverage Over Uncertainty 📍 Today: Manage 10 accounts with 100% certainty of your process 🚀 Tomorrow: Manage 100+ AI agents with 90% certainty but 1000x leverage The winners are choosing amplification over perfection. 2️⃣ Real-World Validation 📍 Today: Academic benchmarks (ImageNet, GLUE scores) 🚀 Tomorrow: Real competition (AI hacker wins HackerOne globally) Demos don't matter. Real-world wins do. 3️⃣ Reinforcement Learning Goes Mainstream Not just for the big labs anymore. Our portfolio companies are using RL to train the best open-source coding models and accelerate specialized applications. 4️⃣ AI Enters the Physical World Beyond humanoid robots. Think AI-accelerated hardware manufacturing, quality assurance, and process optimization. The digital-physical boundary is disappearing. 5️⃣ Compute as the New Production Function "FLOPs per knowledge worker" is the metric that matters now. • Minimum forecast: 10x increase • Optimistic forecast: 1,000-10,000x increase Every knowledge worker will command an army of AI agents. Each agent needs compute. The pattern: We're moving from human-centric work to human-directed, AI-amplified work. The companies riding these trends aren't just growing—they're redefining entire industries.
Konstantine Buhler11,905 görüntüleme • 10 ay önce
The most ubiquitous type of AI is (still) AI prediction. It powers everything from the TikTok algo (still there?) to the X feed . It drives trillions of market cap. If your company isn't using predictive AI - it may be a decade+ behind. Hema Raghavan Kumo
Konstantine Buhler11,615 görüntüleme • 1 yıl önce
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