Sequoia Capital

•

Kanał • Programy: 3

Biznes

Biznes

Uakt. co dwa tyg.
Technologie

Technologie

Uakt. co tydzień
Przedsiębiorczość

Przedsiębiorczość

Uakt. co dwa tyg.

1 dzień temu

Why Hardware-Software Co-Design Is AI's Real 100x: Dylan Patel of SemiAnalysis

Dylan Patel, founder of SemiAnalysis, argues the biggest gains in AI don't come from faster chips, they come from software-hardware co-design. Optimizing the model, the kernels, and the silicon together turns a 2x here and a 2x there into 100x. He explains why DeepSeek's experts were shaped for Nvidia's Hopper (and why TPUs struggle to run it), why OpenAI's sparser models and Anthropic's denser ones pull them toward different hardware, and why the so-called CUDA moat was never really about CUDA. Dylan breaks down InferenceX, his living benchmark that runs the latest models on over $50M of donated hardware daily, tracking a roughly 60x annual drop in cost per unit of quality. He makes the case that inference will be a bigger market than oil, that the compute crunch persists because models expand the value of useful work faster than compute grows, and why Jensen Huang is bankrolling neoclouds to engineer a multipolar world. Hosted by Shaun Maguire and Sonya Huang, Sequoia Capital

1 dzień temu

•

1 godz. 10 min
24 cze

Memory and Continual Learning: Engram's Dan Biderman and Jessy Lin

Dan Biderman and Jessy Lin, co-founders of Engram, are building a neolab around memory and continual learning, which they call two sides of the same coin. Their contrarian premise: instead of stuffing ever-larger prompts into the context window or bolting on RAG, bake a team's knowledge directly into the model's weights, so it knows your company the way an employee of several years does. The payoff: matching or beating frontier models while consuming up to 100x fewer tokens. Working with partners like Microsoft, Notion, and Harvey, the team draws on roots in computational neuroscience and state-space architectures to attack what they see as the real bottleneck in AI — not raw intelligence, but memory and continual learning. In contrast to the frontier labs' race toward one ever-bigger model and AGI, Dan and Jessy imagine a world where everyone has their own model — privately trained, always learning, and good at the things you actually care about. The real ChatGPT moment for memory, they argue, is the day your model feels like an intern that genuinely got smarter overnight. Hosted by Sonya Huang and Shaun Maguire, Sequoia Capital

24 cze

•

45 min
26 lut

Ben Horowitz On What Makes a Great Founder

A16z’s Ben Horowitz joins me for a raw, unfiltered conversation on what actually breaks founder CEOs, and what separates the great ones from the rest. We unpack founder mode, where it works and where people are taking it too far. Ben shares why overly deferring to experienced executives creates politics and fiefdoms, but avoiding senior talent altogether is just as risky. Founder mode is not about micromanaging. It’s really about taking responsibility for outcomes and having the confidence to manage people who may have more experience than you. Ben goes deep on “constructive confrontation” and why running away from the truth to preserve feelings is one of the most dangerous things you can do in a tech company. He explains why bad news has to travel fast, how decision debt paralyzes organizations, and why hesitation, not lack of intelligence, is what usually gets CEOs replaced. We also dive deep into hiring, especially the VP of Sales role founders mess up more than any other. Ben breaks down why great sales leaders qualify you in the interview, why references matter more than charisma, and why selling a hard product builds a different kind of operator. Along the way, we cover the psychology of being a first-time CEO, what Zuckerberg, Jensen, and Elon actually have in common, why culture is defined by behavior not values, and why feeling like you don’t know what you’re doing is more normal than most founders admit.

26 lut

•

49 min
4 cze

David Senra: Mute the World and Build Your Own

David Senra has spent a decade reading the biographies of 400+ founders for his podcast Founders - and lately he's started interviewing the living ones face to face. He joins me to share what all of them actually have in common, and it isn't what Silicon Valley thinks. His one word is focus — what he calls "mute the world and build your own." He walks through Dana White buying the UFC for $2 million and turning it into a nearly $8 billion TV deal by ignoring everything outside his own arena; why Daniel Ek believes founder-problem fit matters more than product-market fit. We get into the idea that the best founders are driven by control, not money - and why selling your best company and trying to recapture the magic at 60 almost never works. David’s perspective on overcoming negative self-talk: at some point you have to change your fuel source from something that punishes you to something that generates. If you've ever wondered whether the founder mythology is real, David has read more of the source material than anyone alive.

4 cze

•

57 min
16 cze

Simulating Humans at Scale: Simile's Joon Sung Park

The race to build superintelligence is producing models that keep getting better at objective problems, but not at behaving like actual people. Joon Sung Park, founder and CEO of Simile and creator of Stanford's "Smallville" generative agents study, argues that simulating human society requires a fundamentally different kind of model. He frames today's frontier models as the "CPU of intelligence"—rational, superhuman at problems with right answers—and Simile as creating the "GPU of intelligence," built to encode the diversity of people's values, preferences, and tastes. It simulated 1,000 Americans and predicted their behavior 85% as accurately as people reproduce their own answers. CVS uses it for concept testing; some customers simulate their own earnings calls. Joon's larger bet: a "CERN of human society" that could one day model bank runs, climate cooperation, or the early signals of a collapsing democracy. Hosted by Sonya Huang, Sequoia Capital

16 cze

•

39 min
2 kwi

Jack Dorsey: Every Company Can Now Be a Mini-AGI

Jack Dorsey (Block CEO) and Roelof Botha (Sequoia partner and Block board member) join to discuss a bold claim they wrote about recently: the traditional corporate hierarchy isn't just inefficient — it's obsolete. Jack made one of the toughest calls in recent business history: cutting 40% of his workforce and rebuilding the company from the ground up around what he calls an AI "intelligence layer." We get into how that conversation went down, the math they used to land on a number, and why he's convinced that acting from a position of strength beats reacting from one of weakness. Jack breaks down his vision for simplifying into just three roles, and what it means to replace a pyramid org chart with a circle — AI at the center, and people at the edge. Roelof, who helped think through the restructuring, shares his perspective on how AI-native startups are building differently, and what CEO qualities are timeless. I've eliminated org charts before. I know how hard this is. But Jack is doing something I never had the tools to pull off. If you're a founder wondering whether your hierarchy is working for you or against you, this one will make you uncomfortable in the best way.

2 kwi

•

1 godz. 4 min
11 cze

Google DeepMind's Logan Kilpatrick: Why the Model Eats the Harness

The entire startup ecosystem is racing to build agent harnesses. Logan Kilpatrick, who leads Google AI Studio and the Gemini API, argues that scramble has a roughly 12-month shelf life. Models will absorb the scaffolding and run it natively, so the edge moves elsewhere. Google's own bet runs in parallel: a single agent harness, born from the Windsurf team and now called Antigravity, has become the connective tissue across search, the Gemini app, Cloud, and AI Studio — the role Gemini-the-model used to play. Logan makes the case that coding already feels like narrow superintelligence, and that "jagged" vertical superintelligence (in math, finance, and science) will arrive well before AGI. He argues Google's real goal is maximizing outcomes for users, not eyeball time. He unpacks Omni, the single model built to replace multiple separate systems Google once trained for text, audio, music, image, and video. His throughline: AI is an accelerant for human ambition, not a substitute for it. Hosted by Sonya Huang, Sequoia Capital

11 cze

•

51 min
11.12.2025

Scaling AI Rocketships: ElevenLabs’ Mati Staniszewski & Lovable’s Anton Osika

This one’s a treat: two AI-native CEOs building some of the world’s fastest-growing startups from outside of Silicon Valley. Mati and Anton are navigating a world that’s moving 10X faster than it was when I was CEO of HubSpot. We dig into the realities of what it’s like scaling today: managing co-founder relationships when you're the only person you can complain to, delegating while staying in founder mode, building exec teams that blend experience with homegrown talent, and why lightweight planning rhythms are key when the AI tech stack changes every six months. Both share tactical advice on managing chaos, from email triage systems to no-meeting days. They open up on Europe's advantages (hungry talent, less competition) and disadvantages (thinner executive bench), the 9-9-6 work culture debate, and why the next generation of European founders could finally build trillion-dollar companies. I thought these guys shared an honest look at what it really takes to lead through hypergrowth these days.

11.12.2025

•

57 min
30 kwi

Demis Hassabis on Building DeepMind, AlphaFold, and the Final Stretch to AGI

Demis Hassabis, co-founder and CEO of Google DeepMind and 2024 Nobel laureate in chemistry for AlphaFold, joins Sequoia partner Konstantine Buhler at AI Ascent 2026 for a wide-ranging conversation about the path to AGI and what comes after. He explains why he believes AGI is achievable by 2030, why drug discovery could collapse from ten years to days, and why we should think of information, not matter or energy, as the most fundamental substance in the universe. Also: what Einstein would tell us about the limits of today's models, and why the next year or two will be critical for humanity.

30 kwi

•

27 min
2 cze

Knowing What Your Customers Want, All the Time: Listen Labs' Alfred Wahlforss

Alfred Wahlforss, co-founder and CEO of Listen Labs, is building an AI agent that interviews your customers at a scale no focus group ever could—thousands of voice conversations at once, drawn from an audience of 30 million people. A year after launch, Listen serves hundreds of Fortune 100s to Startups including Microsoft, Google, NBC Universal, P&G, Anthropic, Cursor, and Cognition. Alfred explains the counterintuitive finding underneath it all: people are often more honest with an AI than a human interviewer, opening up to a non-judgmental entity that costs less and never makes them feel rushed. He walks through why interview transcripts—not credit card data or behavioral logs—turn out to be the richest fuel for predicting how customers will behave, how Listen back-tests its simulations to know which questions it can and can't answer, and why 80% of the company's engineering goes into building the right audience. As AGI makes building trivial, Alfred argues the scarce resource becomes knowing what to build. That's the loop Listen wants to own.

2 cze

•

40 min

We help the daring build legendary companies – from idea to IPO and beyond.