Rocky Yu
Burlingame, California, Estados Unidos
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Building AGI (House) along w many amazing AI founders and researchers.
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Rocky Yu ha compartido estoHuge congratulations! Alex Mashrabov and team!Rocky Yu ha compartido estoToday, Higgsfield crossed $1B in annualized revenue. 18 months since launch. We’ve grown 20x in a single year, and the momentum across the business is incredible: • Enterprise adoption is up 115% month-over-month (driven by an enterprise team of less than 20 people!) • 300% net revenue retention • Positive gross margins since the beginning of the year I'm so proud of our team. Almost all of our founding members are still with us today, proving that compounding talent is the ultimate advantage. They blend world-class engineering with creative DNA, driving relentless speed and execution. Higgsfield remains #1 in multimedia AI by helping businesses scale revenue while cutting production costs by up to 97%. With 78% of Fortune 500 brands and more than 32 million creators powered by our platform, our hyper-focus is on delivering the best creative workflow and efficiency. But we are barely scratching the surface. LFG. 🚀
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Rocky Yu ha compartido estoRocky Yu ha compartido esto6 days. well done São Paulo Tech Week. non-stop momentum connecting capital, founders, AI, and leadership across LATAM. a quick recap of how it went down: Sunday kicked off with our biggest Tech Run yet — 160 people running through the rain at USP. full setup (portico, recovery area, bib numbers, medals). huge tks to SaaSholic, Pinheiro Neto Advogados, IPT - Instituto de Pesquisas Tecnológicas, Desk Manager, and Google (first time Google for Startups hosted massage therapists in their space). Monday all-day Cubo Conecta, an exclusive Breakfast w/ AGI HOUSE for our AI Native community (out of stealth, but keeping it invite-only), taking the stage with Rocky Yu, and wrapping up a Lunch w/ Rocky (Founder & CEO, AGI House) and Cubo Investors. Tuesday Women’s Brunch at Casa Seva, my absolute favorite. i wanted to bring a bit of creative curation here: instead of the standard format, why not host it inside an art gallery with the artist guiding us through the exhibition? centered around "Nem todo solo seco é morto", tks Marina Marinangelo, Lívia Cunha, and Juliana Freitas for such a provoking panel! Wednesday 1st edition of our Family Gathering w/ Itaú Family Office, LAVCA (tks Marcelo Pizzato and Carlos Ramos de la Vega), and Altos Ventures diving deep into VC & AI in LATAM. followed by VC Day (ABVCAP) at Cubo and a closed-door SAP dinner (cheers Teresa Hoffmeister) w/ 15 top VCs and PEs (Warburg Pincus, Crescera, Patria & more). Thursday welcoming a distinguished VC delegation from China at Cubo Itaú Friday wearing my Female Force Latam hat for Women AI Native w/ Gama House (tks Fernanda Markiewicz Fernandes for reaching out to build this agenda together!), and closing the week with our Funding Lunch at Cubo w/ São Paulo Negócios LATAM’s tech ecosystem is operating on a whole different level. massive shoutout to Lia Secomandi (Canary) and Gustavo Ahrends(Norte) — not just for the incredible events, but for driving a real movement across São Paulo. you guys elevated the entire week. tks to all partners, founders, and investors who made this iconic. on to the next.. Thais Melendez Marcia Kimie Thiago José da Silva Célio Fabiano William Cordeiro Paulo Costa Gabriella Sant'Anna Ramon Fraga Resende Brunna Zogbi Lígia Clarindo Thayara Borges Isadora Jacques Ana Lu Guimarães Mayara Rodrigues
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Rocky Yu ha compartido estoWill be hosting the CEO of NEC Corporation to talk about enterprise AI deployment AGI House build day this Saturday, space is limited, builders working on Enterprise AI FDE, welcome to RSVP.Rocky Yu ha compartido estoEnterprise AI pain point: not the model, but post‑demo delivery. Around 90% agent pilots fail production: security blocks, tool‑call instability, CIO pricing gaps. 17% enterprise agent deployment now; 60%+ target rollout in 2 years. AGI House is bringing together the best builders for a one-day sprint on taking agents inside real companies, with legacy systems, regulated data, and real accountability. We'll be working on agent identity and permissions, evals that catch failures before customers do, human-in-the-loop controls that regulators accept, and the forward-deployed patterns that turn one working pilot into fifty. 🤝Sponsor: Altman Solon 📣Speaker: Dawn Song , Roland Gavrilescu 💰Prizes: $5k cash + exa credits. 🙌Come and join: https://lnkd.in/gGnZw9iR
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Rocky Yu ha compartido estoRocky Yu ha compartido estoWhat Happens When AI Starts Building Better AI? | Understanding RSI What if AI didn’t just answer questions—but started helping create more capable versions of itself? That’s the idea behind RSI (Recursive Self-Improvement), an increasingly important topic in AI. Traditionally, AI progress has largely depended on humans: Human research → New methods → Code → Experiments → Analysis → Better models → Next-generation AI But what happens if AI begins participating in more of this process—reading papers, generating hypotheses, writing code, designing experiments, discovering algorithms, optimizing training, and even evaluating other AI systems? The loop could start to look like this: AI-assisted R&D → Better AI → Better AI becomes a more capable “AI researcher” → Faster R&D → Even better AI → ♾️ The key idea is this: As AI becomes more capable, its ability to help make AI even more capable could improve as well. That creates the possibility of a positive feedback loop. Tasks that once took human research teams months could potentially be compressed into weeks or days. If each generation of AI also accelerates the development of the next, progress could shift from conventional model-by-model improvements toward much faster, compounding cycles of innovation. We’re already seeing early explorations of this idea. For example, Google DeepMind’s AlphaEvolve demonstrates how AI agents can combine large language models with automated evaluation to discover and improve algorithms. AI-for-AI research, automated experimentation, self-play, and code optimization are also pushing AI deeper into the process of AI development itself. But this doesn’t mean true RSI has already arrived. AI writing better code ≠ AI endlessly improving itself. The more important questions are: How much of the AI R&D loop can AI actually take on? Can each capability improvement accelerate the next round of research? How many times can that feedback loop continue? Will compute, data, chips, or real-world experimentation become bottlenecks? And as iteration speeds up, how do we evaluate and control increasingly capable systems? That’s what makes RSI so fascinating. The question isn’t simply whether AI could suddenly become “superintelligent.” It’s something more fundamental: What happens to the pace of intelligence when AI begins helping create better AI? In the future, we may not only use AI to solve problems. We may increasingly use AI to build better problem-solving machines. And when intelligence begins improving intelligence itself, The Recursive Loop truly begins to close. #rsi #agi #agihouse #ai
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Rocky Yu ha compartido estoOne evening, Aqib Hasnain called to tell me one of our partners had filed a patent on something they found with Mithrl. It didn't make sense at first. We built agents to run analyses faster, and a patent is a different kind of output. But it was real, it was theirs, and it held up. Then it happened again. More than half a dozen now, all owned by the scientists who did the work. Around the same time, another partner mentioned in a routine check-in that program decisions which used to take weeks were taking hours, up to 32 times faster, and that they had done the math: tens of thousands of hours, millions of dollars. We hadn't asked. They tracked it because it mattered to them. That's when we knew. Our partners weren't just using Mithrl to go faster. They were building on it. Program decisions were being made on it, and patents were coming out of it. We weren't building a faster way to analyze data. We were building the infrastructure biopharma R&D runs on: validated biology, deployed inside our partners' environments, where what they find belongs to them. Today we're announcing our $20M Series A, led by Obvious Ventures with participation from Headline, AGI House and senior pharmaceutical executives who had run these programs before. Mithrl-1, our biomedical world model, launches soon. Thank you to our partners, whose results told us what we were actually building, to the team who built it, and to Natalie Breymeyerr and Axios for covering it. More soon. Now back to work. 🚀
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Rocky Yu ha compartido estoHumble the idea of AGI House traveled far to São Paulo, Brazil and made an impact here! Keep up the great work Felipe PalharesRocky Yu ha compartido estoA few months ago, we became part of the AI Native Founders Program at Cubo Itaú. Now, we can finally talk about it. Seeing this come to life feels especially meaningful to me. The idea started over lunch with Laura Marchiori, talking about how we could bring together founders who aren’t just “using AI,” but are building companies with AI at the core of their strategy, product, and way of operating. One of those conversations that starts with, “What if we…?” and, not long after, becomes something real. Thank you for that, Laura! Today, only 15 startups have been selected to be part of this group. A big part of the inspiration came from AGI House and its ability to create not just a space or a community, but a culture around extremely ambitious people thinking together about what comes next. One of the most special moments was having the opportunity to sit down for coffee today with Rocky Yu, Founder and CEO of AGI House. We talked about the frontier AI labs, community, how the right environments can amplify exceptional people, and, most importantly, how we can bring more of this mindset to Brazil and create spaces where founders share knowledge, challenge one another, and accelerate the way they build. To me, being AI Native has never simply meant adding artificial intelligence to a company. It means rethinking, from first principles, what a company should look like in a world where intelligence will no longer be a scarce resource. If you’re building with AI-native first principles, reach out — I’d love to talk about it.
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Rocky Yu ha compartido estoRocky Yu ha compartido estoGot some news: we are almost getting out of stealth. Quem acompanhou meus últimos posts já vinha pegando alguns spoilers e ganchos na agenda da SP Tech Week. Nesta segunda-feira (14/09), no Cubo Conecta, o nosso AI Native Founders Program sai oficialmente de stealth, mas continua invite only. São 15 founders no primeiro cohort com um único objetivo: construir suas empresas AI Native juntos, ao lado de quem também já fez. Um pouco do nível dos empreendedores: 8 deles já tiveram exit (uma para o iFood, um para player global). E mesmo que muitos ainda estejam em stealth, já levantaram mais de USD 4M para essa nova jornada. Quem cura quem entra é quem tá dentro, uma serendipidade calculada para colocar as pessoas certas na mesma sala. É sobre high-signal communities, densidade de founders e a tese de AI-native companies que vou conversar com o Rocky Yu, fundador da AGI House na segunda-feira durante o Conecta. Inclusive hoje é o último dia das inscrições, link nos comentários.
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Rocky Yu ha compartido estoRocky Yu ha compartido estoThe next generation of AI won’t be built by models alone. It will be built by the people, ideas, capital, and real-world experimentation around them. That’s what we’re building at AGI House. From a technical community to an ecosystem connecting 20,000+ AI builders, researchers, founders, and investors, AGI House has evolved around three core pillars: Community. Ventures. Lab. Together, they create a path from frontier conversations and research → to companies → to real-world AI deployment. Over the past three years, that ecosystem has brought together some of the brightest minds in AI through 200+ build days, hackathons, research discussions, founder dinners, and technical gatherings. And we’re just getting started. The Home for AI Builders. Swipe to see what AGI House is all about → #AGIHouse #AI #ArtificialIntelligence #AIBuilders #AIResearch #Startups #SiliconValley #AI
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Rocky Yu ha compartido estoRocky Yu ha compartido estoHey! O Conecta 2026 está chegando, e esse ano construímos uma agenda para provocar discussões super relevantes para quem trabalha com inovação, tecnologia e negócios. Olha quem estará por aqui, no palco principal: Teremos Caio Amato, Global President Oakley & Sports Hub na EssilorLuxottica, Advisory do Cubo \o/, trazendo uma visão sobre criatividade, cultura e vantagem competitiva. Direto da fronteira da tecnologia global, Rocky Yu, Founder & CEO da AGI House, vai falar sobre como a IA está reduzindo a distância entre uma boa ideia e a construção de negócios exponenciais. Em seguida, olharemos para os movimentos de venture capital na América Latina com Carlos Ramos de la Vega, da LAVCA, e Dillon Krasnigor, da Altos Ventures. Além disso, Maximiliano Selistre Carlomagno, Founding Partner da Innoscience, também estará com a gente, trazendo dados e insights sobre o panorama dos profissionais de inovação no Brasil e as novas competências exigidas pelo mercado. E, para fechar o dia, Aretha Duarte, primeira mulher negra latino-americana a chegar ao cume do Everest, conecta sua trajetória a temas como resiliência, planejamento, risco e tomada de decisão. Vou ter o prazer de abrir esse encontro recheado de conteúdo, boas trocas e gente que está transformando mercados na prática. Nos vemos no Conecta 2026! Garanta a sua inscrição: https://conecta.cubo.itau/
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Rocky Yu ha reaccionado a estoRocky Yu ha reaccionado a esto“Pessimists sound smart. Optimists make money.” AI may be the perfect market for this old investing truth. As an investment team, we are in a constant state of debate. But when I step back, most of those debates seem to come down to one fundamental tension: The bear case writes itself: too much capital, stretched valuations, power constraints, commoditizing models. Some of it will undoubtedly prove right. But the more interesting question is what happens if we are still underestimating the magnitude of this shift. The best investments rarely feel obvious when you make them. By the time the future becomes consensus, the real opportunity was believing in it before it was. What if the biggest mistake in AI investing turns out not to be overestimating it, but underestimating it?
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Rocky Yu ha recomendado estoRocky Yu ha recomendado estoCognition has crossed $1B in annual run rate This is an amazing milestone but we owe it to our customers. We work together with them and our team on the most challenging problems and it shows in the product and how we collaborate Honored to be a part of this moment, but there’s much more work to be done
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Rocky Yu ha recomendado estoRocky Yu ha recomendado estoToday, Higgsfield crossed $1B in annualized revenue. 18 months since launch. We’ve grown 20x in a single year, and the momentum across the business is incredible: • Enterprise adoption is up 115% month-over-month (driven by an enterprise team of less than 20 people!) • 300% net revenue retention • Positive gross margins since the beginning of the year I'm so proud of our team. Almost all of our founding members are still with us today, proving that compounding talent is the ultimate advantage. They blend world-class engineering with creative DNA, driving relentless speed and execution. Higgsfield remains #1 in multimedia AI by helping businesses scale revenue while cutting production costs by up to 97%. With 78% of Fortune 500 brands and more than 32 million creators powered by our platform, our hyper-focus is on delivering the best creative workflow and efficiency. But we are barely scratching the surface. LFG. 🚀
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Rocky Yu ha recomendado estoRocky Yu ha recomendado esto6 days. well done São Paulo Tech Week. non-stop momentum connecting capital, founders, AI, and leadership across LATAM. a quick recap of how it went down: Sunday kicked off with our biggest Tech Run yet — 160 people running through the rain at USP. full setup (portico, recovery area, bib numbers, medals). huge tks to SaaSholic, Pinheiro Neto Advogados, IPT - Instituto de Pesquisas Tecnológicas, Desk Manager, and Google (first time Google for Startups hosted massage therapists in their space). Monday all-day Cubo Conecta, an exclusive Breakfast w/ AGI HOUSE for our AI Native community (out of stealth, but keeping it invite-only), taking the stage with Rocky Yu, and wrapping up a Lunch w/ Rocky (Founder & CEO, AGI House) and Cubo Investors. Tuesday Women’s Brunch at Casa Seva, my absolute favorite. i wanted to bring a bit of creative curation here: instead of the standard format, why not host it inside an art gallery with the artist guiding us through the exhibition? centered around "Nem todo solo seco é morto", tks Marina Marinangelo, Lívia Cunha, and Juliana Freitas for such a provoking panel! Wednesday 1st edition of our Family Gathering w/ Itaú Family Office, LAVCA (tks Marcelo Pizzato and Carlos Ramos de la Vega), and Altos Ventures diving deep into VC & AI in LATAM. followed by VC Day (ABVCAP) at Cubo and a closed-door SAP dinner (cheers Teresa Hoffmeister) w/ 15 top VCs and PEs (Warburg Pincus, Crescera, Patria & more). Thursday welcoming a distinguished VC delegation from China at Cubo Itaú Friday wearing my Female Force Latam hat for Women AI Native w/ Gama House (tks Fernanda Markiewicz Fernandes for reaching out to build this agenda together!), and closing the week with our Funding Lunch at Cubo w/ São Paulo Negócios LATAM’s tech ecosystem is operating on a whole different level. massive shoutout to Lia Secomandi (Canary) and Gustavo Ahrends(Norte) — not just for the incredible events, but for driving a real movement across São Paulo. you guys elevated the entire week. tks to all partners, founders, and investors who made this iconic. on to the next.. Thais Melendez Marcia Kimie Thiago José da Silva Célio Fabiano William Cordeiro Paulo Costa Gabriella Sant'Anna Ramon Fraga Resende Brunna Zogbi Lígia Clarindo Thayara Borges Isadora Jacques Ana Lu Guimarães Mayara Rodrigues
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Rocky Yu ha recomendado estoRocky Yu ha recomendado estoExcited for Snorkel AI to announce that they have raised $350M at a $3.5B valuation and have crossed $375M in annual revenue run rate. While AI has changed dramatically since Snorkel was founded in 2019 and we at Greylock Partners led their Seed and Series A, Alexander Ratner and team have been consistent in their belief that data is the very core of AI. Spending years at Stanford, and then at Snorkel, pioneering a different approach to data: treating it as a product and technology problem, combining expert knowledge with deep technology to drive much higher quality data, significant technology leverage, and very attractive unit economics. Snorkel's approach is powering the agentic and RSI wave across the frontier labs, applied AI companies and large enterprises. On a personal note, I couldn't be more proud of Alex. He has navigated an industry that evolves at an extraordinary pace while maintaining unwavering focus on the company's north star and building tremendous business momentum. He is a very special leader. And as a fun relic of history: a photo of the original Snorkel team when they just got started building out of Greylock's Menlo Park office :) cc Greylock Partners, Paroma Varma, Henry Kiss Ehrenberg, Braden Hancock, Chris Re, Vincent Sunn Chen, Anand Raghavan, Jimmy Hillis, Raviraj Jain, Ravi Mhatre, Todd Arfman, Aaron Schildkrout
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Rocky Yu ha recomendado estoResearch got us here, and research will get us to what's next. Proud of the Snorkel AI team and grateful for the support behind our next chapterRocky Yu ha recomendado estoI'm excited to announce Snorkel AI's $350M Series E at $3.5B, led by Insight Partners and S32. We've grown 18x+ in the last 12 months since launching our Data-as-a-Service offering, passing $375M ARRR this week. As AI advances to superhuman capabilities, AI data & environment development must advance with it - and basic staffing and crowdsourcing approaches are not enough. AI progress now requires deep research and technology work that combines human expertise with specialized AI in compounding ways. Snorkel AI is building the RSI data engine and frontier data lab for this next phase. We're honored to have the support of existing investors Addition, Lightspeed, Greylock Partners, GV (Google Ventures), Prosperity7 Ventures, Factory, Wells Fargo, Walden Catalyst Ventures, and new investors Third Point LLC, March Capital, Blumberg Capital, Allegis Capital, Frontline Ventures, and Standard VC. – Snorkel AI started as a research project a decade ago at Stanford Artificial Intelligence Laboratory (SAIL). Our thesis was simple: AI progress would become increasingly data-centric – and therefore data development should be studied as a true research and technology problem, not just a staffing and crowdsourcing one. Today, as AI capabilities verge on superhuman, building the data and environments to safely measure and train AI is becoming too hard for even the smartest human experts to do alone. Only humans and AI agents, collaborating together in compounding ways, can meet the accelerating needs of the frontier, and keep humans in the driver’s seat of AI progress for decades to come. At Snorkel AI, we are building the data lab to define the shape of this new “Data 2.0” frontier, and the new paradigms of human-computer interaction needed to advance it. Our key focus is building the RSI engine for data, where specialized AI models accelerate and improve human expert output, and in turn, scaled human supervision is used to continuously evaluate and improve these models – creating a powerful compounding loop to keep pace with an accelerating RSI frontier. With this round of funding, we are also doubling down on our commitments to support data development for open benchmarking and evaluation (more news here soon!); an increasingly diverse ecosystem of general and specialized intelligence; and a path to safe, well-aligned AI built on robust training and evaluation data. Data development will guide and drive the next stages of AI – and must do so in a human-centric, AI accelerated, open, diverse, and safe way. We are excited to support this mission in the next decade of research ahead at Snorkel AI. More thoughts here: https://lnkd.in/gWjpQuPE
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Rocky Yu ha recomendado estoRocky Yu ha recomendado estoWe co-hosted a build day with AGI House and Coframe this weekend. The theme was long horizon agents. Two of the three winning teams ended up building on Stash. Shubham Shinde took first with RUFUS, which reads real agent traces to localize where and why a run failed, then clusters those failures into a taxonomy that grows over time. He validated it on ten real Codex sessions where the same macOS notarization bug got independently re-diagnosed four separate times before anyone actually fixed it. The way he put it: long horizon agents do not just fail, they fail and forget. Nikhil Krishnaswamy took second with Daisy Chained Procedural Memory. Not built on us, but close to what we think about all day. His framing is that a step which works 99% of the time, run 100 times in a row, finishes clean only 37% of the time. So instead of retrieving one procedure and replaying it, he treats memory as a graph of verified subtasks and constructs a chain through it. Grace Hao took third with Vaccine. When a prompt injection breaches one agent in a fleet, it isolates the step where control got hijacked and distills the exploit into a signature, so every other agent inherits immunity to an attack it never saw. Thanks to AGI House and Coframe for putting it together, and to everyone who showed up and shipped something. P.S. Henry Dowling may have been a judge.
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Automated Detection of Source-Based Artifacts in an Information Signal
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Neal Ghosh
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Brittany Walker
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Voice is a super interesting modality right now - maybe the first modality we're seeing move to open source models across a number of scale ups / enterprises. Reliability concerns, high costs, and open source model performance are pushing engineers to do their own fine tuning vs. relying on third-party vendors of proprietary models. Many of these orgs have already been collecting their own first-party data and now with third-party vendors like Extrian, David AI, etc they can train really high quality models. RL has been insanely hyped, but it's been unclear how long it will take scale ups and enterprises to actually lean in. Voice AI might be hitting that inflection point faster than expected.
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