Anmelden
Cover von Training Data

Technologie

Training Data

von Sequoia Capital

Website RSS

Folgenzu den neuesten

  1. From DevOps ‘Heart Attacks’ to AI-Powered Diagnostics With Traversal’s AI Agents

    Anish Agarwal and Raj Agrawal, co-founders of Traversal, are transforming how enterprises handle critical system failures. Their AI agents can perform root cause analysis in 2-4 minutes instead of the hours typically spent by teams of engin

  2. The Breakthroughs Needed for AGI Have Already Been Made: OpenAI Former Research Head Bob McGrew

    As OpenAI's former Head of Research, Bob McGrew witnessed the company's evolution from GPT-3’s breakthrough to today's reasoning models. He argues that there are three legs of the stool for AGI—Transformers, scaled pre-training, and reasoni

  3. OpenAI Codex Team: From Coding Autocomplete to Asynchronous Autonomous Agents

    Hanson Wang and Alexander Embiricos from OpenAI's Codex team discuss their latest AI coding agent that works independently in its own environment for up to 30 minutes, generating full pull requests from simple task descriptions. They explai

  4. Google I/O Afterparty: The Future of Human-AI Collaboration, From Veo to Mariner

    Fresh off impressive releases at Google’s I/O event, three Google Labs leaders explain how they’re reimagining creative tools and productivity workflows. Thomas Iljic details how video generation is merging filmmaking with gaming through ge

  5. From Data Centers to Dyson Spheres: P-1 AI's Path to Hardware Engineering AGI

    Former Airbus CTO Paul Eremenko shares his vision for bringing AI to physical engineering, starting with Archie—an AI agent that works alongside human engineers. P-1 AI is tackling the challenge of generating synthetic training data to teac

  6. Gong’s Amit Bendov: From Meeting Recordings to Revenue AI

    CEO Amit Bendov shares how Gong evolved from a meeting transcription tool to an AI-powered revenue platform that's increasing sales capacity by up to 60%. He explains why task-specific AI agents are the key to enterprise adoption, and why h

  7. LIVE: Google's Jeff Dean on the Coming Transformations in AI

    At AI Ascent 2025, Jeff Dean makes bold predictions. Discover how the pioneer behind Google's TPUs and foundational AI research sees the technology evolving, from specialized hardware to more organic systems, and future engineering capabili

  8. LIVE: Ambient Agents and the New Agent Inbox ft. Harrison Chase of LangChain

    Recorded live at Sequoia’s AI Ascent 2025: LangChain CEO Harrison Chase introduces the concept of ambient agents, AI systems that operate continuously in the background responding to events rather than direct human prompts. Learn how these

  9. LIVE: How AI is Reinventing Software Business Models ft. Bret Taylor of Sierra

    Recorded live at Sequoia’s AI Ascent 2025: Sierra co-founder Bret Taylor discusses why AI is driving a fundamental shift from subscription-based pricing to outcomes-based models. Learn why this transition is harder for incumbents than start

  10. LIVE: Sam Altman of OpenAI on Building the ‘Core AI Subscription’ for Your Life

    Recorded live at Sequoia’s AI Ascent 2025: Sam reflects on OpenAI’s evolution from a 14-person research lab to a dominant AI platform. He envisions transforming ChatGPT into a deeply personal AI service that remembers your entire life's con

  11. Workday CEO Carl Eschenbach: Building the System of Record for the AI Era

    Workday CEO and Sequoia partner Carl Eschenbach explains how the company is evolving its platform to handle both human and AI workers. He shares Workday’s three-pronged approach to monetizing AI through seat-based pricing, role-based agents

  12. The Quest to ‘Solve All Diseases’ with AI: Isomorphic Labs’ Max Jaderberg

    After pioneering reinforcement learning breakthroughs at DeepMind with Capture the Flag and AlphaStar, Max Jaderberg aims to revolutionize drug discovery with AI as Chief AI Officer of Isomorphic Labs, which was spun out of DeepMind. He dis

  13. Pricing in the AI Era: From Inputs to Outcomes, with Paid CEO Manny Medina

    Former Outreach CEO Manny Medina discusses his new company Paid, which provides billing, pricing and margin management tools for AI companies. He explains why traditional SaaS pricing models don’t work for AI businesses, and breaks down eme

  14. Arc Institute's Patrick Hsu on Building an App Store for Biology with AI

    Patrick Hsu, co-founder of Arc Institute, discusses the opportunities for AI in biology beyond just drug development, and how Evo 2, their new biology foundation model, is enabling a broad ecosystem of applications. Evo 2 was trained on a v

  15. Replit CEO Amjad Masad on 1 Billion Developers: A Better End State than AGI?

    Amjad Masad set out more than a decade ago to pursue the dream of unleashing 1B software creators around the world. With millions of Replit users pre-ChatGPT, that vision was already becoming a reality. Turbocharged by LLMs, the vision of e

  16. Why CRM Needs an AI Revolution, with Day.ai Founder Christopher O’Donnell

    Christopher O’Donnell believes the fundamental problems with CRM—incomplete data, complex workflows, siloed work products and the fear of leads falling through the cracks—can finally be solved through AI. Founder of Day.ai and former Chief

  17. From Software Engineers to AI Word Artisans: Filip Kozera of Wordware

    Filip Kozera sees parallels between Excel’s democratization of data analytics and Wordware’s mission to put AI development in the hands of knowledge workers. Drawing inspiration from Excel’s 750 million users (compared to 30 million softwar

  18. Josh Woodward: Google Labs is Rapidly Building AI Products from 0-to-1

    As VP of Google Labs, Josh Woodward leads teams exploring the frontiers of AI applications. He shares insights on their rapid development process, why today’s written prompts will become outdated and how AI is transforming everything from v

  19. How AI Breakout Harvey is Transforming Legal Services, with CEO Winston Weinberg

    Harvey CEO Winston Weinberg explains why success in legal AI requires more than just model capabilities—it demands deep process expertise that doesn’t exist online. He shares how Harvey balances rapid product development with earning trust

  20. The AI Product Going Viral With Doctors: OpenEvidence, with CEO Daniel Nadler

    OpenEvidence is transforming how doctors access medical knowledge at the point of care, from the biggest medical establishments to small practices serving rural communities. Founder Daniel Nadler explains his team’s insight that training sm

  21. OpenAI’s Deep Research Team on Why Reinforcement Learning is the Future for AI Agents

    OpenAI’s Isa Fulford and Josh Tobin discuss how the company’s newest agent, Deep Research, represents a breakthrough in AI research capabilities by training models end-to-end rather than using hand-coded operational graphs. The product lead

  22. Palo Alto Networks’ Nikesh Arora: AI, Security and the New World Order

    Palo Alto Networks’s CEO Nikesh Arora dispels DeepSeek hype by detailing all of the guardrails enterprises need to have in place to give AI agents “arms and legs.” No matter the model, deploying applications for precision-use cases means su

  23. MongoDB’s Sahir Azam: Vector Databases and the Data Structure of AI

    MongoDB product leader Sahir Azam explains how vector databases have evolved from semantic search to become the essential memory and state layer for AI applications. He describes his view of how AI is transforming software development gener

  24. Roblox Studio Head Stef Corazza: Using AI to Empower Creators

    Stef Corazza leads generative AI development at Roblox after previously building Adobe’s 3D and AR platforms. His technical expertise, combined with Roblox’s unique relationship with its users, has led to the infusion of AI into its creatio

  25. ReflectionAI Founder Ioannis Antonoglou: From AlphaGo to AGI

    Ioannis Antonoglou, founding engineer at DeepMind and co-founder of ReflectionAI, has seen the triumphs of reinforcement learning firsthand. From AlphaGo to AlphaZero and MuZero, Ioannis has built the most powerful agents in the world. Ioan

  26. Kumo’s Hema Raghavan: Turning Graph AI into ROI

    Hema Raghavan is co-founder of Kumo, a company that makes graph neural networks accessible to enterprises by connecting to their relational data stored in Snowflake and Databricks. Hema talks about how running GNNs on GPUs has led to breakt

  27. Databricks Founder Ion Stoica: Turning Academic Open Source into Startup Success

    Berkeley professor Ion Stoica, co-founder of Databricks and Anyscale, transformed the open source projects Spark and Ray into successful AI infrastructure companies. He talks about what mattered most for Databricks' success -- the focus on

  28. XBOW CEO and GitHub Copilot Creator Oege de Moor: Cracking the Code on Offensive Security With AI

    Oege de Moor, the creator of GitHub Copilot, discusses how XBOW’s AI offensive security system matches and even outperforms top human penetration testers, completing security assessments in minutes instead of days. The team’s speed and focu

  29. Ramp CEO Eric Glyman: Using AI to Build “Self-Driving Money”

    When ChatGPT ushered in a new paradigm of AI in everyday use, many companies attempted to adapt to the new paradigm by rushing to add chat interfaces to their products. Eric has a different take—he doesn’t think chatbots are the right form

  30. Dust’s Gabriel Hubert and Stanislas Polu: Getting the Most From AI With Multiple Custom Agents

    Founded in early 2023 after spending years at Stripe and OpenAI, Gabriel Hubert and Stanislas Polu started Dust with the view that one model will not rule them all, and that multi-model integration will be key to getting the most value out

Ältere Folgen

Anmelden oder registrieren

Jetzt

0:00 / 0:00