Podcast appearances and mentions of elad gil

Aravind Srinivas is the co-founder and CEO of Perplexity AI, the world's first generally available conversation answer engine. Founded in August 2022 with Johnny Ho, Andy Konwinski, and Denis Yarats, Perplexity delivers accurate, sourced answers to any question. Born and raised in Chennai, India, Srinivas moved to the U.S. in 2017 and earned a PhD in Computer Science from the University of California, Berkeley, where he also taught a course in Deep Unsupervised Learning. He previously held prominent research roles at OpenAI, DeepMind, and Google, and he has positioned Perplexity as a leader in AI-powered information access with backing from top investors including Jeff Bezos, Elad Gil, Nat Friedman, and many others. ------ Thank you to the sponsors that fuel our podcast and our team: Squarespace https://squarespace.com/tetra Use code 'TETRA' ------ LMNT Electrolytes https://drinklmnt.com/tetra Use code 'TETRA' ------ Athletic Nicotine https://www.athleticnicotine.com/tetra Use code 'TETRA' ------ Sign up to receive Tetragrammaton Transmissions https://www.tetragrammaton.com/join-newsletter

2024 has been a year of transformative technological progress, marked by conversations that have reshaped our understanding of AI's evolution and what lies ahead. Throughout the year, Sarah and Elad have had the privilege of speaking with some of the brightest minds in the field. As we look back on the past months, we're excited to share highlights from some of our favorite No Priors podcast episodes. Featured guests include Jensen Huang (Nvidia), Andrej Karpathy (OpenAI, Tesla), Bret Taylor (Sierra), Aditya Ramesh, Tim Brooks, and Bill Peebles (OpenAI's Sora Team), Dmitri Dolgov (Waymo), Dylan Field (Figma), and Alexandr Wang (Scale). Want to dive deeper? Listen to the full episodes here: NVIDIA's Jensen Huang on AI Chip Design, Scaling Data Centers, and his 10-Year Bet No Priors Ep. 89 | With NVIDIA CEO Jensen Huang  The Road to Autonomous Intelligence, With Andrej Karpathy from OpenAI and Tesla No Priors Ep. 80 | With Andrej Karpathy from OpenAI and Tesla Transforming Customer Service through Company Agents, with Sierra's Bret Taylor No Priors Ep. 82 | With CEO of Sierra Bret Taylor OpenAI's Sora team thinks we've only seen the "GPT-1 of video models" No Priors Ep.61 | OpenAI's Sora Leaders Aditya Ramesh, Tim Brooks and Bill Peebles Waymo's Journey to Full Autonomy: AI Breakthroughs, Safety, and Scaling No Priors Ep. 87 | With Co-CEO of Waymo Dmitri Dolgov Designing the Future: Dylan Field on AI, Collaboration, and Independence No Priors Ep. 55 | With Figma CEO Dylan Field The Data Foundry for AI with Alexandr Wang from Scale No Priors Ep. 65 | With Scale AI CEO Alexandr Wang Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil Timecodes: 0:00 Introduction  0:15 Jensen Huang on building at data-center scale  4:00 Andrej Karpathy on the AI exo-cortex, model control, and a shift to smaller models  7:14 Bret Taylor on the agentic future of business interactions  11:17 OpenAI's Sora team on visual models and their role in AGI  15:53 Waymo's Dmitri Dolgov on bridging the gap to full autonomy and the challenge of 100% accuracy  19:00 Figma's Dylan Field on the future of interfaces and new modalities  23:29 Scale AI's Alexandr Wang on the journey to AGI  26:29 Outro

This ‘lost episode' of Turpentine VC with investor Elad Gil was recorded at a unique moment in time (September 2022) — before ChatGPT, Claude and Perplexity launched. Drawing from his experiences at Google, Elad discusses early ML systems, the open source debate, NVIDIA, labor markets, and AI alignment and shares some behind the scenes anecdotes. — 

What are the best investing opportunities in Tech for 2025? Elad Gil is one of silicon valley's legendary investors. He's backed 40 unicorns including Airbnb, Coinbase, Figma and Stripe to name a few. He's super active in AI and hosts the no priors podcast which is like Bankless but for AI. In this conversation, Elad explores the state of AI and how the industry is evolving, what he thinks about Crypto. and why he's bullish on Tech in general given the new United States political administration. ------

Torsten Reil is the Co-Founder and Co-CEO of Helsing, a new type of defence company providing artificial intelligence to protect our democracies. Torsten has raised over $825M from the likes of Prima Materia, Elad Gil, Accel and General Catalyst. Previously Torsten founded NaturalMotion, one of the UK's most successful games and technology start-ups. Torsten was named as one of MIT's Top 100 Innovators and is a member of the Munich Security Conference Innovation Board. In Today's Episode with Torsten Reil We Discuss: 1. The World Around Us: China, Russia and Trump: What will happen between China and Taiwan? What will happen between Russia and Ukraine? How will a Trump administration impact the US' commitment to fund European defence? What conflict do people not pay enough attention to in the world today? 2. Are We Ready and What Needs to Be Done: Are the west ready to fight against our adversaries as we stand today? What do we need to do to equip ourselves?  What needs to change in our defence budgets? Where do they need to go? How does the procurement process for defence need to change? 3. The Future of War:  Why does Torsten believe the future of war is contactless? In the next wave of defence, what are the most important elements for allies to own? What elements concern Torsten the most? What role does AI and autonomous play in the future of war? 4. Is Europe F********: Why does Torsten believe that Europe's biggest problem is ambition not capital? Why does Torsten believ that we put too much weight on the location in which companies are founded? Why does it not matter? How does Torsten respond to the statement that we do not have the depth of experienced talent in Europe to recruit?  

In this episode, Aydin Mirzaee, CEO and Co-Founder of Fellow.app, shares his journey from founding his first startup to leading a successful meeting productivity platform. As a seasoned entrepreneur, Aydin highlights lessons he learned through building and pivoting startups and his unique strategies for scaling Fellow.app in the competitive SaaS space.Specifically, Aydin discusses:- Lessons learned from early failures and how these shaped his approach to future ventures.- Strategies for building Fellow.app as a “super manager's” tool, focusing on productivity and effective meeting management.- How bootstrapping and navigating pivotal transitions have impacted the development of Fellow.app's core offerings.- The value of testing product ideas with potential customers before investing heavily in development.- Methods for turning user feedback into actionable changes, leading to a more refined product.- Approaches to founder-led sales and why early customer engagement is essential.- Insights into the fundraising process, including timing, relationship-building with investors and navigating term sheet negotiations.Resources Mentioned:Aydin Mirzaee - https://www.linkedin.com/in/aydinmirzaee/Fellow App | LinkedIn - https://www.linkedin.com/company/appfellow/Fellow.App | Website - https://fellow.appSuper Managers Podcast - https://fellow.app/supermanagers/“High Growth Handbook” by Elad Gil - https://www.amazon.com/s?k=high+growth+handbook&language=en_US&adgrpid=147623364602&hvadid=648027981812&hvdev=c&hvlocphy=20822&hvnetw=g&hvqmt=e&hvrand=124458736559167267&hvtargid=kwd-458383828502&hydadcr=21447_13447927&tag=phtxtgostdde-20&ref=pd_sl_1fazbcc4hn_eThis episode is brought to you by:Leverage community-led growth to skyrocket your business. “From Grassroots To Greatness” by author Lloyed Lobo will help you master 13 game-changing rules from some of the most iconic brands in the world — like Apple, Atlassian, CrossFit, Harley-Davidson, HubSpot, Red Bull and many more — to attract superfans of your own that will propel you to new heights. Grab your copy today at FromGrassrootsToGreatness.com.Each year the US and Canadian governments provide more than $20 billion in R&D tax credits and innovation incentives to fund businesses. But the application process is cumbersome, prone to costly audits and receiving the money can take as long as 16 months. Boast automates this process, enabling companies to get more money faster without the paperwork and audit risk. We don't get paid until you do! Find out if you qualify today at https://Boast.AI.Launch Academy is one of the top global tech hubs for international entrepreneurs and a designated organization for Canada's Startup Visa. Since 2012, Launch has worked with more than 6,000 entrepreneurs from over 100 countries, of which 300 have grown their startups to seed and Series A stage and raised over $2 billion in funding. To learn more about Launch's programs or the Canadian Startup Visa, visit https://LaunchAcademy.ca.Content Allies helps B2B companies build revenue-generating podcasts. We recommend them to any B2B company that is looking to launch or streamline its podcast production. Learn more at https://contentallies.com.#supermanager #meetingproductivity #bootstrappingsuccess #product #marketing #innovation #startup #generativeai #AI

Jim talks with Aravind Srinivas, co-founder and CEO of the AI-powered search engine Perplexity. They discuss Jim's use of Perplexity, its wide range of use cases, why Google search is limited by fear of mistakes, retrieval-augmented generation (RAG), citations, coming up with the idea, leveraging existing tools vs inventing everything, the core product experience, how the orchestration engine works, semantic vector databases, testing Perplexity as a hedge fund strategist, the Perplexity API, Perplexity's moat, maintaining cognitive sovereignty, paid tiers, what the company needs to succeed, having individuals as major investors, debunking rumors of acquisition by NVIDIA, affordances for coders, and much more. Episode Transcript Perplexity Aravind Srinivas is the CEO of Perplexity, the conversational "answer engine" that provides precise, user-focused answers to queries — with in-line citations. Aravind co-founded the company in 2022 after working as a research scientist at OpenAI, Google, and DeepMind. To date, Perplexity has raised over $165 million from investors including Jeff Bezos, Nat Friedman, Elad Gil, NVIDIA, and the late Susan Wojciki. He has a PhD in computer science from UC Berkeley and a Bachelors and Masters in Electrical Engineering from the Indian Institute of Technology, Madras.

Episode 635: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk to Elad Gil ( https://x.com/eladgil ) about the three things he looks for when betting on startups, how he became an early investor in Anduril, plus 3 business ideas he thinks someone should go after.  — Show Notes:  (0:00) How to be successful in angel investing (3:00) How to create a bankroll  (5:00) Making the great works of history available to anyone anywhere (7:21) The 1 thing that matters in a business (10:21) How to master a new topic like defense tech (12:15) Investing in Anduril in the first round (15:47) $1b dollar 1 person companies (18:51) Missionary vs mercenary (22:12) Idea: new schools inspired by Ancient Greece (25:49) Idea: A drug that makes you live longer (34:56) Idea: Large scale monuments to flex (44:25) Gil's Guide to Intensive Travel — Links: • Elad's blog - https://eladgil.com/  • Proof School - https://www.proofschool.org/ • BioAge Labs - https://bioagelabs.com/  — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano

Guest: Kyle Hanslovan, CEO & co-founder of Huntress; and Ev Randle, partner at Kleiner PerkinsTalk is cheap, says Huntress CEO Kyle Hanslovan: “I learned real early on that integrity is like one of the very few things, if not the only thing, you can't buy.” En route to Huntress' current status as a $1.5 billion firm with $100 million in ARR, he took a long time to hire new execs, or partner with VC firms.Indeed, Kleiner Perkins partner Ev Randle recalls the deliberation Hanslovan underwent before signing KP's term sheet. “It's pretty rare for a founder's diligence process on you to increase your conviction on them and the business that they're building,” he says. “You just saw that the effort extended across to so many different places and so many details that it's typically not.”Chapters:(01:03) - Learning how things work (03:31) - Default trusting (05:07) - Over-sharing (10:50) - Kyle's leadership style (15:44) - Hiring for conflict (19:24) - Scaling execs (22:52) - Evaluating VCs (28:55) - Pattern-matching (32:13) - Why Huntress is worth $1.5 billion (38:34) - Kyle's childhood and early career (42:00) - The 99 percent (47:49) - Bootstrapping (51:14) - Deep roots (57:47) - Customer love (01:01:14) - “Nothing will stop us” (01:05:50) - Who Huntress is hiring (01:07:22) - What “grit” means to Kyle Mentioned in this episode: Sony, Sam Altman, Nike, Elad Gil and High Growth Handbook, Kim Scott and Radical Candor, JMI Equity, Vinod Khosla, Todd Park, Capterra, Reddit, FUBU, Rippling, the NSA, QuickBooks, Amazon AWS, and South Park.Links:Connect with KyleTwitterLinkedInConnect with EvTwitterLinkedInConnect with JoubinTwitterLinkedInEmail: grit@kleinerperkins.com Learn more about Kleiner PerkinsThis episode was edited by Eric Johnson from LightningPod.fm

Today on No Priors, Sarah Guo and Elad Gil are joined by Eric Steinberger, the co-founder and CEO of Magic.dev. His team is developing a software engineer co-pilot that will act more like a colleague than a tool. They discussed what makes Magic stand out from the crowd of AI co-pilots, the evaluation bar for a truly great AI assistant, and their predictions on what a post-AGI world could look like if the transition is managed with care.  Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @EricSteinb Show Notes:  (0:00) Introduction (0:45) Eric's journey to founding Magic.dev (4:01) Long context windows for more accurate outcomes (10:53) Building a path toward AGI (15:18) Defining what is enough compute for AGI (17:34) Achieving Magic's final UX (20:03) What makes a good AI assistant (22:09) Hiring at Magic (27:10) Impact of AGI (32:44) Eric's north star for Magic (36:09) How Magic will interact in other tools

This Week in Startups is brought to you by… Squarespace. Turn your idea into a new website! Go to https://www.Squarespace.com/TWIST for a free trial. When you're ready to launch, use offer code TWIST to save 10% off your first purchase of a website or domain. CLA. Innovation takes balance. CLA's CPAs, consultants, and wealth advisors can help you get from startup to where you want to end up. Get started now at CLAconnect.com/tech OpenPhone. Create business phone numbers for you and your team that work through an app on your smartphone or desktop. TWiST listeners can get an extra 20% off any plan for your first 6 months at https://www.openphone.com/twist * Todays show: David Weisburd hosts Elad Gil, David York, and Jason Calacanis to discuss Recession fears (2:15), New investment trends (24:44), Geographic and talent concentration in the startup sector (56:48), and more! * Timestamps: (0:00) David Weisburd intros Elad Gil, David York, and Jason Calacanis (2:15) Recession fears and their effects on Silicon Valley and startups (5:18) AI market segments, enterprise adoption, and SaaS spending slowdown (10:55) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST (12:19) Private equity, tech buyouts, and excess capital management (19:35) AI-driven buyouts and efficiency improvements (23:09) CLA - Get started with CLA's CPAs, consultants, and wealth advisors now at https://claconnect.com/tech (24:44) New investment trends and key startup ecosystems (28:10) Founder inspiration and the impact of competitive ecosystems (30:06) Role of accelerators in early-stage investing and startup formation (34:16) Layoffs, FIRE movement, and FTC ruling on non-competes (37:21) OpenPhone - Get 20% off your first six months at https://www.openphone.com/twist (38:48) Liquidity and challenges for LPs in incubators and accelerators (56:48) Geographic and talent concentration in the startup sector (1:02:32) Tech hub movements, office culture, and remote vs. in-office work trends * Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com Check out the TWIST500: https://twist500.com * Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp * Mentioned on the show: https://www.reuters.com/markets/us/futures-slide-amazon-intel-forecasts-disappoint-jobs-data-awaited-2024-08-02 https://www.boringbusinessnerd.com/post/top-startup-accelerators * Follow Elad: X: https://x.com/eladgil LinkedIn: https://www.linkedin.com/in/eladgil Check out: https://eladgil.com * Follow David York: LinkedIn: https://www.linkedin.com/in/david-york-2407295 Check out: https://ttcp.com/ * Follow David Weisburd: X: ⁠⁠https://twitter.com/DWeisburd⁠⁠ LinkedIn: ⁠⁠https://www.linkedin.com/in/dweisburd⁠⁠ Check out: ⁠⁠https://10xcapital.com * Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis * Thank you to our partners: (10:55) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST (23:09) CLA - Get started with CLA's CPAs, consultants, and wealth advisors now at https://claconnect.com/tech (37:21) OpenPhone - Get 20% off your first six months at https://www.openphone.com/twist * Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland * Check out Jason's suite of newsletters: https://substack.com/@calacanis * Follow TWiST: Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups Substack: https://twistartups.substack.com * Subscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

Hunting down receipts and manually filling out invoices kills productivity. This week on No Priors, Sarah Guo and Elad Gil sit down with Pedro Franceschi, co-founder and CEO of Brex. Pedro discusses how Brex is harnessing AI to optimize spend management and automate tedious accounting and compliance tasks for teams. The conversation covers the reliability challenges in AI today, Pedro's insights on the future of fintech in an AI-driven world, and the major transitions Brex has navigated in recent years. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Pedroh96 Show Notes:  (0:00) Introduction (0:32) Brex's business and transitioning to solo CEO (3:04) Building AI into Brex  (7:09) Solving for risk and reliability in AI-enabled financial products (11:41) Allocating resources toward AI investment (14:00) Innovating data use in marketing  (20:00) Building durable businesses in the face of AI (25:36) AI's impact on finance (29:15) Brex's decision to focus on startups and enterprises

Elad Gil is a serial entrepreneur, executive, and one of the greatest tech investors of all time, with early stakes in something like 40 billion-plus dollar companies: AirBnB, Anduril, Coinbase, Figma, Flexport, Instacart, Notion, OpenDoor, Pinterest, Square, Stripe… I could really go on. He's now managing a new billion dollar venture fund, for which he's the sole investor. Elad is also the co-founder of 2 companies: Color Genomics, a company providing genetic testing, software and clinical services for large-scale health programs – and before that, Mixer Labs, a company building location infrastructure for mobile devices that was acquired by Twitter. He worked as a VP at Twitter and also started the mobile team at Google. 0:00 - Intro 6:11 - Blank Slates and Decaying Institutions 8:16 - Western Pessimism and Agendas of Abundance vs Scarcity 12:30 - The Long Boom: Is Innovation Speeding Up? 16:26 - Are Startups Founder Limited or Market Limited? 19:26 - EIR Syndrome and Choosing the Right Market 21:41 - What Makes for a Good Investor, Operator and Entrepreneur? 24:05 - Positives and Negatives of Investing and Operating 26:17 - The Brand Value of Individuals vs Institutions 28:05 - Competing with Massive Firms 30:33 - Market-Driven Investing 33:23 - Starting Companies as Surfing Waves 36:09 - Age of Accomplishment and The Deferral of Adulthood 42:15 - What to Say Yes To 44:21 - Defense Tech and Complacency 49:25 - Private Markets and The Future of Venture 52:11 - Discontinuities in AI 53:49 - On Google 55:16 - LLM Oligopoly and Long-Term Scenarios for AI 1:00:41 - AGI and Sleeping 3 Hours a Night 1:03:19 - AI Doomerism 1:06:05 - The Deterioration of Speed 1:09:27 - Bureaucracy and the State of Nuclear 1:12:52 - Generosity and the Culture of Silicon Valley 1:15:19 - What Should More People Be Thinking About?

This week on No Priors, Sarah Guo and Elad Gil are joined by Howie Liu, the co-founder and CEO of Airtable. Howie discusses their Cobuilder launch, the evolution of Airtable from a simple productivity tool to an enterprise app platform with integrated AI capabilities. They talk about why the conventional wisdom of “app not platform” can be wrong,  why there's a future for low-code in the age of AI and code generation, and where enterprises need help adopting AI. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Howietl Show Notes:  (00:00) Introduction (00:29) The Origin and Evolution of Airtable (02:31) Challenges and Successes in Building Airtable (06:09) Airtable's Transition to Enterprise Solutions (09:44) Insights on Product Management (16:23) Integrating AI into Airtable (21:55) The Future of No Code and AI (30:30) Workshops and Training for AI Adoption (36:28) The Role of Code Generation in No Code Platforms

This week on No Priors, we have a host-only episode. Sarah and Elad catch up to discuss how tech history may be repeating itself. Much like in the early days of the internet, every company is clamoring to incorporate AI into their products or operations while some legacy players are skeptical that investment in AI will pay off. They also get into new opportunities and capabilities that AI is opening up, whether or not incubators are actually effective, and what companies are poised to stand the test of time in the changing tech landscape. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil Show Notes:  (0:00) Introduction (0:16) Old school operators AI misunderstandings (5:10) Tech history is repeating itself with slow AI adoption (6:09) New AI Markets (8:48) AI-backed buyouts (13:03) AI incubation (17:18) Exciting incubating applications (18:26) AI and the public markets (22:20) Staffing AI companies  (25:14) Competition and shrinking head count

Believe or not, we're almost halfway through 2024. Sarah and Elad have spent the first of this year talking with some of the most innovative minds in the AI industry, so we're taking a look at some of our favorite No Priors conversations so far featuring Dylan Field (Figma), Emily Glassberg-Sands (Stripe), Brett Adcock (Figure AI), OpenAI's Sora Team, Scott Wu (Cognition), and Alexandr Wang (Scale).  Watch or listen to the full episodes here: Build AI products at on-AI companies with Emily Glassberg Sands from Stripe Designing the Future: Dylan Field on AI, Collaboration, and Independence The argument for humanoid robots with Brett Adcock from Figure OpenAI's Sora team thinks we've only seen the "GPT-1 of video models" Cognition's Scott Wu on how Devin, the AI software engineer, will work for you The Data Foundry for AI with Alexandr Wang from Scale Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil  Show Notes:  (0:00) Introduction (0:46) Emily Glassberg Sands on the Future of AI and Fintech (4:23 Dylan Field on AI and Human Creative Potential (9:03) Brett Adcock on Running Figure AI's Hardware and Software Processes (12:43) OpenAI's Sora Team on Artists' Creative Experiences with their Model (17:43) Scott Wu Gives Advice for Human Engineers Co-Working with AI (21:06) Alexandr Wang on How Quality Data Builds Confidence in AI Systems

This week on No Priors, Sarah Guo and Elad Gil sit down with Karan Goel and Albert Gu from Cartesia. Karan and Albert first met as Stanford AI Lab PhDs, where their lab invented Space Models or SSMs, a fundamental new primitive for training large-scale foundation models. In 2023, they Founded Cartesia to build real-time intelligence for every device. One year later, Cartesia released Sonic which generates high quality and lifelike speech with a model latency of 135ms—the fastest for a model of this class. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @krandiash | @_albertgu Show Notes:  (0:00) Introduction (0:28) Use Cases for Cartesia and Sonic  (1:32) Karan Goel & Albert Gu's professional backgrounds (5:06) Steady State Models (SSMs) versus Transformer Based Architectures  (11:51) Domain Applications for Hybrid Approaches  (13:10) Text to Speech and Voice (17:29) Data, Size of Models and Efficiency  (20:34) Recent Launch of Text to Speech Product (25:01) Multimodality & Building Blocks (25:54) What's Next at Cartesia?  (28:28) Latency in Text to Speech (29:30) Choosing Research Problems Based on Aesthetic  (31:23) Product Demo (32:48) Cartesia Team & Hiring

The gang focuses on the exit opportunities for AI startups and whether there will be a growing wave of AI buyouts. Plus, debating the surgeon general's warning about social networks and kids. --- Send in a voice message: https://podcasters.spotify.com/pod/show/moreorlesspod/message

Aravind Srinivas is the Co-Founder & CEO of Perplexity, the conversational "answer engine" that provides precise, user-focused answers to queries. Aravind co-founded the company in 2022 after working as a research scientist at OpenAI, Google, and DeepMind. To date, Perplexity has raised over $100 million from investors including Jeff Bezos, Nat Friedman, Elad Gil, and Susan Wojciki. In Today's Episode with Aravind Srinivas We Discuss: Biggest Lessons from DeepMind & OpenAI What was the best career advice Sam Altman @ OpenAI gave Aravind? What were Aravind's biggest takeaways at DeepMind? How did DeepMind shape how Aravind built Perplexity? What did Aravind mean by “competition is for losers?” What did he learn about talent assembly at DeepMind? The Next AI Breakthrough: Reasoning Does Aravind think we are experiencing diminishing returns on compute & model performance? Does Aravind agree reasoning will be the next big breakthrough for models? What are the reasons Aravind thinks models suck at reasoning today? What is the timeline for reasoning improvement according to Aravind? What does Aravind think are the biggest misconceptions about AI today? Will Foundation Models Commoditise? Does Aravind think foundation models will commoditise? What will the end state of foundation models look like? Why does Aravind think the second tier models will get commoditised? Why does Aravind think the subscription model will not work for AI models with true reasoning?  Why does Aravind think the application layer companies will benefit from foundation models commoditising? Why does Aravind think foundation models will not verticalize? When does Aravind think is the right time to go enterprise? What is his strategy to differentiate Perplexity from its competitors? AI Arms Race: Who Will Win? Who does Aravind think will be the winners of foundation models? What do AI companies need to do to win the model arms race? How does Aravind think startups can compete against incumbents' infinite cash flow? What are the reasons Aravind thinks Perplexity's browsing is better than ChatGPT? What is Aravind's biggest challenge at Perplexity today?    

Dan Siroker is the Co-Founder and CEO @ Limitless, a personalized AI powered by what you've seen, said, or heard. For his latest funding round, Dan took an unusual approach resulting in 1,000 preliminary offers with valuations as high as $1BN — and resulted in a $350 million Series A valuation. Prior to founding Limitless, Dan was the Founder of Optimizely, scaling the company to $120M in ARR and raising from some of the best in the business including Peter Fenton @ Benchmark who led the Series A. In Today's Episode with Dan Siroker We Discuss: 1. Serial Entrepreneurs are More Investable: Why would Dan always prefer to invest in serial entrepreneurs than first time founders? How do serial entrepreneurs approach team building and size of team differently? How do serial entrepreneurs approach focus and prioritisation differently? How do serial entrepreneurs approach pivoting differently to first time founders? What is Dan's advice from Elad Gil and YC's Dalton Caldwell on when to pivot? 2. The Secret to Fundraising: How to Speak VC Should founders always be raising? What is the right thing to respond to investors when they reach out to you outside of a round? What question are investors really asking when they ask, how much are you raising? How should founders approach valuation, what should they say when they are asked for it? How can founders create urgency in a funding round? What works? What does not? 3. How to Raise the Best Funding Round: Should founders engage with associates or only worth it with decision-makers? Why should founders always choose the investor who is on the early arc of their career? Why was Dan's first meeting with Peter Fenton the best meeting he has ever had with a VC? Why does Dan believe that taking the highest price is never the right answer? To what extent does having a true Tier 1 VC lead your round, change the game for your company? 4. Dan Siroker: AMA: How did becoming a father change the way that Dan operates? Why is Dan scared we might see technological progress stall for the next 20 years? Why did Dan not do YC the second time around with Limitless? What is the story of how Optimizely nearly bought Amplitude?  

Warp: Don't let payroll and compliance hold your startup back: visit https://joinwarp.com/peel to get started and receive a $1,000 gift card when you first run payroll. Get Attio, the next generation of CRM: https://bit.ly/AttioThePeel Elad Gil is the founder of Color Genomics and Mixer Labs, which he sold to Twitter, and an early investor in iconic companies like Airbnb and Stripe, plus upstarts like Perplexity and Anduril. This is a wide ranging conversation that covers education, AI, and advice for building a startup. Timestamps (00:00) Intro (03:46) Building cool monuments (09:12) Fixing education (16:38) Why AI is underhyped (19:02) Four trends to watch in AI (19:55) Why there aren't large biotech companies (23:21) The current state of Elad Gill (24:32) How he incubates companies (26:32) Contemplating AI-driven buyouts (27:29) His investing strategy, from early to late stage (36:57) Why he remained solo for so long (40:19) How to get conviction in unpopular investments (42:53) What made Steve Jobs a good communicator (44:00) The importance of ambition and leadership (46:28) Why Elad puts so much weight in the market (47:45) The evolution of Google's business model (49:17) How to monetize consumer products (50:06) Analyzing a potential startup market (51:23) How successful products eventually become distribution companies (56:30) Non-obvious startup advice (59:54) When its OK to give up (01:02:20) Advice on raising your first round (01:03:21) Picking board members (01:04:45) How to hire your first three employees (01:06:48) Avoiding bad hires (01:08:39) The importance of speed of execution (01:12:36) Why he's adding to his team (01:14:31) Gardening Referenced: Elad's Blog: https://blog.eladgil.com/ Elad's Podcast: https://www.youtube.com/@NoPriorsPodcast/ Elad's Book: https://growth.eladgil.com/ Where to find Elad: Twitter: https://twitter.com/eladgil LinkedIn: https://www.linkedin.com/in/eladgil Celine's Website: https://eladgil.com/ Where to find Turner: Twitter: https://twitter.com/TurnerNovak LinkedIn: https://www.linkedin.com/in/turnernovak/ Newsletter: https://www.thespl.it/

Today's guest is Larry Gadea, founder and CEO of Envoy. Envoy is a workplace platform that helps companies welcome visitors, keep employees safe, book desks and conference rooms, and manage deliveries in over 16,000 locations around the globe. To date, Larry has raised over $170 million for Envoy from a16z, Menlo Ventures, Brookfield Growth, Marc Benioff, Elad Gil to name a few. Prior to Envoy, Larry started his career as a software engineer at 17, having been recruited by Google out of high school. He later joined X (formerly Twitter) as one of the early people driving its ability to scale. In today's episode, we talk about Larry experiences at Google and Twitter and to better understand what pain points Envoy was trying to solve. We also talk about Larry on leadership lessons scaling Envoy to a billion-dollar company, what it takes to manage the board effectively, and so much more.

Does your business need a people strategy that can accelerate growth? That's what I'm discussing today with Andrew Bartlow, who is the CEO of People Leader Accelerator.  Andrew has more than 25 years of HR experience and helps tech leaders be more strategic and more successful. Andrew shares his experience and insights regarding scaling a startup organization and constantly reexamining priorities.  He also discusses his principles for organizational success that include clarity, consistency, and communication. Andrew also discusses his book, Scaling for Success:  People Priorities for High-Growth Organizations.  The book helps readers identify the core people management programs and practices that are best for an organization based on its current stage and size. Andrew also shares information about how and why to reexamine your priorities constantly.  He talks about why things that worked last year likely won't cut it next year as the company scales and the economic & employment environment changes. Today on the Tech Leader Talk podcast: - The 3 Cs of organizational success - Necessary changes when growing your team - Helping tech leaders be more successful - How to constantly reexamine your priorities - Managing change in your organization Book Recommendation: High Growth Handbook by Elad Gil - https://www.amazon.com/High-Growth-Handbook-Elad-Gil/dp/1732265100 Connect with Andrew Bartlow: LinkedIn:  https://www.linkedin.com/in/bartlow/ Websites:       https://www.seriesbconsulting.com/      https://www.peopleleaderaccelerator.com/ Thanks for listening! Be sure to get your free copy of Steve's latest book, Cracking the Patent Code, and discover his proven system for identifying and protecting your most valuable inventions. Get the book at https://stevesponseller.com/book.

Gil was some of the first money into Airbnb, Stripe and Pinterest.This episode was first released on February 12, 2019. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Host-only episode discussing NVIDIA, Meta and Google earnings, Gemini and Mistral model launches, the open-vs-closed source debate, domain specific foundation models, if we'll see real competition in chips, and the state of AI ROI and adoption. Don't miss our episodes with: Mistral NVIDIA AMD Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil  Show Notes:  (0:00) Introduction (0:27) Model news and product launches (5:01) Google enters the competitive space with Gemini 1.5 (8:23) Biology and robotics using LLMs (10:22) Agent-centric companies (14:22) NVIDIA earnings (17:29) ROI in AI (20:43) Impact from AI (25:45) Building effective AI tools in house (29:09) What would it take to compete with NVIDIA (33:23) The architectural approach to compute (35:42) the roadblocks to chip production in the US (38:30) The virtuous tech cycles in AI

Episode 116: I found one of the best resources on hiring by one of the most well-respected founders and early-stage investors, Elad Gil. In this episode, I'll be reading highlights from the Hiring chapter of Elad's startup book, High Growth Handbook, and cover job descriptions, interview questions, candidate scoring, work projects, building a diverse team, and more. Original essay: https://growth.eladgil.com/book/recruiting/recruiting-best-practices/ Send us an email and let us know what you think of the idea! foundersjournal@morningbrew.com #FoundersJournal #Startups #Entrepreneur Listen to Founder's Journal here: https://link.chtbl.com/OV4W93_W Watch Founder's Journal here: https://www.youtube.com/@FoundersJournal/  Subscribe to Morning Brew! Sign up for free today: https://bit.ly/morningbrewyt Follow The Brew! Instagram - https://www.instagram.com/morningbrew/ Twitter - https://twitter.com/MorningBrew Tik Tok - https://www.tiktok.com/@morningbrew Follow Alex! Alex Lieberman (@businessbarista) Learn more about your ad choices. Visit megaphone.fm/adchoices

Austin Green is the Co-Founder @ Llama (https://llama.xyz). Backed by Founders Fund, Electric Capital, Elad Gil, & more, Llama is a full-stack platform for on-chain access control and governance, where users can securely take action using on-chain policies and custom execution strategies. In this episode we discuss Austin's path to conviction around the problem space, his perspective on progressive decentralization (and how Llama fits into that perspective), how crypto's changed since his introduction to the space, best advice for crypto founders in 2024, & much more.Recorded Thursday February 22, 2024.

In this episode, long-time entrepreneur and startup investor Elad Gil and former Greylock General Partner and Conviction founder Sarah Guo join host and Lightspeed Partner Michael Mignano to take a look at the broadening world of AI investing. The three discuss the surprise of ChatGPT3, the future of AI consumer products, and the potential UI evolution AI platforms could bring. Episode Chapters (00:00) Sarah Guo and Elad Gil, investors extraordinaire  (03:45) 2023 was the year of AI - did they see it coming? (11:12) The go-forward opportunity for foundational models (16:31) What does the next app wave look like? (19:01) Who's winning AI: Consumer or Enterprise?? (23:35) Will SMBs leverage AI or will SMBs be the new BigCo's as a result of AI?? (31:30) Vertically integrated models (39:54) Chat as an interface: the future or the past? (49:19) Hardware x AI (55:45) Will Web3 be the way to verify authenticity? (01:00:11) Where is regulation headed? (01:02:13) Where to listen to No Priors Stay in touch: ⁠⁠⁠⁠www.lsvp.com⁠⁠⁠⁠ X: ⁠⁠⁠⁠https://twitter.com/lightspeedvp⁠⁠⁠⁠ LinkedIn: ⁠⁠⁠⁠https://www.linkedin.com/company/lightspeed-venture-partners/⁠⁠⁠⁠ Instagram: ⁠⁠⁠⁠https://www.instagram.com/lightspeedventurepartners/⁠⁠⁠⁠ Subscribe on your favorite podcast app: ⁠⁠⁠⁠generativenow.co⁠⁠⁠⁠ Email: generativenow@lsvp.com The content here does not constitute tax, legal, business or investment advice or an offer to provide such advice, should not be construed as advocating the purchase or sale of any security or investment or a recommendation of any company, and is not an offer, or solicitation of an offer, for the purchase or sale of any security or investment product. For more details please see ⁠⁠⁠⁠lsvp.com/legal⁠⁠⁠⁠.

A reminder for new readers. That Was The Week collects the best writing on critical issues in tech, startups, and venture capital. I selected the articles because they are of interest. The selections often include things I entirely disagree with. But they express common opinions, or they provoke me to think. The articles are only snippets. Click on the headline to go to the original. I express my point of view in the editorial and the weekly video below.Thanks To This Week's Contributors: @TEDchris, @LilyWhitsitt, @RocketToLulu, @saeedtaji, @geneteare, @EricNewcomer, @jeffbeckervc, @jasonlk, @elonmusk, @benshapiro, @StevenLevy, @apple, @bheater, @bmw, @Growcoot, @illscience, @venturetwins, @omooretweets, @conniechanContents* Editorial: Civility and Civilization* Essays of the Week* US Seed Investment Actually Held Up Pretty Well For The Past 2 Years. Here's What That Means For 2024* Lower Valuations, Higher Bar: What It's Like To Raise A Seed Round In 2024 * Unicorns & Inevitabilities* Sequoia, Founders Fund, USV, Elad Gil & Benchmark Top Venture Manager Survey* Why 2024 May Be Tougher on Venture Capital Than 2023* Video of the Week* The Mac at 40* AI of the Week* BMW will deploy Figure's humanoid robot at South Carolina plant* Google's New AI Video Generator Looks Incredible* OpenAI's Sam Altman seeks funds for AI chip factories as demands surge* The Future of Prosumer: The Rise of “AI Native” Workflows* Andreessen Horowitz's Connie Chan to Leave as Consumer Focus Shifts to AI* OpenAI Is a (Relative) Steal* News Of the Week* Ted fellows resign from organisation after Bill Ackman named as speaker* Tesla's Slowdown Disqualifies It From ‘Magnificent Seven' Group* TikTok's Testing 30 Minute Uploads as It Looks To Expand Its Content Options* Instagram to scan under-18s' messages to protect against ‘inappropriate images'* Tiger Global Investor Relations Staff Depart After Fundraising Challenges* Worldcoin hints at new Orb for a friendlier iris-scanning experience* Startup of the Week* Loyalty Startup Bilt Rewards Hits $3.1B Valuation After $200M Round* X of the Week* Elon Musk visits Auschwitz with Ben ShapiroEditorialThere is a lot to digest in this week's newsletter. Gené Teare's two essays on Seed investing head up the Essays of the Week, along with Jeff Becker talking about unicorns and inevitabilities, Eric Newcomer on who are the top investors and Jason Lemkin on the reasons 2024 might be harder for Venture Capital than 2023.But my attention was distracted from venture capital by a Guardian article announcing (triumphantly, I might add) that several TED fellows had resigned from the organization due to an invite to Bill Ackman to speak at this year's TED event in Vancouver.“Lucianne Walkowicz and Saeed Taji Farouky accuse Ted of taking anti-Palestinian stand over controversial billionaire's inclusion”It seems Ackman is not alone. They also object to Bari Weiss being invited. The leavers are also not alone; up to 30 others have signed a “solidarity” letter.The accusations echo much of the discussion around the medieval assassination of Jews on 7 October and Israel's efforts to defeat Hamas in the aftermath. Because these speakers are against anti-Semitism and so supportive of Israel's war against Hamas, they are accused of the ridiculous claim of supporting “Genocide” against Palestinians.“We refuse for our work and identities to be exploited to promote the Ted brand while the organisation and its speakers generate income and advance their careers through dehumanising Palestinians and justifying their genocide,” the pair said.It probably will not surprise readers of this newsletter that I applaud TED curators Chris Anderson and Lily James Olds for not backing down on the invitations. Whatever one believes about the current conflict in Israel, it is clear that banning opponents of anti-Semitism because of their stance is not a solution to anything. I believe the cause of fighting anti-Semitism should be close to the heart of any progressive person. It is not anti-Palestinian to support Jews against being slaughtered in the street, to oppose anti-Semitism, or to condemn Hamas as anti-Jewish murderers. Supporting Jews against slaughter by Hamas is not incompatible with supporting Palestinians. The Guardian reported that Ackman responded to the resignations with a statement:“I stand unapologetically with Israel and against antisemitism and terrorism, while strongly supporting the Palestinian people. Attempts to cancel speech and eliminate the free and respectful exchange of ideas among people with differing views are driving much of the divisiveness that plagues our nation. Truth, wisdom and ultimately peace are the result of the free exchange of ideas and debate, precisely what Ted is all about. It is sad that this is not more widely understood,”Unsurprisingly, one of the resigners, Farouky, told the Guardian he did not regard the issue as freedom of speech. It clearly IS about freedom of speech. Speech only needs protecting when opinions are wide apart and strongly held.For example, here are my views on the actual issues:These are trying times. Over 25,000 deaths in Gaza are hard to comprehend. And I certainly cannot. But I can understand that Jews have to defend themselves. And I can understand that progressive thinkers MUST stand up to anti-Semitism, whatever form it takes.In case there is doubt about my support for Muslim victims of racism, my book Under Seige is about the attacks on Muslims in the UK between 1961 and 1981. It starts with recognizing that racism targets differences and that Jews and Muslims are both targets. Indeed, the very ghettoes that Pakistani and Bengali immigrants were being attacked in had earlier, in the 1930s, been inhabited by Jewish settlers fleeing pogroms. I am not Jewish, and I am not Muslim. But I will always be on both of their sides when they are attacked for their ethnic and racial origin.In Israel, Jews were killed for being Jews. Palestinians are being killed because Hamas is hiding in their cities and buildings. I do not consider Israel's response to be racist against Palestinians. I consider it reasonable in the context of 7 October. I consider that Hamas has done this to Palestinians and probably wanted that outcome. I am sad that Hamas has done this for the Palestinian victims. But I do not doubt that Hamas is to blame.My views may anger you. But do you want me banned or silenced?My title this week is Civility and Civilization. The TED events bring both to the fore. Like those I write here, opinions are there to be disagreed with, debated, and interrogated. Civilized behavior requires dialogue and civility within the dialogue. I certainly understand opinions I disagree with, and far from banning them or walking away so that I do not have to hear them, I want to hear them. We all should.This is a different editorial than usual. I hope the humanity of refusing to forget 7 October and the determination to preserve the view that fighting anti-Semitism is a non-negotiable minimum requirement of civilization are grasped. By the same token, Islamaphobia must be fought. But in Israel, there is no Islamophobia at work. Jews are simply reacting to an atrocity. They are right to blame Hamas.Essays of the WeekUS Seed Investment Actually Held Up Pretty Well For The Past 2 Years. Here's What That Means For 2024Gené Teare, January 24, 2024, @geneteareEditor's note: This is the first in a two-part series on the state of seed startup investing at the start of 2024. Check back tomorrow for Part 2.Despite a broad pullback in global startup investment over the past two years, investors say the U.S. seed funding environment was the most vibrant compared to other funding stages during the downturn.In fact, U.S. seed funding in 2022 grew by close to 10% in terms of dollars invested, in contrast to a downturn at all other funding stages. In 2023, U.S. seed funding fell 31% — a significant proportion — but still less than other funding stages year over year, an analysis of Crunchbase data shows. (It's also worth noting that those other stages had already experienced year-over-year declines in 2022.)In the current startup funding market, “we're seeing a lot more great talent excited about starting things,” said Renata Quintini, co-founder of Renegade Partners, a Bay Area-based investment firm that focuses on Series A companies and is therefore close to the seed ecosystem.Other investors share that enthusiasm. “Valuations are coming down, more talent is available in the market,” said Michael Cardamone of New York-based seed investor Forum Ventures. “A lot of these companies at seed and Series A are going to scale into what will likely be the next bull market.”Seed trends over the decadeSeed as an asset class, not surprisingly, has grown in the U.S. over the past decade. In 2014 less than $5 billion was invested at seed. At the market peak in 2022, seed investment was more than $16 billion, although it fell to $11.5 billion in 2023.Despite the downturn, seed funding in 2023 was still $2 billion to $3 billion higher in the U.S. than in the pre-pandemic years of 2019 and 2020.Higher bar, pricier rounds, better valuedBut in a tougher market, seed investors are being more selective about which companies they fund.“We're being far more disciplined and patient knowing how hard it is for these companies to get to Series A and beyond,” said Jenny Lefcourt, a general partner at Bay Area-based seed investor Freestyle Capital. “Our bar for conviction is higher than it had been in the heyday where everything was getting funded.”In the slower funding environment, the firm has been investing later at the seed stage, “gravitating toward ‘seed plus' or ‘A minus' — pick your favorite term for it — because I feel like I get to see more risk mitigated. I get to see more data,” she said.Freestyle seeks to have ownership of around 12% to 15% in the companies it backs. “The reason is because of our model,” Lefcourt said. “We are low-volume, high-conviction investors.”And because the firm invests in companies that are pre-Series A, “our reality has been that our valuations have actually been higher in this market, which is not what we would have predicted.“But the data we've seen is, we're not alone in that,” she said.…MoreLower Valuations, Higher Bar: What It's Like To Raise A Seed Round In 2024 Gené Teare, January 25, 2024, @geneteareEditor's note: This is the second in a two-part series on the state of seed startup investing at the start of 2024. Read Part 1, which looked at seed funding trends over the past decade and the median time period between seed and Series A funding, here.Seed funding to startups has grown into its own asset class over the past decade, with round sizes trending larger, and a bigger pool of investors backing these nascent startups. But in the aftermath of 2021's venture funding heyday and subsequent pullback, investors say that while seed funding has held up better than other startup investment stages, these very young startups will see lower valuations and must now clear a much higher bar to get backing.More companies raised seed funding above $1 million in 2021. Those companies — which raised during a record-smashing year for venture funding — are saddled with valuations that could be too high for this current market — even at seed. Many of those startups have been forced to cut costs to extend their runways, and face a tougher sales environment.“You could then be sacrificing growth, which is one of the main levers that Series A investors are looking for,” said Michael Cardamone of New York-based seed investor Forum Ventures.2021 after effectsIn 2021 it was “grow, grow, grow, grow,” said Jenny Lefcourt, a general partner at Bay Area-based seed investor Freestyle Capital. “It's embarrassing to look back on, but that was the game being played.”Investors got sloppy during the boom times, she said. “I think a lot of VCs were thrilled to back you, and then say, ‘we'll figure it out.' ”“The reality is that almost anything that was done then — call it 2021 — was the wrong price,” she said.This led to down rounds, even at seed, though those are generally not viewed negatively like they were in the past, she said.In fact, “when our companies get their down rounds done, it's a sign of it's a good business. It just had the wrong price on it,” she said.While the bar is higher to raise funding these days, “I think it's so much better for a company who gets to start in this environment,” Lefcourt said.Down rounds can actually be a sign of conviction, she said. “None of us would do all the heavy lifting to not only give the company more capital, but recap it, which takes a lot. It's a heavy lift — none of us would do that if we weren't super jazzed about the company. The lazier approach, the easier approach, is to just put it on the note, keep it flat, and be done,” she said.Renata Quintini, co-founder of Renegade Partners, a Bay Area-based investment firm that focuses on Series A companies, is hearing of “more ‘pay-to-play' these days and it's starting to get ugly.” This happens when new investors wipe out the prior investors, and anyone seeking equity needs to pony up into the new funding round.Median and averages climbNonetheless, “seed round valuations haven't dropped a ton from even the peak,” according to Forum Ventures' Cardamone. But, “the bar to raise a seed [round] is a lot higher.”“Most first-time founders especially, and the vast majority of founders generally — they have to get significant traction to be able to raise that same round they used to be able to raise. And a lot fewer of those rounds are happening,” he said.“A priced seed round of $3 million at $15 million [pre-money] is still happening, but you might have to be at $500,000 ARR, to raise that round now. Whereas in 2021, it was the norm to raise that round pre-revenue,” he said.Series A fundings have gotten harder as “companies are going out and raising three seed rounds,” said Cardamone.Based on an analysis of Crunchbase data, median and average seed round sizes in the U.S. have climbed through the past decade.In 2023, median and average raises are not far from the peak of 2022, Crunchbase data shows, and were well above pre-pandemic levels. (However, this will shift downward somewhat as the long tail of seed fundings are retroactively added to the Crunchbase database.)Seed rounds got larger“If I have conviction, we may need them to have more money, cause we know it's going to take them longer to reach the milestones that are now higher,” said Lefcourt.Per an analysis of Crunchbase data, larger seed rounds — those $1 million and above — have increased through the decade.The amount of funding to seed-stage companies below $1 million hasn't budged much, and is a fraction of what it was earlier in the decade.Seed below $1 million in 2014 represented around 25% of all seed funding.That has come down as a proportion every year since then.And as of 2021 that proportion has dipped below 10% for the first time, ranging from 5% to 7% of all seed dollars invested in the U.S. since then.Earlier in the past decade, the number of seed deals in rounds below $1 million outpaced those rounds at $1 million and above significantly.But 2021 was once again a pivotal year. That's when $1 million and above seed rounds outpaced smaller seed for the first time.In 2023, they are neck and neck in count. (That might shift as the long tail of seed rounds are added to the Crunchbase database long after they close.)What this all shows is that seed has become an increasingly significant and elongated phase in a company's early life cycle, where companies are raising multiple million-dollar seed rounds. And as of late, more companies than ever before are wading in the seed pool.What does this mean for the seed funding market in 2024?…MoreUnicorns & InevitabilitiesUp and to the right, or not so much?JEFF BECKER, JAN 22, 2024TLDR: Go read Aileen Lee's update to the Unicorn Club… and a few inevitabilities.Did anyone catch Aileen Lee & Allegra Simon's Welcome Back to the Unicorn Club, 10 Years Later?If not, go read it. That's your MMM.If you did read it, you can't help but wonder if the tech sector isn't going to resemble the public markets over time. Ups and downs, but consistently up and to the right over a long enough period.After all, we are creating leverage in ways we've never seen before.And for unicorns, that meant 14X growth over a 10-year period.Could you imagine another 14 or even 10X from here? That would be stratospheric, from ~500 to ~5,000 unicorns? What if the exit sizes did too? $5B, $10B, $50B?Crazy to think, but hardly impossible. After all, we've already seen near-centicorns like Uber's IPO at $75B in 2019.The interesting part about that thought exercise though is not the crazy zero interest rate IPO's, but the fact that entry valuations didn't and don't move nearly as fast as top end outcomes because of the time horizon to realizing them.For example, Airbnb raised $20K from Y Combinator for 6%, then they took another $600K for 20% in their seed.That was 2009. The idea of an IPO for $47B just 11 years later in 2020 probably wasn't even a consideration. Paul Graham and the YC team would've had to believe Airbnb's IPO could compete with AT&T, General Motors, and Visa.Insane.Fast forward, that $333,333 valuation at YC has moved to $1.78m (125K for 7%), and they'll stack another 2.6% ownership on average from their $375K MFN with the average YC company raising seed at a $14.4m cap instead of Airbnb's $3m.That's a ~5X increase in valuation at pre-seed & seed for a 47X increase in IPO size if you were modeling $1B outcomes into your VC fund model in 2009.I'm not saying that will continue. There are counterforces of course.* Margins are way too high. The fact that software margins have persisted at 80% or more is just craziness. Companies will start to use price more aggressively to compete for market share as cheap AI tools enter the market and try to unseat them. This compression will change the value of discounted cash flow models.* Pricing models need to change. One way to reduce sticker price and maintain some semblance of healthy long-term margins is to pay a smaller implementation fee, but incur ongoing services & upgrade costs. This is a more traditional pricing model, and creative economics that leverage this kind of thinking run rampant in the titans of tech. It's a game of deeper roots, higher switching costs, and long-term contracts. With API calls and data usage more prevalent, we'll also see more pay-per-use models, the same way we buy copiers. We'll also see more pay-for-performance models with attributable ROI, akin to Amazon's ACoS model or Rakuten's affiliate marketing model. Customers will prefer it too, placing a higher emphasis customer value. This will also drive margins to condense.* AI, AI, AI. AI will cut OpEx costs dramatically. SDR teams, gone. Copywriters at agencies, you don't need as many. Data scientists? Just run a query against your data lakes. The list goes on. Costs of running these companies is going to get shellacked. Good for margins for sure, but also a compelling opportunity for newcomers to undercut and unseat incumbents too.* More hardware. With software margins condensing, hardware margins will start to feel more attractive too, the maintenance and upgrade fees will resemble what we see in SaaS, and the software that powers these machines will be incredible. Skynet for autonomous off-road vehicles, absolutely.* Less dilution, earlier exits, and stratification. We already see it in the S&P 500 with the top end accounting for an outsized share of total value. With that kind of cash on balance sheets, bigger companies will just buy the smaller ones. Think about how Broadcom rolls up companies. If you've built the business more efficiently, you've also raised less, incurred less dilution, and that $100m exit when you still own 50% is looking pretty prett-ty good compared to the same outcome 5-10 grueling years later to own 5% of $1B.* Massive founder salaries, less emphasis on growth. If you've built a company that's profitable from day one, and you have complete control of your board, what's your incentive to keep the pedal down on growth, or stay on the VC treadmill? World domination? Why not pay yourself 10X, stop fundraising, and continue to tighten the core business until someone acquires you? It's better for the founding team and employees for sure, and it's probably better for customers in most instances too.These are just some of things I think we'll see over the next five years until we approach ZIRPy-dirpy times again and massive growth becomes irresistible.But there are also a whole slew of things I think are inevitabilities that will benefit from these dynamics because we will not only have new technologies, with more attractive pricing, but we will be tackling new opportunities that were created by the prior evolutions across adjacent industries.For example…* Cost of energy is going to zero with nuclear fusion* Longevity is starting to work; check out Loyal for Dogs* Batteries & cameras continue to improve; medical devices, for one, will be more personal & affordable* Disintermediation of big ad networks with new global distribution channels; check out Benjamin* Massive cost reductions driven by AI* Software will be built by software* An aging population is retiring (10,000 per day); wealth transfer & SMB's with no exit paths* Climate change* …and so on and so on and so onThe list is long. Much longer than this. If you want the rest, just reply or comment so that I know, and I'll go deeper next week.Net of all of it, I think we're going to see a tale of two cities. Stronger, more profitable businesses, with smaller, but better founder founder exits in the near term, and a continued growth both in number of total unicorns, and what that top-end outcomes look like in the longer-term.And like I said, go read Aileen's post.Sequoia, Founders Fund, USV, Elad Gil & Benchmark Top Venture Manager SurveyI got my hands on a VC scorecard circulating among top founders & VCsERIC NEWCOMERJAN 25, 2024Before we get started, I want to be clear — this isn't the end-all, be-all list of the top venture capital firms or the most promising startups.But I got my hands on a survey of 91 people at 69 different venture capital firms conducted by a well-respected investor in venture capital firms.The survey results are spreading hand-to-hand in Silicon Valley. The results of the survey rank the most desirable venture capital firms and companies, according to VCs themselves. When I was out in San Francisco last week for The Information's 10th anniversary gala, sources kept bringing it up.My sources tell me that the survey was conducted by Ed Hutchinson, managing partner at Golden Bell Partners. Hutchinson is ignoring my emails.Which firms and companies would top VCs themselves put their money into? It's a question everyone wants to know the answer to.I've got my hands on their list of favorites:Firms* (1) Sequoia* (2) Founders Fund* (3) Union Square* (4) Elad Gil* (5) Benchmark…Much More (but only for subscribers)Why 2024 May Be Tougher on Venture Capital Than 2023by Jason Lemkin | Blog Posts, Fundraising, ScaleSo I thought the toughest times for venture would be behind us now.  In 2022, we were in free fall, with public market caps falling like a knife, and the IPO markets frozen.  And 2023 was the year of the Work Out in venture.  Bridge rounds slowed down, and VCs acknowledged a lot of portfolio companies just weren't going to make it.  It got real in 2023, and that realness got normalized.  The drama mostly was behind us.  And public SaaS stocks in many cases did really, really well in 2023.  So shouldn't 2024 at least be better for venture?So I thought.But the reality is I'm a bit more worried the venture drama in 2024 will be bigger than 2023.  Why?  Four core reasons:#1:  Now We Have to Deal With the Reality of the Stumbling Unicorns.The ones that are doing $100m+ ARR, still growing, but there just isn't going to be any more money coming.  This is going to burn up a ton of energy in VC funds.  Even tougher, the reality is while many VC funds marked down their unicorns to lower valuations in 2023, they often didn't mark them down enough.#2.  The Chase for AI Unicorns and Decacorns is All-consuming.  It's Still 2021 There.The one place where paper money seems easy to come by is Hot AI Startups.   And that's probably not you.  It's just consuming all the oxygen in venture, trying to get into the next Imaging AI startup worth $1B in 10 months.  In AI, 2021 never went away.  In AI, it's still 2021.#3.  A Lot of Seasoned VCs are Discouraged. This Doesn't Help Founders.A lot of VCs who have been around for a while are quietly discouraged.  They just don't see a great path to making a ton of money in venture these days.  We're in Year 3 of a venture downturn, and that weighs of most of us.  At a practical level, for founders, it makes it harder to lean it.#4.  More Valuation Markdowns Are Still to ComeRelated to the first point, but more markdowns are like mutliple rounds of layoffs.  They're just tough.  LPs lose confidence.  Coworkers lose confidence.  We should have gotten through a lot of this in 2023, but we didn't.  Personally, I've got several investments for example that I marked down. 70%-80% or more — that my co-investors didn't mark down at all.#5.  VCs Have Run out of ReservesVCs used what extra “reserve” capital they had for bridge rounds in 2022 and 2023.  Now it's gone.  That's adds to the stress as companies struggle.  You don't have a play anymore.The bottom line is there likely is at least another full year of working through the excesses of 2021.  That will weigh across venture.  No matter what some AI headlines suggest.Video of the WeekThe Mac at 40Apple Shares the Secret of Why the 40-Year-Old Mac Still RulesThe pioneering PC revolutionized how people interact with computers. As the Mac enters its fifth decade, Apple says it will continue to evolve.STEVEN LEVY, Jan 19, 2024 10:00 AMON JANUARY 24, Apple's Macintosh computer turns 40. Normally that number is an inexorable milestone of middle age. Indeed, in the last reported sales year, Macintosh sales dipped below $30 billion, more than a 25 percent drop from the previous year's $40 billion. But unlike an aging person, Macs now are slimmer, faster, and last much longer before having to recharge.My own relationship with the computer dates back to its beginnings, when I got a prelaunch peek some weeks before its January 1984 launch. I even wrote a book about the Mac—Insanely Great—in which I described it as “the computer that changed everything.” Unlike every other nonfiction subtitle, the hyperbole was justified. The Mac introduced the way all computers would one day work, and the break from controlling a machine with typed commands ushered us into an era that extends to our mobile interactions. It also heralded a focus on design that transformed our devices.That legacy has been long-lasting. For the first half of its existence, the Mac occupied only a slice of the market, even as it inspired so many rivals; now it's a substantial chunk of PC sales. Even within the Apple juggernaut, $30 billion isn't chicken feed! What's more, when people think of PCs these days, many will envision a Macintosh. More often than not, the open laptops populating coffee shops and tech company workstations beam out glowing Apples from their covers. Apple claims that its Macbook Air is the world's best-selling computer model. One 2019 survey reported that more than two-thirds of all college students prefer a Mac. And Apple has relentlessly improved the product, whether with the increasingly slim profile of the iMac or the 22-hour battery life of the Macbook Pro. Moreover, the Mac is still a thing. Chromebooks and Surface PCs come and go, but Apple's creation remains the pinnacle of PC-dom. “It's not a story of nostalgia, or history passing us by,” says Greg “Joz” Joswiak, Apple's senior vice president of worldwide marketing, in a rare on-the-record interview with five Apple executives involved in its Macintosh operation. “The fact we did this for 40 years is unbelievable.”…Much MoreAI of the WeekBMW will deploy Figure's humanoid robot at South Carolina plantBrian Heater @bheater / 3:00 AM PST•January 18, 2024Image Credits: FigureFigure today announced a “commercial agreement” that will bring its first humanoid robot to a BMW manufacturing facility in South Carolina. The Spartanburg plant is BMW's only in the United States. As of 2019, the 8 million-square-foot campus boasted the highest yield among the German manufacturer's factories anywhere in the world.BMW has not disclosed how many Figure 01 models it will deploy initially. Nor do we know precisely what jobs the robot will be tasked with when it starts work. Figure did, however, confirm with TechCrunch that it is beginning with an initial five tasks, which will be rolled out one at a time.While folks in the space have been cavalierly tossing out the term “general purpose” to describe these sorts of systems, it's important to temper expectations and point out that they will all arrive as single- or multi-purpose systems, growing their skillset over time. Figure CEO Brett Adcock likens the approach to an app store — something that Boston Dynamics currently offers with its Spot robot via SDK.Likely initial applications include standard manufacturing tasks such as box moving, pick and place and pallet unloading and loading — basically the sort of repetitive tasks for which factory owners claim to have difficulty retaining human workers. Adcock says that Figure expects to ship its first commercial robot within a year, an ambitious timeline even for a company that prides itself on quick turnaround times.The initial batch of applications will be largely determined by Figure's early partners like BMW. The system will, for instance, likely be working with sheet metal to start. Adcock adds that the company has signed up additional clients, but declined to disclose their names. It seems likely Figure will instead opt to announce each individually to keep the news cycle spinning in the intervening 12 months.Unlike some other humanoid designers (including Agility), Figure is focused on creating a dexterous, human like hand for manipulation. The thinking behind such an end effector is the same that's driving many toward the humanoid form factor in the first place: Namely, we've designed our workspaces with us in mind. Adcock alludes to Figure 01 being tasked with an initial set of jobs that require high dexterity.As for the importance of legs, the executive suggests that their importance for maneuvering during certain tasks is as — or more — important than things like walking up stairs and over uneven terrain, which tend to get most of the love during these conversations.…MoreGoogle's New AI Video Generator Looks IncredibleJAN 25, 2024MATT GROWCOOTGoogle has announced Lumiere: an AI video generator that looks to be one of the most advanced text-to-video models yet.The name Lumiere is seemingly a nod to the Lumiere brothers who are credited with putting on the first ever cinema showing in 1895. Just as motion picture was cutting-edge technology at the end of the 19th century, the Lumiere name is once more being associated with something new and original.The demo of Lumiere that Google put out focuses firmly on animals. The model can generate a scene using just text; much the same way AI image generators work, the user can dream up any scenario they would like to see a short video clip of.However, the user can also use an image as a prompt. Google provided multiple examples: including some that are real photos such as Joe Rosenthal's iconic Raising the Flag photo; “Soldiers raising the united states flag on a windy day” saw one of the 20th-centuries most recognizable photos suddently come to life as the soliders struggle with the flag that's being affected by gusts.Also in Lumiere is a “Video Stylization” setting which allows users to upload a source video and then ask the generative AI model for various element changes. For example, a person running may be suddenly turned into a toy made of colorful bricks.Another feature Google showed off is “Cinemagraphs”, where just a section of an image is animated while the rest stays still. “Video Inpainting” is included too which involves masking part of the image so that section can be changed to the user's desire.Space-Time Diffusion ModelLumiere is powered by “Space-Time U-Net architecture that generates the entire temporal duration of the video at once, through a single pass in the model.”This difficult-to-understand concept is apparently in contrast to existing video models which “synthesize distant keyframes followed by temporal super-resolution — an approach that inherently makes global temporal consistency difficult to achieve.”…Much MoreOpenAI's Sam Altman seeks funds for AI chip factories as demands surgeOpenAI CEO Sam Altman has opened discussions with global investors over the possibility of funding a network of artificial intelligence (AI) chip factories to keep pace with soaring demand.Altman is seeking around $8 billion to $10 billion worth of funds to set up several AI chip fabrication plants around the globe, an endeavor that will require synergy between leading chip manufacturers backed by investment giants.Altman is reportedly in talks with Japanese-based financial giant SoftBank Group (NASDAQ: SFTBF) and Abu Dhabi's G42 over funding plans, but details remain sparse. The discussions with G42 have been underway since 2023, with Altman describing a potential chip partnership as laying the foundation “for equitable advancements in generative AI across the globe.”Aside from SoftBank and G42, insiders say that Altman is still pursuing collaborations with other industry players to set up a network of chip fabrication plants. Although exact entities were not namechecked, industry experts are noting Intel Corporation (NASDAQ: INTC), Samsung Electronics, and Taiwan Semiconductor Manufacturing Co. (NASDAQ: TSM) as potential partners.Altman's approach to raising funds hinges on concerns that the chip supply will not be able to meet global demands for AI offerings by 2030. The OpenAI's CEO argues that the ideal solution will be a collaborative effort to set up chip manufacturing plants rather than build in silos.OpenAI has had its fair share of chip scarcity, rolling back a number of its offerings over a steady chip supply. To meet the rising demand, the company is reportedly mulling several options, including the prospect of building its chips from scratch and joining ranks with Google (NASDAQ: GOOGL) and Amazon (NASDAQ: AMZN) to explore an in-house solution.Given the costs associated with an in-house approach, OpenAI may pursue the acquisition of a chip manufacturer as a short-term solution or expand its collaboration with existing partners. However, a potential acquisition opens its own can of worms, including an inquiry by antitrust regulators.Governments are also involvedIn 2023, Altman urged the South Korean government to double their investments in AI chip manufacturing as a veritable strategy to play a leading role in the nascent ecosystem. Currently, South Korea ranks behind the U.S., China, and Japan in chip manufacturing, but a concerted government involvement could see the country climb up the charts.The OpenAI boss disclosed during his visit to South Korea that his firm will back local entities building chips for AI and other emerging technologies, with Samsung rumored to be in top position.“We are exploring how to increase our investment in Korean startups,” said Altman. “We are excited to meet as many as we can here today. I think this type of collaboration is essential to our work.”..MoreThe Future of Prosumer: The Rise of “AI Native” WorkflowsAnish Acharya, Justine Moore, and Olivia MoorePosted January 25, 2024Few people love the software they use to get things done. And it's no surprise why. Whether it's a slide deck builder, a video editor, or a photo enhancer, today's work tools were conceived decades ago — and it shows! Even best-in-class products often feel either too inflexible and unsophisticated to do real work, or have steep, inaccessible learning curves (we're looking at you, Adobe InDesign). Generative AI offers founders an opportunity to completely reinvent workflows — and will spawn a new cohort of companies that are not just AI-augmented, but fully AI-native. These companies will start from scratch with the technology we have now, and build new products around the generation, editing, and composition capabilities that are uniquely possible due to AI. On the most surface level, we believe AI will help users do their existing work more efficiently. AI-native platforms will “up level” user interactions with software, allowing them to delegate lower skill tasks to an AI assistant and spend their time on higher-level thinking. This applies not only to traditional office workers, but to small business owners, freelancers, creators, and artists — who arguably have even more complex demands on their time. But AI will also help users unlock completely new skill sets, on both a technical and an aesthetic level. We've already seen this with products like Midjourney and ChatGPT's Code Interpreter. Everyone can now be a programmer, a producer, a designer, or a musician, shrinking the gap between creativity and craft. With access to professional-grade yet consumer-friendly products with AI-powered workflows, everyone can be a part of a new generation of “prosumers.”In this piece, we aim to highlight the features of today's — and tomorrow's — most successful Gen AI-native workflows, as well as hypothesize about how we see these products evolving.What Will GenAI Native Prosumer Products Look Like?All products with Gen AI-native workflows will share one crucial trait: translating cutting-edge models into an accessible, effective UI.Users of workflow tools typically don't care what infrastructure is behind a product; they care about how it helps them! While the technological leaps we've made with Generative AI are amazing, successful products will importantly still start from a deep understanding of the user and their pain points. What can be abstracted away with AI? Where are the key “decision points” that need approval, if any? And where are the highest points of leverage? There are a few key features we believe products in this category will have: * Generation tools that kill the “blank page” problem. The earliest and most obvious consumer AI use cases have come from translating a natural language prompt into a media output — e.g., image, video, and text generators. The same will be true in prosumer. These tools might help transform true “blank pages” (e.g., a text prompt to slide deck), or take incremental assets (e.g., a sketch or an outline) and turn them into a more fleshed-out product.Some companies will do this via a proprietary model, while others may mix or stitch together multiple models (open source, proprietary, or via API) behind the scenes. One example here is Vizcom's rendering tool. Users can input a text prompt, sketch, or 3D model, and instantly get a photorealistic rendering to further iterate on.Another example is Durable's website builder product, which the company says has been used to generate more than 6 million sites so far. Users input their company name, segment, and location, and Durable will spit out a site for them to customize. As LLMs get more powerful, we expect to see products like Durable pull real information about your business from elsewhere on the internet and social media — the history, team, reviews, logos, etc. — and generate an even more sophisticated output from just one generation. * Multimodal (and multimedia!) combinations. Many creative projects require more than one type of content. For example, you may want to combine an image with text, music with video, or an animation with a voiceover. As of now, there isn't one model that can generate all of these asset types. This creates an opportunity for workflow products which allow users to generate, refine, and stitch different content types in one place.…MoreAndreessen Horowitz's Connie Chan to Leave as Consumer Focus Shifts to AIBy Kate Clark, Erin Woo and Cory WeinbergJan 23, 2024, 7:22am PSTFor years, partners at Andreessen Horowitz proclaimed they would scour the startup world for the next big consumer marketplace like Airbnb or the next hit consumer app out of China, areas in which the firm had unique expertise. Now, it's shifting toward an area more en vogue across venture capital: consumer apps powered by artificial intelligence.Those changes are happening amid an overhaul of its consumer team. Connie Chan, a general partner at Andreessen Horowitz who formerly led a team of consumer investors and was known for spotting internet trends coming from China, said she is leaving the firm.  She may raise her own fund, a person familiar with the matter said. Anish Acharya, a general partner at the firm who invested in enterprise-focused and financial technology businesses, now leads the consumer team, said people familiar with the change.Chan's move also follows a distancing by U.S. VC firms from investments in China tech, once a hotbed for U.S.  investors. In recent months, Chan has privately said it's becoming more difficult for her to work at Andreessen Horowitz because the partners have been increasingly disinterested in anything China related, another person said.The Takeaway• Fintech-focused GP Anish Acharya leading consumer deals• Consumer GP Connie Chan is leaving the firm• Consumer partner Anne Lee Skates left to start own fundThe changes are part of a broader personnel shakeup, including the decision by senior consumer investor and Airbnb board member Jeff Jordan to step back from making new investments last year. Of the four general partners that led the firm through a consumer deal blitz, none remain on the consumer team.Meanwhile, Anne Lee Skates, a consumer partner who worked on the firm's investment in live shopping app WhatNot, left in the fall to raise her own fund, according to two people familiar with the matter. Axios first reported that Chan was leaving the firm.The Andreessen Horowitz changes are emblematic of a broader VC industry gravitation toward AI and away from once-hot sectors like consumer marketplaces and financial technology, as a spike in interest rates undercut the growth aspirations of startups trying to elbow out incumbent social platforms and banking institutions.“We've gotten into this cycle now where, generally speaking, investors are less interested in consumer,” said Ben Lerer, managing partner at Lerer Hippeau. Known for its consumer investments in Warby Parker and Allbirds, the firm has invested 70% of its latest fund in enterprise companies, he said. “And AI feels like this very hopeful, very exciting, fresh thing.”Founders of some consumer startups have noticed the shift at Andreessen Horowitz. One founder of a consumer startup in the firm's portfolio said they had heard little from investment partners over the last year, a contrast to a steady drumbeat of emails the founder got in prior years from Andreessen staff who support portfolio companies with marketing and operations advice.Andreessen Horowitz's consumer investing team has been perhaps most well known for its focus on backing digital marketplaces, from peer-to-peer self-storage to real estate investment marketplaces, that could turn into the next Airbnb. Every year, it releases a ranking of top marketplace startups. “We are obsessed with marketplaces and have been since our inception,” Chan, who led investments in  social fashion startup Cider for the firm in 2021.But some of those startups backed by the firm, such as self-storage startup Neighbor, have struggled to take off in recent years. And like other venture firms, Andreessen Horowitz has also stepped back from investing in Chinese startups, an area of focus for Chan. She had championed the idea that the next wave of breakout U.S. consumer startups will model themselves after China's internet success stories, like all-in-one app WeChat.With $53 billion in assets under management, Andreessen Horowitz is one of the largest of traditional Silicon Valley firms and closely watched among other VC firms as a trend setter. And its track record of sniffing out hitmakers primed its partners to find the next trendy consumer app.The number of consumer deals Andreessen Horowitz has led dropped to 13 last year from 30 in 2021, a record for the firm, according to PitchBook data. It's possible the firm completed more consumer deals and that those investments haven't been announced. Its investments in AI companies have jumped to 23 from nine over the same years, including leading a $415 million investment in Mistral, the French developer of an open-source large language model.The firm has beefed up this team of investors primarily focused on enterprise, software infrastructure and AI startups. Led by Martin Casado, a close confidante to the firm's founders Horowitz and Marc Andreessen, it is raising its first standalone fund and has brought on two new general partners, Anjney Midha and Zane Lackey, since 2022, as well as a number of junior partners.As the infrastructure team gained power, the consumer team's profile shrank. The firm in 2023 combined its consumer and fintech teams and created a new group, called apps, led by general partner Alex Rampell, who previously co-founded installment lender Affirm, The Information reported last year. Under Rampell's leadership, the newly formed apps team will also soon launch a dedicated apps fund, according to people with direct knowledge of the matter. The consolidated team has been encouraged to pursue AI deals.Within Rampell's apps group, Acharya now leads the consumer sub-group. His portfolio of companies includes payroll company Deel and Silo, a provider of supply chain automation software. He's also an investor in Titan, a consumer investment application.Fueling the firm's shift away from consumer apps are likely disappointing returns. The startups that captivated consumers during the pandemic shutdowns have failed to retain their attention. Growth at companies the consumer team bet on, like Clubhouse, which Andreessen Horowitz backed three times in one year, and photo-sharing app BeReal, which it backed in 2021, has stalled.…MoreOpenAI Is a (Relative) StealBy Stephanie PalazzoloJan 22, 2024, 7:35am PSTOver the past year, we've seen billions in funding thrown at AI startups at eye-popping valuations. More important than the absolute valuation figures, though, is how they stack up to those startups' revenue numbers.In the chart above, we've tracked the valuations of eight AI startups that have recently raised funding, calculated against their projected revenue. On average, these companies raised money at a price that is 83 times their projected sales for the next twelve months. That's a big multiple by any measure, reflecting the rocket ship nature of these startups. But what makes the comparison noteworthy is that OpenAI has one of the lowest multiples, even though its business has the most traction.Venture capitalists tend to value early-stage startups at a premium based on their growth rates. OpenAI's business is far bigger and more mature—if we can use that word for a company growing as fast as OpenAI—than other generative AI companies. So, as fast as its revenue pace is growing—more than 20% in just two months most recently—newer firms are growing even faster.For instance, AI-powered search engine Perplexity AI doubled its annual recurring revenue from $3 million to $6 million from October to January. VCs were likely taking that expected growth into account at the time of investment, as the company would have garnered a much lower 75-times forward revenue multiple if it had raised at the same price just a few months later. Similarly, even though OpenAI rival Anthropic was likely generating around $200 million in annualized revenue at the end of last year (according to its October estimates), its projection that it would reach $850 million in annualized revenue by the end of this year surely made its mind-boggling valuation more palatable to investors.When you see the details of these AI startup funding rounds, it can sometimes feel like investors are throwing darts at nine-figure numbers on a wall. The chart suggests there's a method to the madness. Typically, startups selling to companies are valued based on the sector in which they operate. The lowest valuation multiples are accorded to startups offering industry-specific applications, while those offering more generalized applications draw a premium. The most highly valued firms are often infrastructure startups, which create the tools that developers use to build these apps. This order stems from how big the target market of these startups are, ranging from a specific industry (like healthcare or education) to all developers. We can see that general order reflected in burgeoning AI startups. For instance, Harvey, which sells an AI application for lawyers, has one of the lower multiples, while broader-reaching companies like Glean and VAST Data land higher multiples.It seems like investors aren't quite sure yet where model developers like OpenAI and Anthropic fall on this spectrum. Their costs are very different from a typical software startup due to how much computing power they need, and many investors are still worried that closed-source model developers may be overtaken by their cheaper, open-source counterparts.…MoreNews Of the WeekTed fellows resign from organisation after Bill Ackman named as speakerLucianne Walkowicz and Saeed Taji Farouky accuse Ted of taking anti-Palestinian stand over controversial billionaire's inclusionChris McGrealThe Ted organisation has been hit with resignations and criticisms after naming the controversial activist billionaire Bill Ackman, who was instrumental in forcing out Harvard's president over antisemitism allegations, among its main speakers at this year's conference.Four Ted fellows, led by the astronomer Lucianne Walkowicz and the filmmaker Saeed Taji Farouky, resigned from the group on Wednesday, accusing it of taking an anti-Palestinian stand and aligning itself “with enablers and supporters of genocide” in Gaza.“2024 main stage speaker Bill Ackman has defended Israel's genocide and ethnic cleansing of the Palestinian people and has cynically weaponised antisemitism in his programme to purge American universities of Pro-Palestinian freedom of speech,” the pair wrote to Chris Anderson, who leads Ted, and Lily James Olds, director of the fellows programme.“We've become increasingly concerned about the fundamental values and moral compass of the organisation over the years, but with this year's speaker selection, it is clear Ted has crossed a red line.”The conference will be held in Vancouver, Canada, in April, under the banner The Brave and the Brilliant”. The theme of Ackman's talk has not been revealed but his selection was announced last week after he was accused of using his money and influence to help force Claudine Gay's resignation as Harvard's president following her disastrous appearance before Congress in December when she was questioned about on-campus antisemitism during the Israel-Gaza war.Ackman has taken stridently pro-Israel positions, including justifying the scale of the attacks on Gaza in which more than 25,000 Palestinians have been killed, mostly civilians, and the forced removal of about 2 million Palestinians from their homes. He has described criticism of Israel as antisemitism and called for the blacklisting from employment of American students who signed petitions denouncing the offensive in Gaza in the wake of the 7 October Hamas attack on Israel.Farouky and Walkowicz's resignation letter noted that other speakers announced by Ted include the journalist Bari Weiss, who they describe as having “a long, sordid, and well-documented history of anti-Palestinian speech”, but that there are no Palestinians in the line-up.“We refuse for our work and identities to be exploited to promote the Ted brand while the organisation and its speakers generate income and advance their careers through dehumanising Palestinians and justifying their genocide,” the pair said.After the resignation letter was published, two other fellows – the entrepreneur Ayah Bdeir and cosmologist Renée Hlozek – also quit. Nearly 30 others added their names “in solidarity” without leaving Ted.…MoreTesla's Slowdown Disqualifies It From ‘Magnificent Seven' GroupBy Martin Peers, Jan 24, 2024, 5:00pm PSTStock market pundits may want to come up with a new name for the big tech stocks driving the overall market. The “magnificent seven” descriptor—referring to Apple, Microsoft, Alphabet, Amazon, Meta Platforms, Nvidia and Tesla—no longer seems to make much sense. I'd like to suggest that's because none of the company CEOs look like cowboy gunslingers from the 1960 movie that made the phrase famous. It's hard to imagine Steve McQueen playing Tim Cook or Andy Jassy, for instance (although Yul Brynner admittedly could have filled the role of horseback-riding Jeff Bezos).The real reason the moniker no longer works, however, is that at least one member of the group, Tesla, has had anything but a magnificent 2024 so far, and its fourth-quarter earnings report, released Wednesday, only made things worse. Before Tesla reported earnings tonight, its stock had fallen 16% so far this year, and it tumbled another 3% after hours to around $200 a share. This isn't a reaction to CEO Elon Musk's antics, which include asking for a bunch more stock, although that surely doesn't help. The stock decline reflects the slowdown in sales suffered by Tesla, which observers attribute to increased competition and a loss of government incentives. Automotive revenues, which make up the bulk of Tesla's top line, grew just 1% in the fourth quarter—down from 18% in the first quarter.In its outlook for this year issued today, the company said its growth in the volume of car sales would be lower than in 2023, and noted that its team is working on its “next-generation vehicle.” Meantime, expenses have been skyrocketing, eroding its profit margin. But our less-than-rigorous takedown of the magnificent seven branding isn't just about Tesla. If you look at the year-to-date performance of big tech stocks, or even their 2023 performance, you can see that just two tech stocks have roared this year. One is Nvidia, which is in a class of its own: up 27% since Jan. 1, thanks to its stranglehold on the specialized chips used in artificial intelligence. The other is Meta Platforms, which is up nearly 13%, reflecting confidence in its ad business.  In comparison, Microsoft and Alphabet are each up around 8%, likely thanks to expectations that AI will lift their businesses, while Apple and Amazon lag behind with year-to-date stock price rises of less than 5% each. Instead of the magnificent seven, it might be more appropriate to refer to the group as Nvidia, Meta and the humble five.… MoreTikTok's Testing 30 Minute Uploads as It Looks To Expand Its Content OptionsBy Andrew Hutchinson Content and Social Media ManagerThe next stage of TikTok is coming, with some users now seeing the option to upload 30 minute long videos in the app.As you can see in this example, shared by social media expert Matt Navarra, TikTok's currently testing the new 30 minute upload option in the beta version of the app.Which, if you've been paying attention, is not really any big surprise.TikTok has been steadily increasing its maximum post limit for years, with the platform originally starting at 15 seconds per clip, which was then extended to 60 seconds, then 3 minutes, then 5 minutes, before rising to 10 minutes in 2022.Last October, TikTok began experimenting with 15 minute uploads, so the trend towards longer clips isn't new.Though 30 minutes is likely the upper limit, based on the Chinese version of the app. Douyin, which is TikTok in China, expanded its upload limit to 30 minutes per clip in 2022, and it hasn't gone any further as yet.And presumably, Douyin has also seen good response to this longer time limit, which is why TikTok is now looking to implement the same, though it does seem like a long time to be watching a TikTok clip in-stream.Will users really warm to TV show length clips in the app?…MoreInstagram to scan under-18s' messages to protect against ‘inappropriate images'Feature will work even on encrypted messages, suggesting platform plans to implement client-side scanningAlex Hern and Dan MilmoInstagram will begin scanning messages sent to and from under-18s to protect them from “inappropriate images”, Meta has announced.The feature, being kept under wraps until later this year, would work even on encrypted messages, a spokesperson said, suggesting the company intends to implement a so-called client-side scanning service for the first time.But the update will not meet controversial demands for inappropriate messages to be reported back to Instagram servers.Instead, only a user's personal device will ever know whether or not a message has been filtered out, leading to criticism of the promise as another example of the company “grading its own homework”.“We're planning to launch a new feature designed to help protect teens from seeing unwanted and potentially inappropriate images in their messages from people they're already connected to,” the company said in a blogpost, “and to discourage them from sending these types of images themselves. We'll have more to share on this feature, which will also work in encrypted chats, later this year.”…Much MoreTiger Global Investor Relations Staff Depart After Fundraising ChallengesBy Francesca Friday and Maria HeeterJan 24, 2024, 4:46pm PSTSeveral Tiger Global Management employees focused on raising capital for the New York firm's venture funds have taken buyout offers, according to a person familiar with the matter. The departures of the staff, who worked with prospective investors, come as the firm has struggled to raise money for its latest venture capital fund after a collapse in startup valuations soured its paper returns for earlier funds.As of the second quarter of 2023, a $12.7 billion fund that Tiger started making investments from in October 2021 had a paper loss of 18%, calculated as an annualized return net of management fees, according to internal data distributed to investors in the fund. That's a slight improvement from six months earlier, when the 2021 fund showed a loss of 20%. The fund's performance is in the bottom quartile of funds started that year, the document said, and has also lagged the S&P 500's annualized net return in the same period.The Takeaway• Tiger employee buyouts are the latest example of VC cost-cutting• Tiger's $12.7 billion had lost 18% on paper as of June* Tiger could soon show a $350 million gain from OpenAI stakeAs of June 30, 2023, the $12.7 billion fund hadn't returned any cash to investors, which isn't unusual for such a young fund. But the paper losses are closely guarded secrets that reflect the kind of write-downs other venture firms have been making over the past two years as tech valuations have fallen.It isn't clear how big Tiger's investor relations team is, but the departures are the latest example of belt-tightening across the venture industry. Firms are raising smaller funds and striking fewer deals, reducing the need for sprawling support staff—including those who help firms raise money from pension funds and endowments...MoreWorldcoin hints at new Orb for a friendlier iris-scanning experienceby Vivian NguyenThe next-gen device will feature various colors and shapes to enhance its visual appeal.Worldcoin, an iris biometric crypto project, is set to launch a new Orb that aims to offer a more user-friendly iris-scanning experience, said Alex Blania, CEO and co-founder of Tools for Humanity, the developer behind the project, in an exclusive interview with TechCrunch today.“The next Orb will roll out in the first half of this year and will feature alternative colors and form factors in an effort to look ‘much more friendly,'” Blania explained. “Overall, it is going to look way more tuned down and similar to an Apple product.”Blania acknowledges that the initial design of the Orb predated his time at the company. “The new orb is coming and the next iterations will look quite different,” he remarked during a fireside chat at a recent StrictlyVC event, signaling a departure from the current, more controversial design.The goal of Worldcoin, as described by Blania, is to reach billions of users as fast as possible.“The thesis is very simple. We race toward billions of users as fast as we possibly can,” said Blania.Founded by Blania, Sam Altman, and Max Novendstern, Tools for Humanity has raised around $250 million from prominent investors like a16z and Bain Capital Crypto, among others. The project is famous for its unique Orb device designed to scan people's irises and assign them a “World ID,” granting access to Worldcoin's application and a digital passport. Worldcoin's vision is to authenticate individual identities and prevent the creation of multiple accounts.The current design of the Orb has been a topic of much debate due to its intimidating look, similar to a prop from a sci-fi movie, according to Blania. The company has also faced criticism for its beta testing approaches in developing economies and concerns over privacy and data security.Despite some skepticism, the Orb has seen practical use. At the StrictlyVC event in downtown San Francisco, a Tools for Humanity employee reported that a “couple dozen” attendees scanned their iris to receive a World ID. There has also been “field testing” of the new Orb design.…MoreStartup of the WeekLoyalty Startup Bilt Rewards Hits $3.1B Valuation After $200M RoundChris MetinkoJanuary 24, 2024Bilt Rewards, a loyalty rewards startup, raised a $200 million round led by General Catalyst at a $3.1 billion valuation — more than double the number after its last fundraising in 2022.The round also included participation from Eldridge Industries, Left Lane Capital, Camber Creek and Prosus Ventures.The New York-based startup allows consumers to earn rewards on the rent they pay. Bilt plans to use some of the proceeds to expand its network to include local dining, grocery stores, ridesharing and other retail purchases.“We're not just building a loyalty program; we're creating a community-centric ecosystem that benefits everyone from renters to local businesses,” said founder and CEO Ankur Jain.The company also appointed some big names to roles in the company. Bilt named Ken Chenault, former chairman and CEO of American Express, as its chairman, and Roger Goodell, the commissioner of the NFL, as an independent director.Big moneyThe company reported its annualized member spend is nearing $20 billion. It also became profitable on an earnings before interest, taxes, depreciation and amortization basis last year.Those metrics must have impressed investors, as Bilt has seen its valuation shoot up after raising a $150 million Series B at a pre-money valuation of $1.4 billion in October 2022. Founded in 2021, the company has raised a total of $413 million, per Crunchbase.Last year was a slow go for loyalty startups. Such companies raised only $74 million, per Crunchbase data. However in 2022, loyalty startups raised more than a half-billion dollars thanks to big raises that included Bilt's Series B and Madison, Wisconsin-based Fetch's $240 million Series E.With this fundraise, things are looking up for loyalty startups again.X of the Week This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit thatwastheweek.substack.com/subscribe

Episode 96: Most startups and their founders don't spend their money well, often using it as a crutch for a bad product or a misguided tool for growing their business too quickly. Today, I'm going to read essays from Elad Gil, a successful entrepreneur and arguably the greatest angel investor in the world, and Paul Graham, the founder of Y Combinator, on spending your money wisely.  Elad Gil Essay: https://blog.eladgil.com/p/capital-efficient-businesses Paul Graham Essay: https://www.paulgraham.com/aord.html Send us an email and let us know what you think of the idea! foundersjournal@morningbrew.com #FoundersJournal #Startups #Entrepreneur Listen to Founder's Journal here: https://link.chtbl.com/OV4W93_W Watch Founder's Journal here: https://www.youtube.com/@FoundersJournal/  Subscribe to Morning Brew! Sign up for free today: https://bit.ly/morningbrewyt Follow The Brew! Instagram - https://www.instagram.com/morningbrew/ Twitter - https://twitter.com/MorningBrew Tik Tok - https://www.tiktok.com/@morningbrew Follow Alex! Alex Lieberman (@businessbarista) Learn more about your ad choices. Visit megaphone.fm/adchoices

Explore the Future of Investment & Impact in AI with Host Lukas Biewald and Guests Elad Gill and Sarah Guo of the No Priors podcast.Sarah is the founder of Conviction VC, an AI-centric $100 million venture fund. Elad, a seasoned entrepreneur and startup investor, boasts an impressive portfolio in over 40 companies, each valued at $1 billion or more, and wrote the influential "High Growth Handbook."Join us for a deep dive into the nuanced world of AI, where we'll explore its broader industry impact, focusing on how startups can seamlessly blend product-centric approaches with a balance of innovation and practical development.*Subscribe to Weights & Biases* → https://bit.ly/45BCkYzTimestamps:0:00 - Introduction 5:15 - Exploring Fine-Tuning vs RAG in AI10:30 - Evaluating AI Research for Investment15:45 - Impact of AI Models on Product Development20:00 - AI's Role in Evolving Job Markets25:15 - The Balance Between AI Research and Product Development30:00 - Code Generation Technologies in Software Engineering35:00 - AI's Broader Industry Implications40:00 - Importance of Product-Driven Approaches in AI Startups45:00 - AI in Various Sectors: Beyond Software Engineering50:00 - Open Source vs Proprietary AI Models55:00 - AI's Impact on Traditional Roles and Industries1:00:00 - Closing Thoughts Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.Follow Weights & Biases:YouTube: http://wandb.me/youtubeTwitter: https://twitter.com/weights_biases LinkedIn: https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server:https://discord.gg/CkZKRNnaf3#OCR #DeepLearning #AI #Modeling #ML

Today we're joined by Elad Gil, an accomplished investor and founder, who shares his insights on the idea maze and solo capitalism. He discusses the significance of market changes and shifts in technology in identifying viable business opportunities. In addition, Gil shares his viewpoints on sectors like AI, crypto, and EdTech. If you're looking for an ERP platform, check out our sponsor, NetSuite: http://netsuite.com/turpentine --- Check out Erik's new show Request for Startups featuring a rotating cast of founders and investors (including Dan) sharing their requests for startups they want to exist in the world, and also their stories of navigating the idea maze in different sectors so founders don't have to reinvent the wheel anymore. The first episode is out now - we over better dating apps, references as a service, and WeWork for productivity Watch and Subscribe on Substack: https://requestforstartups.substack.com/p/receipt-based-dating-reference-checks Apple: https://podcasts.apple.com/us/podcast/request-for-startups-with-erik-torenberg/id1728659822 Spotify:https://open.spotify.com/show/739L1LR32QI2XyoZlRh5nv --- We're hiring across the board at Turpentine and for Erik's personal team on other projects he's incubating. He's hiring a Chief of Staff, EA, Head of Special Projects, Investment Associate, and more. For a list of JDs, check out: eriktorenberg.com. --- SPONSOR: NETSUITE NetSuite has 25 years of providing financial software for all your business needs. More than 36,000 businesses have already upgraded to NetSuite by Oracle, gaining visibility and control over their financials, inventory, HR, eCommerce, and more. If you're looking for an ERP platform head to NetSuite http://netsuite.com/turpentine and download your own customized KPI checklist. --- Join our free newsletter to get Erik's top 3 insights from each episode: https://turpentinevc.substack.com/ --- RELATED SHOWS: If you like Turpentine VC, check out our show The Limited Partner with David Weisburd, where David talks to the investors behind the investors: https://link.chtbl.com/thelimitedpartner --- RECOMMENDED PODCAST: Live Players https://link.chtbl.com/liveplayers Join host Samo Burja and Erik Torenberg as they analyze the mindsets of today's most intriguing business leaders, investors, and innovators through the lens of their bold actions and contrarian worldviews. Think: Elon, Sam Altman, Peter Thiel, George Soros and more. You'll come away with a deeper understanding of the development of technology, business, political power, culture and more. LIsten and subscribe everywhere you get your podcasts: https://link.chtbl.com/liveplayers. --- TIMESTAMPS: (00:00) Intro (00:43) "The best way to start a company is to start a company" - Elad's advice to entrepreneurs navigating the idea maze (02:22) Elad's advice on which field in the business will result in a higher chance of success (and the three ways on how to think about this) (07:00) The areas where there's exciting stuff to work on (10:21) Sponsor - Netsuite (11:25) Innovating in social networking (14:06) Is crypto still going to be relevant? (15:54) What drives market cycles in crypto (21:04) On finding the better opportunity - mercenary vs missionary frameworks (24:23) Limited supply of great founders or great opportunities (28:52) Why Elad is bullish on healthtech (29:40) Reasons why it is so hard to start good biotech and how biopharma really works (32:48) Elad's strategy to winning in venture as it relates to the broader market (35:06) What's the most interesting and useful form of investment within a couple of years? (35:49) Will there be any other important platform in the startup world or will market will always be fragmented? (38:12) The bearish case of venture (and does Elad agree with it?) (40:29) Elad's perspective on incubations (43:07) On being a solo capitalist (46:30) Reinventing yourself and being relevant

Kevin Liu is the Co-founder and CEO of Metronome, which enables software companies to launch, iterate, and scale their business models with billing infrastructure that works at any size and stage. Prior to Metronome, Kevin and his co-founder Scott Woody both sold their respective separate companies to Dropbox. Kevin and Scott started Metronome in 2019, and have since raised over $30 million from investors like a16z, General Catalyst, Elad Gil, Lachy Groom, and dozens of other angels. — Brought to you by Artie, the real-time database replication solution that sets up in minutes and requires zero day-to-day maintenance. Sign-up for a demo and get two weeks free: https://bit.ly/41gQbSy — In this episode, we discuss: The history and evolution of software business models A crash course on all things software pricing Kevin's framework for iterating on new startup ideas His 2-days on, 1-day off strategy for early customer needfinding How he leveraged angels to raise Metronome's Seed and Series A rounds The dangers of over-building a product Why Metronome sacrificed its own margins to scale with OpenAI How Kevin thinks founders should prioritize their time Frameworks for building a pricing model The biggest pricing mistakes companies make — Referenced: https://www.metronome.com — Where to find Kevin: LinkedIn: https://www.linkedin.com/in/kevinyliu — Where to find Turner: Newsletter: https://www.thespl.it Twitter: https://twitter.com/TurnerNovak Banana Capital: https://bananacapital.vc — Production and distribution by: https://www.supermix.io —For sponsorship inquiries: https://docs.google.com/forms/d/e/1FAIpQLSebvhBlDDfHJyQdQWs8RwpFxWg-UbG0H-VFey05QSHvLxkZPQ/viewform

The future of tech is 25-person companies powered by AI agents that help us accomplish our larger goals. Imbue is working on building AI agents that reason, code and generally make our lives easier. Sarah Guo and Elad Gil sit down with co-founders Kanjun Qiu (CEO) and Josh Albrecht (CTO) to discuss how they define reasoning, the spectrum of specialized and generalized agents, and the path to improved agent performance. Plus, what's behind their $200M Series B fundraise.  Kanjun Qiu is the CEO and co-founder of Imbue. Kanjun is also a partner at angel fund Outset Capital, where she invests in promising pre-seed companies. Previously, Kanjun was the co-founder and CEO of Sourceress, a machine learning recruiting startup backed by YC and DFJ. She was previously Chief of Staff to Drew Houston at Dropbox, where she helped scale the company from 300 employees to 1200. Josh Albrecht is the CTO and co-founder of Imbue. He also invests in other founders via his fund, Outset Capital. He has published machine learning papers as an academic researcher; founded an AI recruiting company that went through YC and a 3D injection molding software company that was acquired; helped build Addepar as an early engineer; and served as a Thiel Fellow mentor. He started programming as a kid and began working professionally as a software engineer in high school.  Show Links:  Kanjun's LinkedIn | Website | Google Scholar Josh's LinkedIn | Website | Google Scholar Imbue raises $200M to build AI systems that can reason and code Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Kanjun | @JoshAlbrecht Show Notes:  (00:00) - Introduction to Imbue (04:55) - The Spectrum of Agent Tasks (08:43) - Specialization and Generalization With Agents (13:03) - Code and Language in AI Agents

Open Source fuels the engine of innovation, according to Arthur Mensch, CEO and co-founder of Mistral AI. Mistral is a French AI company which recently made a splash with releasing Mistral 7B, the most powerful language model for its size to date, and outperforming much larger models. Sarah Guo and Elad Gil sit down with Arthur to discuss why open source could win the AI wars, their $100M+ seed financing, the true nature of scaling laws, why he started his company in France, and what Mistral is building next. Arthur Mensch is Chief Executive Officer and co-founder of Mistral AI. A graduate of École Polytechnique, Télécom Paris and holder of the Master Mathématiques Vision Apprentissage at Paris Saclay, he completed his thesis in machine learning for functional brain imaging at Inria (Parietal team). He spent two years as a post-doctoral fellow in the Applied Mathematics department at ENS Ulm, where he carried out work in mathematics for optimization and machine learning. In 2020, he joined DeepMind as a researcher, working on large language models, before leaving in 2023 to co-found Mistral AI with Guillaume Lample and Timothee Lacroix. Show Links:  Arthur's Linkedin Mistral Mistral 7b Retro: Improving language models by retrieving from trillions of tokens Chinchilla: Training Compute-Optimal Large Language Models Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @ArthurMensch Show Notes:  (0:00) - Why he co-founded Mistral (4:22) - Chinchilla and Proportionality  (6:16) - Mistral 7b (9:17) - Data and Annotations (10:33) - Open Source Ecosystem  (17:36) - Proposed Compute and Scale Limits (19:58) - Threat of Bioweapons  (23:08) - Guardrails and Safety  (29:46) - Mistral Platform (31:31) - French and European AI Startups

Each iteration of ChatGPT has demonstrated remarkable step function capabilities. But what's next? Ilya Sutskever, Co-Founder & Chief Scientist at OpenAI, joins Sarah Guo and Elad Gil to discuss the origins of OpenAI as a capped profit company, early emergent behaviors of GPT models, the token scarcity issue, next frontiers of AI research, his argument for working on AI safety now, and the premise of Superalignment. Plus, how do we define digital life? Ilya Sutskever is Co-founder and Chief Scientist of OpenAI. He leads research at OpenAI and is one of the architects behind the GPT models. He co-leads OpenAI's new "Superalignment" project, which tries to solve the alignment of superintelligences in 4 years. Prior to OpenAI, Ilya was co-inventor of AlexNet and Sequence to Sequence Learning. He earned his Ph.D in Computer Science from the University of Toronto. Show Links: Ilya Sutskever | LinkedIn Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @ilyasut Show Notes: (00:00) - Early Days of AI Research (06:51) - Origins of Open Ai & CapProfit Structure (13:46) - Emergent Behaviors of GPT Models (17:55) - Model Scale Over Time & Reliability (22:23) - Roles & Boundaries of Open-Source in the AI Ecosystem (28:22) - Comparing AI Systems to Biological & Human Intelligence (30:52) - Definition of Digital Life (32:59) - Super Alignment & Creating Pro Human AI (39:01) - Accelerating & Decelerating Forces 

Cyber Security is going to change significantly in the era of AI, according to Ryan Noon, cofounder of Material Security, a security company that makes cloud-based Google and Microsoft email a safe place for sensitive data. Elad Gil and Ryan talk about how Material Security started to use LLMs, potential security threats from AI hacks, and the role of the government in securing the Internet. Ryan also shares his advice for founders. Ryan co-founded Material Security in 2017 after seeing high profile email hacks in the 2016 Presidential election. Previously, he led various engineering teams at Dropbox after it acquired his first company, Parastructure. Prior to Parastructure, he led engineering at a data analysis company spun out of Stanford by DARPA. He holds both an MS in Computer Networks and Security and a BS in Computer Science from Stanford. Show Links:  Ryan Noon LinkedIn Material Security Website  The Market for Silver Bullets by Ian Grigg Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @InternetMeme Show Notes:  (00:00) - How 2016 Election Hacking Inspired Ryan to Start Material Security (05:00) - Generative AI Use Cases in Cyber Security & Fine Tuning (11:36) - Predictions on Effective Threat Levels from AI Hacks (14:45) - Democracy, the Department of Defence, DARPA and Cyber Security (20:14) - Is there room for startups in the Cyber Security industry? (26:40) - New Challenges On Horizon After 7 Years as Cofounder (32:30) - Advice to Founders

As the Lead for Generative AI in the Office of the CTO for Google Cloud, Kawal Gandhi has a unique vantage point on enterprise AI rollout. Sarah Guo and Elad Gil sit down with Gandhi this week to discuss his insights on how enterprises can effectively invest in AI development, the importance of TPUs, and Google's internal AI applications. Plus, when will email get more intelligent?  Kawal Gandhi has worked at Google for nearly a decade in search and ad roles before focusing on the development and marketing of AI tools. Show Links:  Kawal Gandhi | LinkedIn Google Cloud    Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @geeztweets Show Notes:  (00:00) - Generative AI in Google Cloud (09:05) - AI Adoption in the Enterprise (13:31) - Multi-Modal AI Models (16:19) - AI Adoption, return-on-investment, anti-patterns (24:43) - Google's TPU and NVIDIA GPU shortage (31:00) - Data Marketplace and Model Training

“The best product leaders coach people across the company, not just in their team, and help develop them into the future leaders of the company.” – Gokul Rajaram EPISODE GUIDE (LINKS, QUOTES, NOTES, AND BOOKS MENTIONED) https://www.outlieracademy.com/episode/102 CHAPTERS This episode is our definitive guide to product management in small, speedy teams. In it we cover: (00:00:00) – Introduction (00:02:26) – Gokul's background in product management (00:06:58) – Applying a computer science background to product management (00:10:26) – What great product vision looks like (00:16:32) – The product analyst role (00:23:11) – Focusing on controllable inputs (00:26:07) – Experiment design (00:34:54) – Editing vs. managing a product (00:42:50) – S.P.A.D.E. decision making (00:55:18) – Speed in product creation ABOUT GOKUL RAJARAM Gokul Rajaram is part of a new wave of solo capitalists, like Elad Gil and Lachy Groom, that play an outsized role in funding and helping many of the world's best startups. As Gokul says in this interview, his goal is for every founder he backs to say that he's the most helpful investor on the cap table. And if there is another thing that Gokul is known for, it's his expertise around product management and decision making, including the Spade framework he created at Square for making transparent decisions at the highest levels. Spade is now used by many of the world's best startups for large, important, and strategic decisions that need to be made transparently so the whole company understands why the decision was made. Learn more about your ad choices. Visit megaphone.fm/adchoices

“The best product leaders coach people across the company, not just in their team, and help develop them into the future leaders of the company.” – Gokul Rajaram EPISODE GUIDE (LINKS, QUOTES, NOTES, AND BOOKS MENTIONED) https://www.outlieracademy.com/episode/102 ABOUT GOKUL RAJARAM Gokul Rajaram is part of a new wave of solo capitalists, like Elad Gil and Lachy Groom, that play an outsized role in funding and helping many of the world's best startups. As Gokul says in this interview, his goal is for every founder he backs to say that he's the most helpful investor on the cap table. And if there is another thing that Gokul is known for, it's his expertise around product management and decision making, including the Spade framework he created at Square for making transparent decisions at the highest levels. Spade is now used by many of the world's best startups for large, important, and strategic decisions that need to be made transparently so the whole company understands why the decision was made. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ginkgo Bioworks is using DNA as code to digitize the cell programming revolution. Ginkgo is using AI and synthetic biology to keep the next pandemic at bay, and accelerate our production capabilities for medicine, food, and agriculture. Ginkgo's co-founder and CEO Jason Kelly joins hosts Sarah Guo and Elad Gil to discuss bioengineering protein as a foundational model, specialized data learning from an evolutionary perspective, what we need to prepare for a future pandemic, and more. Jason has served as a member of our board of directors since Ginkgo's founding in 2008. He has also served as a director of CM Life Sciences II Inc. (Nasdaq: CMII), a special purpose acquisition company with a focus on the life sciences sector, since its initial public offering in February 2021. Jason holds a Ph.D. in Biological Engineering and a B.S. in Chemical Engineering and Biology from the Massachusetts Institute of Technology. Show Links:  Jason Kelly - Co-founder & CEO of Ginkgo Bioworks | LinkedIn   Ginkgo Bioworks The Plausibility of Life: Resolving Darwin's Dilemma Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @jrkelly Show Notes:  (0:00:00) - The Difference Between Software Engineering and Biological Engineering (0:06:51) - Abstractions and Infrastructure in Synthetic Bio (0:09:23) - The Role of AI, Foundation Models that Speak Biology (0:13:17) - AWS for Cell Engineering (0:17:52) - Where are the AI-discovered Drugs? And Data at Gingko (0:19:12) - Pandemic Response and Biosecurity in the Age of AI (0:22:47) - The Likelihood of Existential AI Risk from Lone Actors Harnessing Viruses, and The Need for Defense-in-Depth (0:31:47) - Will Progress in AI Be Biologically Inspired? And Evolution

Replit's develop-to-deploy platform and new AI tool, Ghostwriter, are breaking down the barriers to entry for beginner programmers. Replit's CEO, co-founder, and head engineer Amjad Masad joins hosts Sarah Guo and Elad Gil to discuss how AI can change software engineering, the infrastructure we still need, open source foundation models, and what to expect from AI agents. Before co-founding Replit, Amjad Masad worked at Facebook as a software engineer, where he worked on infrastructure tooling. He was a founding engineer at CodeAcademy. Throughout his career, Masad has been an advocate for open-source software. Show Links:  Amjad Masad - CEO & Co-founder of Replit | LinkedIn   Replit Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @amasad Show Links:  Amjad Masad - CEO & Co-founder of Replit | LinkedIn   Replit Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @amasad Show Notes:  0:03:55 - Impact of AI on Code Generation  0:11:09 - Breaking Down Barriers to Entry in Development with Replit 0:14:35 - The Impact of Open Source Models, Meta/Llama 0:20:32 - Bounties, Agents who Make Money 0:24:26 - The Missing Data Spec-to-Code 0:32:29 - Building the Future of AI, Money as a Programmable Primitive

More than 25 million users are using NEAR-powered applications. Co-founder of NEAR protocol and Transformers author Illia Polosukhin joins hosts Sarah Guo and Elad Gil to discuss the intersections of crypto and AI technology, what we should expect from AI agents, decentralized data labeling, why AI's alignment problem is really a human problem, and more.  Show Links:  Illia Polosukhin - Co-founder of NEAR | LinkedIn   NEAR Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @ilblackdragon Show Notes:  (0:00:00) - Blockchain, AI, and Web3 Intersection (0:06:39) - How We Might Combine Blockchain and AI for Cancer Research (0:23:35) - Inference and Decentralized Data Labeling (0:30:13) - AI SaaS Strategic Challenges (0:38:18) - The Future of Hardware Accelerators

The GPU supply crunch is causing desperation amongst AI teams large and small. Cerebras Systems has an answer, and it's a chip the size of a dinner plate. Andrew Feldman, CEO and Co-founder of Cerebras and previously SeaMicro, joins Sarah Guo and Elad Gil this week on No Priors. They discuss why there might be an alternative to Nvidia, localized models and predictions for the accelerator market. Show Links:  Andrew Feldman - Cerebras CEO & Co-founder | LinkedIn   Cerebras Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @andrewdfeldman Show Notes:  (0:00:00) - Cerebra Systems CEO Discusses AI Supercomputers (0:07:03) - AI Advancement in Architecture and Training (0:16:58) - Future of AI Accelerators and Chip Specialization (0:26:38) - Scaling Open Source Models and Fine-Tuning

Everything digital is increasingly intermediated through web user experiences, and now AI development can be frontend-first, too. Just ask Guillermo Rauch, the founder and CEO of Vercel, the company behind Next.js. In this episode of No Priors, hosts Sarah Guo and Elad Gil speak to Guillermo about their AI SDK and AI templates, and why Vercel is focused on making it easy for every frontend engineer to build with AI. They also discuss what applications Guillermo's most excited about, how to prepare for the world of bots, whether the winds are changing in web architectures, and why he believes in the AI-fueled 100X engineer. Prior to Vercel, Guillermo co-founded several startups and created the JavaScript library, Socket.io, which allows for real-time bi-directional communication between web clients and servers. Show Links: Guillermo Rauch - CEO & Founder of Vercel | LinkedIn  Vercel Vercel AI Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @rauchg Show Notes:  (0:00:00) - Vercel's AI Strategy and Future Plans (0:10:36) - AI Frameworks, Observability, and Bot Mitigation (0:17:24) - Crawling the Web and Architecture Changes (0:27:54) - AI's Impact on Web Personalization

"Biological Software" is the future of medicine. Jakob Uszkoreit, CEO and Co-founder of Inceptive, joins Sarah Guo and Elad Gil this week on No Priors, to discuss how deep learning is expanding the horizons of RNA and mRNA therapeutics. Jakob co-authored the revolutionary paper Attention is All You Need while at Google, and led early Google Translate and Google Assistant teams. Now at Inceptive, he's applying these same architectures and ideas to biological design, optimizing vaccine production, and magnitude-more efficient drug discovery. We also discuss Jakob's perspective on promising research directions, and his point of view that model architectures will actually get simpler from here, and be driven by hardware. Show Links:  Inceptive - CEO & Founder - Jakob Uszkoreit | LinkedIn   Inceptive Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @kyosu Show Notes:  (0:00:00) - Creating Biological Software (0:06:54) - The Hardware Drivers of Large-Scale Transformers (0:14:32) - Challenges in Optimizing Compute Allocation (0:23:25) - Deep Learning in Biology and RNA (0:32:49) - The Future of Drug Discovery (0:41:41) - Collaboration and Innovation at Inceptive

The future of education is right at your children's fingertips. Sal Khan, CEO and Founder of Khan Academy, joins Sarah Guo and Elad Gil this week on No Priors. For over a decade, Sal Khan has been trying to reform education, beginning with tutoring his cousins in math.  He's the father of the YouTube "chalk talk" format, and has now served tens of millions of students through Khan Academy.  He guides us through how Khan Academy is using AI to personalize a student's educational experience, transporting students into immersive learning experiences that allow them to debate historical figures, to assisting teachers with lesson plans that address the learning gaps keeping students from reaching their full potential, to a Khanmigo, a tutor for every child.  Prior to founding Khan Academy, Sal worked as a hedge fund analyst. He holds an MS in business from Harvard University, as well as an MS in Engineering and a BS in Computer Science from MIT. Show Links:  Khan Academy - CEO & Founder - Khan Academy | LinkedIn   Khan Academy Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @salkhanacademy Show Notes:  [0:00:06] - Sal Khan's Journey [0:08:41] - Mastery Learning and AI in Education [0:19:53] - Future of AI Tutors in Education [0:23:10] - Education's Future With Generative AI [0:29:35] - Connecting Learning Through Tutoring and Collaboration [0:33:22] - Implications of GPT 4 on Education [0:40:42] - Future of Education and Job Skills [0:46:47] - Importance of Traditional Skills in Education

This week on the podcast, Sarah Guo and Elad Gil answer listener questions on the state of technology and artificial intelligence. Sarah and Elad also talk about the 2024 tech market, what type of companies may reach their highest valuation ever and the (former) unicorns that may go bust. Plus, how do Sarah and Elad define happiness? Hint: it's a use case for a specialized AI agent.  Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil  Show Links: Cerebras Systems signs $100 million AI supercomputer deal with UAE's G42 | Reuters  Our World in Data  Show Notes:  [0:00:37] - Impact of GPU Bottleneck in the near and long term [0:10:30] - Timeline for existing incumbent enterprises to use AI in products  [0:11:50] - Vertical versus broad applications for AI Agents   [0:19:33] - 2024 tech market predictions & how founders should think about valuations 

Douwe Kiela is the CEO of Contextual AI, building the contextual language model to power the future of businesses. Last month Contextual closed a $20M funding round including Bain Capital, Sarah Guo, Elad Gil and 20VC. He is also an Adjunct Professor in Symbolic Systems at Stanford University. Previously, he was the Head of Research at Hugging Face, and before that a Research Scientist at Facebook AI Research. In Today's Episode with Douwe Kiela We Discuss: 1. Founding a Foundational Model Company in 2023: How did Douwe make his way into the world of AI and ML over a decade ago? What are some of his biggest lessons from his time working with Yann LeCun and Meta? How does Douwe's background in philosophy help him in AI today? 2. Foundational Model Providers: Challenges and Alternatives: What are the biggest problems with the existing foundational data models? Will there be one to rule them all? How does the landscape play out? Why does Douwe believe OpenAI's data acquisition strategy has been the best? 3. Data Models: Size and Structure: Why does Douwe believe it is naive to think the open approach will beat the closed approach? What are the biggest downsides to the open approach? Does the size of data model matter today? What matters more? How important is access to proprietary data? Are VCs naive to turn down founders due to a lack of access to proprietary data? 4. Regulation and the World Around Us: How does Douwe expect the regulatory landscape to play out around AI? Why is Europe the worst when it comes to regulation? Will this be different this time? How does Douwe analyse Elon's petition to pause the development of AI for 6 months? Do founders building AI companies have to be in the valley?

This week, we're sharing something special: The No Priors podcast. No Priors is your guide to the AI revolution. At this moment of inflection in technology, co-hosts Elad Gil and Sarah Guo ask the world's leading AI engineers, researchers and founders the biggest questions - people like Cristobal Valenzuela, Founder/CEO RunwayML and Kevin Scott, CTO of Microsoft.They ask questions like: How far away is AGI? What markets are at risk for disruption? How will commerce, culture, and society change? What's happening in state-of-the-art research? In this episode, Jensen Huang, legendary founder/CEO of Nvidia talks about how Nvidia is powering AI models, their latest chips, how he runs Nvidia, and the AI applications he's most excited about.You can find No Priors wherever you get your podcasts.And, thanks again for listening.LinksApple: https://podcasts.apple.com/us/podcast/no-priors-artificial-intelligence-machine-learning/id1668002688Spotify: https://open.spotify.com/show/0O65xhqvGVhpgdIrrdlEYkSupport this podcast at — https://redcircle.com/code-story/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy