No Priors: Artificial Intelligence | Machine Learning | Technology | Startups

This week on a host-only episode of No Priors, Sarah and Elad discuss the AI wave as compared to the internet wave, the current state of AI investing, the foundation model landscape, voice and video AI, advances in agentic systems, prosumer applications, and the Microsoft/Inflection deal. Have a question for our next host-only episode or feedback for our team? Reach out to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil  Show Notes:  (0:00) Intro (0:32) How to think about scaling in 2024 (3:21) Microsoft/Inflection deal (5:28) Voice cloning (7:02) Investing climate (12:50) Whitespace in AI (16:36) AI video landscape (19:54) Agentic user experiences (22:21) Prosumer as the first wave of application AI

Humans are always doing work that is dull or dangerous. Brett Adcock, the founder and CEO of Figure AI, wants to build a fleet of robots that can do everything from work in a factory or warehouse to folding your laundry in the home. Today on No Priors, Sarah got the chance to talk with Brett about how a company that is only 21 months old has already built humanoid robots that not only walk the walk by performing tasks like item retrieval and making a cup of coffee but they also talk the talk through speech to speech reasoning.  In this episode, Brett and Sarah discuss why right now is the correct time to build a fleet of AI robots and how implementation in industrial settings will be a stepping stone into AI robots coming into the home. They also get into how Brett built a team of world class engineers, commercial partnerships with BMW and OpenAI that are accelerating their growth, and the plan to achieve social acceptance for AI robots.  Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @adcock_brett Show Notes:  (0:00) Brett?s background (3:09) Figure AI Thesis (5:51) The argument for humanoid robots (7:36) Figure AI public demos (12:38) Mitigating risk factors (15:20) Designing the org chart and finding the team (16:38) Deployment timeline (20:41) Build vs buy and vertical integration (23:04) Product management at Figure (28:37) Corporate partnerships (31:58) Humans at home (33:38) Social acceptance  (35:41) AGI vs the robots

Companies are employing AI agents and co-pilots to help their teams increase efficiency and accuracy, but developing apps that are trained properly can require a skill set many enterprise teams don?t have. This week on No Priors, Sarah and Elad are joined by Harrison Chase, the CEO and co-founder of LangChain, an open-source framework and developer toolkit that helps developers build LLM applications. In this conversation they talk about the gaps in open source app development, what it will take to keep up with private companies, the importance of creating prompts that can be compatible with many API models, and why memory is so undeveloped in this space.  Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil |@hwchase17 Show Notes:  (0:00) Introduction to LangChain (1:45) Managing an open source environment (4:30) Developing useful AI agents (10:03) Sophistication and limitations of AI app development (14:17) Switching between model APIs (17:10) Context windows, fine-tuning and functionality (21:37) Evolution of AI open source environment (23:53) The next big breakthroughs

At a time when users are being asked to wait unthinkable seconds for AI products to generate art and answers, speed is what will win the battle heating up in AI computing. At least according to today?s guest, Tuhin Srivastava, the CEO and co-founder of Baseten which gives customers scalable AI infrastructures starting with interference. In this episode of No Priors, Sarah, Elad, and Tuhin discuss why efficient code solutions are more desirable than no code, the most surprising use cases for Baseten, and why all of their jobs are very defensible from AI.  Show Links: Baseten Benchmarking fast Mistral 7B inference Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @tuhinone Show Notes:  (0:00) Introduction (1:19) Capabilities of efficient code enabled development (4:11) Difference in training inference workloads (6:12) AI product acceleration (8:48) Leading on inference benchmarks at Baseten (12:08) Optimizations for different types of models (16:11) Internal vs open source models (19:01) timeline for enterprise scale (21:53) Rethinking investment in compute spend (27:50) Defensibility in AI industries (31:30) Hardware and the chip shortage (35:47) Speed is the way to win in this industry (38:26) Wrap

Figma has had a banner year and the formidable team isn?t slowing down?even after regulatory issues blocked the merger with Adobe. Today on No Priors, Sarah and Elad are joined by Dylan Field the CEO and founder of Figma, the design collaboration tool that is closing the gap between imagination and reality. They discuss what?s next for an independent Figma, how AI can augment design and speed up the iteration loop, and how Figma is expanding beyond design with products that help the entire product team?s workflow. Show Links: https://www.figma.com/ Figma and Adobe are abandoning our proposed merger Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @zoink Show Notes:  (0:00) Introduction (2:01) No more Adobe acquisition  (4:20) What?s next for Figma (7:16) FigJam, digital collaboration, and expanding beyond design (10:50) Figma DevMode (13:06) Incorporating AI at Figma (15:03) How AI will change design (19:19) Creativity augmentation and the iterative loop (22:44) Automating repetitive design tasks (25:35) The future of AI UI (29:44) Investing philosophy (31:28) Leadership evolution

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 [email protected] 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

Compute is the fuel for the AI revolution, and customers want more chip vendors. AMD CTO Mark Papermaster joins Sarah and Elad on No Priors to discuss AMD?s strategy, their newest GPUs, where inference workloads will live, the chip software stack, how they are thinking about supply chain issues, and what we can expect from AMD in 2024.  Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil Show Notes:  (0:00) Introduction and Mark?s background (2:35) AMD background and current markets (4:40) AMD shifting to AI space (8:54) AI applications coming out of AMD (10:57) Software investment (15:15) The benefits of open-source stacks (16:58) Evolving GPU market (20:21) Constraints on GPU production (24:11) Innovations in chip technology (27:57) Chip supply chain (30:18) Future of innovative hardware products (35:42) What?s next for AMD

Accurate, customizable search is one of the most immediate AI use cases for companies and general users. Today on No Priors, Elad and Sarah are joined by Pinecone CEO, Edo Liberty, to talk about how RAG architecture is improving syntax search and making LLMs more available. By using a RAG model Pinecone makes it possible for companies to vectorize their data and query it for the most accurate responses.  In this episode, they talk about how Pinecone?s Canopy product is making search more accurate by using larger data sets in a way that is more efficient and cost effective?which was almost impossible before there were serverless options. They also get into how RAG architecture uniformly increases accuracy across the board, how these models can increase ?operational sanity? in the dataset  for their customers, and hybrid search models that are using keywords and embeds.  Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @EdoLiberty Show Notes:  (0:00) Introduction to Edo and Pinecone (2:01) Use cases for Pinecone and RAG models (6:02) Corporate internal uses for syntax search (10:13) Removing the limits of RAG with Canopy (14:02) Hybrid search (16:51) Why keep Pinecone closed source (22:29) Infinite context (23:11) Embeddings and data leakage (25:35) Fine tuning the data set (27:33) What?s next for Pinecone  (28:58) Separating reasoning and knowledge in AI

Notion is a productivity app that has invested heavily in AI to create products that enable workers to access information instantly without having to search through their own countless notes. Today on No Priors, Sarah and Elad are joined by Ivan Zhao, the co-founder and CEO of Notion, to talk about Notions Q&A interface and calendar applications. They also get into how using RAG models means better retrieval, longer memory, and the user can be less organized and how Notion is leading the charge in this era of SaaS bundling products. Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @ivanhzhao Show Notes:  (0:00) Introduction (2:09) AI and Computing literacy (5:39) Building the Notion AI team (8:43) Notion as an application company (12:09) Prioritizing AI investment (14:53) The rapid evolution cycle of AI development (17:46) Notion Q&A (20:00) Workflow and AI for calendars (22:43) Moving past the need for organization (24:36) History of SaaS doesn?t repeat, it rhymes (30:14) Design at Notion (34:26) Notion office design (36:52) How RAG will change the future (38:30) Building our the software in the Notionscape

Many companies that are building AI products for their users are not primarily AI companies. Today on No Priors, Sarah and Elad are joined by Emily Glassberg Sands who is the Head of Information at Stripe. They talk about how Stripe prioritizes AI projects and builds these tools from the inside out. Stripe was an early adopter of utilizing LLMs to help their end user. Emily talks about how they decided it was time to meaningfully invest in AI given the trajectory of the industry and the wealth of information Stripe has access to. The company?s goal with utilizing AI is to empower non-technical users to code using natural language and for technical users to be able to work much quicker and in this episode she talks about how their Radar Assistant and Sigma Assistant achieve those goals.  Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @emilygsands Show Notes:  (0:00) Background (0:38) Emily?s role at Stripe (2:31) Adopting early gen AI models (4:44) Promoting internal usage of AI (8:17) Applied ML accelerator teams (10:36) Radar fraud assistant (13:30) Sigma assistant (14:32) How will AI affect Stripe in 3 years (17:00) Knowing when it?s time to invest more fully in AI (18:28) Deciding how to proliferate models (22:04) Whitespace for fintechs employing AI (25:41) Leveraging payments data for customers (27:51) Labor economics and data (30:10) Macro economic trends for strategic decisions (32:54) How will AI impact education (35:36) Unique needs of AI startups

Building an ecommerce business is hard ? it requires merchants to have a wealth of skills: technical, logistics, marketing, pricing, vendor management, finance and analytics. That?s why Shopify is releasing new AI features that help merchants tackle things like product descriptions, marketing suggestions and search. Today on No Priors, Glen Coates, the VP of core product at Shopify (and former founder of b2b wholesale platform Handshake), joins Sarah and Elad. They talk about the releases from Shopify Editions, why they are deploying ?copilot? rather than ?autopilot,? AI innovation-at-scale, how to change the basement of a house while people are living in it, and building a leadership team of entrepreneurs. Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @glencoates Shopify Editions | AI Section of Shopify Editions Show Notes:  (0:00) Background (2:22) Calling a ?Code Red? at Shopify (4:04) Integrating acquisitions, entrepreneurial leaders (12:15) AI adoption (15:51) Deciding when to ship AI products, evaluations (17:33) Shopify?s risk orientation (18:50) Changing the core Shopify data model, enabling AI features (26:05) What?s missing from LLMs for merchants (28:47) Most interesting AI developments in the industry (33:22) What users want from LLMs and search (38:20) No Priors social

Building adaptive AI models that can learn and complete tasks in the physical world requires precision but these AI robots could completely change manufacturing and logistics processes. Peter Chen, the co-founder and CEO of Covariant, leads the team that is building robots that will increase manufacturing efficiency, safety, and create warehouses of the future.  Today on No Priors, Peter joins Sarah to talk about how the Covariant team is developing multimodal models that have precise grounding and understanding so they can adapt to solve problems in the physical world. They also discuss how they plan their roadmap at Covariant, what could be next for the company, and what use case will bring us to the Chat-GPT moment for AI robots. Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @peterxichen Show Notes:  (0:00) Peter Chen Background (0:58) How robotics AI will drive AI forward (3:00) Moving from research to a commercial company (5:46) The argument for building incrementally  (8:13) Manufacturing robotics today (12:21) Put wall use case (15:45) What?s next for Covariant Brain (18:42) Covariant?s customers (19:50) Grounding concepts in Ai (25:47) How scaling laws apply to Covariant (29:21) Covariant?s driving thesis (32:54) the Chat-GPT moment for robotics (35:12) Manufacturing center of the future (37:02) Safety in AI robotics

Coding in collaboration with AI can reduce human toil in the software development process and lead to more accurate and less tedious work for coding teams. This week on No Priors, Sarah talked with Beyang Liu, the cofounder and CTO of Sourcegraph, which builds tools that help developers innovate faster. Their most recent launch was an AI coding assistant called Cody. Beyang has spent his entire career thinking about how humans can work in conjunction with AI to write better code. Sarah and Beyang talk about how Sourcegraph is thinking about augmenting the coding process in a way that ensures accuracy and efficiency starting with robust and high-quality context. They also think about what the future of software development could look like in a world where AI can generate high-quality code on its own and where that leaves humans in the coding process.  Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @beyang Show Notes:  (0:00) Beyang Liu?s experience (0:52) Sourcegraph premise (2:20) AI and finding flow (4:18) Developing LLMs in code (6:46) Cody explanation (7:56) Unlocking AI code generation (11:00) search architecture in LLMs (16:02) Quality-assurance in data set (18:03) Future of Cody (22:48) Constraints in AI code generation (30:28) Lessons from Beyang?s research days (33:17) Benefits of small models (35:49) Future of software development (42:14) What skills will be valued down the line

We?re looking back on 2023 and sharing a handful of our favorite conversations. Last year was full of insightful conversations that shaped the way we think about the most innovative movements in the AI space. Want to hear more? Check out the full episodes here: What is Digital Life? with OpenAI Co-Founder & Chief Scientist Ilya Sutskever  How AI can help small businesses with Former Square CEO Alyssa Henry Will Everyone Have a Personal AI? With Mustafa Suleyman, Founder of DeepMind and Inflection How will AI bring us the future of medicine? With Daphne Koller from Insitro The case for AI optimism with Reid Hoffman from Inflection AI Your AI Friends Have Awoken, With Noam Shazeer Mistral 7B and the Open Source Revolution With Arthur Mensch, CEO Mistral AI The Computing Platform Underlying AI with Jensen Huang, Founder and CEO NVIDIA Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @reidhoffman l @alyssahhenry l @ilyasut l @mustafasuleyman l @DaphneKoller l @arthurmensch l @MrJensenHuang Show Notes:  (0:00) Introduction (0:27) Ilya Sutskever on the governance structure of OpenAI (3:11) Alyssa Henry on how AI can small business owners (5:25) Mustafa Suleyman on defining intelligence (8:53) Reid Hoffman?s advice for co-working with AI (11:47) Daphne Koller on probabilistic graphical models (13:15) Noam Shazeer on the possibilities of LLMs (14:27) Arthur Mensch on keeping AI open (17:19) Jensen Huang on how Nvidia decides what to work on

AI doomerism and calls to regulate the emerging technology is at a fever pitch but today?s guest, Reid Hoffman is a vocal AI optimist who views slowing down innovation as anti-humanistic. Reid needs no introduction, he?s the co-founder of PayPal, Linkedin, and most recently Inflection AI which is building empathetic AI companions. He is also a board member at Microsoft and former board member at OpenAI. On this week?s episode, Reid joins Sarah and Elad to talk about the historical case for an optimistic outlook on emerging technology like AI, advice for workers who fear AI may replace them, and why it?s impossible to regulate before you innovate. Plus, some predictions. Aside from his storied experience in technology, Reid is an author, podcaster, and political activist. Most recently, he co-authors a book with GPT 4 called Impromptu: Amplifying Our Humanity Through AI. Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @alyssahhenry Show Notes:  (0:00) Reid Hoffman?s birdseye view on the state of AI (3:37) AI and human collaboration in workflows (5:23) What?s causing AI doomerism (12:28) Advice for whitecollar workers (16:45) Why Reid isn?t retiring (18:25) How Inflection started (22:06) Surprising ways people are using Inflection (25:34) Western bias and AI ethics (30:58) Structural challenges in governing AI (33:15) Most exciting whitespace in AI (35:00) GPT 5 and Innovations coming in the next two years (44:00) What future should we be building?

AI tools are helping small business owners manage their businesses, so they can stay focused on the aspects of their business they love to do. This week on No Priors, Sarah and Elad are joined by Alyssa Henry, an executive at some of the most impactful companies from Microsoft to Amazon. Most recently she was the CEO of Square. She led Square?s team as they were very early adopters of a consumer-facing product that used GPT-2 and have continued to incorporate AI into their offerings. On today?s episode, they talk about the whitespace within e-commerce for AI and lessons from the prior generation of infrastructure. Alyssa recently retired from being longtime CEO of Square, within Block. Before that she was a vice president of AWS running, amongst other things, the storage products, or the digital storage bucket for the world. And before AWS, she ran order management software at Amazon Retail and started her tech career at Microsoft. She remains on the boards of Intel, Confluent and was previously on the board of Unity.  Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @alyssahhenry Show Notes:  (0:00) Alyssa?s experience and career trajectory (2:30) Transition from engineer to manager (4:09) AI implementation at Square (7:46) Small business AI applications  (12:14) Latent demand for content generation (15:04) The origin story of Square?s GPT-2 products (16:54) Consolidating ecommerce workflows (18:46) How will AI change cloud services (23:07) Hyperscaler foundation models and the AI land grab (25:16) Enterprise demand for open source models (28:08) Startups in the AI semiconductor space (31:02) Scale up architectures vs scaling out (34:32) What?s next for Alyssa (36:08) What Elad and Sarah are excited about in 2024

AI is the new UI for enterprise customers, according to Clara Shih, the CEO of Salesforce AI. Salesforce released Einstein, now called Einstein GPT, in 2016, making it an early example of how beneficial AI can be when embedded in enterprise software. This week on No Priors, Sarah and Elad talked with Clara about what the evolution of AI in enterprise looks like, how Salesforce is adoption AI across the organization, and the onboarding process for companies looking to integrate AI into their workflow, plus the challenges of pricing for AI services. Clara Shih is the Chief Executive Officer of Salesforce AI where she leads the AI efforts across Salesforce including AI co-pilot and agent platform, model development, go-to-market growth, adoption, partnerships, ecosystems, and secure responsible AI. Before that was the CEO of Salesforce Service Cloud She is also the co-founder and previous CEO of Hearsay Systems. She is also on the Board of Directors at Starbucks.  Show Links:  Clara?s Linkedin Ask more of AI podcast Salesforce AI Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @clarashih Show Notes:  (0:00) Clara?s Background (0:50) From cloud services to AI (3:25) Internal Model Development vs Open Source (5:20) The Co-Pilot Approach (8:50) Enterprise AI Adoption (10:54) The future of Enterprise AI (13:23) Cross-team collaboration (14:40) AI is the new UI (19:11) Structuring the Dataset (21:25) What?s next for generative AI in Enterprise (23:18) Pricing challenges in AI (26:30) Startups and AI (28:22) Collaboration in AI Industry

OpenAI?s leadership has taken us all on a rollercoaster so it?s great timing for another host-only episode. This week Sarah and Elad get into what has been going on at OpenAI and what the turbulent leadership changes tell us about the importance of good intent and good incentives when building these influential companies. They also talk about innovative products coming out of Pika Labs, why people are moving away from diffusion models to LLMs, and how, in AI investing, the ASP is the opportunity.  Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil Show Notes:  (0:00) Recapping the OpenAI saga (9:56) AI video products (16:14) Moving from Diffusion Models to LLMs (19:47) The beneficial margins of AI investing

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 [email protected] 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 [email protected] 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 [email protected] 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 [email protected] 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 [email protected] 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

Startups aren't the only companies racing to build the new world of AI. This week, Sarah Guo talks with Brian Halligan, the co-founder, longtime CEO and now executive chairperson of HubSpot, the fastest growing CRM. He talks about category creation, coining the term ?inbound marketing,? lessons in scaling from an app to a suite to a platform, staying innovative at scale, and how they're navigating the AI disruption. Brian also describes the life-threatening moment he decided to step back from the CEO role. Plus, what he?s up to at Propeller Ventures and why he?s banking on the ocean to save us from climate change. Brian coined the term "inbound marketing" and together with Dharmesh Shah built a movement around the concept, which included organizing the industry-leading INBOUND event and co-authoring the book Inbound Marketing. Now, as the founder of Propeller Ventures, Brian directs a $100 million climate tech venture fund, specializing in ocean investments. He also serves on the boards of Navier and Aquatic Labs. Brian developed MIT?s popular Scaling Entrepreneurial Ventures class, which he?s taught for over a decade. Show Links:  Brian Halligan | LinkedIn  Propeller VC WHOI Partnership HubSpot Culture Code Read his books: Inbound Marketing and Marketing Lessons From the Grateful Dead Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil |@BHalligan Show Notes:  (0:00:00) - HubSpot's Journey from Unlikely Startup to Industry Incumbent (0:05:32) - The End of Cold Calling (and the Birth of Inbound) (0:16:40) - Building a Multi-Product Company (0:22:07) - How to Stay Innovative and Hungry after Going Public (0:29:12) - AI Workflows in CRM and the Incumbent Data Advantage (0:36:09) - Creating a Culture Code for HubSpot (0:40:24) - Propeller Venture Fund, Ours Oceans and Climate Investing

What Does it Take to Improve by 10x or 100x? This week is another host-only episode. Sarah and Elad talk about the path to better model quality, the potential for fine tuning to different use cases, retrieval systems (RAG), feedback systems (RLHF, RLAIF) and Meta?s sponsorship of the open source model ecosystem. Plus Sarah and Elad ask if we?re finally at the beginning of a new set of consumer applications and social networks. Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil  Show Notes: 0:03:00 - AI Models and Open AI Advances  0:08:59 - Addressing Hallucinations in AI Models  0:13:22 - Open Source Models in Consumer Engagement 0:16:23 - New Trends in Social Content Creation 0:21:53 - Balancing Ambition With Realistic Customer Expectations

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 [email protected] 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 [email protected] 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 [email protected] 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 [email protected] 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 [email protected] 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 [email protected] 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 [email protected] 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 [email protected] 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 [email protected] 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 

How are ML developer tools helping to advance our capabilities? Lukas Biewald, CEO of Weights & Biases, joins Sarah Guo and Elad Gil this week on No Priors. Lukas explores the impact of ML in various industries like gaming, AgTech, and fintech through his insightful perspective. He discusses the impact of LLMs, puts them in context of the evolution of ML engineering over the past decade and a half, and tells the backstory of Weights & Biases' success. He gives advice for aspiring AI company founders, placing emphasis on customer feedback and using insecurity as a vehicle for better customer discovery. Prior to founding Weights & Biases, Lukas attacked the problem of data collection for model training as the Founder of Figure Eight, which he sold in 2019. He holds an MS in Computer Science and a BS in Mathematics from Stanford University. Show Links:  Lukas Biewald - CEO & Co-founder - Weights & Biases | LinkedIn   Weights & Biases Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @l2k Show Notes:  [0:00:00] - Lucas Wald's Journey in AI [0:08:16] - Startup Evolution and Machine Learning [0:18:54] - Open Source Models Implications and Adoption [0:29:54] - ML Impact in Various Industries [0:40:27] - Advice for AI Company Founders

Can frontiers as high-stakes as next-generation, AI-enabled defense depend on something as mundane as data integration? Can "large language models" work in such mission critical applications? In this episode of No Priors, hosts Sarah Guo and Elad Gil are joined by Shyam Sankar, the Chief Technical Officer of Palantir Technologies and inventor of their famous Forward Deployed Engineering force. Early employee and longtime leader Shyam explains the evolution of technology at Palantir, from ontology and data integration to process visualization and now AI. He describes how a company of Palantir's scale has adopted foundation models and shares customer stories. They discuss the case for open source AI models fine-tuned on private, domain-specific data, and the challenges of anchoring AI models in reality. Show Links: Shyam Sankar - Chief Technical Officer - Palantir Technologies | LinkedIn   Palantir Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @ssankar Show Notes:  [0:00:00] - Palantir's CTO Discusses Company's Background [0:10:17] - Apollo and AIP [0:20:25] - Future of UI and Application Integration [0:28:29] - Investment in Co-Pilot Models and Education [0:31:22] - Exploring AI Implementation in Various Industries [0:38:19] - Operational and Analytical Workflows in Context

Video dominates modern media consumption, but video creation is still expensive and difficult. AI-generated and edited video is a holy grail of democratized creative expression. This week on No Priors, Sarah Guo and Elad Gil sit down with Devi Parikh. She is a Research Director in Generative AI at Meta and an Associate Professor in the School of Interactive Computing at Georgia Tech. Her work focuses on multimodality and AI for images, audio and video. Recently, she worked on Make a Video 3D, also called MAV3D, which creates animations from text prompts. She is also a talented AI-generated and analog artist herself. Elad, Sarah and Devi talk about what?s exciting in computer vision, what?s blocking researchers from fully immersive Generative 4-D, and AI controllability. No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode. Show Links: Devi Parikh - Google Scholar  Text-To-4D Dynamic Scene Generation named MAV3D (Make-A-Video3D) Full Research Paper Website with examples of image to 4 D generation Devi?s Substack Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @DeviParikh Show Notes: (0:00:06) - Democratizing Creative Expression With AI-Generated Video (0:08:31) - Challenges in Video Generation Research (0:15:57) - Challenges and Implications of Video Processing (0:20:43) - Control and Multi-Modal Inputs in Video (0:25:50) - Audio's Role in Visual Content (0:39:00) - Don't Self-Select & Devi?s tips for young researchers

Frank Slootman, CEO of Snowflake Computing, joins Sarah Guo and Elad Gil this week on No Priors. Before scaling Snowflake to its blockbuster IPO and beyond, Frank was also the CEO from early to scale for landmark enterprise companies ServiceNow and Data Domain. Frank grew up in the Netherlands and is also the author of three books: Amp It Up, Rise of the Data Cloud, and Tape Sucks. In this episode, our hosts talk with Frank about the opportunity for generative AI in the enterprise, why Snowflake isn't really a data warehousing company, their acquisitions of Neeva and Streamlit, apps within Snowflake, and how AI relates to traditional analytics and BI. He also talks about his personal journey, why it's always a good time to do performance management, and why most leaders struggle to raise the bar for performance. ** No Priors is taking a summer break! The podcast will be back with new episodes in three weeks. Join us on July 20th for a conversation with Devi Parikh, Research Director in Generative AI at Meta. ** No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode. Show Links: Forbes: How CEO-For-Hire Frank Slootman Turned Snowflake Into Software?s Biggest-Ever IPO Amp It Up: Leading for Hypergrowth by Raising Expectations, Increasing Urgency, and Elevating Intensity Rise of the Data Cloud (Audible Audio Edition): Frank Slootman, Steve Hamm, Zach Hoffman, Snowflake: Books TAPE SUCKS: Inside Data Domain, A Silicon Valley Growth Story eBook : Slootman, Frank: Kindle Store Frank Slootman?s LinkedIn Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @SnowflakeDB Show Notes: [00:06] - Frank?s Insights on Career Success as a three-time CEO [12:42] - The message of his book Amp It Up [25:01] - Future of Natural Language and Data [36:29] - Data Management and Industry Transformation Future [45:13] - Managing Resources in Changing Economic Environment [50:09] - Amping Up Energy and Intensity Amid Economic Headwinds

Fidji Simo, the CEO of Instacart and co-founder of Metrodora Institute, a medical center and research institute for neuroimmune axis disorders, shares her personal journey from growing up in France, to leading the Facebook app, to becoming a wartime CEO. Fidji talks about the future of Instacart, their AI strategy, how the current era of AI is different from prior ML waves, and the impact of LLMs in commerce, robotics and healthcare. She also shares how she earns followership from her teams. ** No Priors is taking a summer break! The podcast will be back with new episodes in three weeks. Join us on July 20th for a conversation with Devi Parikh, Research Director in Generative AI at Meta. ** No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode. Show Links: May 31, 2023: Instacart users can now plan meals using AI - Fast Company Profile May 13, 2023: Instacart CEO Fidji Simo makes groceries personal. Now she?s doing the same for women?s health December 2, 2021: Rapid Response: Re-founding Instacart, w/ first-time CEO Fidji Simo | Podcast: Masters of Scale with Reid Hoffman Metrodora Institute Fidji Simo?s LinkedIn Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Fidjissimo Show Notes: [00:01] - Leading With Impact and Authenticity [11:48] - Implementing AI [17:28] - Future of Grocery Shopping With AI [25:38] - AI in Advertising and Commerce [32:54] - Metrodora: AI in Biotech and Healthcare [34:18] - The positive impact of AI, mitigating harm & role of regulations

Olivier Pomel, co-founder and CEO of Datadog, the leading observability company, discusses the company?s founding story, early product sequencing, platform strategy, and acquisitions. Olivier also shares his thoughts on their more recent expansion into security, and why he?s bullish on the potential for AI in DevOps. ** No Priors is taking a summer break! The podcast will be back with new episodes in three weeks. Join us on July 20th for a conversation with Devi Parikh, Research Director in Generative AI at Meta. ** No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode. Show Links: Nov 22, 2022: Product-led Growth: Founder 1-on-1 with Datadog and Aiven - Olivier Pomel & Oskari Saarenmaa May 25, 2022: Datadog, Inc. (DDOG) CEO Olivier Pomel Presents at J.P. Morgan's 50th Annual Global Technology, Media and Communications Conference Jan 6, 2021: Datadog CEO Olivier Pomel on the cloud computing outlook Datadog?s Official Website Olivier Pomel LinkedIn Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Oliveur Show Notes: [00:10] - DevOps and AI Potential [06:54] - Datadog and Generative AI [20:40] - Datadog's Acquisition and Expansion Strategy [31:46] - LLMs in Automation and Precision [42:35] - Datadog's Customer Value and Growth

This week on No Priors, Sarah and Elad do another hangout to answer listener questions. Topics include debunking common misconceptions about AI and its implications on the world, the analogy to nuclear power and nuclear safety, the impact of larger context windows, developer productivity, incumbent announcements of AI products, and some requests for (fat) startups. No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode. Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @SchimpfBrian Show Notes: [00:21] - What Are People Getting Wrong About AI Right Now? / New Capabilities of NLP [04:35] - Nuclear Power and Safety Concerns [11:12] - Emerging AI Companies and Research [15:54] - China's Hardware Sanctions and Funding Ramp [20:34] - Innovation in Heterogeneous Compute Infrastructure [28:08] - Enterprise Stack and Decision Making [33:44] - Data's Impact on the World

Today on No Priors, we discuss defense technology, AI, drones, and autonomous vehicles (think giant submarine drones!) with Brian Schimpf, the co-founder and CEO of Anduril, a next-generation defense technology company. From his early days of coding at age 12 to working on self-driving cars, and finally founding Anduril, Brian's incredible journey led him to create innovative solutions for pressing defense problems. This episode covers the impact of AI, intelligent software, and other technologies to defense. We discuss the challenges of deploying and selling technology in the government spaceBrian shared his perspective on building general-purpose defense technology, the importance of a software-first approach, and how Anduril is working to solve urgent defense problems with speed and efficiency. As we wrapped up our conversation, we touched on the recent shift in the low cost of space launch, which has changed the way the US thinks about defense. We examined the proliferation of satellites, drones, and hypersonic missiles, and how these technologies can be applied, scaled, and built in a way that can fundamentally shift America's approach to defense. Don't miss this fascinating episode with Brian Schimpf as we uncover the cutting edge of defense technology and its implications for the future. No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode. Show Links: May 16, 2023: AI in Military Operations and How We Can Prevent It From Outsized Effects May 9, 2023: CNBC Disruptor 50 - Anduril Industries Anduril Website Anduril Newsroom Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @SchimpfBrian Show Notes: [0:00:01] - Exploring AI in Defense Tech [0:05:15] - Lower Cost Defense With Intelligent Software [0:15:10] - Building General Purpose Defense Technology [0:20:41] - Autonomy in Defense Challenges [0:25:05] - Machine Learning in Defense & Intelligence [0:29:06] - Scaling a Defense Tech Company [0:37:08] - The Future of Defense Technology [0:46:53] - Allied Forces and Washington Engagement [0:51:47] - Discussion on Leadership Popularity

In this episode, Sarah and Elad speak with Microsoft CTO Kevin Scott about his unlikely journey from rural Virginia to becoming the driving force behind Microsoft's AI strategy.  Sarah and Elad discuss the partnership that Kevin helped forge between Microsoft and OpenAI and explore the vision both companies have for the future of AI. They also discuss yesterday?s announcement of ?copilots? across the Microsoft product suite, Microsoft?s GPU computing budget, the potential impact of open source AI models in the tech industry, the future of AI in relation to jobs, why Kevin is bullish on creative and physical work, and predictions for progress in AI this year. No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode. Show Links: May 23, 2023: The Verge - Microsoft CTO Kevin Scott Thinks Sydney Might Make a Comeback May 23, 2023: Microsoft Outlines Framework For Building AI Apps and Copilots January 10, 2023: A Conversation with Kevin Scott: What?s Next In AI Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @kevin_scott Show Notes: [00:00] - Kevin Scott's Journey to Microsoft CTO [12:44] - Microsoft and Open AI Partnership [21:18] - The Future of Open Source AI [32:12] - AI for Everyone [45:29] - AI and the Future of Jobs [51:44] - The Future of AI and Regulation [58:10] - Taking a Global Perspective

What if AI could revolutionize healthcare with advanced language learning models? Sarah and Elad welcome Karan Singhal, Staff Software Engineer at Google Research, who specializes in medical AI and the development of MedPaLM2. On this episode, Karan emphasizes the importance of safety in medical AI applications and how language models like MedPaLM2 have the potential to augment scientific workflows and transform the standard of care. Other topics include the best workflows for AI integration, the potential impact of AI on drug discoveries, how AI can serve as a physician's assistant, and how privacy-preserving machine learning and federated learning can protect patient data, while pushing the boundaries of medical innovation. No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode. Show Links: May 10, 2023: PaLM 2 Announcement April 13, 2023: A Responsible Path to Generative AI in Healthcare March 31, 2023: Scientific American article on Med-PaLM February 28, 2023: The Economist article on Med-PaLM KaranSinghal.com Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @thekaransinghal Show Notes: [00:22] - Google's Medical AI Development [08:57] - Medical Language Model and MedPaLM 2 Improvements [18:18] - Safety, cost/benefit decisions, drug discovery, health information, AI applications, and AI as a physician's assistant. [24:51] - Privacy Concerns - HIPAA's implications, privacy-preserving machine learning, and advances in GPT-4 and MedPOM2. [37:43] - Large Language Models in Healthcare and short/long term use.

Mustafa Suleyman, co-founder of DeepMind and now co-founder and CEO of Inflection AI, joins Sarah and Elad to discuss how his interests in counseling, conflict resolution, and intelligence led him to start an AI lab that pioneered deep reinforcement learning, lead applied AI and policy efforts at Google, and more recently found Inflection and launch Pi. Mustafa offers insights on the changing structure of the web, the pressure Google faces in the age of AI personalization, predictions for model architectures, how to measure emotional intelligence in AIs, and the thinking behind Pi: the AI companion that knows you, is aligned to your interests, and provides companionship. Sarah and Elad also discuss Mustafa?s upcoming book, The Coming Wave (release September 12, 2023), which examines the political ramifications of AI and digital biology revolutions. No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode. Show Links: Forbes - Startup From Reid Hoffman and Mustafa Suleyman Debuts ChatBot Inflection.ai Mustafa-Suleyman.ai Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @mustafasuleymn Show Notes: [00:06] - From Conflict Resolution to AI Pioneering [10:36] - Defining Intelligence [15:32] - DeepMind's Journey and Breakthroughs [24:45] - The Future of Personal AI Companionship [33:22] - AI and the Future of Personalized Content [41:49] - The Launch of Pi [51:12] - Mustafa?s New Book The Coming Wave

How do you personalize AI models? A popular school of thought in AI is to just dump all the data you need into pre-training or fine tuning. But that may be less efficient and less controllable than alternatives ? using AI models as a reasoning engine against external data sources. Kelvin Guu, Senior Staff Research Scientist at Google, joins Sarah and Elad this week to talk about retrieval, memory, training data attribution and model orchestration. At Google, he led some of the first efforts to leverage pre-trained LMs and neural retrievers, with >30 launches across multiple products. He has done some of the earliest work on retrieval-augmented language models (REALM) and training LLMs to follow instructions (FLAN). No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode. Show Links: Kelvin Guu Website Google Scholar FLAN: Finetuned Language Models Are Zero-Shot Learners Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs ROME: Locating and Editing Factual Associations in GPT Branch-Train-Merge: Scaling Expert Language Models with Unsupervised Domain Discovery Large Language Models Struggle to Learn Long-Tail Knowledge  Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Kelvin_Guu Show Notes: [1:44] - Kelvin?s background in math, statistics and natural language processing at Stanford [3:24] - The questions driving the REALM Paper [7:08] - Frameworks around retrieval augmentation & expert models [10:16] - Why is modularity important [11:36] - FLAN Paper and instruction following [13:28] - Updating model weights in real time and other continuous learning methods [15:08] - Simfluence Paper & explainability with large language models [18:11] - ROME paper, ?Model Surgery? exciting research areas [19:51] - Personal opinions and thoughts on AI agents & research [24:59] - How the human brain compares to AGI regarding memory and emotions [28:08] - How models become more contextually available [30:45] - Accessibility of models [33:47] - Advice to future researchers

This week on No Priors, Sarah and Elad answer listener questions about tech and AI. Topics covered include the evolution of open-source models, Elon AI, regulating AI, areas of opportunity, and AI hype in the investing environment. Sarah and Elad also delve into the impact of AI on drug development and healthcare, and the balance between regulation and innovation. Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil Show Notes:  [0:00:06] - The March of Progress for Open Source Foundation Models  [0:06:00] - Should AI Be Regulated? [0:13:49] - Investing in AI and Exploring the AI Opportunity Landscape [0:23:28] - The Impact of Regulation on Innovation [0:31:55] - AI in Healthcare and Biotech

So much of the AI conversation today revolves around models and new applications. But this AI revolution would not be possible without one thing ? GPUs, Nvidia GPUs. The Nvidia A100 is the workhorse of today?s AI ecosystem. This week on No Priors, Sarah Guo and Elad Gil sit down with Jensen Huang, the founder and CEO of NVIDIA, at their Santa Clara headquarters. Jensen co-founded the company in 1993 with a goal to create chips that accelerated graphics. Over the past thirty years, NVIDIA has gone far behind gaming and become a $674B behemoth. Jensen talks about the meaning of this broader platform shift for developers, making very long term bets in areas such as climate and biopharma, their next-gen Hopper chip, why and how NVIDIA chooses problems that are unsolvable today, and the source of his iconic leather jackets. No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode. Show Links: Jensen Huang | NVIDIA Nvidia's A100 is the $10,000 chip powering the race for A.I. | CNBC Nvidia CEO Jensen Huang: A.I. is at ?inflection point? | Fortune Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Nvidia Show Notes:  [1:26] - The early days when Jensen Co-founded NVIDIA [4:58] - Why NVIDIA started to expand its aperture to artificial intelligence use cases  [10:42] - The moment in 2012 Jensen realized AI was going to be huge [13:52] - How we?re in a broader platform shift in computer science [17:48] - His vision for NVIDIA?s future lines of business [18:09] - How NVIDIA has two motions: Shipping reliable chips and solving new use cases  [25:41] - Why no one should assume they?re right for the job of CEO and why not every company needs to be architected as the US military  [31:39] - What?s next for NVIDIA?s Hopper  [32:57] - Durability of Transformers  [35:08] - What Jensen is excited about in the future of AI & his advice for founders

Noam Shazeer played a key role in developing key foundations of modern AI - including co-inventing Transformers at Google, as well as pioneering AI chat pre-chatGPT. These are the foundations supporting today?s AI revolution. On this episode of No Priors, Noam discusses his work as an AI researcher, engineer, inventor, and now CEO.  Noam Shazeer is currently the CEO and Co-founder of Character AI, a service that allows users to design and interact with their own personal bots that take on the personalities of well-known individuals or archetypes. You could have a socratic conversation with Socrates. You could pretend you?re being interviewed by Oprah. Or you could work through a life decision with a therapist bot. Character recently raised $150M from A16Z, Elad Gil, and others. Noam talks about his early AI adventures at Google, why he started Character, and what he sees on the horizon of AI development. No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode. Show Links: Noam Shazeer - Google Scholar Noam Shazeer - Chief Executive Officer - Character.AI | LinkedIn  Character.AI Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Character_ai Show Notes:  [1:50] - Noam?s early AI projects at Google [7:13] - Noam?s focus on language models and AI applications [11:13] - Character?s co-founder Daniel de Freitas Adiwardana work on Google?s Lambda [13:53] - The origin story of Character.AI  [18:47] - How AI can express emotions [26:51] - What Noam looks for in new hires

If you have 30 dollars, a few hours, and one server, then you are ready to create a ChatGPT-like model that can do what?s known as instruction-following. Databricks? latest launch, Dolly, foreshadows a potential move in the industry toward smaller and more accessible but extremely capable AIs. Plus, Dolly is open source, requires less computing power, and fewer data parameters than its counterparts. Matei Zaharia, Cofounder & Chief Technologist at Databricks, joins Sarah and Elad to talk about how big data sets actually need to be, why manual annotation is becoming less necessary to train some models, and how he went from a Berkeley PhD student with a little project called Spark to the founder of a company that is now critical data infrastructure that?s increasingly moving into AI. No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode. Show Links: Hello Dolly: Democratizing the magic of ChatGPT with open models Dolly Source Code on Github Matei Zaharia - Chief Technologist & Cofounder - Databricks | LinkedIn Matei Zaharia - Google Scholar Databricks debuts ChatGPT-like Dolly, a clone any enterprise can own | VentureBeat Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Databricks | @Matei_Zaharia Show Notes:  [01:29] - Origin of Databricks [4:30] - Work at Stanford Lab [5:29] - Dolly and Role of Open Source [12:30] - Industry focus on high parameter count, understanding reasoning at small model scale [18:42] - Enterprise applications for Dolly & chat bots [25:06] - Making bets as an academic turned CTO [36:23] - The early stages of AI and future predictions

Everyone talks about the future impact of AI, but there?s already an AI product that has revolutionized a profession. Alex Graveley was the principal engineer and Chief Architect behind Github Copilot, a sort of pair-programmer that auto-completes your code as you type. It has rapidly become a product that developers won?t live without, and the most leaned-upon analogy for every new AI startup ? Copilot for Finance, Sales, Marketing, Support, Writing, Decision-Making. Alex is a longtime hacker and tinkerer, open source contributor, repeat founder, and creator of products that millions of people use, such as Dropbox Paper. He has a new project in stealth, Minion AI. In this episode, we talk about the uncertain process of shipping Copilot, how code improves chain of thought for LLMs, how they improved product, performance, how people are using it, AI agents that can do work for us, stress testing society's resilience to waves of new technology, and his new startup named Minion. No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode. Show Links: Alex Graveley - San Francisco, California, United States | Professional Profile | LinkedIn Minion AI Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @alexgraveley | @ai_minion Show Notes: [1:50] - How Alex got started in technology  [2:28] - Alex?s earlier projects with Hack Pad and Dropbox Paper [07:32] - Why Alex always wanted to make bots that did stuff for people [11:56] - How Alex started working at Github and Copilot [27:11] - What is Minion AI [30:30] - What?s possible on the horizon of AI