Episodit
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I sat down with DeepL cofounder Jarek Kutylowski. DeepL is a comprehensive Language AI platform that enables organizations to communicate effectively across languages, cultures, and markets. Jarek shared a treasure trove of insights on the past, present, and future of AI translation. Here were some standout moments:
[0:00] Intro
[0:38] The Rise of AI and DeepL's Journey
[1:41] DeepL's Competitive Edge and Market Impact
[2:41] Innovations in AI Translation
[4:39] DeepL's Product and Use Cases
[7:35] Challenges and Strategies in AI Translation
[14:29] Human Translators and Data Labeling
[24:39] Building and Scaling AI Infrastructure
[32:52] Evaluating AI Models: Objective vs Subjective
[34:05] Translation Quality Metrics
[35:35] The Debate on AI Moats and Specialized Models
[40:16] The Impact of Real-Time Translation on Business
[45:05] Challenges in Developing Synchronous Speaking Models
[46:49] Adjacent AI Technologies and Their Potential
[48:33] QuickfireWith your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
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Joshua Xu is co-founder and CEO of HeyGen -- the fast-growing AI video creation and translation platform. You can upload a video, or create a new one from a script using an AI avatar as your star, and HeyGen will translate it into 175 languages. HeyGen now serves over 40,000 customers and is generating $35+ million in revenue.
[0:00] Intro
[0:37] HeyGen's Viral Moments
[1:23] Creating Magic with AI
[3:30] The Future of AI in Video Production
[9:29] HeyGen's Use Cases and Customer Base
[13:15] AI Avatars
[25:46] The Future of Content
[26:43] Competing with Industry Giants
[27:16] Innovating for New Markets
[31:24] Enterprise Push: Lessons and Surprises
[33:07] Trust and Safety in AI
[37:03] Fundraising and Financial Strategies for AI Startups
[41:22] Quickfire
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
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Puuttuva jakso?
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Percy Liang is a Stanford professor and co-founder of Together AI, driving some of the most critical advances in AI research.
Percy is also a trained classical pianist, which clearly influences the way he thinks about technology. We explored the evolution of AI from simple token prediction to autonomous agents capable of long-term problem-solving, the problem of interpretability, and the future of AI safety in complex, real-world systems.
[0:00] Intro
[0:46] Discussing OpenAI's O1 Model
[2:21] The Evolution of AI Agents
[3:27] Challenges and Benchmarks in AI
[4:38] Compatibility and Integration Issues
[6:17] The Future of AI Scaffolding
[10:05] Academia's Role in AI Research
[15:17] AI Safety and Holistic Approaches
[18:32] Regulation and Transparency in AI
[21:42] Generative Agents and Social Simulations
[29:14] The State of AI Evaluations
[32:07] Exploring Evaluation in Language Models
[35:13] The Challenge of Interpretability
[39:31] Innovations in Model Architectures
[43:18] The Future of Inference and Customization
[46:46] Milestones in AI Research and Reasoning
[49:43] Robotics and AI: The Road Ahead
[52:24] AI in Music: A Harmonious Future
[55:52] AI's Role in Education and Beyond
[56:30] Quickfire
[59:16] Jacob and Pat Debrief
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
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Douwe’s contributions to AI are truly a part of its bedrock foundations. He wrote the first paper on retrieval-augmented generation (RAG) and has raised over $100 million to help enterprises build contextual language models that fit their use cases. Before Contextual he was the head of research at Hugging Face, worked on the Facebook AI research team (i.e. Llama) and remains a professor at Stanford. Douwe was incredibly open about his take on AI’s recent history and where he thinks it’s going.
[0:00] Intro
[0:51] Exploring the Impact of Systems Thinking in AI
[1:49] Latency Constraints and AI Deployments
[2:05] Benchmarks and Real-World Applications
[3:27] Transition to Contextual and Company Vision
[5:12] Challenges and Innovations in Enterprise AI
[8:51] The Evolution and Future of RAG
[15:26] Alignment and Reinforcement Learning in AI
[23:52] Collaborations and the Role of Academia
[29:15] The Evolving Role of AI Developers
[30:19] Changing Perspectives in AI Research
[30:44] Synthetic Data and Agentic Workflows
[33:47] The Future of Multimodal Data
[35:31] Reasoning Capabilities in AI Models
[42:56] The Rise of Multi-Agent Systems
[45:24] Hugging Face and the AI Ecosystem
[46:59] Building Contextual and AI Startups
[49:51] The Future of AI and Personalized Entertainment
[50:41] Quickfire Round: Overhyped and Underhyped AI
[56:25] Final Thoughts and Parting WordsWith your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
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If you don’t know Grammarly, it’s a personalized AI assistant for writing that has over 30 Million Daily Active Users. Grammarly has been building AI productivity tooling long before the most recent GenAI wave and has raised over $400M, with a current valuation of $13B. Rahul believes AI will enable everyone to focus on more meaningful, creative interactions by automating the "drudgery" of daily tasks. It was interesting to hear him talk about how he thinks about competition and his longer-term perspective on how AI will be adopted by the enterprise.
[0:00] Intro
[1:03] The Future of AI in Human Communication
[3:47] Grammarly's Evolution and Product Overview
[8:21] Limitations of LLMs
[15:31] The Impact of ChatGPT and Future Prospects
[23:52] Fine-Tuning AI for User Needs
[30:16] Competitive Landscape and Differentiators
[39:14] AI in Education
[46:25] Over-hyped/Under-hyped
[49:57] Most Exciting AI StartupsWith your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
-
Sarah Buchner is the Founder and CEO of Trunk Tools (https://trunktools.com/). She is a one-of-a-kind founder, having spent her young life as a carpenter in Austria and then working her way up the ranks of the construction industry. She’s also earned several graduate degrees including an MS in Civil Eng, a PHD in Data Science and an MBA from Stanford.
Trunk Tools is an AI Tool for the $13T construction industry aimed at enhancing project management and addressing the skilled Labor shortage.
We wanted to have Sarah on to share her experience in building a vertical AI tool - specifically: where AI will have the biggest impact on construction and behind the scenes of how they’ve built tools like TrunkText and TrunkScheduler to massively reduce the amount of rework in construction.
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
-
Snowflake sits in a unique position in the AI landscape: They enable fast, secure, and scalable proprietary data access for thousands of customers, many of whom are building AI tools. They also maintain their own suite of AI products, increasing the utility of their platform and empowering customers who may not have the resources to build their own.
That’s why it was so fascinating to speak with Baris Gultekin, Snowflake’s Head of AI, on our latest Unsupervised Learning. Baris has helped Snowflake launch several key products, including Cortex, AI Data Cloud, and even Snowflake’s own LLM, called Arctic. Baris was a founder himself — he joined Snowflake through an acquisition of his blockchain API startup, nxyz. He has a unique window into the future of AI via his role building key infrastructure. It was really fun to dive deep into this side of the AI ecosystem with Baris.
[0:00] Intro
[0:33] Snowflake's AI Product Portfolio
[0:52] Building Arctic LLM: Challenges and Innovations
[2:57] Use Cases and Applications of Arctic LLM
[3:10] Cortex: Snowflake's Managed Service for LLMs
[4:26] Tackling BI Challenges with Cortex Analyst
[8:46] Data Extraction and Analysis with AI
[10:15] Snowflake's AI Strategy and Future Directions
[13:12] Governance and Security in AI Deployments
[22:25] Supporting and Integrating New AI Models
[24:02] Discussing the 405B AI Model
[25:02] Enterprise Use Cases and Cost Considerations
[26:09] Future of Arctic LM and Security Concerns
[26:59] Open Source Models and Guardrails
[30:21] Internal Use of LLMs at Snowflake
[31:32] Comparing Snowflake and Databricks AI Strategies
[33:24] Opportunities for AI Startups
[34:14] Exciting AI Developments and Future Prospects
[40:34] Over-hyped/Under-hyped
[45:58] Closing Thoughts and Resources
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
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We’re excited to bring you Connor Zwick, CEO and cofounder of Speak, on the podcast this week! Speak helps people learning a language have conversations with an AI speaking partner, which is critical to gaining fluency. It’s backed by OpenAI and most recently raised at a $500M valuation. Since launching in its inaugural market of South Korea in 2019, Speak has grown to over 10 million users and now has customers in more than 40 countries.
We learned so much about how language works and how Connor has built this startup. Some of our favorite bits:
[0:00] Intro
[0:38] Connor's Entrepreneurial Journey
[3:40] Diving into AI and Language Learning
[6:07] The Evolution of Speak
[9:30] Building Specialized Models and Overcoming Challenges
[18:17] User Experience and Interface Design
[24:18] Future of AI in Language Learning
[35:38] Comparing Duolingo and Speak
[38:00] Challenges in Translation and Human Connection
[41:18] Specialized AI Models and Their Impact
[47:41] Opportunities in Professional and Personal Learning
[53:38] The Evolution of Education with AI
[59:31] Final Thoughts and Reflections
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
-
It was very special to have Github CEO Thomas Dhomke on the pod for many reasons, not the least of which is that my partner Erica Brescia was COO at Gitlab just before joining Redpoint! Thomas has been at Github for almost 6 years, and has been CEO for almost 3 of those years. He has a pulse on what engineers around the world are looking for from the world’s leading developer platform, and incredible vision and empathy in making Github delivers it.
[0:00] Intro
[1:08] The Magic of GitHub Copilot
[2:07] AI's Impact on Software Development
[2:49] Global Adoption and Democratization of AI
[4:20] Keeping Developers in the Creative Flow
[6:59] Future of Software Development with AI
[9:54] Challenges and Opportunities in AI-Powered Coding
[11:31] The Role of Agents in Copilot's Strategy
[17:03] AI's Influence on Open Source Ecosystem
[24:08] Fine-Tuning and Customization of Copilot
[28:22] The Rapid Evolution of Copilot
[30:26] Future Innovations and Accelerating Pace of AI
[33:09] The Future of AI in Software Development
[33:44] AI's Impact on Different Tech Stacks
[34:21] The Evolution of Media Consumption
[35:15] The Competitive Landscape of AI Models
[37:02] The Infinite Game of Business
[38:17] The Role of Multiple AI Models in Enterprises
[43:01] Advice for Founders Competing with Incumbents
[45:06] The Importance of Focus in Startups
[45:50] Expanding the GitHub Ecosystem with Extensions
[47:20] The Next Wave of Copilot
[50:57] Quick Fire Questions
[54:35] Erica and Jordan Debrief
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
-
Cris is the co-founder and CEO of Runway, which builds breathtakingly real video AI tools, including the incredible Gen-3 Alpha foundation model. Cris sits right at the intersection of technology and creativity, and in 2023 was named to TIME’s 100 Most Influential People in AI. Runway is reported to be in talks to raise capital at a $4 Billion valuation.
(0:00) intro
(0:37) how early are we in the AI for creative tools space
(3:01) how Cris tests new models
(8:21) who uses Runway?
(10:37) how Runway teaches new users
(14:08) does UI matter?
(29:09) what are the next frontiers for video models?
(32:32) allocating resources for the research time
(39:15) how Cris thinks about pricing
(42:10) one video model to rule them all?
(44:24) incorporating IP
(52:45) over-hyped/under-hyped
(53:30) biggest surprises while building Runway
(55:12) advice for art studentsWith your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
-
According to Ramp’s (ramp.com) quarterly spend report, Fireflies was the 4th highest AI platform by spend. With over 300,000 customers worldwide and 16M users, Fireflies.ai is operating at some of the largest scale amongst AI companies today.
This week on Unsupervised Learning we had Krish Ramineni, Co-founder & CEO of Fireflies on to talk about how he sees AI changing the way we work and conduct meetings, and share his biggest learnings around AI in building Fireflies.
(0:00) intro
(1:01) how will AI change meetings going forward
(4:03) Fireflies’ capabilities
(8:18) how new models change Fireflies
(11:19) shortcomings of current models
(16:36) Krish’s lack of belief in fine-tuning
(26:19) dealing with high inference costs
(34:00) taking on incumbents
(40:50) what metrics matter most to Fireflies
(46:37) how is Fireflies so fast?
(54:28) over-hyped/under-hyped
(55:11) biggest surprises in building Fireflies
(1:01:15) Jacob and Rashad debrief
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
-
Scott Belsky is the founder of Behance, a creative platform sold to Adobe in 2012. He’s since gone on to take on the role of Chief Product Officer at Adobe leading design for all products across Creative Cloud, Document Cloud and the Digital Experience business. This week on Unsupervised Learning Scott shares his thoughts on the future of creative tools with AI, a future where hyper-personalization wins and what humans will do when content is commoditized.
(0:00) intro
(2:27) Adobe’s new AI tools
(4:40) best uses of Adobe’s AI features
(7:22) educating users
(9:28) will the future have one model or thousands?
(11:01) Adobe building their own models
(15:12) goals for video generation
(19:40) hyper-personalized media
(22:11) AI music
(26:30) pricing for AI features
(28:02) biggest surprises in building AI features for Adobe
(30:58) most exciting AI startups (KoBold AI)
(32:13) where else would Scott build in the AI world
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
-
Last week, Suno announced $125M in funding, marking a significant milestone in their journey to reshape the music creation landscape. On this week's episode of Unsupervised Learning, we caught up with Suno's founder, Mikey Shulman, to dive into their approach to multiplayer music collaboration, how they got Suno to be so fast and the future of digital concerts (and workshopped new intro music for the pod 👀).
(0:00) intro
(0:31) Mikey’s favorite Suno songs
(5:17) who uses Suno?
(7:50) teaching people how to use Suno
(9:57) new ways to prompt models
(13:24) the social aspect of Suno
(17:45) how does Suno approach pricing?
(19:37) model eval
(23:27) how models can improve
(24:58) how is Suno so fast?
(26:50) handling usage spikes
(34:28) raising $125 million
(41:00) IP partnerships
(45:55) over-hyped/under-hyped
(46:56) biggest surprises in building Suno
(50:53) generating an Unsupervised Learning theme song
(53:26) Jacob and Rashad debriefWith your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
-
In this week’s episode of Unsupervised Learning, we delve into the forefront of AI innovation with Eric Ries and Jeremy Howard. Eric Ries, renowned for pioneering the Lean Startup movement, has consistently influenced modern entrepreneurial strategies with his emphasis on agile, sustainable growth through innovation. Jeremy Howard is known for his contributions to deep learning and data science, co-founding the fast.ai educational initiative that democratizes access to cutting-edge AI learning.
Eric's new podcast and newsletter:
https://www.ericriesshow.com/
https://ericries.carrd.co/
(0:00) intro
(0:33) The Lean Startup
4:34) thinking about defensibility
(9:10) best way to get caught up on AI
(11:34) starting Answer.ai
(23:48) efficient fine-tuning of Llama 3
(38:21) AI regulations
(48:27) over-hyped/under-hyped
(48:53) most exciting AI startups
(55:37) Jacob and Jordan debrief
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
-
In this cross-over episode, Sam Altman sat down with Logan on the day of the ChatGPT-4o announcement to share behind-the-scenes details of the launch and offer his predictions for the future of AI. Altman delves into OpenAI’s vision, discusses the timeline for achieving AGI, and explores the societal impact of humanoid robots. He also expresses his excitement and concerns about AI personal assistants, highlights the biggest opportunities and risks in the AI landscape today, and much more.
(0:00) Intro
(00:41) The Personal Impact of Leading OpenAI
(01:35) Unveiling Multimodal AI: A Leap in Technology
(02:38) The Surprising Use Cases and Benefits of Multimodal AI
(03:14) Behind the Scenes: Making Multimodal AI Possible
(08:27) Envisioning the Future of AI in Communication and Creativity
(10:12) The Business of AI: Monetization, Open Source, and Future Directions
(16:33) AI's Role in Shaping Future Jobs and Experiences
(20:20) Debunking AGI: A Continuous Journey Towards Advanced AI
(23:55) Exploring the Pace of Scientific and Technological Progress
(24:09) The Importance of Interpretability in AI
(25:02) Navigating AI Ethics and Regulation
(27:17) The Safety Paradigm in AI and Beyond
(28:46) Personal Reflections and the Impact of AI on Society
(29:02) The Future of AI: Fast Takeoff Scenarios and Societal Changes
(30:50) Navigating Personal and Professional Challenges
(40:12) The Role of AI in Creative and Personal Identity
(43:00) Educational System Adaptations for the AI Era
(44:21) Contemplating the Future with Advanced AI
(45:21) Jacob and Pat DebriefWith your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq'd by VMWare)
@jordan_segall
- Partner at Redpoint
-
On this week’s Unsupervised Learning, Pat and I sat down with CTO and Co-Founder of Sourcegraph, Beyang Liu. Sourcegraph is a leader in the AI coding space, and recently launched AI coding assistant, Cody. Beyang shared with us his view on the current landscape of AI coding and the future of coding and software development. He also shared how Sourcegraph has tried to make RAG better, and their model eval approaches.
(0:00) intro
(0:47) advice for young coders
(3:34) AI products at Sourcegraph
(6:17) the current state of AI coding
(12:33) what happens when a new GPT model comes out?
(20:16) what types of developers benefit from these AI tools?
(30:45) how important is inference cost?
(35:31) how does Sourcegraph structure AI teams?
(41:27) what metrics does Sourcegraph use to evaluate their products?
(50:02) customizing RAG
(56:55) getting ahead of the agentic future
(1:05:05) will there be more or less engineers in the future?
(1:13:50) over-hyped/under-hyped
(1:16:56) surprises during the Sourcegraph journey
(1:18:26) cognition buzz and Devin
(1:26:48) Jacob and Pat debriefWith your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
-
Pinecone has raised over $130 million and was most recently valued at $750 million. On this week’s Unsupervised Learning, we sat down with CEO and Founder of Pinecone, Edo Liberty. Pinecone is arguably one of the most important elements in today's modern datastack. Edo shared with us the most common use cases of Pinecone, the evolving landscape of vector databases, challenges in building vector databases, the "painful" launch of serverless model, and what people get wrong the most about Pinecone.
(0:00) intro
(0:33) what was it like when ChatGBT came out?
(6:29) Edo’s favorite applications built on Pinecone
(10:34) will we see more image and video applications in 2024?
(14:58) best ways to deal with hallucinations
(18:12) the evolving landscape of vector databases
(20:27) if Edo had to build a product, what would his stack look like?
(31:45) helping clients versus letting them figure things out
(36:38) moving to a serverless model
(40:33) what areas of AI should new startups target?
(45:18) Amazon SageMaker
(50:38) over-hyped/under-hyped
(51:30) biggest surprises while building Pinecone
(56:13) Jacob and Pat debrief
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
-
Mistral AI is often seen as the startup challenging OpenAI and incumbents developing LLMs. On this week’s episode of Unsupervised Learning, we sat down with CEO and Co-Founder at Mistral AI, Arthur Mensch. Arthur shared with us his view on why open-source will prevail, how Mistral gets LLMs into the hands of enterprises, the build vs. partnership decisions, the competitive landscape and future of LLMs, and how he’d regulate AI safety.
(0:00) intro
(0:46) origins of the name “Mistral”
(2:20) logo origins
(3:06) closed-source vs open-source models
(6:31) “training models is what we do best”
(7:50) Mistral’s partnership strategy
(10:12) the next frontiers for LLMs
(11:47) Meta’s GPU announcement
(13:03) when will Mistral catch up to ChatGPT?
(16:00) NVIDIA chips
(16:55) AI regulation and EU AI Act
(20:07) who should handle AI safety?
(20:51) policy changes that Arthur would make
(22:52) foundation models around the world
(25:50) starting Mistral
(26:54) releasing Le Chat
(30:19) over-hyped/under-hyped
(30:32) surprises while building Mistral
(31:55) AI startups Arthur is excited about
(32:19) what application would Arthur build
(33:46) Jacob and Jordan debrief
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
-
Superhuman recently launched AI-powered Summarize and Instant Reply features, and has since processed 4 billion emails. On this week’s episode of Unsupervised Learning, we sat down with CEO and Founder at Superhuman, Rahul Vohra. Rahul shared with us what email will look like in the future, the internal product design decisions in building Summarize and Instant Reply, why he’s bullish on the agentic future, and why and how startups should go after incumbents.
(0:00) intro
(1:20) why email will never die
(10:46) how ChatGBT changed Superhuman
(17:01) making design decisions
(24:34) how Superhuman personalizes email voices
(28:35) choosing which models to use
(31:00) how does cost play into decision-making
(34:10) teaching users how to use AI
(46:27) competing with incumbents
(56:57) how work has evolved
(59:02) how Rahul would redesign Slack / Slack Agent
(1:04:54) Jacob and Pat debrief
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
-
There’s an ongoing debate about where the most value will accrue in AI between incumbents and startups. Of the incumbents, few have shipped product faster than SalesforceAI. Today on Unsupervised Learning we had on Clara Shih, CEO of SalesforceAI and one of Time Magazine’s 100 Most Influential People in AI.
(0:00) intro
(0:50) work practices that will become irrelevant
(1:37) revolutionizing reply recommendations and case summaries
(4:57) newest Salesforce products
(5:53) structuring teams
(7:22) engineering trust into AI products
(11:58) combining in-house models with ChatGBT
(13:33) Gucci’s AI adoption
(16:01) how does Salesforce choose who to share their data with?
(20:29) AI costs
(26:29 creating unique voices for brands
(27:45) AI incumbents vs. startups
(29:54) what Clara would build if she had the time
(32:28) the future of Slack
(35:55) what percent of customer support questions can be answered by AI?
(38:37) over-hyped/under-hyped
(39:32) working with Mark Benioff
(40:46) Jacob and Pat debrief
(44:42) Slack is the perfect interface for generative AI
(46:10) Abridge investment
(48:15) Ideogram investment
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
- Näytä enemmän
