Avsnitt
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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
-
Saknas det avsnitt?
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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
-
Last week LangChain announced a $20M Series A led by Sequoia and released the paid version of LangSmith, which has already been used by 1K+ teams and driven 80K signups. On this week’s episode of Unsupervised Learning, we sat down with LangChain Co-Founder and CEO Harrison Chase to talk about the current state of LLM evaluation, observability, and the agent landscape.
(0:00) intro
(1:07) applications of AI in the sports world
(3:26) what does LangChain do?
(7:51) building with LangSmith
(10:00) best AI eval practices
(16:51) to what extent is eval generalizable?
(21:11) the current agent landscape
(29:35) balancing present and future at LangChain
(36:27) using LangServe to deploy LangChain applications
(41:37) more complex chatbots are coming
(45:51) current AI practices that will become obsolete
(48:55) over-hyped/under-hyped
(49:25) bigger surprise in building LangChain
(51:50) how ubiquitous will open-source models be in the future?
(52:43) most exciting AI startups
(56:07) being an AI “celebrity”
(58:09) 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
-
Oscar Health is a $4B public healthcare company, providing healthcare insurance to nearly 1 million members. Oscar is at the forefront of AI adoption, continuously developing new AI use cases in healthcare. On this week’s episode of Unsupervised Learning, we sat down with Oscar Health Co-Founder, former CEO, and now President of Technology Mario Schlosser to talk about where AI will have the biggest impact in healthcare, top AI use cases at Oscar today, AI adoption challenges Oscar is facing, and limitations of GPT-4 in healthcare. Mario also shared his takes on open-source vs. off-the-shelf vs. healthcare-specific LLMs, and why can't we have robot doctors today.
(0:00) intro
(1:26) how will AI change healthcare in the next decade
(9:29) how Oscar uses AI
(19:00) how to build around healthcare requirements
(26:06) when would GPT-4 fail "miserably" and fundamental limitations of LLMs
(36:48) we shouldn’t piss off our smartest robots
(38:35) sharing AI knowledge between companies
(42:10) developing healthcare-specific models
(44:55) hackathons and karaoke nights at Oscar
(49:27) the need for a safety layer in LLMs
(51:53) best commercial opportunities in healthcare
(55:39) will their be AI doctors this decade?
(59:38) over-hyped/under-hyped
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
-
Replit raised nearly $100M at $1.2B valuation last April and powers over 20M developers. On this week’s episode of Unsupervised Learning, we sat down with Replit Founder and CEO Amjad Masad to talk about the future of software development, how Replit is empowering young users, how Replit developed its own models, and the data advantage Replit has. Amjad also shared his takes on why he’s bullish on agents, where the value in AI will most likely accrue and why open-source models might not be truly open today.
(0:00) intro
(0:45) advice for new coders
(6:20) how Replit uses AI
(10:36) AI’s coding capabilities
(15:49) what makes the best data
(20:52) educating new Replit AI users
(23:46) structuring AI teams
(27:02) building an in-house model
(36:54) “the world is gonna get way weirder”
(38:10) Kim and Taylor teaching calculus
(44:19) usage based pricing is going to get more prevalent
(51:05) will Microsoft win it all?
(55:00) Llama and vibe-checking AI models
(57:35) chatbots are overhyped
(58:18) latency matters
(59:50) why Sam Altman is the GOAT
(1:01:16) over 10 years we’ll see companies really shrink in size
(1:03:51) Jacob and Pat debrief
(1:05:27) training coding models on random data
(1:06:36) Amjad’s take on agents
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
-
Intercom is one of the earliest adopters of AI - its AI product Fin has generated over two million answers and been used by thousands of users since it was launched last March. On this week’s episode of Unsupervised Learning, we sat down with Intercom Co-Founder and Chief Strategy Officer Des Traynor to talk about how AI is incorporated into Intercom, structuring its AI team, using RAG vs. fine-tuning techniques, where we are in the AI adoption curve, and his advice for startups building on top of AI.
(0:00) intro
(0:31) Intercom reaction to ChatGBT
(3:18) how AI is incorporated into Intercom products
(6:33) guardrails preventing hallucinations 9:49 exploration versus optimizing cost
(19:00) structuring AI teams
(31:17) fine-tuning for customers vs RAG
(37:03) solving the 'actions' problem
(38:38) lessons learned from transitioning into AI
(44:28) over-hyped/under-hyped
(45:53) companies that have implemented AI well/poorly
(48:27) 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
-
OpenAI's inaugural DevDay sparked excitement in the AI community, with several product releases and ChatGPT hitting the milestone of reaching 100M weekly active users. On this week’s episode of Unsupervised Learning, we sat down with the Head of Developer Relations at OpenAI, Logan Kilpatrick. Logan shared with us how OpenAI prioritizes product builds internally, the interesting use cases he's seen for several OpenAI products, where OpenAI is headed, and what the Gemini release means for the ecosystem.
(0:00) intro
(0:33) how Logan uses ChatGBT
(1:36) underrated OpenAI products
(6:08) when is using GPT-4 necessary?
(7:22) custom GPT models
(9:05) are we at peak need for custom models in 2024?
(11:45) how does OpenAI prioritize products
(13:31) OpenAI’s text-to-speech model
(14:31) benefits of using open-source models
(21:00) what kind of company would Logan start if he left OpenAI?
(23:40) Google Gemini
(24:41) assistants API
(30:00) the need for a text-first AI-assistant experience
(35:18) putting limitations on agents
(42:18) the future of DALL-E and art generation
(48:00) over-hyped/under-hyped
(48:30) rare disappointments for OpenAI
(49:25) surprise successes for OpenAI
(50:03) how has OpenAI’s team developed?
(58:22) debrief with Pat
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
-
Perplexity is a next-gen search tool going after Google, with 1M Android app installs and 1M iOS installs within only 8 months of product launch. On this week’s episode of Unsupervised Learning, we sat down with the CEO and Co-Founder of Perplexity AI, Aravind Srinivas. Aravind shared with us the behind-the-scenes stories of how Perplexity AI was born (37:19), how he thinks about Perplexity being viewed as a "wrapper" (24:01), where search will be in 10 years (23:08), and where Perplexity is headed.
(0:00) intro
(0:48) the simplicity of Perplexity
(5:16) how Perplexity allocates resources
(7:09) don’t waste your time building your own models
(11:39) being a “wrapper” for OpenAI
(14:37) the future of Quora and Wikipedia
(19:38) what does it take to compete with Google
(23:08) what does search look like in 10 years
(24:01) showing users that Perplexity is more than a “wrapper”
(27:28) RAG solutions and solving hallucinations
(30:13) guiding users’ questions
(32:44) discover tab
(35:48) attracting new users vs. pleasing “power users”
(37:19) how Perplexity landed on search
(53:01) should AI be regulated?
(54:56) what other company would Aravind work at
(56:56) OpenAI
(58:42) 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
-
In light of one of the biggest news stories in AI, we’ve put together a special episode to discuss the ramifications of Sam Altmans’ firing from OpenAI. Regardless of what happens between now and when you’re listening to this, the implications of the events that happened over the past few days are certainly worth unpacking.
About our guests:
Alex Konrad, a journalist at Forbes covering Venture Capital and Tech Jason Warner, former CTO at GitHub, partner at Redpoint, and now Founder of AGI start-up Poolside (https://www.poolside.ai/)We go over what the implications are for AI Startups, who came away as the biggest winners, what’s going on behind the scenes and more. Hopefully you enjoy this episode.
With your co-hosts:
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@jordan_segall
- Partner at Redpoint
-
Linus Lee is an AI engineer at Notion, one of the earliest and most effective adopters of AI. In the episode, Linus shares how Notion developed its AI products, including Writer, Autofill, and Q&A, which just launched on Tuesday. It was fascinating to learn how Notion structures its AI team and dogfoods its development process. Linus also explores the hardest to anticipate when going to market with new AI features, and how Notion thinks of its LLM partnerships. Overall, a wide-ranging conversation about the behind-the-scenes stories of one of the most widely used AI tools today.
(0:00) intro
(0:37) T-Swift
(2:07) Notion AI
(9:08) approach to staffing
(16:51) educating users and user behavior
(22:32) challenges in developing Notion Q&A
(30:42) working with Anthropic and Open AI
(35:50) avoiding hallucinations
(36:23) switching AI models
(39:32) iterating on interfaces
(42:03) over-hyped/under-hyped
(48:03) Midjourney
(51:07) Pat and Jacob debrief
With your co-hosts:
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@jordan_segall
- Partner at Redpoint
-
Jacob and Pat sit down with Erik Bernhardsson, the founder of Modal Labs, a data infrastructure company providing GPU compute to data teams. On this episode we discussed Erik’s thoughts on the AI chip market, the most popular GenAI use cases on Modal, and even Oracle Cloud’s resurgence in the AI start-up market.
0:00 intro
0:45 motivation for founding Modal
6:35 advantages that Modal gives developers
9:21 early applications built with Modal
11:58 challenges for AI developers
16:31 GPU access today
20:09 Vector DB companies
24:55 why is cloud adoption so slow?
31:30 Oracle Cloud
39:22 AI music generation
42:05 over-hyped/under-hyped
43:26 what Erik wishes he knew when starting Modal
45:53 episode debrief
With your co-hosts:
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@jordan_segall
- Partner at Redpoint
-
Special Crossover Episode: We're excited to share this conversation from "The Logan Bartlett Show," another Redpoint podcast that focuses on untold stories from tech's inner circle. In the episode, Logan Bartlett interviews Dario Amodei (CEO, Anthropic) on the future of AI.
In the episode, Dario gives detailed predictions on the AI industry for 2024, 2025, and beyond. He discusses his days at OpenAI, leaving to start Anthropic, why he doesn’t like the term AGI, what AI developments he’s most excited about right now, and much more. Sharing here because we believe our AI enthusiasts will find this episode particularly enlightening. Enjoy!(0:00) Intro
(0:40) Joining OpenAI
(13:51) Are scaling and AI safety intertwined?
(19:51) Anthropic Early Days
(23:24) Amazon's Investment in Anthropic
(23:39) FTX investment in Anthropic
(25:10) Anthropic's Business Today
(30:11) Dario's Advice For Builders
(33:14) Should we pause AI progress?
(35:47) Future of AI
(37:15) Dario's Biggest AI Safety Concerns
(44:17) How Anthropic Deals With AI Bias
(48:49) Anthropic's Responsible Scaling Policy
(55:56) Testifying in front of Congress
(58:45) Will AI destroy humanity?
(59:20) GPT3 vs GPT4
(1:01:46) The memification of a CEO
(1:08:50) What are you most surprised by with AI?
(1:16:23) Why don't you like the term AGI?
(1:21:10) 2024 AI Predictions
(1:33:05) Dario's opinion on open-source models
(1:37:23) Probability of AI Catastrophe
(1:40:12) Misuse of AI
(1:44:04) Looking ahead: Dario's optimistic outlook on AI
With your co-hosts:
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@jordan_segall
- Partner at Redpoint
-
Jacob and Pat sit down with Tome Co-Founder and CEO Keith Peiris to discuss Tome’s go-to market strategy, deciphering through the “AI tourists” to identify their ideal customer profile (ICP), and the different hardware cost considerations when reaching enterprise scale.
0:00 intro
1:35 founding Tome
5:05 designing Tome
10:30 how users want to interact with AI
12:26 teaching users how to use Tome
20:13 partnering with model providers vs. building your own
28:43 model evaluation
31:23 building an enterprise product
37:48 thinking about pricing
43:43 Keith’s favorite Tome projects
44:26 over-hyped/under-hyped
With your co-hosts:
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@jordan_segall
- Partner at Redpoint
-
Jacob and Pat sit down with LlamaIndex CEO Jerry Liu to discuss his motivations for building LlamaIndex, thoughts on building enterprise-ready LLM applications and agents, and when fine-tuning makes sense.
0:00 intro
1:02 the evolution of LlamaIndex
3:48 apps being built with LlamaIndex
6:39 making agents more effective
12:58 retrieval augmented generation
16:49 what’s the right level of abstraction for LlamaIndex?
19:42 balancing reasoning and knowledge
30:46 storage for embeddings
36:03 underutilized features of LlamaIndex
40:38 over-hyped/under-hyped
With your co-hosts:
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@jordan_segall
- Partner at Redpoint
-
Jordan and Erica sit down with Andriy Mulyar, Founder & CTO of Nomic AI, and discuss his motivation for creating GPT4ALL, the importance of data-centric AI, the use of LLMs in video games, and which technology companies are well positioned to “win” in the GenAI market long term.
0:00 intro
0:59 getting into AI and meeting Brandon
2:27 starting Nomic
7:43 how people are using Atlas
10:31 hallucinations in LLMs
13:05 gpt4all
17:25 building LLMs into video games
26:31 where does Nomic go from here?
37:39 Apple’s role in the LLM space
38:57 Andriy’s thoughts on AGI
40:41 over-hyped/under-hyped
42:13 AI regulation going forward
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
-
Patrick and Jacob sit down with Alexandru Costin, the VP of Generative AI and Sensei at Adobe, and discuss how Adobe’s early projects with generative AI in 2019 helped them move quickly upon the release of LLMs and diffusion models. Before leading Adobe’s generative AI efforts he founded InterAKT, a web development company, and led Adobe Romania for 10 years.
00:00 intro
01:44 Adobe Romania and background
02:26 AI projects at Adobe
10:03 incorporating AI into existing products
16:34 educating Adobe’s user base
25:13 avoiding copyright issues with Ai-generated content
32:12 using customer feedback
40:30 what is the right way to structure an AI team?
45:11 pricing AI products
48:00 the future of Adobe
With your co-hosts:
@jasoncwarner
- Former CTO GitHub, VP Eng Heroku & Canonical
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@jordan_segall
- Partner at Redpoint
-
Jacob sits down with Alex to discuss how Snorkel grew from an open-source project in a Stanford AI lab to a $1B company. Alex shares his thoughts on why data development is at the heart of AI development, why enterprises are slow to deploy LLM applications, and the importance of academia in the future of AI development.
00:00 intro
01:03 moving from academia to Snorkel
05:08 the evolution of Snorkel
18:33 improving pre-training
21:37 avoiding hallucinations and other errors
33:00 barriers to enterprises deploying AI
36:59 the Snorkel footprint of the future
39:37 the role of academia in AI development
42:57 over-hyped/under-hyped
44:50 how should AI regulation change going forward?
With your co-hosts:
@jasoncwarner
- Former CTO GitHub, VP Eng Heroku & Canonical
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@jordan_segall
- Partner at Redpoint
-
On today’s episode we talk with Jeff Huber, the CEO and Co-founder of Chroma. We talk about what sets Chroma apart from its competitors, new developments in AI technology, and advice for listeners who want to get started in AI.
0:00 intro
1:02 starting chroma
6:08 vector databases
10:03 interesting use cases for vector databases
13:14 what sets chroma apart?
23:00 unresolved questions in LLMs
32:45 multiple agents vs. one agent to rule them all
34:50 chroma’s future
38:00 embedding models
43:00 over-hyped/under-hyped
44:30 AI regulation
48:42 is it too late to get into AI?
With your co-hosts:
@jasoncwarner
- Former CTO GitHub, VP Eng Heroku & Canonical
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@jordan_segall
- Partner at Redpoint
- Visa fler
