Alexandr Wang: Building Scale AI, Transforming Work with Agents & Competing With China
Alexandr Wang started Scale AI to help machine learning teams label data faster.It started as a simple API for human labor, but behind the scenes, he was tackling a much bigger problem: how to turn messy, real-world data into something AI could learn from. Today, that early idea powers a multi-hundred-million-dollar engine behind America's AI infrastructure—fueling everything from Fortune 500 workflows to real-time military planning. Just last week, Meta agreed to invest over $14 billion in Scale AI, valuing the company at $29 billion.Alexandr joined us on the Lightcone to share how Scale AI evolved from a scrappy YC startup into the backbone of some of the world's most advanced AI systems, how he thinks about competition with Chinese AI labs, and what it takes to build infrastructure that shapes the frontier.
AI Predictions for 2025: Geopolitics, Agents, and Data Scaling — With Alexandr Wang
Alexandr Wang is the CEO and co-founder of Scale AI. He joins Big Technology Podcast to share his predictions for AI in 2025, including insights about emerging geopolitical drama in the AI field, AI agents for consumers, why data may matter more than computing power, and how militaries worldwide are preparing to deploy AI in warfare. We also cover quantum computing and why Wang believes we're approaching the current limits of what massive GPU clusters can achieve. Hit play for a mind-expanding conversation about where artificial intelligence is headed and how it will transform our world in the coming year.
---
Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice.
For weekly updates on the show, sign up for the pod newsletter on LinkedIn: https://www.linkedin.com/newsletters/6901970121829801984/
Want a discount for Big Technology on Substack? Here’s 40% off for the first year: https://tinyurl.com/bigtechnology
Questions? Feedback? Write to: bigtechnologypodcast@gmail.com
Learn more about your ad choices. Visit megaphone.fm/adchoices
The Best of 2024 (so far) with Sarah Guo and Elad Gil
Believe or not, we’re almost halfway through 2024. Sarah and Elad have spent the first of this year talking with some of the most innovative minds in the AI industry, so we’re taking a look at some of our favorite No Priors conversations so far featuring Dylan Field (Figma); Emily Glassberg-Sands (Stripe); Brett Adcock (Figure AI); Aditya Ramesh, Tim Brooks and Bill Peebles (OpenAI’s Sora Team); Scott Wu (Cognition); and Alexandr Wang (Scale).
Watch or listen to the full episodes here:
Build AI products at on-AI companies with Emily Glassberg Sands from Stripe
Designing the Future: Dylan Field on AI, Collaboration, and Independence
The argument for humanoid robots with Brett Adcock from Figure
OpenAI’s Sora team thinks we’ve only seen the "GPT-1 of video models"
Cognition’s Scott Wu on how Devin, the AI software engineer, will work for you
The Data Foundry for AI with Alexandr Wang from Scale
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil
Show Notes:
(0:00) Introduction
(0:46) Emily Glassberg Sands on the Future of AI and Fintech
(4:23 Dylan Field on AI and Human Creative Potential
(9:03) Brett Adcock on Running Figure AI’s Hardware and Software Processes
(12:43) OpenAI’s Sora Team on Artists’ Creative Experiences with their Model
(17:43) Scott Wu Gives Advice for Human Engineers Co-Working with AI
(21:06) Alexandr Wang on How Quality Data Builds Confidence in AI Systems
The Data Foundry for AI with Alexandr Wang from Scale
Alexandr Wang was 19 when he realized that gathering data will be crucial as AI becomes more prevalent, so he dropped out of MIT and started Scale AI. This week on No Priors, Alexandr joins Sarah and Elad to discuss how Scale is providing infrastructure and building a robust data foundry that is crucial to the future of AI. While the company started working with autonomous vehicles, they’ve expanded by partnering with research labs and even the U.S. government.
In this episode, they get into the importance of data quality in building trust in AI systems and a possible future where we can build better self-improvement loops, AI in the enterprise, and where human and AI intelligence will work together to produce better outcomes.
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @alexandr_wang
(0:00) Introduction
(3:01) Data infrastructure for autonomous vehicles
(5:51) Data abundance and organization
(12:06) Data quality and collection
(15:34) The role of human expertise
(20:18) Building trust in AI systems
(23:28) Evaluating AI models
(29:59) AI and government contracts
(32:21) Multi-modality and scaling challenges
How AI adds to human potential: (LIVE) with Scale AI’s Alex Wang and Intel’s Lama Nachman
Generative AI is advancing at a breakneck pace, prompting questions on risk and opportunity, from content creation to personal data management. In a special live recording, we delve into the ways AI can augment human work and spur innovation, instead of simply using AI to cut costs or replace jobs. Host Jeff Berman joined a seasoned AI researcher, Intel's Lama Nachman, and a young start-up founder, Scale AI's Alexandr Wang, on stage at the Intel Vision event in April 2024. They explore topics like AI’s disruption of creative industries, mitigating its biggest risks (like deepfakes), and why human critical thinking will be even more vital as AI technology spreads.
Read a transcript of this episode: https://mastersofscale.com
Subscribe to the Masters of Scale weekly newsletter: https://mastersofscale.com/subscribe
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
EP 85: Alexandr Wang (CEO, ScaleAI): The 26-Year-Old Powering the AI Industry
Alexandr Wang is a Co-Founder and CEO of Scale AI and one of the youngest self-made billionaires. At 19, he dropped out of college to found Scale AI and has since scaled it into one of the most important companies in the world of artificial intelligence today ($7B). In this episode, Alexandr shares the insights that are driving Scale AI, predictions on the future of AI, and other thoughtful tech and geopolitical takes.
(0:00) Intro
(1:01) Why data isn't the new oil
(2:42) Data is the new code
(7:47) Outsourcing problems
(10:34) Reinforcement learning and generative AI
(16:52) How execs and founders should think about AI
(18:59) AI VS computers, the internet, mobile, and other tech trends
(22:38) The next two to three years of AI will define decades
(26:05) Atomic bomb analogy
(28:30) Alexandr's biggest AI worries
(31:17) Undercover AI predictions
(35:55) Three components of model development
(39:57) Under-appreciating our reliance on Taiwan
(41:56) Democratization of AI
(43:54) The Turing Trap
(45:52) Misconceptions About AI
(47:29) Geopolitics and Artificial Intelligence
(53:00) The UK AI Summit
(54:45) What role does the government play in regulating AI?
(1:14:05) The risks of hiring from big brands
(1:19:36) The business of Scale AI
(1:22:25) Influence of playing violin
(1:24:19) Alexandr's childhood with physicist parents
(1:27:33) Being weird means being interesting
(1:29:09) The future of AI
Mixed and edited: Justin Hrabovsky
Produced: Rashad Assir
Executive Producer: Josh Machiz
Music: Griff Lawson
🎙 Listen to the show
Apple Podcasts: https://podcasts.apple.com/us/podcast/the-logan-bartlett-show/id1606770839
Spotify: https://open.spotify.com/show/5WqBqDb4br3LlyVrdqOYYb?si=3076e6c1b5c94d63&nd=1
Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zaW1wbGVjYXN0LmNvbS9zb0hJZkhWbg
🎥 Subscribe on YouTube: https://www.youtube.com/channel/UCugS0jD5IAdoqzjaNYzns7w?sub_confirmation=1
Follow on Socials
📸 Instagram - https://www.instagram.com/theloganbartlettshow
🐦 Twitter - https://twitter.com/loganbartshow
🎬 Clips on TikTok - https://www.tiktok.com/@theloganbartlettshow
About the Show
Logan Bartlett is a Software Investor at Redpoint Ventures - a Silicon Valley-based VC with $6B AUM and investments in Snowflake, DraftKings, Twilio, and Netflix. In each episode, Logan goes behind the scenes with world-class entrepreneurs and investors. If you're interested in the real inside baseball of tech, entrepreneurship, and start-up investing, tune in every Friday for new episodes.
Executive Producer: Rashad Assir
Producer: Leah Clapper
Mixing and editing: Justin Hrabovsky
Check out Unsupervised Learning, Redpoint's AI Podcast: https://www.youtube.com/@UCUl-s_Vp-Kkk_XVyDylNwLA
🎥 Subscribe on YouTube: https://www.youtube.com/channel/UCugS0jD5IAdoqzjaNYzns7w?sub_confirmation=1
Follow on Socials
📸 Instagram - https://www.instagram.com/theloganbartlettshow
📱 X - https://twitter.com/loganbartshow
🎬 Clips on TikTok - https://www.tiktok.com/@theloganbartlettshow
About the Show
Logan Bartlett is a Software Investor at Redpoint Ventures - a Silicon Valley-based VC with $6B AUM and investments in Snowflake, DraftKings, Twilio, and Netflix. In each episode of The Logan Bartlett Show, we sit down with the people behind today’s most important startups and extract the tactics, lessons, and frameworks they’ve learned the hard way. Conversations span hiring to GTM, product, growth, fundraising and everything in between - collectively forming the ultimate playbook to make you a better CEO, investor or board member.
Tap follow and enable notifications to stay ahead of the game.
War, AI and the new global arms race | Alexandr Wang
Lethal drones with facial recognition, armed robots, autonomous fighter jets: we're at the dawn of a new age of AI-powered warfare, says technologist Alexandr Wang. He explores why data will be the secret weapon in this uncharted landscape and emphasizes the need to consider national security when developing new tech -- or potentially face all-out AI warfare.
Hosted on Acast. See acast.com/privacy for more information.
Alexandr Wang of ScaleAI: in AI your data writes the program
Alexandr Wang from Scale AI joins Host Pieter Abbeel to discuss data, labeling, foundation models, LLMs, truthfulness, reinforcement learning from human feedback (RLHF), and AI for defense.
Subscribe to the Robot Brains Podcast today | Visit therobotbrains.ai and follow us on YouTube at TheRobotBrainsPodcast and Twitter @therobotbrains.
Hosted on Acast. See acast.com/privacy for more information.
Alexandr Wang - A Primer on AI - [Invest Like the Best, EP. 272]
My guest today is Alexandr Wang, the CEO and founder of Scale AI. Alexandr founded Scale in 2016, having been inspired to accelerate the development of AI through his work at Quora and his studies at MIT. Specifically, Alexandr realized there was a lack of infrastructure solutions for producing high quality data, the lifeblood for AI models. Today, Scale provides data solutions to leading AI teams at Meta, Microsoft, OpenAI, Flexport, the US Air Force, and many others. This time last year, the business was valued at over $7 billion.
Our conversation is a primer on AI. We discuss the building blocks beneath successful artificial intelligence, AI’s role in both the public and private sector, and why data is the new code. We also cover the similarities and differences between AI and software from an investing perspective and what inspiration Scale takes from AWS. Please enjoy my great discussion with Alexandr Wang.
For the full show notes, transcript, and links to mentioned content, check out the episode page here.
-----
This episode is brought to you by Canalyst. Canalyst is the leading destination for public company data and analysis. If you're a professional equity investor and haven't talked to Canalyst recently, you should give them a shout. Learn more and try Canalyst for yourself at canalyst.com/Patrick.
-----
This episode is brought to you by Lemon.io. The team at Lemon.io has built a network of Eastern European developers ready to pair with fast-growing startups. We have faced challenges hiring engineering talent for various projects and Lemon.io offered developers for one-off projects, developers for full start to finish product development, or developers that could be add-ons to the existing team. Check out lemon.io/patrick to learn more.
-----
Invest Like the Best is a property of Colossus, LLC. For more episodes of Invest Like the Best, visit joincolossus.com/episodes.
Past guests include Tobi Lutke, Kevin Systrom, Mike Krieger, John Collison, Kat Cole, Marc Andreessen, Matthew Ball, Bill Gurley, Anu Hariharan, Ben Thompson, and many more.
Stay up to date on all our podcasts by signing up to Colossus Weekly, our quick dive every Sunday highlighting the top business and investing concepts from our podcasts and the best of what we read that week. Sign up here.
Follow us on Twitter: @patrick_oshag | @JoinColossus
Show Notes
[00:03:04] - [First question] - The role that AI and data play in geopolitics and foreign policy
[00:07:21] - The end state of a digital arms race akin to nuclear weapons
[00:08:53] - Current state of things writ large and how the public and private sectors differ
[00:11:33] - The flow and importance of talent when scaling AI and whether it’s more important than software
[00:14:29] - His thoughts on how to communicate categories of what AI can do well and what is still a ways out
[00:20:18] - The process of creating an AI model and the stages of development
[00:27:16] - Principles of building a great engine for gathering data
[00:29:04] - The state of technology around annotating data writ large
[00:31:31] - What Scale does as a business and their product lineup
[00:35:08] - The Storage and Compute equivalents in the AI space
[00:37:08] - How Scale fills the gap in producing better and cleaner data
[00:39:52] - What Scale will look like in 10 years if their vision is fully realized
[00:41:11] - Where AI is in the S curve of acceleration and where AI and software intersect
[00:44:32] - Questions to ask about how to incorporate AI and data sets in your business
[00:46:23] - What worries him about the proliferation of technology that makes AI more accessible to the masses
[00:48:27] - The most interesting AI model he’s ever come across and collapsing the friction between human intent and programmable outcomes
[00:51:51] - The kindest thing anyone has ever done for him
E1005: Scale AI CEO & Co-founder Alexandr Wang creates training data for all AI applications to improve machine learning, shares insights on the future of autonomous vehicles, China’s AI advantages over US, importance of humans focusing on higher-value work & next major trends in AI
1:04 Jason intros Alexandr
2:19 Alexandr shares his personal startup history
5:17 How & why did Scale start?
8:26 What is the best example of Scale in practice? What problem are they solving?
10:44 Video demo of Scale's platform
15:34 Acquiring the scale.com domain name & insights on the unique spelling of Alexandr
17:31 How does Scale deal with data-sharing between customers?
21:34 LIDAR vs. non-LIDAR... or both?
32:29 When will we have capable self-driving vehicles from Palo Alto to San Francisco? Over/under 2030? How will gov't regulations affect self-driving?
36:03 China vs. US in the race of self-driving
41:22 Explainability in ML
47:26 Does it matter that we sometimes don't know the answer to ML systems?
51:39 Should explainability have to be proven in ML?
55:13 How should inherently biased data-sets (like US justice system) be handled via ML?
1:00:00 Importance of focusing on higher-value work
1:02:41 Are dangers of AI overblown?
1:08:50 Will "General AI" happen in our lifetime?
1:12:26 What's the next major AI trend after self-driving?
1:23:46 Does Alexandr remember a time before the Internet?
1:26:35 Jason plays "good tweet/bad tweet" with Alexandr
20VC: Scale Founder Alex Wang on How To Hire Incredible Talent Before You Are A Hot Company, Why Beating Competition Is Not As Clear Cut As Investors Believe & Why AI Is Under-Hyped Today In Terms of Total Impact
Alex Wang is the Founder & CEO @ Scale, the data platform for AI providing high-quality training and validation data for AI applications. To date, they have raised over $123m in financing from some of the best investors in the business including Founders Fund, Index Ventures, Thrive, Spark and Coatue and then also some of the world's best operators and founders of Dropbox, Instagram, Quora, Github and Twitch to name a few. Prior to founding Scale, Alexandr was a Tech Lead at Quora, directly responsible for all speed projects and before that a software engineer at Addepar responsible for building and maintaining financial models.
In Today's Episode You Will Learn:
1.) How Alex made his way from growing up in Los Alamos to being one of the hottest founders in the valley with Scale's new round giving them a unicorn valuation? How did growing up outside the ether of the valley shape Alex's operating mindset today?
2.) Why does Alex believe that AI is under-hyped relative to the state of technology today? Would Alex agree that most projects claiming to be AI are merely rebrandings from actuarial science, data science etc etc? What questions does Alex ask to determine true AI or BS?
3.) How does Alex think about how AI can deal better with ambiguity of data? What other core areas would Alex like to see meaningful step-function improvements in? How does Alex think about the value of data-set size? How does he think about the utility value of data reducing with every incremental data point? How does Alex think about the rise of synthetic data? How does this change the landscape?
4.) What are Alex's biggest lessons on what it takes to hire incredible people before you are a hot company? How does Alex determine whether someone has the right risk profile and desire to work in a startup? What questions reveal that? Where does Alex believe that many go wrong in the early days of hiring? What would he do differently now?
5.) For the $100m Series C, how did the round come together? What did the process look like? How did this round compare to the other rounds? How does Alex think about and approach the element of investor selection? How can founders build relationships with investors in these hyper-compressed fundraising timelines? What have been Alex's biggest lessons when it comes to CEO growth and then also board management?
Items Mentioned In Today's Show:
Alex's Fave Book: 7 Powers: The Foundations of Business Strategy
As always you can follow Harry, The Twenty Minute VC and Alex on Twitter here!
Likewise, you can follow Harry on Instagram here for mojito madness and all things 20VC.
SaaStr 227: Why Deal Size In The Early Days Does Not Matter, Why TAM In The Traditional Sense Barely Matters & Why You Have To Invest In Customer Success Before You Think You Need It with Alexandr Wang, Founder & CEO @ Scale
Alexandr Wang is the Founder & CEO @ Scale, the startup providing high quality training and validation data for AI applications. To date, Alexandr has raised over $23m with Scale from some of the best in the business including Index, Accel, Y Combinator, Dropbox's Drew Houston, Justin Kan, Thumbtack's Jonathan Swanson and more. Prior to founding Scale, Alexandr was a Tech Lead at Quora, directly responsible for all speed projects and before that a software engineer at Addepar responsible for building and maintaining financial models.
In Today's Episode We Discuss:
How did Alex make his way into the world of SaaS and come to found Scale? What were some of his biggest takeaways from seeing the first hand scaling of Quora and Addepar?
Why does Alex take the contrarian view that "TAM in the traditional sense barely matter"? What two characteristics of the market should founders really look to examine? How does Alex approach the element of market sizing? Does he prefer top down or bottoms up and why?
Why does Alex believe that you must invest in customer success before you think you need it? What were the benefits for Alex of investing early in customer success? Why does CS over sales ultimately drive the growth of your company? How does one know when is the right time to hire their first in customer success? What is the ideal profile of this candidate?
How does Alex think about the integration of customer success and product teams? Why is it crucial from the product perspective that founders pick their first customers well? How can your customers drive your product decisions? How can one ensure to be customer informed and not customer driven?
Why does Alex believe that in the early days it is not important to focus on the size of the deals you are signing? What should founders be focusing on with these early customers instead? When is the right time to flip the switch and opt for value extraction as a more primary objective? How does Alex respond to the fact that VCs often look at these first customer deals as an indication of the size of the pain point you are solving?
60 Second SaaStr:
What does Alex know now that he wishes he had known in the beginning?
What does Alex believe is the hardest role to hire for today?
Who does Alex think is crushing it in the world of SaaS today?
Read the full transcript on our blog.
If you would like to find out more about the show and the guests presented, you can follow us on Twitter here:
Jason Lemkin
Harry Stebbings
SaaStr
Alexandr Wang
.jpg?width=400){kind=small}
