a16z | Why Human Data is Key to AI: Alexandr Wang from Scale AI @a16z | Uploaded September 2024 | Updated October 2024, 7 hours ago.
In this conversation with a16z general partner David George, Scale AI founder and CEO Alexandr Wang discusses the three pillars of AI—models, compute, and data—and how creating abundant data is core to the evolution of gen AI. With Scale’s work across enterprise, automotive, and the public sector, Alex is also building the critical infrastructure that will allow any organization to use their proprietary data to build bespoke gen AI applications. In addition to talking about frontier data, Alex also shares his learnings from the growth of Scale, his approach to leadership, and what he thinks growth-stage founder/CEOs tend to get wrong about hiring.
Read more, including a full transcript, here: a16z.com/frontier-data-foundries-alex-wang-scale-ai
Timestamps:
[00:00:58] How frontier data will change gen AI
[00:08:47] Are big tech companies over-investing in AI?
[00:14:39] Where the best AI businesses will thrive
[00:17:05] How enterprise businesses are approaching AI adoption
[00:19:50] What does the next phase of gen AI products look like?
[00:23:23] Alex's approach to scaling Scale
[00:25:36] The founder fallacy
[00:30:12] MEI and how Alex views talent acquisition
In our conversation series AI Revolution, we ask industry leaders how they’re harnessing the power of generative AI and steering their companies through the next platform shift. Find more content from our AI Revolution series on a16z.com/AIRevolution.
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
In this conversation with a16z general partner David George, Scale AI founder and CEO Alexandr Wang discusses the three pillars of AI—models, compute, and data—and how creating abundant data is core to the evolution of gen AI. With Scale’s work across enterprise, automotive, and the public sector, Alex is also building the critical infrastructure that will allow any organization to use their proprietary data to build bespoke gen AI applications. In addition to talking about frontier data, Alex also shares his learnings from the growth of Scale, his approach to leadership, and what he thinks growth-stage founder/CEOs tend to get wrong about hiring.
Read more, including a full transcript, here: a16z.com/frontier-data-foundries-alex-wang-scale-ai
Timestamps:
[00:00:58] How frontier data will change gen AI
[00:08:47] Are big tech companies over-investing in AI?
[00:14:39] Where the best AI businesses will thrive
[00:17:05] How enterprise businesses are approaching AI adoption
[00:19:50] What does the next phase of gen AI products look like?
[00:23:23] Alex's approach to scaling Scale
[00:25:36] The founder fallacy
[00:30:12] MEI and how Alex views talent acquisition
In our conversation series AI Revolution, we ask industry leaders how they’re harnessing the power of generative AI and steering their companies through the next platform shift. Find more content from our AI Revolution series on a16z.com/AIRevolution.
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
