Mike Krieger
25 statements across 2 episodes · 10 bullish · 6 bearish · 2 people on the record · first statement Feb 22, 2023 by Kevin Systrom · said 18 times in 11 episodes since 2018 · across every show →
On the record as a speaker too: Mike Krieger's record, appearances and statements → this page counts the times other people say the name.
Mentions by year
brought up most by Harry Stebbings (6), Adam Mosseri (5), Gina Gotthilf (3), Cliff Weitzman (2), Kevin Weil (1)
tap a year for its mentions
2026 3 mentions in 2 episodes 2 per episode
2025 1 mention in 1 episode
2023 9 mentions in 3 episodes 3 per episode
- Adam Mosseri: Why Video Is Bad For Business; Does Feed Matter Anymore? | E1039 · 20VC with Harry Stebbings
- Gina Gotthilf: Lessons Scaling Duolingo from 3-200M Users; How to Master PR and Comms | E1028 · 20VC with Harry Stebbings
- David Tisch: The 3 Most Important Variables When Raising Your Seed Round | 20VC #983 · 20VC with Harry Stebbings
- every mention in 2023, scene by scene →
2022 2 mentions in 2 episodes 1 per episode
2021 2 mentions in 2 episodes 1 per episode
- 20Growth: The Biggest Growth Lessons from Leading Teams at Instagram & Instacart, How To Structure The Hiring Process for Growth Teams, How To Onboard Growth Reps Efficiently and The Relationship Between Growth and The Rest of the Org with Bangaly Kaba, H
- 20VC: Evernote & mmhmm Founder Phil Libin on Why We are Beginning a Multi-Trillion Dollar Restructuring of the World, Why Shortcuts are the Biggest Mistakes Startups Make & The Future of Video and The Unbundling of Zoom
- every mention in 2021, scene by scene →
Everything said about Mike Krieger, oldest first
Feb 22, 2023
Feb 22, 2023 negative
Feb 22, 2023 neutral
Feb 22, 2023
Systrom: Founders must rely on dashboards over gut feelings during volatility
“Just trust the instruments. And like, my god, we have instruments, dashboards, et cetera, just trust the instruments. Forget about what people are saying, forget about what issue you had yesterday with the server, trust the instruments. And it doesn't make it …”
Mar 3, 2025 positive
Krieger: Top AI models will require both human and synthetic data
“So I think it absolutely has to be a mix. And I think the best models will come from that combination of great, like for code it's, you know, being, having good foundational understanding of code and good examples, but then also being able to explore a really …”
Mar 3, 2025 negative
Mar 3, 2025 negative
Mar 3, 2025 positive
Krieger: Internal dogfooding of Claude Code directly improved Claude 3.7 Sonnet
“As a really, you know, specific example with cloud code within, you know, a week of it being deployed internally, we had found a way in which one of the sort of tools that it has access to the model wasn't using as well as it could have, and that made its way …”
Mar 3, 2025
Krieger: Creating multi-step task environments is the main AI blocker
“Figuring out how we better either break that down into component parts, which is probably part of the story, but also think about it holistically is the biggest blocker to at least one slice of progress, which is how do models go from being extremely good at e…”
Mar 3, 2025 neutral
Mar 3, 2025 positive
Krieger: Application startups can iterate faster than major AI labs
“Building applications on top of these models becomes, it is a lot easier, and you can go from zero to one, and you can be more nimble than even these labs that are gonna all have, like, you know, tens or hundreds of millions of users, and you have to move slow…”
Mar 3, 2025 neutral
Mar 3, 2025 positive
Mar 3, 2025 positive
Krieger: Software engineers will become AI delegators within three years
“How do we evolve from being mostly code writers to mostly Delegators to the models and code reviewers. That's what I think the work looks like three years from now. It's coming up with the right ideas, doing the right user interaction design, figuring out a de…”
Mar 3, 2025 positive
Mar 3, 2025
Mar 3, 2025 negative
Mike Krieger: AI Model Privacy Discernment Is Underappreciated and Under-Researched
“And I think models, this is very underappreciated and probably under-researched as well from like a model capabilities perspective because models fundamentally want to be helpful. And that is not always what you want them to be. And there's a safety case for t…”
Mar 3, 2025 positive
Krieger: AI Labs Use Internal Distillation to Reduce Latency and Costs
“Even, like, let's take within the labs, like, I assume every single one of the labs is using, like, even within themselves, like, it is very valuable to be able to take, you know, the knowledge of your highest-end model and then be able to make it higher, you …”
Mar 3, 2025
Krieger: AI product design must build for model capabilities 3 months out
“The very thing about AI and product design is you have to dance this very delicate dance of showing the future and dreaming up what the models are currently capable at their edges, you know, cause you want to design for where they'll be, gosh, three months fro…”
Mar 3, 2025 positive
Krieger: AI breakthroughs benefit pre-existing builders over new entrants
“Often the companies that do benefit from those model generation shifts are not the ones that suddenly start that day. Like, gosh, you know, it sounds like cloud three, seven Sonic can do that. It's the ones that have been beating against the wall.”
Mar 3, 2025 positive
Mar 3, 2025 negative
Krieger: Nations Should Not Distill AI Models From Other Countries
“I think the places where this gets interesting are, one, do we want any nation to be able to be able to distill models from any other ones? Like, My personal answer is no. I think that there's value in like, even like as AI gains and capabilities being really …”
Mar 3, 2025 negative
Mar 3, 2025 positive
Krieger: AI Startups Need Domain Knowledge and Proprietary Data for Long-Term Value
“My sense of where it ends up being most valuable to exist is places where you have some differentiated go to market, some differentiated knowledge of some particular industry or some special data that only you have access to ideally two or even three of those …”
Mar 3, 2025
Krieger: AI customers won't switch models overnight due to custom integrations
“Over time, you start learning that, people don't just deploy models. They're doing like fine tunes or they're deploying models. Plus they've done a lot of really bespoke work to make that model be great for that use case. It's not a thing that's going to switc…”