Guido Appenzeller
28 statements across 6 episodes · 10 bullish · 3 bearish · 1 people on the record · first statement Aug 25, 2023 by Guido Appenzeller · across every show →
On the record as a speaker too: Guido Appenzeller's record, appearances and statements → this page counts the times other people say the name.
Everything said about Guido Appenzeller, oldest first
Aug 25, 2023
Appenzeller: $100M annual compute spend justifies building owned data centers
“If you're spending ten million dollars a year, you're probably still under critical, right? If you're spending a hundred million dollars a year on infrastructure, that, that maybe, A reason to look into options for your own dataset.”
Aug 25, 2023
Aug 25, 2023 positive
Aug 25, 2023 negative
Appenzeller: Specialized clouds like CoreWeave beat hyperscalers for AI startups
“The large clouds, in my experience, are not always the best option, right, if you price it out. You know, we've seen that the startups typically are more likely to go with specialized clouds, you know, like CoreWeave or Lambda, right, that are basically specia…”
Aug 25, 2023
Aug 25, 2023 neutral
Appenzeller: AI compute will bifurcate between local and cloud tasks
“There's probably going to be a little bit bifurcation there on quality and parameters, right? You can run things locally but you can probably run them a lot better in the cloud, right? Because you have a much bigger server there. So it probably depends on what…”
Aug 25, 2023
Aug 25, 2023 negative
Sep 1, 2023
Appenzeller: AI startups run lean teams to afford compute capacity
“We've specifically seen that with founders that want to train their own models, right, which is extremely expensive, and you have to spend a large chunk of your funding just on compute capacity, right, and they often run with very small lean teams, right, that…”
Sep 1, 2023 neutral
Appenzeller: AI compute share of startup capital will decline over time
“Over time, I would expect this to normalize a little bit, and it's mostly as you go more from the core technology that you're building in very early days towards more a complete product offering, right, there's just a lot more Boxes to check and, you know, fea…”
Mar 5, 2025 bullish
Appenzeller: All future state-of-the-art AI models will use reasoning techniques
“And I think looking forward, From now on, pretty much any state of the art model will use some of those techniques, and we've seen this already, you know, from models from OpenAI and models from Google that are structurally very, very similar, and this has hug…”
Mar 5, 2025 positive
Mar 5, 2025
Appenzeller: The final training run is a small fraction of total costs
“The final test run is often not the majority of the money that you spend, right? You need many test runs that don't work well. You're highly paid PhDs that, that, that do the do the training probably highly paid. They need sort of infrastructure to experiment …”
Mar 5, 2025 positive
Mar 5, 2025
Mar 5, 2025
Appenzeller: Generating human reasoning traces for AI training would cost $60 million
“You know, for some of the math problems, you definitely want somebody with a graduate degree. If, I mean, we saw that the average answer was 20 pages. How much do I have to pay a math PhD to generate 20 pages of text, right, if this is a I don't know, a hundre…”
May 2, 2025 bullish
May 2, 2025 neutral
May 2, 2025
Appenzeller: AI user interfaces are specializing into interactive copilots and async plugins
“It seems like we're seeing to some degree a specialization of user interfaces in sort of two directions, right? There's, let's say, a cursor or something like that, which really emphasizes the tight loop between the user, the tight feedback loop between the us…”
May 16, 2025 positive
May 16, 2025 positive
Appenzeller: Basic copilots boost enterprise developer productivity by 15 percent
“I think we, if I look at the data we've seen from some of the large financial institutions, they're estimating that the increase in developer productivity from just a vanilla copilot deployment is something like 15%.”
May 16, 2025 bullish
Appenzeller: AI output generation layers will delaminate from reasoning models
“Long-term, I actually wonder if the, like for reasoning model, where a lot of the thinking sort of happens internally, if the model is generating the user facing machine facing output, it's going to be a different model from the model doing the reasoning, if t…”
May 16, 2025 bullish
Appenzeller: Novel coding lacking AI training data is only 0.01% of development
“I think the good news is that is 0.01% of all software development, right, for the, I don't know, you know, 100,000 ERP system implementation or so, right, that we have tons of training data, and I think these tools can be very, very powerful.”
May 16, 2025 neutral
Appenzeller: System architecture will supersede low-level coding as AI advances
“Explaining the problem statement, explain the algorithmic foundations, explaining architecture, and explaining data flows getting more important, and the nitty gritty coding, you know, what's the most clever way to unrule a for loop That's a very specialized, …”
May 24, 2025 negative
Appenzeller: A government-driven Manhattan Project approach to AI strategy will fail
“So I think basically having the government drive all of AI strategy, you know, Manhattan-style project or Apollo project, pick your favorite successful project there, I can't see that working. You probably need a highly dynamic ecosystem of a large number of c…”
May 24, 2025 positive
Appenzeller: AI Data Centers Require Liquid Cooling and Distinct Infrastructure
“The kind of data center you built for a classic CPU centric workload and what you built for, you know, a high density AI data center look very different. You need liquid cooling to the rack. You need very different you know, energy supply.”
May 24, 2025
May 24, 2025 neutral
Appenzeller: Enterprises Prefer Kubernetes Abstractions Over Full Cloud Stacks for AI
“We're seeing more and more enterprises that are actually comfortable with just building on top of a simple Kubernetes abstraction or something. And basically, you know, cherry pick a couple of snowflake or database type services on the side that help them comp…”