Guido Appenzeller
Partner, a16z. On 1 show, 11 appearances. The Shows tab opens the full record on each.
1shows
11appearances
65statements
9resolved
8supported
0contradicted
89%fully supported
Everything Guido Appenzeller said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Appenzeller: Intel-Nvidia partnership means AMD is 'fucked'
“I think AMD is fucked, right? I mean, they're, you're just, If your two arch nemesis suddenly team up, that's the worst possible news you can have, right? They were already struggling, right? Their cards are good, their software stack is not, right? They were …”
Appenzeller: Capital moats in AI are shallow speed bumps
“If that assumption is true, I think this means that the moat that's created by these large capital investments is actually not particularly deep, right? It's more of a speed bump than Then, you know, something that prevents new entrants.”
Appenzeller: Intel lacks competitive AI chips and its Gaudi effort is done
“They can't, they don't have anything competitive, right? There was the Gaudi effort that's more or less done, right? There was the internal graphics chips, which never competed really at the high end, right?”
Appenzeller: Intel's customer concentration allowed hyperscalers to push down prices
“One of the biggest problems we had was that our customer base sucked, right? I mean, we were selling to, most of the chips went to the large hyperscalers, you know, which they're way too concentrated, and they build their own chips, and so you can push down yo…”
Appenzeller: High compute costs will force AI into usage-based pricing
“It'll push more and more to, I think, just usage based pricing, right? I think if you have a, if you have an underlying commodity that you're reselling to some degree that has, that is that large a part of your cost of goods, right? You need to go to usage bas…”
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.”
Appenzeller: Guaranteeing LLMs never produce forbidden output is an unsolvable problem
“You're trying to have an LM that is very helpful and never even implicitly gives investment advice. That's sort of an unsolvable problem, right? You can get better and better and better, but you can never completely rule it out. And you can add a second LM tha…”
Appenzeller: Natural language prompts are the narrow waist abstraction of AI
“I think we have the waste, the narrow waste. I think it's the prompt.”
Appenzeller: AI will enable one worker to replace two, rather than direct human elimination
“I mean, I think in few cases, humans will get replaced by AI. In most cases, you know, two humans will get replaced, one human that is more, by one human that's more productive with AI.”
Appenzeller: AI model training costs will plateau as human data runs out
“Expectation at the moment is that the cost for training these models, you know, may actually sort of top out or even go down a little bit, you know, as the chips get faster, but we don't discover new training material as quickly.”
Appenzeller: Well-funded startups will drive future LLM innovation
“Today, training a large language model is something that is definitely within reach for a well-funded startup, right? So, and for that reason, we expect to see more innovation in that area in the future.”
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.”
Appenzeller: Moore's law is still alive as of 2023
“Moore's law is actually still, as of today, alive and kicking, right?”
Appenzeller: Intel-Nvidia alliance weakens Arm's core value proposition
“I think ARM is a little bit screwed as well, right? Because they are, their biggest selling point was sort of like, look, we can partner with everybody that doesn't want to partner with Intel.”
Appenzeller: Data centers are today's equivalent of Industrial Revolution oil
“If it was the Industrial Revolution, having oil was important, and now having data centers. It's important.”
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…”
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%.”
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, …”
Appenzeller: Formal programming languages will not be replaced by AI
“I think formal languages won't go away because ultimately they seem complicated, but I think effectively a formal language is often the simplest type representation you can find to specify intent, right?”
Appenzeller: Creating specs first yields best results in AI legacy code migrations
“The most efficient way for them is to actually go first and try to create a spec, use the AI to create a spec from that code, right? And once they have the spec, then to re-implement the spec.”
Appenzeller: Building AI agents architecturally mirrors traditional SaaS software
“And I personally think that architecturally There really is no difference between your typical SaaS software today and Agent in terms of how you build it, right?”
Appenzeller: Consumer websites are deploying anti-agent CAPTCHAs against AI
“All the consumer sites are starting with more and more complex anti-agent captures trying to keep out their agents because they only want the humans that have attention to come to those sites.”
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…”
Appenzeller: Small distilled models use reasoning to overcome limited memory capacity
“On the right side, we have a distilled version of DeepSeq R-one. So this is a very, very small model. It can't actually answer this directly from memory, but what it does, it starts reasoning. And if you read the text, right, it really starts to hustle. It's t…”
One line per show, most statements first. The link opens Guido's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
 a16zLEDGER | Partner, a16z | 11 | 65 | 89% 8/9 | full record on the a16z Podcast → |