Aug 7, 2025 · 45m · no-priors

No Priors Ep. 126 | With Cloudfare CEO Matthew Prince

Matthew Prince · 35m spoken Sarah Guo · 4m spoken Elad Gil · 3m spoken
0:00 / 0:00
▶ Watch on YouTube →

gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

Cloudflare CEO Matthew Prince explains how generative AI is dismantling traditional web economics, advocating for new crawler standards, dynamic publisher revenue-sharing, and distributed edge infrastructure to power autonomous AI agents.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The hosts hold 16.9% of the talking time here. How this is scored →

The hosts as informed peer 5.8 Guest teaching 5.8 Guest disagreement 2.9 The hosts pushing back 3.1
05100:0015:0030:0045:000:37–3:19 · The hosts as informed peer 4/10 Founding Cloudflare and Building Beyond the Traditional CDN Sarah introduces Cloudflare's scale and describes them as the largest CDN. Matthew politely corrects the framing, explaining that Cloudflare was built as a cloud security firewall rather than a traditional CDN.3:19–7:35 · The hosts as informed peer 5/10 The Demise of Search and Shifting Web Economics Sarah and Elad query the shift from search to agentic AI interfaces. Matthew provides concrete empirical figures showing how much harder it has become for creators to get referral clicks from Google, OpenAI, and Anthropic.7:36–13:05 · The hosts as informed peer 6/10 Copyright Limitations and Scarcity via Content Independence Matthew breaks down why relying on copyright law fails content creators due to fair-use protections on derivative works, outlining Cloudflare's crawler-blocking initiative. Elad draws an apt technical parallel to robots.txt evolution.13:05–18:03 · The hosts as informed peer 6/10 The Swiss Cheese Metaphor and Knowledge-Based Incentives Matthew uses a Swiss cheese metaphor to explain how AI models prune redundant data and need unique knowledge. Elad pushes back by comparing this to existing data labeling companies like Scale and Mercor, which Matthew distinguishes using Spotify's demand-fill model.18:03–22:32 · The hosts as informed peer 7/10 Future Publisher Monetization and Avoiding Monolithic AI Silos Elad pushes Matthew on whether human content reaches a ceiling by citing Google's MedPalm II surpassing human doctors, while Sarah challenges AI lab willingness to pay compared to open-web ad scale. Matthew firmly rejects the content ceiling premise and critiques naive lump-sum licensing deals.22:32–27:21 · The hosts as informed peer 5/10 Edge Inference Architecture and Support for Open Models The hosts inquire about edge inference architecture and open versus closed models. Matthew explains Cloudflare's edge GPU deployment and dismisses existential security arguments against open-source AI as flimsy.27:21–32:46 · The hosts as informed peer 5/10 Leveling Rules for Google and Long-Tail Content Markets Matthew outlines the need to strip Google of privileged crawler status to establish an open content marketplace for long-tail publishers. Sarah asks for concrete advice for publishers who cannot predict model incrementality.32:47–41:27 · The hosts as informed peer 7/10 Inference Efficiency, Model Pruning, and Agentic Infrastructure Matthew critiques Nvidia's lack of focus on power efficiency and hyperscalers' unaligned GPU rental models, praising DeepSeek's computer science innovations. Elad presses on the separation between underlying chip architectures and model compression techniques.41:28–44:51 · The hosts as informed peer 7/10 Micropayments, Agent Identity, and Cryptographic Web Permissions The discussion covers cryptographic agent identity, microtransactions, and browser scraping. Elad actively contributes by highlighting zero-knowledge proofs as the natural credentialing mechanism for autonomous agents.0:37–3:19 · Guest teaching 5/10 Founding Cloudflare and Building Beyond the Traditional CDN Sarah introduces Cloudflare's scale and describes them as the largest CDN. Matthew politely corrects the framing, explaining that Cloudflare was built as a cloud security firewall rather than a traditional CDN.3:19–7:35 · Guest teaching 6/10 The Demise of Search and Shifting Web Economics Sarah and Elad query the shift from search to agentic AI interfaces. Matthew provides concrete empirical figures showing how much harder it has become for creators to get referral clicks from Google, OpenAI, and Anthropic.7:36–13:05 · Guest teaching 6/10 Copyright Limitations and Scarcity via Content Independence Matthew breaks down why relying on copyright law fails content creators due to fair-use protections on derivative works, outlining Cloudflare's crawler-blocking initiative. Elad draws an apt technical parallel to robots.txt evolution.13:05–18:03 · Guest teaching 6/10 The Swiss Cheese Metaphor and Knowledge-Based Incentives Matthew uses a Swiss cheese metaphor to explain how AI models prune redundant data and need unique knowledge. Elad pushes back by comparing this to existing data labeling companies like Scale and Mercor, which Matthew distinguishes using Spotify's demand-fill model.18:03–22:32 · Guest teaching 6/10 Future Publisher Monetization and Avoiding Monolithic AI Silos Elad pushes Matthew on whether human content reaches a ceiling by citing Google's MedPalm II surpassing human doctors, while Sarah challenges AI lab willingness to pay compared to open-web ad scale. Matthew firmly rejects the content ceiling premise and critiques naive lump-sum licensing deals.22:32–27:21 · Guest teaching 5/10 Edge Inference Architecture and Support for Open Models The hosts inquire about edge inference architecture and open versus closed models. Matthew explains Cloudflare's edge GPU deployment and dismisses existential security arguments against open-source AI as flimsy.27:21–32:46 · Guest teaching 6/10 Leveling Rules for Google and Long-Tail Content Markets Matthew outlines the need to strip Google of privileged crawler status to establish an open content marketplace for long-tail publishers. Sarah asks for concrete advice for publishers who cannot predict model incrementality.32:47–41:27 · Guest teaching 7/10 Inference Efficiency, Model Pruning, and Agentic Infrastructure Matthew critiques Nvidia's lack of focus on power efficiency and hyperscalers' unaligned GPU rental models, praising DeepSeek's computer science innovations. Elad presses on the separation between underlying chip architectures and model compression techniques.41:28–44:51 · Guest teaching 5/10 Micropayments, Agent Identity, and Cryptographic Web Permissions The discussion covers cryptographic agent identity, microtransactions, and browser scraping. Elad actively contributes by highlighting zero-knowledge proofs as the natural credentialing mechanism for autonomous agents.0:37–3:19 · Guest disagreement 3/10 Founding Cloudflare and Building Beyond the Traditional CDN Sarah introduces Cloudflare's scale and describes them as the largest CDN. Matthew politely corrects the framing, explaining that Cloudflare was built as a cloud security firewall rather than a traditional CDN.3:19–7:35 · Guest disagreement 2/10 The Demise of Search and Shifting Web Economics Sarah and Elad query the shift from search to agentic AI interfaces. Matthew provides concrete empirical figures showing how much harder it has become for creators to get referral clicks from Google, OpenAI, and Anthropic.7:36–13:05 · Guest disagreement 3/10 Copyright Limitations and Scarcity via Content Independence Matthew breaks down why relying on copyright law fails content creators due to fair-use protections on derivative works, outlining Cloudflare's crawler-blocking initiative. Elad draws an apt technical parallel to robots.txt evolution.13:05–18:03 · Guest disagreement 3/10 The Swiss Cheese Metaphor and Knowledge-Based Incentives Matthew uses a Swiss cheese metaphor to explain how AI models prune redundant data and need unique knowledge. Elad pushes back by comparing this to existing data labeling companies like Scale and Mercor, which Matthew distinguishes using Spotify's demand-fill model.18:03–22:32 · Guest disagreement 4/10 Future Publisher Monetization and Avoiding Monolithic AI Silos Elad pushes Matthew on whether human content reaches a ceiling by citing Google's MedPalm II surpassing human doctors, while Sarah challenges AI lab willingness to pay compared to open-web ad scale. Matthew firmly rejects the content ceiling premise and critiques naive lump-sum licensing deals.22:32–27:21 · Guest disagreement 3/10 Edge Inference Architecture and Support for Open Models The hosts inquire about edge inference architecture and open versus closed models. Matthew explains Cloudflare's edge GPU deployment and dismisses existential security arguments against open-source AI as flimsy.27:21–32:46 · Guest disagreement 2/10 Leveling Rules for Google and Long-Tail Content Markets Matthew outlines the need to strip Google of privileged crawler status to establish an open content marketplace for long-tail publishers. Sarah asks for concrete advice for publishers who cannot predict model incrementality.32:47–41:27 · Guest disagreement 4/10 Inference Efficiency, Model Pruning, and Agentic Infrastructure Matthew critiques Nvidia's lack of focus on power efficiency and hyperscalers' unaligned GPU rental models, praising DeepSeek's computer science innovations. Elad presses on the separation between underlying chip architectures and model compression techniques.41:28–44:51 · Guest disagreement 2/10 Micropayments, Agent Identity, and Cryptographic Web Permissions The discussion covers cryptographic agent identity, microtransactions, and browser scraping. Elad actively contributes by highlighting zero-knowledge proofs as the natural credentialing mechanism for autonomous agents.0:37–3:19 · The hosts pushing back 2/10 Founding Cloudflare and Building Beyond the Traditional CDN Sarah introduces Cloudflare's scale and describes them as the largest CDN. Matthew politely corrects the framing, explaining that Cloudflare was built as a cloud security firewall rather than a traditional CDN.3:19–7:35 · The hosts pushing back 2/10 The Demise of Search and Shifting Web Economics Sarah and Elad query the shift from search to agentic AI interfaces. Matthew provides concrete empirical figures showing how much harder it has become for creators to get referral clicks from Google, OpenAI, and Anthropic.7:36–13:05 · The hosts pushing back 2/10 Copyright Limitations and Scarcity via Content Independence Matthew breaks down why relying on copyright law fails content creators due to fair-use protections on derivative works, outlining Cloudflare's crawler-blocking initiative. Elad draws an apt technical parallel to robots.txt evolution.13:05–18:03 · The hosts pushing back 4/10 The Swiss Cheese Metaphor and Knowledge-Based Incentives Matthew uses a Swiss cheese metaphor to explain how AI models prune redundant data and need unique knowledge. Elad pushes back by comparing this to existing data labeling companies like Scale and Mercor, which Matthew distinguishes using Spotify's demand-fill model.18:03–22:32 · The hosts pushing back 6/10 Future Publisher Monetization and Avoiding Monolithic AI Silos Elad pushes Matthew on whether human content reaches a ceiling by citing Google's MedPalm II surpassing human doctors, while Sarah challenges AI lab willingness to pay compared to open-web ad scale. Matthew firmly rejects the content ceiling premise and critiques naive lump-sum licensing deals.22:32–27:21 · The hosts pushing back 3/10 Edge Inference Architecture and Support for Open Models The hosts inquire about edge inference architecture and open versus closed models. Matthew explains Cloudflare's edge GPU deployment and dismisses existential security arguments against open-source AI as flimsy.27:21–32:46 · The hosts pushing back 2/10 Leveling Rules for Google and Long-Tail Content Markets Matthew outlines the need to strip Google of privileged crawler status to establish an open content marketplace for long-tail publishers. Sarah asks for concrete advice for publishers who cannot predict model incrementality.32:47–41:27 · The hosts pushing back 5/10 Inference Efficiency, Model Pruning, and Agentic Infrastructure Matthew critiques Nvidia's lack of focus on power efficiency and hyperscalers' unaligned GPU rental models, praising DeepSeek's computer science innovations. Elad presses on the separation between underlying chip architectures and model compression techniques.41:28–44:51 · The hosts pushing back 2/10 Micropayments, Agent Identity, and Cryptographic Web Permissions The discussion covers cryptographic agent identity, microtransactions, and browser scraping. Elad actively contributes by highlighting zero-knowledge proofs as the natural credentialing mechanism for autonomous agents.

speaking balance: gold is the hosts, purple is the guest (3 minute bins)

0:00 · the hosts 39.4% · guest 60.6%0:00 · the hosts 39.4% · guest 60.6%3:00 · the hosts 11.1% · guest 88.9%3:00 · the hosts 11.1% · guest 88.9%6:00 · the hosts 15.8% · guest 84.2%6:00 · the hosts 15.8% · guest 84.2%9:00 · the hosts 8.2% · guest 91.8%9:00 · the hosts 8.2% · guest 91.8%12:00 · the hosts 12.8% · guest 87.2%12:00 · the hosts 12.8% · guest 87.2%15:00 · the hosts 7.7% · guest 92.3%15:00 · the hosts 7.7% · guest 92.3%18:00 · the hosts 28.5% · guest 71.5%18:00 · the hosts 28.5% · guest 71.5%21:00 · the hosts 10.7% · guest 89.3%21:00 · the hosts 10.7% · guest 89.3%24:00 · the hosts 12.9% · guest 87.1%24:00 · the hosts 12.9% · guest 87.1%27:00 · the hosts 8.4% · guest 91.6%27:00 · the hosts 8.4% · guest 91.6%30:00 · the hosts 19% · guest 81%30:00 · the hosts 19% · guest 81%33:00 · the hosts 10.5% · guest 89.5%33:00 · the hosts 10.5% · guest 89.5%36:00 · the hosts 16.5% · guest 83.5%36:00 · the hosts 16.5% · guest 83.5%39:00 · the hosts 31.1% · guest 68.9%39:00 · the hosts 31.1% · guest 68.9%42:00 · the hosts 15.6% · guest 84.4%42:00 · the hosts 15.6% · guest 84.4%45:00 · the hosts 100% · guest 0%45:00 · the hosts 100% · guest 0%
Sharpest disagreement ▶ 18:28 Rejection of the human content ceiling hypothesis

Matthew directly rejects Elad's suggestion that AI performance benchmarks like MedPalm II mean we are running out of valuable human-generated content.

Hardest push from the hosts ▶ 20:00 Guo questions AI lab willingness to match publisher ad economics

Sarah directly questions Matthew's premise of large payouts to creators, pointing out the massive economic discrepancy between open web ad revenues and existing data licensing budgets.

Biggest teaching moment ▶ 4:45 Data on referral traffic collapse across AI engines

Matthew educates the hosts with precise internal and industry metrics showing that getting clicks from OpenAI is 750x harder and from Anthropic is 30,000x harder than legacy Google search.

The host holds their own ▶ 18:03 Gil cites MedPalm II benchmarks to challenge human content scaling

Elad demonstrates deep technical command by citing Google's MedPalm II medical benchmark outperforming physicians to question the long-term dependency on human expert writing.

the scores for every segment, with the reasoning behind each
ChapterTopicThe hosts as informed peerGuest teachingGuest disagreementThe hosts pushing backWhy
Founding Cloudflare and Building Beyond the Traditional CDN 4532 Sarah introduces Cloudflare's scale and describes them as the largest CDN. Matthew politely corrects the framing, explaining that Cloudflare was built as a cloud security firewall rather than a traditional CDN.
The Demise of Search and Shifting Web Economics 5622 Sarah and Elad query the shift from search to agentic AI interfaces. Matthew provides concrete empirical figures showing how much harder it has become for creators to get referral clicks from Google, OpenAI, and Anthropic.
Copyright Limitations and Scarcity via Content Independence 6632 Matthew breaks down why relying on copyright law fails content creators due to fair-use protections on derivative works, outlining Cloudflare's crawler-blocking initiative. Elad draws an apt technical parallel to robots.txt evolution.
The Swiss Cheese Metaphor and Knowledge-Based Incentives 6634 Matthew uses a Swiss cheese metaphor to explain how AI models prune redundant data and need unique knowledge. Elad pushes back by comparing this to existing data labeling companies like Scale and Mercor, which Matthew distinguishes using Spotify's demand-fill model.
Future Publisher Monetization and Avoiding Monolithic AI Silos 7646 Elad pushes Matthew on whether human content reaches a ceiling by citing Google's MedPalm II surpassing human doctors, while Sarah challenges AI lab willingness to pay compared to open-web ad scale. Matthew firmly rejects the content ceiling premise and critiques naive lump-sum licensing deals.
Edge Inference Architecture and Support for Open Models 5533 The hosts inquire about edge inference architecture and open versus closed models. Matthew explains Cloudflare's edge GPU deployment and dismisses existential security arguments against open-source AI as flimsy.
Leveling Rules for Google and Long-Tail Content Markets 5622 Matthew outlines the need to strip Google of privileged crawler status to establish an open content marketplace for long-tail publishers. Sarah asks for concrete advice for publishers who cannot predict model incrementality.
Inference Efficiency, Model Pruning, and Agentic Infrastructure 7745 Matthew critiques Nvidia's lack of focus on power efficiency and hyperscalers' unaligned GPU rental models, praising DeepSeek's computer science innovations. Elad presses on the separation between underlying chip architectures and model compression techniques.
Micropayments, Agent Identity, and Cryptographic Web Permissions 7522 The discussion covers cryptographic agent identity, microtransactions, and browser scraping. Elad actively contributes by highlighting zero-knowledge proofs as the natural credentialing mechanism for autonomous agents.

Statements from this episode (21)

Assertion Supported
Prince: Cloudflare built its registrar after an attempt to steal its domain
“Someone almost hacked or stole our domain at some point as a way of hacking into us. So the next thing you know, we built our own registrar.”
Matthew Prince Aug 7, 2025 ▶ 3:00
Assertion Supported
Prince: Google Clicks Are 10x Harder to Get Than 10 Years Ago
“The data that we have also substantiates that and shows that compared with 10 years ago, it's become 10 times harder for the same piece of content to get a click from Google than it was before.”
Matthew Prince Aug 7, 2025 ▶ 5:24
Assertion Supported
Prince: OpenAI and Anthropic Refer Traffic 750x and 30,000x Less Than Google
“In the case of someone like OpenAI, it's 750 times harder than it was with the Google of old. With the case of Anthropic, it's 30,000 times harder than the content of old”
Matthew Prince Aug 7, 2025 ▶ 5:49
Prediction Not checkable as stated
Prince: AI Traffic Drop Could Starve Web Content and AI Training
“What I worry about is that if the value creation model of the web has been all about how do I get traffic The new interface of the web isn't going to send you traffic, and if that's the case, if content creators can't get value from selling a thing or a subscr…”
Matthew Prince Aug 7, 2025 ▶ 5:57
Assertion Not checkable as stated
Prince: 80% of major AI companies are Cloudflare customers
“80% of the major AI companies are Cloudflare customers.”
Matthew Prince Aug 7, 2025 ▶ 9:02
Disclosure
Cloudflare blocks AI training crawlers by default across all customer sites
“And so what we did on July first was we announced what we called the Content Independence Day, where you could actually have independence from these AI companies. And we, for free, across all of our customers, whether they paid us or they didn't pay us, we sta…”
Matthew Prince Aug 7, 2025 ▶ 10:41
Assertion Not checkable as stated
Prince: Prominent AI companies use state-hacker tactics to bypass scraping blocks
“In fact, some really prominent companies That do some very, very, very shady things where they basically say, absolutely, we follow the rules of the road, but when push comes to serve, if it turns out they're blocked, then all of a sudden they're doing a bunch…”
Matthew Prince Aug 7, 2025 ▶ 12:33
Prediction Held up
Prince: Cloudflare will soon publicly expose misbehaving AI scraping companies
“So, you know, watch our blog, and I have a feeling that some prominent AI companies that are misbehaving are Can get called out pretty soon.”
Matthew Prince Aug 7, 2025 ▶ 12:59
Insight
Prince: AI Markets Should Reward Creators for Filling Knowledge Gaps Over Traffic
“Their very algorithms, as they come across a piece of content, they prune off that content Which is already kind of part of the meaty part of the cheese, whereas the parts that are in holes are actually super valuable to them, and so I actually think that if w…”
Matthew Prince Aug 7, 2025 ▶ 14:59
Assertion Contradicted
Prince: Musicians make millions writing songs to fulfill unmet Spotify queries
“Spotify actually looks at queries that people have run that they don't have good answers for, where there's, you know, somebody searches for, I don't know, I want a disco song about like how fun it is to dance with your dog, right? I don't know. And if somebod…”
Matthew Prince Aug 7, 2025 ▶ 16:41
Opinion
Prince: Fixed-Sum AI Licensing Deals Are a Mistake for Content Creators
“I think the mistake that a lot of content creators did was they actually did deals that don't scale as the business models of the AI companies scale with them. So if you do a deal that's like, twenty million dollars and you get all my content, I mean, that's a…”
Matthew Prince Aug 7, 2025 ▶ 21:13
Prediction Not checkable as stated
Prince: In-network edge inference will handle models too large for end devices
“We believe that a lot of inference is going to happen on your end device, but there will always be some model which is too big or too resource intensive. And in that case, the next best place to run it is going to be on at the inside the network at the edge.”
Matthew Prince Aug 7, 2025 ▶ 23:27
Opinion
Prince: Regulate pathogen printers, not open-source AI models
“I'm actually quite skeptical of the, if we allow open source models, the world is going to end arguments. That seems histrionic to me. There are things we should worry about. Like it is, you know, I think some of the you know synthetic pathogens and other thin…”
Matthew Prince Aug 7, 2025 ▶ 26:51
Assertion Not checkable as stated
Prince: AI companies fear Google most due to its privileged content access
“Why Google is so important is when you talk to all of the other AI companies, Google is the one company that they're the most afraid of. And that the reason that they're most afraid of them is because they think that they have privileged access to content in a…”
Matthew Prince Aug 7, 2025 ▶ 28:32
Disclosure
Prince: Cloudflare could negotiate pooled AI licensing deals like Spotify
“Where I think we can play a role is when you have either a large content provider trying to make a deal with all of the AI startups that are out there, which they really do want to do, and they want to do it in a way that scales, but they can't do one-off deal…”
Matthew Prince Aug 7, 2025 ▶ 29:58
Opinion
Prince: Nvidia's power stance mirrors Intel's hubris in 2010
“When we talk with the folks at Nvidia, it feels a little bit like talking to Intel back You know, in our case in 2010, or Apple's case in 2005, where they were like, you're doing it wrong if you care about power efficiency.”
Matthew Prince Aug 7, 2025 ▶ 34:00
Prediction Open · timeframe Aug 2030
Prince: Smartphones will soon run local models matching current ChatGPT
“It is not particularly long before you're running something which is the equivalent of kind of the current generation of ChatGPT on your iPhone or your, or at your Android device.”
Matthew Prince Aug 7, 2025 ▶ 38:17
Prediction Not checkable as stated
Prince: GPUs will speed-run 30 years of CPU efficiency in ten years
“We're going to speed run the last 30 years of CPU efficiency gains. In, in the next, you know, five to 10 in, in GPUs.”
Matthew Prince Aug 7, 2025 ▶ 40:00
Disclosure
Prince: Cloudflare will probably enter the agentic infrastructure space
“We will probably compete in that. Agentic infrastructure space.”
Matthew Prince Aug 7, 2025 ▶ 40:28
Assertion Partly supported
Prince: Cloudflare processes roughly 15 trillion requests per day
“I mean, we do something like 15 trillion requests every day”
Matthew Prince Aug 7, 2025 ▶ 41:48
Prediction Not checkable as stated
Prince: Infrastructure regulating web bots will also regulate AI-connected browsers
“I think that that's, it, it'll probably be the same fundamental infrastructure that regulates how bots access the web, that ends up regulating how browsers access the web, and a browser that Takes data and then immediately feeds it back to an LLM might have mo…”
Matthew Prince Aug 7, 2025 ▶ 43:33
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 100 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.