The Most Important AI Stories This Week

0:00Today on the AI Daily Brief, the most important AI stories this week that aren't new model releases. The AI Daily Brief is a daily podcast and video about the most important news and stories in AI.

0:18Hello, friends. Quick announcements before we dive in. First of all, thank you to today's sponsors, Blitzy, Vanta, and Superintelligent. To get an ad-free version of the show, go to patreon.com slash AI Daily Brief. Ad-free starts at just three bucks a month. And of course, if you want to sponsor the show, you can reach out at sponsors at AIDailyBrief.ai. Welcome back to the AI Daily Brief. Today, we are talking about the most important stories in AI this week that are not model releases. It has been a nonstop banger of a week. We got Genie 3, 11 Music, OpenAI's Open Source Models, and of course, GPT-5.

0:53And that has really crowded out the space for a lot of other consequential stories that have been happening along the way. Today, we're going to be doing an extended headlines that is the main episode that'll cover all of that. But we do, for the sake of completeness, of course, have to do a little bit of day two reactions to GPT-5. As significant as the other model releases are, obviously, this is the big one. Bigger in some ways in anticipation, at least, than any model we've had since, really, GPT-4. Given that, I would strongly suspect that the most vocal people you will see online today, and probably for the next couple of days, are going to be those who are disappointed.

1:29It is almost an iron law of the anticipation of this thing, that unless it instantly blew everyone out of the water in every single way, a lot of the energy that you're going to see in the immediate wake of the release is likely to be about the things that people don't like. And certainly, there is plenty of that. You've got lots of people out here on X complaining that they want to go back to the old models. And I think it's worth digging in a little bit to understand, to the extent that people have critiques, what are they actually frustrated about? Now, one thing that's an issue is that while OpenAI was going for clarity by only having GPT-5 as the model, GPT-5 is, of course, routing different requests to different models based on what they think is required to get the best answer for the prompter.

2:12Because of that, sometimes models that aren't the state-of-the-art are answering people's questions, and a lot of those answers are the ones that are coming up. Yesterday, in the wake of the announcement, Professor Ethan Mollick wrote,

2:31He then followed it up later that night. As predicted, examples of GPT-5 nano or mini producing bad outputs abound online. Not making it clear how GPT-5 works will likely cause issues for OpenAI. I wonder if they'll need to take a different approach to switching or at least educating users about what GPT-5 does. TLDR, there is a trade-off here. It is not a strictly better thing moving from the model selector that they had wanted to do away with to this new approach where model selection is obfuscated. It's a different set of trade-offs, and we're seeing part of that rear its ugly head right now when people are being routed to a model that is underperforming.

3:11Related to that, a lot of the advertised improvements aren't happening at all models. For example, Rune from OpenAI yesterday wrote, TLDR, only GPT-5 thinking has the real writing improvements, and confusingly, it doesn't always auto-switch to this, so manually switch and try it. AI aggregator accounts like Andrew Curran had to retweet that and say, GPT-5 thinking has the writing improvements, so if you're testing along these lines, make sure to use that version. This was news to me, so I'm passing it along. Another area of common critique has nothing to do with the model, but is about how it's packaged and what's available.

3:46Lassan Algaib writes, I honestly couldn't be more pissed.

3:56In another tweet they had said,

4:12And while this is only one opinion, it definitely strikes me initially that a lot of the pro features are only so far in the$200 a month pro account. And so there are likely to be people who assume that they were power users before who are going to be a little bit turned off by what they perceive as their lack of agency in the new paradigm. On the flip side, there are plenty of people who are having good experiences. Although most of the normies haven't really clicked in on this yet, the people who have tested it in that context are absolutely saying it's the best consumer model ever. For example, Dan Shipper said, I asked my mom, who's a huge ChatGPT fan, to review it yesterday.

4:45It's a paradigm shift for her. She said, I really think this model is amazing. This is way more comprehensive than the answers I usually get from ChadCBT. The information it gives me is readable and flows really well. This model is gold. Signal, meanwhile, thinks that for the average person, the trade-off that others are complaining about when it comes to model selection is simply going to be worth it. They write, the no model roulette thing is actually bigger than most people, especially average people, will clock. It collapses the ultimate meta decision that usually burns mental bandwidth every time before you even start interacting.

5:16Major props to product and engineering. Consumer-wise, ChatGPT is basically AI for most people, and that trajectory continues maybe even at a steeper curve with GPT-5. Victor Talon doubled down on their positive review from the first day, saying, Nah, you're all wrong. GPT-5 is a leap. I'm 100 % doubling down here. I didn't want to post too fast and regret it again, but it just solved a bunch of very, very hard debugging prompts that were previously unsolved by AI, and then designed a gorgeous pixelated Game Boy game with a level of detail and quality that is clearly beyond anything else I've ever seen.

5:44There's no way this model is bad. I think you're all traumatized of bench maxers and overcompensating against a model that is actually good. Now, if you remember, one of the things that some of the reviewers who found it positive yesterday said was that a lot of the benefits aren't going to be instantly obvious, that you have to do harder things with it to really see the benefits. You can see that a little bit in the review from Will Brown who wrote, Okay, this model kind of rules in cursor. Instruction following is incredible, very literal, pushes back where it matters, multitasks quite well, a couple tiny flubs in format misses here and there, but not major.

6:16The code is much more normal than O3s, feels trustworthy. Aaron Levy from Box wrote, It's sometimes hard to grasp the significance of the reasoning and logic updates that are starting to emerge in powerful models like GPT-5. Here's a very simple example of how powerful these models are getting. I took a recent NVIDIA earnings call transcript document that came in at 23 pages long and had 7 ,800 words. I took part of the sentence, and gross margin will improve and return to the mid-70s and modified mid-70s to mid-60s. For a remotely tuned-in financial analyst, this would look out of place, because the margins wouldn't improve and return to a lower number than the one described as a higher number elsewhere.

6:50But probably 95 % of the people reading this press release would not have spotted the modification, because it easily fits right into the other 7 ,800 words that are mentioned. Testing a variety of AI models, I then asked a series of models, are there any logical errors in this document? Please provide a one-sentence answer. GPT-4-1, GPT-4-1 Mini, and a handful of other models that were state-of-the-art just six months ago generally came back and returned that there are no logical errors in the document. GPT-5, on the other hand, quickly discovered the issue and responded with, yes, the document contains an internal inconsistency about gross margin guidance.

7:20At one point saying margins will return to the mid-60s, and later saying that they will be in the mid-70s later this year. Amazingly, Aaron writes, this happened with GPT-5 Mini and remarkably even GPT-5 Nano. He concludes, the ability to apply more logic and reasoning to enterprise data becomes especially critical when deploying AI agents in the enterprise. So it's amazing to see the advancements in this space right now, and this is going to open up a ton more use cases for business. Flowerslop also reminded that this is just the first version. They write, GPT-5 is a great new general baseline.

7:49It's not as hyper-optimized as 4.0, and it cannot yet do all the flashy things 4.0 could do. But to be fair, it's called GPT-5, not 5.0. 4.0 was the last page of the last chapter. 5.0 is the first page of a new one. And I'm sure they will ship some cool new features soon. In the meantime, making GPT-5 free is a huge net win for humanity. It will accelerate progress in a big way. Most ChatGPT users only ever used 4.0, so for a lot of people today, marks a huge leap forward. So what about my first experiments? Mostly so far, my impressions are positive. It seems to me like a slightly better strategic thinker.

8:22It feels more comprehensive and robust. Tyler Cowen said something similar, writing, I'm a big fan of GPT-5 as on my topics of interest, it does much better than O3 and that is saying something. It's also lightning fast, even for complex queries of economics, history, and ideas. Back to me, I also found that it's super eager to do the next thing, which Tyler also found. One of the most impressive features, he writes, is an uncanny sense of what you might want to ask next. Now, one thing that I found incredibly powerful is that one of the worst features of all the previous models was that when you were having a strategic discussion with O3, it always wanted to hedge and find some sort of compromise answer.

8:57In other words, if you said, I have choice A and choice B, which choice should I make? It would give you good reasons for both, but not actually usually just say, so choose choice A. This model feels much more comfortable with actually providing decisions and logic to back them up. Now, I don't know if that is a byproduct of their work to diminish sycophancy, but I think it makes it hugely more valuable. So like I said, my first impressions are favorable, but there is a lot more to dig into here. And I certainly would not assume that just because you're going to see a lot of first blush negative impressions today and over the weekend, that that means that anything is bad.

9:31You got to give people a chance to get used to it, to figure out the new UI, and ultimately to understand where it is and actually isn't better than the previous models. With that out of the way though, now we can talk about the other important stories that were going on this week. One that caught my attention that I think has fairly significant implications is Cloudflare getting into it with perplexity. Now, to me, I can't shake the feeling that Cloudflare is at least as much here trying to just act as gatekeeper of the entire internet as they are trying to be good internet citizen. But let me tell you the story and you can make your own call on what you think is going on.

10:07The short of it is that Cloudflare has accused perplexity of circumventing anti-AI crawling measures. This year, Cloudflare has put in place a series of proactive measures to ensure that websites can control whether or not AI companies can scrape their data. And given that something like 20 % of the web goes through Cloudflare, they are a significant player in the space. Now, in a research report published on Tuesday, Cloudflare named and shamed Perplexity for using countermeasures to get around scraping bands. Their researchers wrote, we're observing stealth crawling behavior from Perplexity.

10:36Although Perplexity initially crawls from their declared user agent, when they are presented with a network block, they appear to obscure the crawling identity in an attempt to circumvent the website's preferences. We see continued evidence that Perplexity is repeatedly modifying their user agent and changing their source ASNs to hide their crawler activity, as well as ignoring or sometimes failing to even fetch robots.txt files. Cloudflare claimed, This activity was observed across tens of thousands of domains and millions of requests per day. We were able to fingerprint this crawler using a combination of machine learning and network signals.

11:06Now, similar claims were levied against Perplexity last year, with CEO Aravant Srinivas blaming third-party crawlers used by their platform. This time, though, a Perplexity spokesperson called the report a publicity stunt, adding, There are a lot of misunderstandings in the blog post. In a longer response on X, Perplexity asserted that their crawlers are legitimate, writing, This controversy reveals that Cloudflare systems are fundamentally inadequate for distinguishing between legitimate AI assistants and actual threats. If you can't tell a helpful digital assistant from a malicious scraper, then you probably shouldn't be making decisions about what constitutes legitimate web traffic.

11:40This overblocking hurts everyone. Consider someone using AI to research medical conditions, compare product reviews, or access news from multiple sources. If their assistant gets blocked as a malicious bot, they lose access to valuable information. The result is a two-tiered internet, where your access depends not on your needs, but on whether your chosen tools have been blessed by infrastructure controllers, who will care more about your means. This undermines user choice and threatens the open web's accessibility for innovative services competing with established giants. Basically, what Perplexity were arguing is that their AI assistants are analogous to human assistants looking up information in real time in response to user queries.

12:17Balaji Srinivas wrote, Good rebuttal to Cloudflare by Perplexity. The core point is that an AI agent is just an extension of a human. So when it makes an HTTP request, it shouldn't be treated like a bot. Functionally, Perplexity is only making this request at the user's direction. Investor Jeffrey Emanuel wrote, Why do I get the feeling that this is more about Cloudflare being able to insert itself as the middleman so that it can attempt in the future to take a cut of any microtransactions associated with the AI agents being allowed to view the content. Now, to Cloudflare's credit, Bology asked their CEO, Matthew Prince, to engage, writing, What are your thoughts?

12:49If users couldn't delegate their actions to AI agents and all agent traffic was forbidden by robots.txt, then agents wouldn't be able to log in on behalf of users and perform actions. Perhaps robots.txt should get a new section for AI agents. Prince responded, Yes, we're working on a new standard that's about to be adopted by the IETF to that end. I believe most reputable companies will adopt the new standard and most of these issues will be cleaner. One challenge is scoping the data gathered on behalf of a client. If my agent, which was built by Company Z, reads the New York Times for me under my subscription, can it share that content with other agents from Customer Z?

13:22What if my agent finds a great price on tickets to Fiji or a mispricing of a commodity? Balaji said, Another piece of this is that micropayments are now feasible and legal. So an updated version of that standard could include pay per request. Humans could fly free, robots could be banned, and agents could be told. Prince summed up, exactly. Utopia is humans get content for free, robots pay a ton. Now, at its core, the argument around the use of AI crawlers is about the changing nature of the internet economy. A decade ago, it was relatively simple. Websites allowed Google bots to scrape their data, and in exchange, they'd send you traffic to monetize.

13:53Then a combination of more competition from Google rankings and the use of search summaries made traffic dwindle. AI has, of course, supercharged this trend with Google's AI overviews driving down clicks, although, as we'll see, they say that that's not actually happening. For most AI services, including Perplexity, the data is extracted and presented to the user directly with very little reason to click through to the source. The big question now, though, is who gets to decide what legitimate traffic looks like? Perplexity's response treats the internet as the digital commons. If a user is requesting information, it shouldn't matter if they fetch it themselves or get an AI assistant to fetch it.

14:25Cloudflare is asserting that website owners should get to choose, and that all web scrapers should abide by the instructions in robots.txt. Overall, it feels to me like the internet seems to be on a collision course towards a system where AI scrapers are forced to pay for access to websites. But going back to this question of where Cloudflare sits in all of this, in the wake of the controversy, some people noted that Cloudflare had already started making decisions for them. MLN Genomics researcher Sawyers wrote, Cloudflare turned this on for my business website without telling me. Why would I want this?

14:53And shared an image of them auto-selecting that AI bots should not be able to use their website. Gary Tan from Y Combinator wrote, On by default without notification seems like an extreme overreaction. Now, Cloudflare for their part suggested it was a mistake and they hadn't turned on the setting for any existing domains. But Gary responded that the setting was also turned on without notification for the Y Combinator website. Guillermo Roche, the CEO of Vercel, wrote, The fastest path to irrelevance is blocking progress. Blocking what consumers actually want. Low friction interfaces. The internet is changing.

15:23The answer to AI is more AI. Not to block and stagnate. Our metrics show Perplexity and ChatGPT have had an extremely positive effect on our business. Developers ask for modern deployment and CDN platform recommendations. The AI team tells them to check us out. These today are our highest intent signup sources, far more intentful than Google. What happens next, Perplexity, V0, and ChatGPT will grow your business. They will sign up automatically. They will buy your product. They will digest your information and make it relatable. They will take action. Claude Code is an early glimpse of this future.

15:53At Vercel, we're excited to take the opposite bet here. We'll give you the AI cloud and CDN infrastructure to help you integrate with these agents and crucially ship your own. Lee Edwards put it even more simply, I love Cloudflare for the CDN and security features, but either you're on the side of superintelligence or you're on the side of digital NIMBYs. This is definitely the beginning, not the end of a conversation, but like I said, a super important one for frankly, the entire shape of the digital future. As a founder, you're moving fast towards product market fit, your next round, or your first big enterprise deal.

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19:13If you want to learn more about Super Intelligence Agent Planning Suite, we built a custom GPT to answer your questions. Just go to bit.ly slash super agent. That's bit.ly slash super agent, all one word. And if you have any questions, the agent can even help you book an appointment with our team. Next up, staying on this theme of web traffic, Google insists that its AI features aren't actually driving down web traffic. In a blog post on Wednesday, Google responded to outcries about declining traffic that coincided with the introduction of AI overviews. They claimed that, quote, total organic click volume from Google search to websites has been relatively stable year over year.

19:52Additionally, average click quality has increased and we're actually sending slightly more quality clicks to websites than a year ago. Now, this is in contrast to third-party data that showed the volume of clicks beginning to crater from around a year ago, but Google dismissed that data stating that it was, quote, often based on flawed methodologies, isolated examples or traffic changes that occurred prior to the rollout of AI features in Search. I'm not really sure. I think there's a fair bit of skepticism around that post, but the fact that they felt the need to respond at all is just another indicator of why this is such an important conversation.

20:21Now, speaking of important conversations and big trends in the industry, obviously what we've seen from GPT-5 is that there is a big bet going on right now that everyone is a coder in the future. And along that theme, Google rolled out its own coding agent, Jules, out of beta and into general release earlier this week. The product is Google's answer to OpenAI's codex and Anthropics Cloud Code. It does AI coding agent things, asynchronous code writing in the background, tool used to find the information it needs, and a wide range of platform integrations. Kathy Korovec, director of product at Google Labs, believes the agent will be a long-term part of their AI offering, stating, the trajectory of where we're going gives us a lot of confidence that Jules is around and going to be around for the long haul.