The AI Daily Brief: Artificial Intelligence News and Analysis - AI Optimism vs. AI Pessimism

Episode Date: July 14, 2026

From Anthropic’s grim new ad to Demis Hassabis’s call for frontier AI standards, the debate over AI’s societal risks is changing. NLW argues that the conversation is becoming more grounded, nuanced and useful—even as deep disagreements remain over jobs, superintelligence and government control.Brought to you by:KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠kpmg.com/us/Sophisticated⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠hyperagent.com/aidailybrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Retool - Secure your vibecoded apps. New enterprise customers get up to $10,000 in AI credits per year. ⁠⁠⁠⁠⁠⁠⁠retool.com/aidaily ⁠⁠⁠⁠⁠⁠⁠Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.rackspace.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Section - Section turns AI investment into workforce transformation and ROI - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sectionai.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Scrunch - The AI customer experience platform - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://scrunch.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Our Newsletter is BACK: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aidailybrief.beehiiv.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? [e-mail]

Today on the AI Daily Brief, AI Optimism versus AI Pessimism. AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. All right, friends, quick announcements before we dive in. First of all, thank you to today's sponsors, KPMG, Airtable, Blitzy, and Retool. To get an ad-free version of the show, go to patreon.com slash AI Daily Brief, or you can subscribe and Apple Podcasts. And to learn more about sponsoring the show, send us a note at sponsors at AIDDailybrief. Today we are checking in on the state of the discourse around AI risk.

And more broadly, thinking about AI optimism versus AI pessimism. Now, in that context, if I told you that someone had produced a commercial about AI where the first few images are smash cuts of a burning building, a set of gravestones, and mass surveillance, plus a bunch of people being stressed out because they lost their jobs and some homeless people, you might guess that that was a political ad by some anti-AI group, right? but in fact it is not. Instead, it's the first set of images from a new ad from Anthropic. Now, the theme of the campaign is the idea of there being hope in hard questions. That's their

phrase. And so what the ad actually is is a set of very hard questions about AI taking our jobs and whether or not AI can be trusted. That's where that visceral negative imagery comes at the beginning, moving to a set of more optimistic or positive questions. Like, could AI help me build more connections in the community? And could AI help more people feel understood. Now, on the one hand, I will say that I understand what the goal of this content asset is. It's to try to meet people where anthropic imagines they are and acknowledge the hard stuff before pushing on into the good stuff. And yet, in practice, I think it is spectacularly tone-deaf and completely fails to acknowledge the way that people actually receive media. It is a perpetuation

of this long-term fetish that AI companies have had with, quote-unquote, acknowledging all the bad sides and the risks, rather than just selling the positive vision. And blame it on the tension spans or anything else, I think most people who see this aren't going to make it past the first few seconds where it's all burning buildings and gravestones. Now, I want to be clear, others were in disbelief as well. Sam Altman, who yesterday seemed to wake up and choose violence on Twitter, retweeted the ad and said, I thought this was satire. And I thought this was an interesting jumping off point for a larger conversation about how some of the AI societal concern discourse is evolving, because over the last week or so, we've actually gotten a couple different examples that show what I think is a more

positive direction in the practicality of that discourse. The first example of this is a new petition on the AI economy that was signed by 16 Nobel laureates. Now, if you've been paying attention for a while, you'll know that petitions calling for drastic AI policy change don't necessarily have the best track record. Maybe the best known was back in March of 2023 when the first Future of Life Institute issued their AI pause open letter, which called for an immediate six-month global pause and AI training for models more powerful than GPT4. If the AI labs wouldn't voluntarily commit, the letter demanded that government step in. The letter was deeply informed by the AI safety movement and concerns of X-risk, i.e. the risk of extinction, and loomed in

the regulatory conversation over the following year. Now, part of the reason that it didn't have all that much resonance is that the risks that they were talking about were so clearly disconnected from the state of the technology at that GPT4 moment, that for most casual observers, the response didn't really seem connected to the state of the moment. Now, ultimately, nothing much came of the AI pause movement other than a group of dedicated adherence that carried the message forward. This resulted in entirely grounded and realistic works, like the book, If Anyone Builds It, Everyone Dies, released last year. Another effort to stymie AI development sprang up earlier this year, again led by the Future

of Life Institute. This time the petition was called the pro-human AI Declaration, and focused on guidelines for ensuring that AI development was human-focused. It featured a string of restrictions around the well-being of children, limits to the data center buildout, and the preservation of human agency and liberty. The most notable part of this effort was the broad cross-section of signatories. Both Steve Bannon and former Bernie Sanders staffers found themselves in a secret meeting to hash out the details of their demands, ultimately signing up for a common cause. Now, there are a number of big issues with these types of petitions.

One is that the entire premise of an open letter signed by a group of so-called experts could not be more out of sync with the tenor of this moment. Now, I'm not sure that open letters have ever been a particularly potent political force, but the idea of a closed-door meeting with a group of experts, even ones that represent a wide cross-section of politics, being against something, is almost as scary and abhorrent to most as a closed-door meeting of a group of experts across a wide political spectrum being for something.

Now, another issue with these petitions has been their lack of support within the AI industry itself. They've been presented as having Nobel laureates and AI experts as signatories, but when you take a closer look, the Nobel laureates are usually basically just Jeffrey Hinton, an early pioneer of AI research, who has become one of the leading voices of A.Dumerism in this era, and the so-called AI experts are typically the group of internet bloggers who have made a career out of spinning science fiction into prophecies of AI doom. More than that, the arguments usually aren't meaningfully connected to the actual state of AI technology. In other words, it's not that the concept of AI having some

catastrophic possibility is completely out of the question for most people. It's that having the conversations start from a place that is completely unmoored from reality does no one any favors. And that's what makes this new letter somewhat different. Produced by the Stanford Digital Economy Lab, this petition is solely focused on the economic impact of AI that is beginning to unfold. It's titled, We Must Act Now, a statement on AI's transformation of the economy, and calls for urgent preparations for the economic impact of radically more powerful AI. The statement warns that AI could drive an economic transformation larger than the Industrial Revolution on a vastly shorter timeline and urges economists, policymakers, and technology leaders to prepare. The effort was led

by Eric Brinielsen, a Stanford professor and director of the Digital Economy Lab. We featured Eric's work on this show multiple times in the past, and while it can be alarmist, it is, as opposed to many of the things that I've just been critiquing, always grounded in fact and reasonable analysis. Introducing the new statement, Bringulfson wrote, AI capabilities are advancing far faster than our understanding of the economic implications. In that gap, lie the greatest opportunities of our era. We must act now to guide AI to complement humans rather than simply imitate them and to generate prosperity for the many, not just the few.

Michael Spence is one of the Nobel laureates supporting the statement. Now a professor at New York University, Spence won the 2001 Nobel Prize in Economics for his 1973 work on markets with asymmetric information, leading to the theory of job market signaling. Discussing the AI statement, Spence wrote, the scale, scope, and speed of the advances in AI combined with a high level of uncertainty about the magnitude and timing of the impacts across many parts of the economy, call for an all-hands-on-deck approach to steering AI in beneficial directions. Now, when you look at the signatories, some of them are actually folks in the AI industry who are building the technology, not just commenting on it.

And part of the reason that this statement may be finding a little bit more resonance is that it is not prescriptive in quite the same way. It's not some. saying AI is moving fast, so we have to do X, Y, and Z. It's saying AI is moving fast, so we have to talk about what we should do. In fact, let's just read the full statement because it's not very long at all. The statement reads, one, AI may become radically more powerful over the next 10 years. Notice the use of may, an inherently intellectually humble word. Two, this could drive an unprecedented transformation of our economy, larger than the Industrial Revolution, but unfolding over a vastly shorter time frame. It could, and there's that humility again,

bring risks, including large-scale job displacement, as well as opportunities, such as major gains and living standards. Three, economists, policymakers, and technology leaders must act now to understand the economics of transformative AI and to build the incentives, guardrails, and institutions needed to steer AI in a direction that complements humans and benefits society. Signatory Anders Sandberg wrote, I signed We Must Act Now, a statement on AI's transformation of the economy, which is much less alarming than it sounds.

It is basically saying, this is a freaking big. big thing, we ought to investigate this way more than it's being done. The statement is not about superintelligence or existential risk. It is merely assuming a transformative general technology happening much faster than past technological revolutions, which ought to raise concerns that we need to find things out faster than we are used to. Now, Anders' argument in particular here is that specifically the economics of AI haven't had enough focus. He continues, it might sound somewhat absurd to call for more research about AI of all topics. Isn't that the most talked about thing at present, but the economics of AI is surprisingly understudied, it turns out.

He continues, I am somewhat of an optimist about AI alignment and X-risk, but I become increasingly worried that we as a society might not even handle the transition to merely useful AI well, risking that we shake apart social contracts and institutions. Indeed, you kind of get a sense that a lot of the particularly economics folks who signed on to this are signing on not because things have been scarier than they thought, but because they've been surprising in ways that make them want to have more information. Google DeepMinds director of AGI economics, Alex Emos wrote, I was at a workshop yesterday and asked several technologists and economists who had predicted large job market losses from AI model improvement, whether they are surprised about this,

that the unemployment rate for 20 to 24's is effectively unchanged since the AI boom began. Alex continues, models after all have improved in some ways more than projections. Most said yes, some are indeed very surprised. Alex concludes, I do think disruption is likely coming, but it is not at all obvious that it will look like mass unemployment. Sam Alman has also reported this surprise, and in fact used it to explain why the company has shifted their communications. Altman wrote, So far at least, I'm pretty sure AI has been net job creating.

This was not what I expected. Although I was much less pessimistic than others, I thought by this level of capability we'd have seen some impact. It is possible this direction keeps going. Now, obviously, if you've listened to episodes of mine like the new jobs AI will create, you will know that I am fully in the camp of AI being a job changer but a net job unlocker, but that doesn't mean that the transition period won't be without some incredible challenges. One of the most important AI questions right now isn't who's using AI. It's who's using it well.

KPMG in the University of Texas at Austin just analyzed 1.4 million real workplace AI interactions and found something surprising. The highest impact users aren't better prompt engineers. They treat AI like a reasoning partner. They frame problems. guide thinking, iterate, and push for better answers. And the good news? These behaviors are teachable at scale. If you're trying to move from AI access to real capability, KPMG's research on sophisticated AI collaboration is worth your time. Learn more at KPMG.com slash us-sophisticated. That's KPMG.com slash us-sophisticated. This episode of the AI Daily Brief is brought to you by HyperAgent, where you run fleets of agents your team can manage together. New users get $1,000

in inference. Forget local agents and chat workflows waiting on your laptop to be prompted. Hyper-agent deploys always-on agents in the cloud, doing real work across the tools your team already uses. Marketing's agent turns competitor moves into landing pages. Sales as agent enriches leads, drafts emails, and updates the CRM. Ops agent chases the paperwork and tracks the budget. Every agent has access to shared context and follows your rules about scope and approvals. It's time you add agents that feel like teammates. Hire yours at Hyperagent built by the team at Airtable. Claim your $1,000 inference at hyperagent.com slash AI Daily Brief. You've tried in IDEe co-pilots. They're fast, but they only see local silos of your code. Leverage these tools across a large enterprise code base and they quickly

become less effective. The fundamental constraint, context. Blitzy solves this with infinite code context, understanding your code base down to the line-level dependency across millions of lines of code. While co-pilots help developers write code faster, Blitzy orchestrates thousands of agents that reason across your full code base. Allow Blitzy to do the heavy lifting, delivering over 80% of every sprint autonomously with rigorously validated code. Blitzy provides a granular list of the remaining work for humans to complete with their co-pilates. Tackle feature additions, large-scale refactors, legacy modernization, greenfield initiatives, all 5X faster. See the Blitzy difference at Blitzy.com. That's BLITZY.com.

This episode is supported by Retool. AI made building software easier than ever, so more people are building it than ever, usually without a thought for security. Right now, people in your company are vibe coding, and every ungoverned app that touches your data is a risk you own. Retool takes that risk off your shoulders. Build apps however you want. Natively with Retool or with Claude Codex or any coding agent and ship it in a secure governed environment.

Security lives in the platform not in each app, so however it was built, it's governed the moment it ships. It's why teams at Amazon, Stripe, and Brex build on Retool. And new enterprise customers who sign up by September 30th get up to $10,000 in AI credits per year. Learn more at retool.com slash AI Daily. to the extent that our discourse can shift from, you know, burning buildings and gravestones to, hey, this is big and we should study it, I think that would be a positive thing.

One other evolution of a previous document of AI social discourse is a new discussion piece from the AI Futures Project called AI 2040, Plan A. This was produced by the same people who published AI 2027 last year, which got a whole lot of attention and a whole lot of critique. AI 2027 was, for lack of a better term, a doomsday scenario. It ran through a hypothetical, chain of events that began in the current day, which was then mid-2020, with hapless agents that couldn't do much of anything. In late 2025, the scenario predicted the emergence of the world's largest AI model called Agent 1. This fictional model was great at many things like web browsing and autonomous coding, but also developing bio-weapons and computer hacking. Open Brain, the

fictional company that trained Agent 1 was careful to align the system to ensure these nefarious use cases would be refused. In particular, Agent 1 was the first AI model that was truly capable of training other AI models, the dawn of recursive self-improvement. Moving through into 2026, the scenario discussed the rise of autonomous coding, plus China focusing resources more intensely on supporting their AI industry and fully joining the AI race and the start of undeniable AI job loss. In the AI 2027 document, it was in 2027 that the hard takeoff began. Open Brain trains Agent 2 with the help of Agent 1, focusing even more on recursive self-improvement,

with the model held back from release under the guise of responsible AI development. Then in February of 27, the US government glimpses the cyber hacking capabilities of Agent 2 and considers nationalizing open brain to lock down the technology. Turns out to be too late as the Chinese government steals the model. From there, the scenario spirals off into AI Dumer fanfiction. Agent 3 has developed. Another step changed more powerful. With even more alignment difficulties, AI becomes the primary national security concern across the globe, self-improving AI becomes a reality, and the intelligence explosion replaces

all work. By the end of 2027, superintelligence has essentially broken the economy and society as a whole, are scrambling to figure out how to put the genie back in the bottle. Now, instead of being a doomsday scenario, AI 2040 is a plan. The AI Futures Project indeed introduced it as the, quote, least bad plan we currently know of, and wrote, It's called Plan A because it's a recommendation, not a prediction. It's what we think should happen, not what will happen, though we think it's plausible enough to aim for. It's called AI 2040 because in it, they delay the creation of superintelligence to 2040.

It would have happened much sooner in 2030 to be precise, if not for the decisive action on the part of the U.S. and Chinese governments. It's basically a big plan for how the Chinese and U.S. government could get together and slow down AI even if they don't trust each other. And while on the one hand, many of the issues with AI 2027 remain. Timothy B. Lee wrote, I struggle with what to say about the new AI 2040 Plan A website. It all seems so implausible to me that I'm not sure where to start. There is an epistemic chasm between those who think superintelligence applies near omnipotence and those, like me, who don't. I've found that people believe it at such a deeply intuitive level that it's hard to have a meaningful

discussion about it. Each side finds it baffling to encounter people with the opposite intuition and on some level can't believe they're being serious. At the same time, because it is framed as a plan, people can engage in some more meaningful way with what to actually do about concerns if they happen. Finally today, Google's Demas Hasabas also jumped into the conversation with an ex-post called a framework for frontier AI and the dawning of a new age. Demis writes, I've spent my whole life working on AGI because I've always had a deep conviction that, if built and deployed responsibly, it would prove to be one of the most beneficial and transformative technologies ever invented. AGI cannot be compared to standard technological

breakthroughs, not even ones as consequential as the internet or mobile. It is much more akin to the discovery of electricity or fire. If you stop to think about it, we've essentially found a way to make Sam think. It's miraculous. The magnitude of this technology's impact will be unprecedented, perhaps 10x of the Industrial Revolution at 10x the speed. It will help us solve some of the biggest problems society faces from accelerating drug discovery to developing new clean energy sources to creating novel advanced materials. We could even reach a point where resources are no longer the limiting factor for human progress, leading to an amazing new era of abundance. The rest of the piece, then, is about what Demis believes needs to happen to achieve that positive

vision. Now, one challenge in Demis' estimation is that the race around AI doesn't create a lot of space for the type of considered policy discourse that needs to surround it. At the moment, he writes, we are locked in an extremely intense, multi-layer commercial and geopolitical race. While these competitive dynamics fuel rapid progress and accelerate the incredible upsides, advances on the frontier are outpacing our understanding of the technology. Nobody in the world knows for sure what is going to happen from here and even the experts disagree. When there is a large degree of uncertainty and the stakes are this high, proceeding with cautious optimism is the sensible and correct strategy. that calls for public policy that promotes innovation while also incentivizing responsibility and security,

fosters international collaboration on key safety issues, and encourages careful consideration of how AI is deployed for the benefit of society. From there, Demis advocates for a new framework frontier AI standards. One, he suggests, that could establish a new standards body, modeled on a federally overseen public-private partnership or self-regulation organization, much like the financial industry regulatory authority or FINRA. The standards body, he suggests, would be responsible for developing assessment protocols, and working with appropriate federal agencies in the U.S. national labs to to conduct testing in areas relevant to national security. A model, he says, would qualify as frontier class if it meets certain thresholds on a set of benchmarks determined by the

standards body and regularly updated to keep pace with evolving AI capabilities. He suggests that the frontier labs would share models voluntarily with the standards body for review up to 30 days before release, and basically, he's articulating a sort of formalization of the kind of ad hoc process that the White House has started to wander down over the last month or so. Now, many commented on the tone of optimism in Demis' piece. Chubby Kim Minismis writes, Demis Hasizabas has written a piece about AGI, and rarely has he sounded so optimistic.

The golden future of science lies ahead of us, and we are on the threshold of the singularity. Microsoft's Mustafa Suleiman wrote, fully support this important proposal from Demis Hasabas. The time for us all to act is now. Economist Alex Emas, who we heard from before, wrote, Demis' proposal for a frontier model's standards body is an important blueprint for governance as AI begins to impact

almost every aspect of society. Developing a rigorous pre-release testing framework is critical for the collective stewardship of this transformative technology. Others are less sure. Sciho writes, TLDR, maybe we should regulate AI. Corpos slop patted with techno messianism. Getting at the same idea with fewer made-up words, investor Andrew Steinwald wrote, Demis is a super genius and I respect the hell out of him. But having the U.S. regulate anything around AI just spells doom for the entire ecosystem. If the U.S. does regulate AI, then we can kiss our slight lead goodbye and welcome our future Chinese AI overlords. A few days ago, Google DeepMind's Seb Krier wrote something that I think does a lot to explain different people's reactions to this conversation. He wrote,

The reactions to prescriptions about AGI have less to do with being AGI pilled or not, and more about whether you're more concerned with AIs taking over, X-risk, companies taking over, anti-capitalism, or the abuse of power by empowered governments, anti-authoritarianism. Singularity University's Ramaz Nam writes, I'm firmly in the third case. camp. And making the connection back to AI 2040, he writes, the basic problem with AI 2040 is that it uses a fictional and speculative doomsday scenario to justify very real surveillance and control capabilities that governments would be certain to use in authoritarian ways well beyond AI safety. It warrants against concentration

of AI power, but its policy proposals serve to increase the power of the most powerful entities on planet Earth. It completely sacrifices freedom in ways guaranteed to cause harm in an effort to forestall a made-up threat. It proposes safety tools that give governments unprecedented capabilities to monitor, suppress, and manipulate. These tools are intended only to stop the development of overly powerful AI, but once they exist, governments will use them as they please. The authors mean well, but are so convinced of a fictional and unproven threat that they do real harm to the world to prevent it. It would create a world that is less free and less safe in the name of safety for a threat that may not even exist. So clearly there is no consensus here. So how do we make

sense of where we are? Honestly, the short of it, is that I think even the societal discourse conversation is that I think that there is reason for optimism in the discourse itself. Having watched the AI social discourse, since basically the moment that Chatchipetee launched, the directionality is extremely clear. The conversation has at almost every turn proceeded to more nuance, more epistemic humility, less a priori prescriptiveness, more openness to possibility, and this last one might just be a vector of more time having passed, more interest in an adherence to the facts as they're actually showing themselves,

rather than what people imagined would happen. Look, even the Anthropic ad that I was lambasting at the beginning of this show is trying to drag itself towards optimism, even if I'm not sure it succeeds in practice. In short, I think that the context for useful conversations about AI risks and AI challenges and AI concerns is much better than it has previously been, and that the discourse is much more likely to produce actually useful advancement rather than just vague hand-waving notions of threats or overly dramatic responses. And whatever the context is, it's clear that more people are going to get involved in this conversation. For example, the Vatican is about to host what is effectively a conclave on pro-human

AI, featuring Nobel laureates, AI experts, and researchers. If this had been three years ago, I would probably cringe at this, but given where we are today, I'm actually interested to see what they talk about. So there you go. In spite of myself, even in this part of the AI discourse that I historically have had huge issues with, I find more room for optimism than I might have thought. Anyways, friends, that is going to do it for today's AI Daily Brief. Appreciate you listening or watching as always, and until next time, peace.