Earlier this year, cybersecurity researchers discovered a vulnerability in PHP, an open-source coding language used in roughly 70% of the world's websites, that had been lying dormant for a long time, and if exploited, could have led to disaster. And the researchers only understood the extent of this bug through the use of frontier AI models. Today, we talk to two staffers at Calif (CEO Thai Duong and engineer Bruce Dang), the cybersecurity firm that was among the first to discover the PHP vulnerability. Their firm partners with the major AI labs and neoclouds, and they help these companies test models and look for vulnerabilities in their infrastructure. Duong and Dang tell us how Calif uncovered the PHP hack, what the firm exactly sells, and what the future of cybersecurity looks like in the age of AI.

Read more:
How AI Is Making Cyberattacks a Bigger Threat
Japan’s Cyberattack Surge Tests Its Push to Strengthen Defenses

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It has been a big week for the AI trade — we've seen wobbles in the market, many of them in response to headlines like the Anthropic S-1 and earnings from the hyperscalers (Oracle, Microsoft, etc.). So what does Wall Street make of all the news, and how are they processing an increasing sense that the laws of the economy barely apply to AI? Today, we speak with Alexander 'Alty' Altmann, global head of equities tactical strategies at Barclays, and he helps us make sense of how Wall Street really feels about the AI trade right now. We also talk about the KOSPI-fication of the S&P 500, if there are any historical precedents for the capex going into the AI buildout, and if AI is really immune to interest rates.

Read More: Microsoft Reports Rising Cloud Sales That Show Payoff From AI

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It's obvious that things are getting more expensive, and there are plenty of reasons behind the surge in prices — whether it's wars or inflation or companies padding their profit margins. But with the release of AI agents like Meta's Muse, tech companies are promising consumers that agents will start saving them tons of money by finding the best deals. According to today's guest, Lindsay Owens, the history of price gouging does not bode well for claims that things might get cheaper because of new technology, and research conducted by her think tank Groundwork Collaborative shows that a number of consumer facing agents end up serving customers more expensive items after learning more about their financial situation. Her new book Gouged: The End of a Fair Price — and What That Means for Your Wallet gets into the history of how companies got away with charging more for their goods, through means like data collection and surveillance. Today we talk to Owens about how AI agents are already changing the idea of a fair price, all the pre-AI ways that companies price gouged, and her new book.

Read more:
Uber Wins Bid to Dismiss £250 Million Black Cab Driver Suit
Ryanair CEO Predicts Historic Jump in Air Fares Next Year

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