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In a single day, OpenAI laid out the two pillars of its next empire: first, it signed a sweeping deal with AMD to secure no less than six gigawatts of GPU compute, an agreement that could give it up to a 10% stake in AMD if certain milestones are met. Then, on stage at DevDay, it unveiled a new layer of mini-apps that live inside ChatGPT, turning the chatbot into something much bigger: not a product, but a platform. Together, these moves define OpenAIs ambition with perfect clarity: control the power and control the interface. Power, literally The AMD deal is more than a supply contract: its a signal. Six gigawatts of GPU compute by 2026, the first one-gigawatt plant in construction, and stock warrants worth up to 160 million shares at a cent apiece if performance goals are hit. Thats not procurement: its vertical integration through financial engineering. By embedding itself in AMDs roadmap for the next-generation MI450 chips, OpenAI is locking in compute capacity at a planetary scale. Its also buying influence: the right to co-design, the ability to shape pricing, and a hedge against Nvidias dominance. Compute has become the new oil, and OpenAI just secured drilling rights. From app to ecosystem Then came DevDay. On stage, Sam Altman introduced mini-apps from Spotify, Canva, Expedia, Zillow, and others, micro-interfaces that live inside ChatGPT. The goal: let users interact with third-party services without ever leaving the chat, OpenAIs bid to make ChatGPT your conversational operating system. Think of it as the app store without the store. No icons, no screens, just conversation. You ask ChatGPT to plan a trip, it calls Expedia; you ask about housing, it queries Zillow; you design a logo, and Canva appears, seamlessly. The interface disappears. The agent decides. This is not a super-app in the Asian sense. Its something deeper: an orchestration layer that sits above every other digital service, turning natural language into the default control surface for your digital life. If it works, ChatGPT stops being a chatbot and becomes the front end of the internet. Weve been here before Anyone who has watched the history of Silicon Valley knows how this story goes. Platforms begin as enablers and end as gatekeepers. In the 1980s, Microsoft used Windows to control distribution. In the 2000s, Google turned search into an auction for attention. In the 2010s, Apple and Meta built app stores and ad ecosystems that extracted rents from everything that passed through them. Now, the interface itself, the conversation, becomes the platform. And the pattern is repeating. When ChatGPT suggests which app to use, who decides which ones appear? Zillow proudly claims to be the exclusive real-estate partner inside ChatGPT today. But what happens when competitors arrive, and we all know they will? Will placement depend on merit, or on bidding? Will we see a market where companies pay for their slot in the agents recommendations, as SEO for AI conversations? History suggests we will. The difference is that, this time, theres no search results page to scrutinize. The decision happens invisibly, in the flow of a chat. The illusion of agency For users, the promise is pretty seductive and sounds apparently very well. You no longer need to juggle tabs or apps, the agent does it all, it even starts the conversations. But the price of convenience is asymmetry. When you ask ChatGPT to find the best flight, youre not searching, youre delegating. And we all know that delegation without transparency leads to dependence. Who audits the logic behind your agents choices? What data informs them? What economic incentives bias them? The more the interface simplifies, the more opaque the underlying process becomes. Weve spent two decades complaining about algorithmic black boxes in search and social media. Now were about to build one around every digital decision we make. Compute as a barrier, distribution as capture The AMD alliance and the mini-apps announcement are two halves of the same strategy. Compute is the barrier to entry, distribution is the mechanism of capture. By securing vast energy and chip capacity, OpenAI ensures that no competitor can easily match its scale. By embedding itself as the interface to other apps, it ensures that even if competitors exist, theyll have to go through its ecosystem to reach users. Its the classic Silicon Valley playbook, executed with breathtaking speed and a layer of AI pixie dust. Altman learned from the best. He watched Apple, Google, and Facebook turn control of interfaces into control of economies. Now hes applying the lesson to the age of agents: own the conversation, and you own the user. The energy question The AMD deal also underscores an uncomfortable truth: large-scale AI is energy-intensive by design. Six gigawatts is roughly the output of six nuclear reactors. Training and running advanced models already consume staggering amounts of power. What happens when the worlds most popular interface is also one of its biggest electricity buyers? OpenAI is not just building software: its building infrastructure with a carbon footprint and geopolitical consequences. When a private company starts locking up gigawatts of generation capacity, regulators should treat it not as a startup, but as a utility. The governance gap Every platform shift creates governance lags: rules arrive years after dominance is established. Thats how we ended up with app-store monopolies, ad-tech cartels, and search markets worth trillions, but accountable to no one. ChatGPTs platformization is happening faster than any previous transition. And regulators, distracted by content moderation and copyright disputes, seem completely unprepared. The risks are not theoretical. Once an agent acts on your behalf (booking travel, recommending purchases, even making hiring decisions) it will be impossible to disentangle convenience from manipulation. The more we outsource judgment to machines, the easier it becomes for those who own the machines to shape our behavior. What happens next The momentum is undeniable. OpenAI is buying computing, embedding partners, and positioning ChatGPT as the front end of everything. The financial press reads it as a triumph of execution. The tech industry reads it as the dawn of agentic computing. Both may be right. But beneath the excitement, theres a warning written in the footnotes of tech history. Every time a platform promises frictionless integration, it ends up centralizing power. Every time we think this one will be different, it isnt. Im not one more European obsessed with regulating everything, Im just old enough to remember several previous experiences akin to this one. The world doesnt need another operating system that mediates access to everything: it needs transparency, interoperability, and competition. If we dont insist on them now, we may find ourselves living inside the most powerful black box ever built: one that doesnt just answer our questions, but quietly decides which ones were allowed to ask. Be warned.
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E-Commerce
If every afternoon, like clockwork, you find yourself at the vending machine punching in the code for your daily Diet Coke, you may want to rethink your selection. According to a newly released study, the popular drink may be doing damage to one of your body’s most important organs. The study, which was recently presented at the 2025 United European Gastroenterology Week conference in Berlin, involved tracking the beverage consumption habits of 123,788 participants. It found that just nine ounces of sugar-sweetened beverages (SSBs), such as soda, can increase the risk of liver disease known as metabolic dysfunction-associated steatotic liver disease (MASLD) by about 50%. However, when it comes to diet sodas, the findings are even worse. When it comes to diet drinks made with artificial sweeteners, the risk rises for 60%. At a 10.3 year follow-up, 108 of the participants had died from liver-related causes. However, while no significant association was found for the regular soda drinkers, consumption of low- or non-sugar-sweetened beverages (diet drinks) was linked to a higher rate of liver-related death. Both drinks were linked to higher liver fat content, as well. SSBs have long been under scrutiny, while their diet alternatives are often seen as the healthier choice. Both, however, are widely consumed and their effects on liver health have not been well understood,” lead author of the study, Lihe Liu, said in a press release. Liu continued, Our study shows that LNSSBs were actually linked to a higher risk of MASLD, even at modest intake levels such as a single can per day. These findings challenge the common perception that these drinks are harmless and highlight the need to reconsider their role in diet and liver health, especially as MASLD emerges as a global health concern. Diet beverages have also been associated with weight gain, insulin confusion, and even cancer. Regardless, Diet Coke has surged in popularity in recent years. Some social media users have even begun referring to the trendy habit as a “fridge cigarette,” given it’s a habit widely known to be unhealthy, but that just seems to hit the spot anyway. Experts say that it’s best to avoid consuming both drinks with any regularity. The safest approach is to limit both sugar-sweetened and artificially sweetened drinks,” Liu says. “Water remains the best choice as it removes the metabolic burden and prevents fat accumulation in the liver, whilst hydrating the body.
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E-Commerce
The U.S. National Highway Traffic Safety Administration said on Thursday that it is opening an investigation into 2.88 million Tesla vehicles equipped with its Full Self-Driving system over more than 50 reports of traffic-safety violations and a series of crashes. The auto safety agency said FSD an assistance system that requires drivers to pay attention and intervene if needed has “induced vehicle behavior that violated traffic safety laws.” The agency said it has reports of Tesla vehicles using FSD driving through red traffic lights and driving against the proper direction of travel during a lane change. RECALL COULD FOLLOW IF NHTSA FINDS SAFETY RISKS In total, NHTSA is reviewing 58 reports of issues involving traffic safety violations when using FSD, including 14 crashes and 23 injuries. The new investigation comes amid growing scrutiny of Tesla’s advanced driver assistance system from Congress and weeks after a new NHTSA administrator was confirmed. Tesla, which did not immediately respond to a request for comment, issued a software update to FSD this week. NHTSA said it has six reports in which a Tesla vehicle, operating with FSD engaged, “approached an intersection with a red traffic signal, continued to travel into the intersection against the red light and was subsequently involved in a crash with other motor vehicles in the intersection.” NHTSA said four crashes resulted in one or more injuries. The investigation – a preliminary evaluation – is the first step before the agency could seek a recall of the vehicles if it believes they pose an unreasonable risk to safety. A driver in Houston in 2024 told NHTSA that FSD “is not recognizing traffic signals. This results in the vehicle proceeding through red lights, and stopping at green lights.” The complaint added: “Tesla doesn’t want to fix it, or even acknowledge the problem, even though they’ve done a test drive with me and seen the issue with their own eyes.” NHTSA also said it will review FSD behavior when approaching railroad crossings. Last month, Democrat Senators Ed Markey and Richard Blumenthal cited a growing number of reported near-collisions in urging the agency to investigate. Tesla’s FSD, which is more advanced than its Autopilot system, has been under investigation by NHTSA for a year. In October 2024, the agency began an inquiry into 2.4 million Tesla vehicles equipped with FSD after four reported collisions in conditions of reduced roadway visibility, such as sun glare, fog or airborne dust, including a 2023 fatal crash. Tesla says FSD “will drive you almost anywhere with your active supervision, requiring minimal intervention” but does not make the car self-driving. Tesla’s other automated vehicle features have also drawn agency scrutiny. In January, NHTSA opened an investigation into 2.6 million Tesla vehicles over reports of crashes involving a feature that lets users move their cars remotely. NHTSA is also reviewing Tesla’s deployment of self-driving robotaxis in Austin, Texas, launched in June. David Shepardson, Reuters
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