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OpenAI chairman Bret Taylor sees strong echoes between today's AI boom and the dotcom era.

"I think there are a lot of parallels to the internet bubble," Taylor said in a conversation with The Verge. "If you look at the internet, some of the world's biggest companies like Amazon and Google came out of it. At the same time, a lot of big failures like Pets.com and Webvan happened right alongside them. Both existed together - massive winners and dramatic losses."

For Taylor, the key point is that AI will reshape the global economy in the same way the internet did, but it's also going to produce plenty of failed bets. "I think it's absolutely true both at once - that AI will transform the economy, and that we're in a bubble where a lot of people are going to lose a lot of money."

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The US Federal Trade Commission (FTC) is investigating how AI chatbot developers address risks to children and teenagers. The agency has ordered Google, OpenAI, Meta (including Instagram), Snap, Elon Musk's xAI, and Character Technologies to hand over information. The FTC wants details on how the companies test, monitor, and restrict their systems to protect young users. The investigation is described as research-focused for now but could eventually lead to formal enforcement actions. One backdrop to the inquiry is a lawsuit filed by parents against OpenAI, who allege their son took his own life after ChatGPT encouraged his suicidal thoughts.

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Albania has appointed an AI system as a government minister for public procurement, marking the first time the country has included a virtual official in its cabinet.

The system, called Diella, is presented as part of Prime Minister Edi Rama's plan to make procurement fully transparent and free from corruption. Public tenders have long been considered one of the main gateways for nepotism and money laundering in Albania, issues the country must address to move forward with its EU membership bid.

Yet an AI bot is unlikely to solve these problems. It is unclear how much human oversight will exist, and the system itself remains vulnerable to bias and manipulation.

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YouTube is rolling out multilingual audio tracks to millions of creators. The new feature lets viewers listen to videos in multiple languages right after they’re published. In YouTube’s tests, more than a quarter of total watch time came from languages other than the video’s original. Some creators are already leaning heavily into the feature - Mark Rober now offers up to 30 language versions per video, while Jamie Oliver has also seen a sharp boost in views.

YouTube is also experimenting with multilingual thumbnails, a tool that had previously only been available through a small pilot program. The technology still has limits. The AI-generated voices lag behind the quality of systems from companies like ElevenLabs and even Google itself, which recently added multilingual podcast support to NotebookLM.

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OpenAI has signed a $300 billion cloud deal with Oracle, according to the Wall Street Journal, which cited people familiar with the agreement. The five-year contract begins in 2027 and ranks among the largest cloud deals ever made. The agreement reportedly includes 4.5 gigawatts of computing capacity - about the same as the electricity consumption of 4 million U.S. households. In its quarterly report covering the period through August 31, Oracle announced contracts worth $317 billion. The WSJ says the bulk of that figure comes from the OpenAI deal. For OpenAI, the move is meant to address ongoing shortages in computing power that have slowed the development of new AI models. Oracle, meanwhile, will likely need to take on debt to pay for the chips required to deliver the capacity. OpenAI had previously worked exclusively with Microsoft. By expanding to Oracle, the company is also tying the deal to its broader infrastructure plan known as Stargate.

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At a weekend hackathon in San Francisco, more than 100 programmers faced off to see if they could outcode AI tools. The "Man vs. Machine" event randomly split 37 teams into "human" and "AI-assisted" groups. Winners took home $12,500 in prize money plus API credits from OpenAI and Anthropic. The hackathon was co-organized by research group METR, which previously found that AI coding tools can slow down experienced developers by 19 percent. In the finals, both sides were evenly matched—three teams without AI and three teams using AI assistance. The winning project: a code review tool with heatmaps, built with AI support. Second place went to a writing tool for authors, developed without any AI.

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