DOGE dominated the news this year as Elon Musk's operatives shook up several US government agencies. Since the beginning of the Trump administration, the so-called Department of Government Efficiency (DOGE), the brainchild of billionaire Elon Musk, has gone through several iterations, leading periodically to claims-- most recently from the director of the Office of Personnel Management--that the group doesn't exist, or has vanished altogether. Many of its original members are in full-time roles at various government agencies, and the new National Design Studio (NDS) is headed by Airbnb cofounder Joe Gebbia, a close ally of Musk's. Even if DOGE doesn't survive another year, or until the US semiquincentennial--its original expiration date, per the executive order establishing it--the organization's larger project will continue. DOGE from its inception was used for two things, both of which have continued apace: the destruction of the administrative state and the wholesale consolidation of data in service of concentrating power in the executive branch.

Speaking with popular AI content creators convinces me that "slop" isn't just the internet rotting in real time, but the early draft of a new kind of pop culture. Lately, everywhere I scroll, I keep seeing the same fish-eyed CCTV view: a grainy wide shot from the corner of a living room, a driveway at night, an empty grocery store. JD Vance shows up at the doorstep in a crazy outfit. A car folds into itself like paper and drives away. A cat comes in and starts hanging out with capybaras and bears, as if in some weird modern fairy tale. This fake-surveillance look has become one of the signature flavors of what people now call AI slop. For those of us who spend time online watching short videos, slop feels inescapable: a flood of repetitive, often nonsensical AI-generated clips that washes across TikTok, Instagram, and beyond. For that, you can thank new tools like OpenAI's Sora (which exploded in popularity after launching in app form in September), Google's Veo series, and AI models built by Runway. Now anyone can make videos, with just a few taps on a screen.

The era of hype first, think later. Demis Hassabis, CEO of Google DeepMind, summed it up in three words: "This is embarrassing." Hassabis was replying on X to an overexcited post by Sébastien Bubeck, a research scientist at the rival firm OpenAI, announcing that two mathematicians had used OpenAI's latest large language model, GPT-5, to find solutions to 10 unsolved problems in mathematics. "Science acceleration via AI has officially begun," Bubeck crowed. Put your math hats on for a minute, and let's take a look at what this beef from mid-October was about. Bubeck was excited that GPT-5 seemed to have somehow solved a number of puzzles known as Erdős problems.

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The Federal Communications Commission said it would ban new foreign-made drones, including Chinese-made drones such as those from DJI and Autel.

The US economy is pumped up on tech-bro vanity. I f AI did not change your life in 2025, next year it will. That is one of few forecasts that can be made with confidence in unpredictable times. This is not an invitation to believe the hype about what the technology can do today, or may one day achieve. The hype doesn't need your credence.

The government at a Cabinet meeting Tuesday adopted its first basic plan on the development and utilization of artificial intelligence. The basic plan stipulates that Japan will create reliable AI while balancing technological innovation and risk management, with an aim to become a country that offers the best environment for AI development and utilization. Japan lags behind not only other advanced nations but also countries with smaller economies in terms of AI development, and the gap is becoming wider year by year, it warns. In a time of both misinformation and too much information, quality journalism is more crucial than ever. By subscribing, you can help us get the story right.

Ting Cai, head of Rakuten Group's artificial intelligence team, has the task of creating AI systems that would augment the company's many businesses at a minimal cost. Rakuten Group is expanding its AI team under the stewardship of a Google veteran and building models with a focus on cost efficiency. Ting Cai, now three years into his tenure at the head of the e-commerce pioneer's artificial intelligence team, has the task of creating AI systems that would augment the company's many businesses and support the handling of commercial transactions at a minimal cost. He oversees a team that's grown to 1,000 this year and has a battery of "thousands" of Nvidia chips to work with. Tokyo-based Rakuten is wrestling with a struggling mobile business and constant competition in online shopping, both of which could get a significant boost from effective deployment of new AI tools.

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