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Matthias Bastian

Matthias is the co-founder and publisher of THE DECODER, exploring how AI is fundamentally changing the relationship between humans and computers.
Read full article about: OpenAI rolls out age prediction to apply teen safeguards in ChatGPT

OpenAI is rolling out age prediction in ChatGPT to identify when an account likely belongs to someone under 18, so the system can apply the right experience and safeguards for teens. The model analyzes behavioral patterns like usage times, how long the account has been active, and the age users entered at signup. When someone gets flagged as a minor, ChatGPT automatically enables safety features that block, among other things, graphic violence, sexual roleplay, depictions of self-harm, and content about extreme beauty standards.

The move follows OpenAI's announcement that adults will get access to some of this previously restricted content, making age verification a necessary first step. It also comes after cases of teenagers developing dangerous dependencies on AI chatbots, some with fatal outcomes.

Adults who get incorrectly flagged as minors can verify their age by taking a selfie through the Persona service. Parents get additional controls, including rest periods and notifications when the system detects signs of acute distress. The feature launches in the EU in the coming weeks. More details on OpenAI's help page.

Read full article about: Deepmind and Anthropic CEOs expect AI to hit entry-level jobs and internships in 2026

Demis Hassabis (Google Deepmind) and Dario Amodei (Anthropic) are already seeing early signs of AI's impact on the job market. Speaking at the World Economic Forum, Hassabis said entry-level jobs and internships could take a hit this year, something he's already noticing at Deepmind. In the near term, new and potentially more meaningful jobs could emerge, Hassabis said, but once AGI (artificial general intelligence) arrives, we're in uncharted territory. He criticized governments and economists for failing to grasp the scale of the changes ahead.

Amodei is sticking with his prediction that half of office jobs for young professionals could vanish within one to five years. Like Hassabis, he says he's already seeing this at Anthropic, where the company expects to need fewer junior and mid-level employees going forward. AI could outperform humans at everything within one to two years, he says, but the labor market is slow to react. His concern: the exponential pace of development will outstrip our ability to adapt.

Read full article about: Google's Gemini API requests more than double in five months, jumping from 35 billion to 85 billion

Google's Gemini API business is taking off. According to The Information, API requests shot up from around 35 billion in March to roughly 85 billion in August, more than doubling in just five months. The spike started after Google shipped its "breakthrough" model, Gemini 2.5, this spring, and continued climbing with Gemini 3. Gemini 2.5 is even turning a profit on operating costs, though not on research and development. Google plans to break down the numbers during its quarterly earnings call on February 4.

On the enterprise side, Google says Gemini Enterprise now has eight million subscribers across 1,500 companies, with another million signing up online. Reviews are mixed, though. Some users like how it connects to company data and find it handy for research and documents; internal surveys at one consulting firm show 83 percent satisfaction. But others say the product works fine for simple questions while falling short on specialized tasks and custom app development.

OpenAI says it could have grown even faster if only it had more compute

OpenAI says more compute means more revenue. The company’s new business figures show both tripling year over year, but with cash outflow expected to hit 115 billion dollars by 2029, the formula needs to hold up.

Read full article about: South Koreans now spend more on AI subscriptions than Netflix each month

South Koreans now spend more per month on AI subscriptions than on Netflix. According to Hankyung Aicel, payments for seven AI services, including ChatGPT and Gemini, hit an estimated 80.3 billion won (roughly $55-60 million) in December 2025. That's more than the average monthly Netflix subscription revenue in Korea during 2024, which came in at 75 billion won (around $50-55 million). One important caveat: the AI figure includes business payments, while Netflix is a consumer-only service.

Credit card payments for AI services jumped from 52,000 transactions in January 2024 to 1,666 million in December 2025. Private customers paid an average of 34,700 won (about $24), while businesses spent 107,400 won (roughly $74). ChatGPT dominated with 71.5 percent of all payments, followed by Gemini at 11.0 percent and Claude at 10.7 percent. According to Hankyung Aicel CEO Kim Hyung-min, Korea's subscription market continues to grow, and generative AI is becoming a regular subscription product.

For context: Netflix reports revenue per subscription of around $7 for Asia-Pacific, compared to roughly $17 in the US and Canada. That's significantly higher revenue per subscription per month.

Read full article about: Google upgrades AI Overviews with Gemini 3 Pro for complex queries

Google is rolling out Gemini 3 Pro to power AI Overviews in search. The system now automatically routes complex queries to Google's most powerful language model, while faster models still handle simpler questions, according to Robby Stein, product manager for Google Search.

Google Search Product Manager Robby Stein announced the Gemini 3 Pro integration for AI Overviews. | Stein via X

This intelligent routing already works in AI Mode, Google's AI-powered search chat, and is now expanding to AI Overviews, the quick answers that appear directly below search queries. The feature is available worldwide in English, but only for paying Google AI Pro and Ultra subscribers.

AI Overviews and similar services from other companies have faced criticism for confidently delivering incorrect answers. While source citations create an appearance of trustworthiness, users rarely verify them. More capable models can reduce errors but won't eliminate them.

Read full article about: GPT-5.2 Pro solves another Erdős problem while a new database reveals most attempts still fail

OpenAI's GPT-5.2 Pro has helped solve another Erdős problem. Neel Somani used the AI model to crack Erdős problem #281 from number theory. Mathematician Terence Tao calls this "perhaps the most unambiguous instance" of an AI solving an open mathematical problem. While earlier proofs may have influenced the model's answer, Tao confirms GPT-5.2 Pro's proof is "rather different".

via Neel Somani

But Tao warns against a skewed perception of AI capabilities. Negative results rarely get published, while positive results go viral. A new database by Paata Ivanisvili and Mehmet Mars Seven tracks AI attempts at Erdős problems, showing actual success rates of just one to two percent, clustered around easier problems.

Still, AI serves as a useful tool here, even if moderately difficult Erdős problems might remain out of reach, according to Tao. The first autonomous solution to an Erdős problem confirmed by Tao dates back to January 4, 2026.

Read full article about: Elon Musk proposed his children should inherit control of human-like AI, OpenAI claims

Elon Musk's power fantasies were already extreme a decade ago. According to OpenAI, Musk wanted to amass $80 billion during the company's founding phase to build a self-sufficient city on Mars. He used this goal to justify why he needed a majority stake in OpenAI.

During discussions about potential succession, Musk also caught other participants off guard by suggesting his children should take control of AGI: AI systems capable of matching or surpassing human intelligence across all domains.

Musk has at least 14 children as of January 2026 and has publicly stated that declining birth rates threaten civilization. He believes that educated or "smart" people should have more children, a view that can be categorized as eugenic and aligned with scientific racism. His desire to pass control of human-like AI to his children fits squarely within this worldview.