Hub Artificial Intelligence

Artificial intelligence is either a field of research, the most important technical innovation of mankind, its downfall – or simply a pipe dream from Silicon Valley. Can machines really be intelligent? What is intelligence anyway? What opportunities does AI technology offer, and what are the risks? From neural networks to the science fiction vision of super AI, from deepfakes to AI surveillance: THE DECODER delivers the latest AI news and information on all facets of artificial intelligence.

Artificial Intelligence

OpenAI launches new ChatGPT agent that automates complex tasks for Pro, Plus, and Team

Artificial Intelligence

OpenAI releases its first open-weight language models since GPT-2 with GPT-oss

Artificial Intelligence

Google upgrades Gemini with Deep Think and flags early warning risks

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Artificial Intelligence
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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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Google’s "Nano Banana" image editing model has gone viral, pushing the Gemini app to the top of the app store charts. In the US, Canada, the UK, and Germany, Google Gemini now holds the number one spot, ahead of ChatGPT at number two.

Gemini in first place in Germany on September 15, 2025 | Image: THE DECODER

According to Google, Gemini reached nearly 450 million monthly active users in July, a number that has likely increased since then. During this time, the "Nano Banana" model, also known as "Gemini 2.5 Flash Image Generation," was used more than 500 million times.

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OpenAI plans to give Microsoft a much smaller share of its revenue going forward, according to a report from The Information.

The company has reportedly told some investors that Microsoft's cut — currently just under 20 percent — will drop to around 8 percent by 2030. That shift would let OpenAI hold on to more than $50 billion in additional revenue to cover its massive computing costs. Under the original deal, Microsoft was guaranteed 20 percent through 2030.

In return, sources told The Information that Microsoft will get one-third of the restructured OpenAI entity, with another portion going to the nonprofit side. Microsoft still will not have a board seat. The two companies are also said to be negotiating over server expenses and contract terms around the potential use of artificial general intelligence (AGI).

It's not yet clear whether the recently announced, non-binding agreement between the two companies already reflects these revenue changes.

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Google DeepMind has introduced a new language model called VaultGemma, designed with a focus on privacy. It is the largest open model to date trained from scratch with differential privacy, containing 1 billion parameters.

Normally, large language models can memorize parts of their training data, including sensitive information like names, addresses, or entire documents. Differential privacy avoids this by adding controlled random noise during training, making it statistically impossible to trace the model's outputs back to specific examples. In theory, even if VaultGemma were trained on confidential documents, those documents could not be reconstructed later.

According to Google, early tests confirm that the model does not reproduce training data. The tradeoff is performance: its output is roughly comparable to non-private LLMs released about five years ago.

The model weights are openly available on Hugging Face and Kaggle.

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Elon Musk's AI company xAI has laid off about 500 employees, including a third of its data annotation team. These workers had been training the company's chatbot Grok by sorting and explaining raw data. According to internal emails seen by Business Insider, xAI is eliminating most roles for so-called generalist tutors and plans to hire more specialists instead. Employees will continue to be paid through the end of their contracts, or no later than November 30, but lost access to company systems immediately. Just before the cuts, staff were required to take skills tests that were supposed to determine their future roles. On X, the company said it plans to expand its team of expert tutors in fields like science, medicine, and finance "tenfold." The idea is to give Grok deeper domain knowledge, a move similar to practices at other AI firms, which often outsource this work to external contractors. As a result, low-cost mass data annotation work is beginning to lose its role, gradually being replaced by the very AI systems it helped build.

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AI research

OpenAI outperforms humans and Google at the world's top collegiate programming contest

AI in practice

New data from OpenAI and Anthropic show how people actually use ChatGPT and Claude

AI and society

Leading AI chatbots are now twice as likely to spread false information as last year, study finds

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