Author HubMatthias Bastian

Matthias is the co-founder and publisher of THE DECODER, exploring how AI is fundamentally changing the relationship between humans and computers.
AI research
Update

So-called reasoning models are more efficient but not more capable than regular LLMs, study finds

AI in practice

Google leans on token metrics, not revenue, adding to bubble talk about AI growth

AI and society

The long-predicted deepfake dystopia has arrived with Sora 2

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AI and society
Short

OpenAI is in early talks with investors about a massive funding round that could push the company's valuation to around $750 billion, according to The Information. The company could raise tens of billions of dollars, potentially as much as $100 billion.

The discussions are still in their early stages, and nothing is set in stone. At this valuation, the deal would mark a 50 percent jump from OpenAI's last share sale in October.

Amazon is also in talks to invest $10 billion or more. It's the kind of circular AI deal that's become common: Amazon hands OpenAI cash, and OpenAI turns around and spends it on Amazon's chips and cloud services.

According to The Information, OpenAI has reached an annualized revenue run rate of $19 billion, keeping the company on pace to hit its $20 billion target by year's end. The company is projecting $30 billion in revenue for 2026, rising to around $200 billion by 2030. But these ambitious growth targets come with an enormous cash burn of roughly $26 billion for this year and next.

AI and society
Short

Renowned mathematician Terence Tao has proposed a new way to think about AI capabilities. On Mastodon, Tao questions whether true "artificial general intelligence" (AGI) is actually achievable with current AI tools. His alternative: "artificial general cleverness" (AGC).

According to Tao, "general cleverness" means the ability to solve complex problems using partly improvised methods. These solutions might be random, rely on raw computing power, or draw from training data. That makes them something other than true "intelligence," but they can still succeed at many tasks, especially when strict testing procedures filter out incorrect results, he says.

"This results in the somewhat unintuitive combination of a technology that can be very useful and impressive, while simultaneously being fundamentally unsatisfying and disappointing."

Terence Tao

In humans, cleverness and intelligence are linked, but in AI they're decoupled, Tao argues. The mathematician has recently spoken positively about how AI has sped up his own work.

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AI in practice
Short

The experimental productivity assistant called CC comes from Google Labs and runs on Gemini. After signing up, CC connects to Gmail, Google Calendar, Google Drive, and the internet to understand your daily routine. AI agents with access to private data like this raise familiar security concerns.

Every morning, CC sends an email summary called "Your Day Ahead." It pulls together your appointments, important tasks, and relevant updates, like upcoming bills or deadlines. The agent can also draft emails and create calendar entries when needed. Users control CC by replying to its emails, sharing preferences, or asking it to remember ideas and tasks.

CC is launching as an early test for users 18 and older in the US and Canada. You'll need a personal Google account plus a subscription to Google AI Ultra or another paid service. Those interested can sign up for the waitlist on the Google Labs website.

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AI in practice
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Google has released an update for Gemini 2.5 Flash Native Audio that makes voice assistants more capable. The model now handles complex workflows better, follows user instructions more precisely, and conducts more natural conversations. Compliance with developer instructions jumped from 84 to 90 percent, and call quality in multi-step conversations has also improved.

According to Google, the updated audio model scores 71.5 percent accuracy on function calls in the ComplexFuncBench benchmark, putting it ahead of OpenAI's gpt-realtime at 66.5 percent. It's worth noting, though, that Google likely didn't test against the latest realtime version, which OpenAI released just yesterday.

The update is now available in Google AI Studio, Vertex AI, Gemini Live, and Search Live. Google Cloud customers are already using the technology, and developers can test the model through the Gemini API.

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AI in practice

OpenAI's new ChatGPT image model matches Google's Nano Banana Pro on complex prompts

AI research

More AI agents isn't always better, new Google and MIT study finds

AI in practice

GPT-5.2 lands to top Google's Gemini 3 in the AI benchmark game just four weeks after GPT-5.1

Google News