TLDR AI 2025-11-11

You want AI to become part of your organizational DNA - and that means enabling every department to build out their own use cases, without IT gatekeepers standing in the way. But it shouldn't mean an ungoverned free-for-all.

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xAI will host a hackathon on December 6-7. Participants will receive early access to experimental models. The company is working on a feature called Grok Code Remote to align with industry trends towards cloud-based code execution. It will allow users to run code in remote environments directly from the web.

OpenAI forecasts that it won't turn a profit until 2030, while Anthropic expects to break even for the first time in 2027. OpenAI is also expected to burn roughly 14 times as much cash as Anthropic before turning a profit. The two most valuable AI startups are taking vastly different approaches to growth. OpenAI is investing heavily in chips and data centers. Anthropic is taking a more cautious approach, making sure that costs grow more in line with revenue.

OpenAI's latest code updates reference a general availability date of November 24 for the GPT-5.1 family for Enterprise accounts. Plus and Pro users may gain access to the models even earlier, possibly within the coming week. GPT-5.1 Thinking may currently be testing under the name Polaris Alpha on platforms such as OpenRouter. Polaris Alpha has a 256k context window and quite good performance.

AI has reached 1.2 billion users in under three years, marking the fastest technology adoption in human history. However, the Global North's adoption rate is nearly double that of the Global South. The next 1–2 billion users may come easily, but adoption is expected to plateau afterward because the remaining ~4 billion people lack electricity or internet access. Low-resource languages create an additional barrier: half the web is in English, even though only 5% of people speak it natively.

Nvidia, currently valued at $4.5 trillion, is the most valuable company on Earth and the dominant supplier of AI chips. A pattern of fear around the company is impacting policy discussion. There are claims that the major AI companies disagree with Nvidia's policy stances, but are unwilling to speak out because Nvidia has the power to undermine their business. This article looks at the evidence of such claims.

IT complexity can drive costs up across your company. Intelligent IT automation is key to taming technology chaos. Get the insights you need from the IBM Institute for Business Value. 👉 Read the IBV report

Egocentric-10K is a hand visibility and active manipulation data set with 10,000 hours of video. It contains 192,900 video clips of 2,138 workers completing tasks in real factories. A video showing examples of some of the clips is available in the repository.

Moonshot AI's Kimi K2 is a Mixture-of-Experts model with 32 billion activated parameters and 1 trillion total parameters. It achieves state-of-the-art performance in frontier knowledge, math, and coding among non-thinking models and also has agentic abilities. Kimi-K2-Base and Kimi-K2-Instruct were recently open sourced. This thread contains a discussion with the team at Moonshot AI.

Omnilingual ASR is a speech recognition system that supports over 1,600 languages, with hundreds never before covered by other ASR technology. New languages can be added with just a few paired examples without specialized expertise or large datasets. Omnilingual ASR is designed for broad accessibility - it is aimed at making speech technology more inclusive and adaptable for communities and researchers worldwide.

There is now almost no time to build a company and scale it. There are two ways an AI application founder can make money: make a flash-in-the-pan app that generates a ton of cash over a short period, or make a good enough app to get acquired by one of the big players. The situation is highly unstable. The best way to play is to find an application niche in a highly specialized field with extremely unique and specific data barriers.

Nano Banana 2 access was briefly leaked, and image samples were widely circulated across social media. The model appears capable of remastering low-quality images and following detailed text prompts. There is still no confirmation of the release date, but a launch is likely to be imminent. The leaked samples are available in the article.

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Intel's CTO Sachin Katti, who had led the chipmaker's AI efforts since January, has departed for OpenAI, where he will design and build compute infrastructure.

Anthropic will be the first to use a 1-GW data center early next year.

A senior researcher warned that society is in a “honeymoon phase” with AI before widespread job automation and said AI companies need to alert the public about which jobs will soon become obsolete.

Lovable has surged to nearly 8 million users and sees 100,000 new projects built daily.