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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The UK government has announced a strategic partnership with OpenAI focused on joint research into AI safety and potential investments in British AI infrastructure, including new data centers. OpenAI may also expand its London office. Prime Minister Keir Starmer has said the goal is to position the UK as a global leader in AI. According to Technology Secretary Peter Kyle, the government wants AI to drive improvements in healthcare, education, and economic growth. Plans include investing £1 billion in computing power. The coalition is banking on AI to boost productivity by 1.5 percent per year, which could add £47 billion to the economy over the next decade.

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“The result of this is the model’s not just going to be better than a physicist. It’s going to be better than a superposition of somebody who’s at the top in physics, computer science and data science.”

That’s how Jonathan Siddharth, CEO of Turing AI, describes the shift happening in advanced AI model training. Instead of relying on low-cost clickworkers, companies like Scale AI, Toloka, and Turing are now turning to highly skilled experts in fields like physics, biology, software engineering, and finance. The goal is to create complex, domain-specific tasks that mirror real human thought processes - whether that means writing code, validating physical theories, or analyzing simulations. These specialized datasets are then used to train the new reasoning models at major companies like OpenAI.

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Nvidia announced at the RISC-V Summit China that it will open up its CUDA platform to support RISC-V processors. For the first time, CUDA will extend beyond x86 and Arm to include an open instruction set architecture. According to Nvidia, RISC-V CPUs can now serve as the central processing component in CUDA systems, including Jetson modules and specialized edge devices. The company showcased a reference architecture pairing RISC-V CPUs for operating system and logic tasks with Nvidia GPUs for compute workloads and DPUs for networking. This move could help expand CUDA's reach in markets like China.

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AI in practice

Anthropic confirms technical bugs after weeks of complaints about declining Claude code quality

AI and society

Anthropic settles landmark AI copyright lawsuit for at least $1.5 billion

AI in practice

Microsoft presents its first large AI models and signals greater independence from OpenAI

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