From the archive
AI policy sets the rules for how artificial intelligence is developed, deployed and held accountable. Follow AI regulation, copyright disputes, privacy, surveillance and government decisions affecting the technology. Our coverage explains who a proposal applies to, whether it is law or still under discussion, and what it could mean for developers, businesses and the people using AI.
Lead story
TypeSafe’s Jev is designed to return typed decisions, scores and probabilities instead of generated prose, and a new coding guide shows developers how to wire those results into real software. The important point is practical: Jev can inform a workflow, but the application still decides what happens next.
Read the report & discussion ↗Watch Desk
Xiaomi has released MiMo-V2.6, an open-weight AI family that combines frontier-level benchmark claims with unusually detailed training disclosures. The practical significance is not just another leaderboard result: developers can inspect the weights, training framework and more than 7,000 task environments under an MIT licence.
Watch Desk
Iambic Therapeutics has filed to go public while signing a multi-year research collaboration with AbbVie worth up to $710 million, putting AI-assisted drug discovery under both market and clinical scrutiny. The deal includes a $40 million upfront payment, development and sales milestones, and tiered royalties if Iambic’s programmes…
Google DeepMind Watch
Google DeepMind says companies may never fully govern increasingly capable AI systems, but they can build a deterministic perimeter around them. The argument matters because it shifts the safety debate from controlling the model itself to controlling what the model is allowed to do.
Watch Desk
Minneapolis is preparing to review its data-centre rules while a local moratorium covers larger facilities, putting AI infrastructure’s appetite for electricity and water directly into a city planning debate. The useful detail is unusually concrete: one local data centre’s monthly water use rose from about 334,000 gallons to…
Watch Desk
OpenAI, Meta and Mistral describe their AI systems in increasingly human terms, and a University of Münster study argues that this language can shape how much trust and authority people give the machines. The important point is not that chatbots use friendly words. It is that calling software…
Watch Desk
Bernie Sanders and Greg Casar have introduced legislation that would pause advanced AI development in the United States and create a Cabinet-level Department of Artificial Intelligence. The move exposes a widening argument among Democrats over whether the answer to frontier AI is a brake, tighter export controls or…
Watch Desk
Chicago’s mayor and a group of aldermen are backing a 12-month moratorium on new data-centre development, giving the city time to work out who pays for the AI infrastructure boom and who gets a say. The proposal matters because it puts electricity, water, pollution and neighbourhood oversight at…
Berkeley BAIR Watch
A University of California, Berkeley and Princeton team has developed TANGO, an AI navigation system that lets a humanoid robot plan movement for all 29 of its joints. Tested on a Unitree G1, it reduced collisions in cluttered environments and completed narrow passages, low obstacles and floor obstacles…
Cohere Watch
Bell Cyber and Cohere say they have deployed a specialised AI model inside Bell’s security operations in Canada, where it will help analysts investigate threats while sensitive data stays on Canadian-hosted infrastructure. The important shift is practical: this is a production cybersecurity tool, not another model waiting patiently…
Watch Desk
Alexey Borsky has released mini-AGI, an open-source byte-level language model designed to train continually on an ordinary 8GB VRAM GPU. Its interesting promise is not another oversized chatbot, but a personal model that can keep learning from new data without forgetting everything it knew yesterday.
Watch Desk
GitLab is expanding Duo Self-Hosted so organisations can run its AI development features against models deployed in their own Microsoft Foundry environment. The practical shift is control: teams can choose the model provider, deployment location and data path instead of sending requests to GitLab-managed infrastructure.
Watch Desk
President Donald Trump’s AI policy is being shaped not only inside government but through a tight network of Silicon Valley investors and the All-In podcast, Axios reports. The important consequence is political: an accelerationist push to move quickly, limit regulation and treat China as the overriding threat is…
Watch Desk
Anthropic co-founder and chief science officer Jared Kaplan has warned that letting frontier AI systems train themselves could trigger an “intelligence explosion”, with a potentially decisive moment arriving between 2027 and 2030. The point is not that catastrophe is underway, but that one of the people building these…
Mistral AI Watch
Mistral AI and Cloudera are partnering to let organisations run Mistral models across public clouds, private systems and fully disconnected networks. The important bit is practical rather than glamorous: companies with sensitive data can use AI closer to the systems that already hold it, without sending every document…
Cohere Watch
Cohere argues that companies are treating AI too much like ordinary software, when the bigger challenge is redesigning work around systems that can collaborate, act and change how decisions are made. Its practical message is clear: define what AI may do, what people must still decide, and who…
