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Follow the change ·

The day,
in perspective.

What happened in AI and robotics — and the change behind it. A reading path through 19 stories from BIG CHANGE.

Ordered using RADAR attention, story opens and likes. Excerpts from our published reporting; open a story for the full context and sources. Dates in UTC.

Original story: analysis

Torridge says no formal application has been submitted for Devon AI campus

Torridge says Xlinks has not submitted a formal application for its proposed Devon AI campus. The council distinguishes early planning advice from the public statutory process.

The big change

What changed: The Devon proposal makes AI infrastructure a local planning issue before an application exists, with company-led consultation ahead of Torridge's statutory comment process.

Why it matters: Feedback to Xlinks can inform the proposal before submission. Formal comments to Torridge enter the planning process after the council receives, validates and publishes an application.

What to watch: Xlinks has yet to publish new dates for its postponed public information days. Torridge says it is preparing pages for pre-application correspondence. The next formal step will be submission and validation of the separate proposed applications, followed by their publication on the council's planning portal.

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Original story: analysis

Fedorov seeks engineers and investors for Ukraine's proposed Army of Robots

Former Ukrainian defence minister Mykhailo Fedorov is seeking engineers and investors for Army of Robots. Its operator, funding and humanoid hardware remain undisclosed.

The big change

What changed: Fedorov is trying to turn an ambition for battlefield robotics into a private-sector development effort, with open calls for technical teams and funding. The announcement establishes recruitment, while the machines in its promotional video remain concepts.

Why it matters: Ukraine already uses ground vehicles operated at a distance for tasks such as moving supplies. Fedorov wants companies and engineers to pursue a wider set of roles, including humanoid robots. That would require hardware and field testing beyond the recruiting campaign now visible.

What to watch: For companies considering the call, the still undisclosed operator and financing terms matter now. The later test of military value is documented field work with actual machines, beyond the targets and generated imagery in the launch campaign.

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Original story: news

In one AI model project, agents proposed methods while researchers made final choices

Atria Dawn's team studied 769 task records from its own model development. Agents often proposed methods and revised outputs, while participants reported making most final choices. The findings describe one project.

The big change

What changed: The team recorded how agents and people shared specific research decisions during a model development project, separating a proposal from the final choice.

Why it matters: An agent can generate a method and carry out a revision while a researcher still chooses the goal, approves the method and decides whether the result meets the task's criteria. Counting agent actions alone misses those different roles.

What to watch: These are observations from one team's work, with much of the decision evidence supplied by participants. The findings do not establish how other AI labs divide decisions or whether agents can develop their successors autonomously.

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