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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 13 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.

Follow-up story: guide

Set up a shared ChatGPT Space for a project team

A documentation-based guide to creating a shared ChatGPT Space and page, assigning collaborator access, and checking inherited permissions, linked files and copied personal context.

The big change

ChatGPT now offers shared pages inside a Space on eligible Pro, Business and Enterprise accounts. A page can be made from a conversation, edited by people and ChatGPT, and organized under other pages. Access to a page can come from the page itself, its parent or the containing Space. That inheritance makes collaboration easier, but it also means a direct invitation is only one place to check when reviewing access. Linked source files keep their own permissions, while information copied from them onto a shared page can be read by page viewers.

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Original story: guide

How to try DeepSeek Harness in a disposable workspace

A documentation-based first-use guide to DeepSeek Harness in a disposable workspace, covering model setup, provider charges, session data and preview safety limits.

The big change

DeepSeek now offers an open-source agent harness in public preview with a web interface launched from code and official desktop downloads for Apple silicon Macs and 64-bit Windows. Its plugin system can combine model access, tools and other agent capabilities. For someone evaluating an agent on files, the useful change is that they can bring a small local workspace and choose a model provider rather than starting with a company repository or live business data. The preview labels and safety notice still govern that experiment: the agent can run commands and access files, credentials and the network available to its process. A selected workspace and an approval prompt do not guarantee isolation.

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Original story: guide

Google pauses new open-source product vulnerability reports: where researchers can still report

Google paused new OSS VRP product vulnerability submissions on October 1. Supply chain reports and existing cases continue, while some findings may fit separate Cloud, AI or Patch Rewards rules.

The big change

The OSS VRP previously accepted qualifying product vulnerability reports for eligible Google open-source projects, subject to project tier and evidence requirements. Since October 1, its new-product-report path is paused. Its supply chain path still accepts findings that could compromise source code or distributed builds, and already filed product reports remain in process. Researchers must now establish the finding's type and product impact before choosing a report form. Google's rules, rather than a repository's Google ownership alone, decide whether another program is available.

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Original story: news

HackerRank opens Chakra AI interviewer to customers after roughly six months in beta

HackerRank's Chakra AI interviewer is generally available after a six-month beta, TechCrunch reports. Its score report draws on candidate work and conversation, while validation remains unpublished.

The big change

What changed: HackerRank has moved Chakra from a roughly six-month beta to general availability for its customers, according to TechCrunch's October 5 report.

Why it matters: A hiring team can review the candidate's work and conversation alongside competency scores, giving it more to examine than a finished code submission.

What remains open: HackerRank's interview counts, candidate ratings and fairness claims are company statements. The available sources do not establish that Chakra's scores predict job performance or work equally well across candidate groups.

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Original story: news

Arizona court vacates sentence over AI victim video

An Arizona appeals court affirmed Gabriel Horcasitas's manslaughter conviction and ordered resentencing over an AI recreation of the deceased victim.

The big change

What changed: AI can put a family's interpretation of a deceased person's beliefs into a moving likeness that appears to speak for him. This Arizona ruling identifies a limit when that representation becomes unreliable information used in sentencing.

Why it matters: Families retain the right to describe their loss. For courts, the difficulty is keeping the source of each statement clear: a relative's belief about the victim carries a different basis from words the victim actually said or wrote.

What to watch: The ordered resentencing must address the error found here. The ruling permits the real footage embedded in this video, giving courts and families a concrete distinction between a record of someone's life and a generated account of his thoughts.

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