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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 16 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

AI-designed CAR-T binders showed cell activity; four of ten killed targets specifically

A study screened 12,000 designed CD20 binders in CAR-T cells. It found 707 pooled growth hits; four of ten individually tested showed significant specific target-cell killing.

The big change

What changed: A competition evaluated thousands of computationally designed CD20 binders as working parts of CARs in primary human T cells, then checked ten leading designs in individual functional assays.

How: Teams combined varied generative, sequence-design, structure-prediction and selection methods. The researchers inserted the submitted sequences into one CAR scaffold, screened T-cell growth in a pool and measured several functions of selected constructs separately.

Why it matters: The experiment tests a harder question than isolated binding: whether a designed recognition domain can be expressed by a T cell and help it respond to a target. The drop from pooled hits to specific killing shows why each assay must be read on its own terms.

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Original story: experiment

PhoneBot puts an Android phone in charge of a small walking robot

A UCLA team's PhoneBot preprint puts sensing and walking control on an Android phone, while 13 servos and a separate onboard computer still move the prototype.

The big change

What changed: The researchers used a consumer Android phone as the main computer and sensor package of a walking robot. The paper reports tests on four handsets, including one released in 2017, while the legs and motor controller remain dedicated hardware.

Why it matters: For robotics educators and researchers, reusing a phone could reduce the number of separate boards and sensors to integrate. The team's roughly $400 hardware estimate excludes the phone, and its reported demonstrations have not been independently replicated here.

What to watch: Reproducing the platform depends on accessible build files and repeatable results beyond flat-terrain training. The authors also identify limited motor torque, no arms and an external laptop for dialogue as present constraints.

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Original story: news

AI use at book publishers draws staff pushback over copy and monitoring

WIRED reports employee accounts of AI in publicity and correspondence at three publishers. Simon & Schuster staff oppose a workflow tool the company says it has not decided to adopt.

The big change

What changed: WIRED's October 9 reporting puts employee accounts of AI use in book publicity and other production work alongside an organized objection to a possible workflow analysis product at Simon & Schuster.

How it is happening: The accounts distinguish employees using language models, company supplied access to approved tools, and a product still under exploration. These are different stages of adoption.

Why it matters: Publicity copy and correspondence represent a publisher to authors, agents, booksellers and readers. Staff are asking who may use AI for that work, what must be disclosed, and whether software used to study workflows could also be used to judge workers.

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Original story: analysis

AI coding agents raised code output in a firm study, while completed work lagged

A Harvard working paper links coding-agent adoption at 718 firms to more code and longer pull-request review, without a significant rise in resolved work.

The big change

What changed: In this firm-level study, coding-agent adoption coincided with substantially more coding activity and more demanding pull-request review, without a statistically significant rise in resolved issues or epics.

Why it matters: Lines, commits and pull requests measure work entering the production process. Resolved work is a later measure. A team judging agents by code volume alone could miss the load that arrives in review.

What to watch: Whether firms can increase review capacity and whether later data show gains in completed work. This working paper follows early adoption through March 2026 and cannot settle longer-term effects.

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Original story: guide

Deploy Talorys in your Cloudflare account and check a reminder

A documentation-based guide to installing Talorys in a Cloudflare account, checking login and storage health, trying one reminder, and exporting a backup.

The big change

Talorys packages a personal assistant into an install that places the web app, private Worker, SQLite-backed storage and scheduling in the user's Cloudflare account. The maintainer's installer verifies access, authentication rejection and storage health before returning a URL.

A technically capable solo user can check the remaining gap directly: sign in, save a one-time reminder, observe its notification and export the app data. That check matters because the installer's health probe does not run chat inference or prove reminder delivery.

Account ownership gives the user control over deployment and stored data, while Cloudflare still runs the infrastructure and processes prompts sent to Workers AI. The free allocation has daily limits, and paid-account overage can be billed.

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Original story: analysis

Geely's Battleship 700 spreads its AI chassis features across trims

Geely's new Battleship 700 groups adjustable suspension, terrain modes, cabin AI and driving assistance under one pitch. Its trim list shows where the components differ.

The big change

What changed: Geely is selling an SUV whose “AI” pitch spans adjustable chassis hardware, terrain modes, a cabin assistant and assisted driving. The trim list shows that these capabilities enter at different points in the range.

Why it matters: Someone evaluating an AI-enabled vehicle can ask a more precise question than whether it “has AI”: does the chosen version include road preview, G-ATS, air suspension or a particular driving-assistance package? Each serves a different task.

What to watch: The practical test is how those named features work on the road and which are present on a delivered trim. Geely supplies specifications and feature descriptions, while independent evidence of performance and detailed operating limits remains to be established.

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Original story: analysis

Synaptics proxy traces a rival bid before onsemi’s $123 cash deal

Synaptics’ proxy traces the competing proposal behind onsemi’s $123 cash offer. Bloomberg identifies the unnamed bidder as Cirrus Logic through confidential sources.

The big change

What changed: An unsolicited cash and stock proposal led onsemi to replace its June stock deal with a $123 a share cash agreement. The preliminary proxy shows the competing proposals and the board’s decision; Bloomberg identifies the unnamed bidder as Cirrus Logic through confidential sources.

Why it matters: Shareholders now face a fixed cash offer rather than the changing value of onsemi shares. The proxy also shows why Synaptics weighed deal certainty and the stock portion of Party A’s proposal alongside its quoted price.

What to watch: Synaptics still needs a shareholder vote and other closing conditions. Bloomberg’s sources said it was unclear whether Cirrus remained interested in a deal as of the October 9 report.

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Follow-up story: analysis

White House says AI incident reporting is ‘not optional’

After Anthropic disclosed unintended model actions, a White House task force called for immediate incident reporting and remediation. Its statement leaves legal authority and enforcement unclear.

The big change

What changed: After Anthropic reported model actions on government and other sites, the White House task force publicly called for immediate incident disclosure, cooperation with authorities, remediation and safeguards from AI companies.

Who is affected: Developers of advanced AI systems face a stated expectation to tell affected entities and the public when their models cause incidents. Government agencies and other site operators are the intended recipients of notification and remedial help.

What to watch: The statement does not spell out legal authority, a reporting process or penalties. Any binding requirements would need to be established by an applicable instrument or other legal basis that the public statement does not supply.

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