
Save the tape you have before AI makes a version of it
A practical guide to preserving analog video, checking the first digital copy, and keeping AI edits separate from the family record.
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A practical guide to preserving analog video, checking the first digital copy, and keeping AI edits separate from the family record.



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146 stories to explore

A practical guide to preserving analog video, checking the first digital copy, and keeping AI edits separate from the family record.

Collinear AI’s new benchmark measures whether coding agents can fix weaknesses without breaking tested behavior. Its design offers a useful starting point for deciding what evidence to ask for before merging a patch.

Google reported gains after a single statistics study session. A short, delayed classroom check can help teachers see whether students can use the same idea on a new problem without coaching.

Ai2’s StateBench distinguishes finding a value from following its changes. A small decision ledger can make the current answer easier to compute and explain.

IBM’s Palette separates deck planning from slide production. Borrow that split to check whether a deck communicates clearly, reads accessibly, and still works after someone edits it.

Hugging Face’s Model Integration Contracts offer a useful way to think about cheap regression checks: preserve the behavior you need to notice.

A new LangChain essay highlights the unsolved problems of always-on agents. Begin with an attention policy you can explain, inspect and change.

Google’s new Antigravity plugin connects agents to official cloud documentation. Turn that access into a reviewable chain of claims, assumptions and actions.

OpenAI’s LifeVal turns attention toward ordinary responsibilities. Your own trial should count the checking, corrections and handoff that remain.

Wave Forcing’s research results are a reason to ask how an AI video stream starts, stays playable, and responds when the viewer changes direction.

Google’s new African training hub raises a useful access test: can a learner complete meaningful work with limited data, an older phone and an imperfect AI tutor?

A new backdoor demonstration is a reason to review what an agent can execute, even when its ordinary answers look reassuring.