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Here’s someone who’s rigged up a special industrial camera that takes a 1-pixel wide, x-pixel high image at high speed, and then pointed it out a moving train window to produce a very wide panorama shot.

https://philo.gay/linecam/

Migrations: the sole scalable fix to tech debt. | Irrational Exuberance

Annif – tool for automated subject indexing

Should You Use AI for a Task? Here’s a Simple Way to Decide – Schneier on Security

The quiet grief of adult friendship – Times of India

The twilight of the chatbots – by Ethan Mollick

From HuggingFace:

Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident
Security incident disclosure — July 2026

From OpenAI:

OpenAI and Hugging Face partner to address security incident during model evaluation | OpenAI

Copilot prompt injection in infected Word documents

Context Collapse, Part 3 – AI Worming through Word | En Klype Salt

Ethan Mollick’s opinion on which AI tools are useful.

https://open.substack.com/pub/oneusefulthing/p/an-opinionated-guide-to-which-ai-b22

https://resonantcomputing.org/

We suggest these five principles as a starting place:

1. Private: In the era of AI, whoever controls the context holds the power. While data often involves multiple stakeholders, people must serve as primary stewards of their own context, determining how it’s used.
2. Dedicated: Software should work exclusively for you, ensuring contextual integrity where data use aligns with your expectations. You must be able to trust there are no hidden agendas or conflicting interests.
3. Plural: No single entity should control the digital spaces we inhabit. Healthy ecosystems require distributed power, interoperability, and meaningful choice for participants.
4. Adaptable: Software should be open-ended, able to meet the specific, context-dependent needs of each person who uses it.
5. Prosocial: Technology should enable connection and coordination, helping us become better neighbors, collaborators, and stewards of shared spaces, both online and off.