Elsewhere today: LLMs as a virus, Astra in code review

Large-Language Models as a Cognitive Virus. Ricard Solé, David Krakauer, Michael Levin and six other researchers model LLM adoption with an epidemiological analogy, with people in one of three states: uncoupled, coupled and persistently dependent. The interesting part is the claim that social adoption can produce tipping points and lock-in, where opting out gets more expensive as more people around you use the technology. It is a theoretical model, not evidence that such a transition is happening, but it is a useful way to think about cognitive offloading.¹

Artificial Analysis has had to revise its intelligence benchmark again. Version 4.2 adds an evaluation of agentic knowledge work and a long-context test over 4,592 PDF pages, drops GPQA Diamond because frontier models have started to saturate it, and gives more weight to private, held-out evaluations. AI benchmarks now go stale almost as fast as the models they measure, and moving to private, task-specific tests looks like the right response.²

CodeRabbit has published early results from evaluating GPT-6 Astra in code review. Astra finds about 4 per cent more actionable labelled bugs overall than GPT-5.6 Sol, and about 20 per cent more on hard cross-file bugs. It is also considerably more expensive. That fits the model-routing argument: the expensive model earns its cost on tasks that cross enough files and abstractions.³

Nitter now has more working instances than before the recent takedowns. The open-source alternative frontend for X shows how hard it is to remove decentralised software once enough people want to keep it running. I read it more as a story about the open web than about X.⁴

Git hosting that will never leave Europe drew a lot of discussion today. Pushin doesn't offer a new git workflow; what it sells is European hosting and jurisdiction. Digital sovereignty used to be a procurement question. With cloud concentration, geopolitical risk and changing regulation, it is turning into a product feature.

Ignoring everything in .gitignore by default started a surprisingly big debate: new files would be ignored unless explicitly included. I wouldn't want that for normal application development, but it is a reminder that Git's default, that any new file might be source, comes from a quite different software environment.

Balrogg losslessly recompresses existing Vorbis and Opus audio and claims reductions of up to about 15% without decoding and re-encoding to a lossy format. Projects like this are why I still read Hacker News: a lot of interesting engineering has nothing to do with AI.

References