forever

Attention over time

7-day rolling share of analyzed posts/comments mentioning this entity · 90 daily points ending 2026-10-15

Final complete day: 2026-10-15. Attention was 0.3% — this entity appeared in 8 of 2,852 analyzed posts/comments in the seven days ending that day (9 mentions).

Each point is a seven-day rolling window of complete UTC days; a point is comparable only when at least 100 analyzed posts or comments fall inside it. A day with no analyzed records counts as zero; missing coverage is marked and never shown as zero. The series ends at the latest complete analyzed day — it never extends into the current incomplete day. How attention is measured.

Recent mentions

1. 2026-10-14 16:10 UTCComment

   what you memorize is the way to break the problem down. loops: "Do I need to iterate over something, loop until something, or loop forever". If you're iterating over something, then you either need an iterator or a contextual length to loop over. If you're looping until something happens, you need the escape clause for that something. If you're looping forever, you're good, unless you run out of memory.

2. 2026-10-13 11:11 UTCComment

   Chinese AI labs heavy subsidized as well. Just in another way. No one is making money on LLMs. OSSing models is just a strategy to capture a market share. Nobody would use them otherwise. Anthropic and OAI just don't have other options than raising the prices, I think. They can't burn that much money forever. "Damned if you and damned if you don't" kind of situation.

3. 2026-10-13 09:56 UTCComment

   AI labs subsidizing token prices won't last forever. So what you do right now for a $200 a month would cost in $5k (more or less) in tokens you wouldn't be so 'productive'. Small agencies with small to medium projects could be hit the most. I do feel, however, that working for a company with large and complex products can be relatively safe since for complex features a human is required and will always be if a company doesn't want its product to become a mess. It the end, I think, after the dust will settle, we will end up with something in the middle - LLMs will do the boilerplate part, but a human will still be in the middle of the process. Because without an oversight and ownership the whole codebase quickly becomes AI tech debt.

4. 2026-10-12 15:50 UTCComment

   don't try to have an ai rebuild all of them page by page, that'll take forever. strip the text out with something like pandoc into plain files, make one modern layout, then loop the content into it. you already have a server so a simple static site works fine.

5. 2026-10-10 22:36 UTCComment

   Sure, people were building custom framework because the popularization of frameworks, it's essential for a long term and/or complex project. But will people trust the new frameworks? I don't know. For many years, we had big organizations or popular core contributors to maintain it. Are we sucked with the current frameworks forever? It's easy to build a new one, but hard to gain trust and popularize it.