For the first few weeks, they would actually provide those 660 minutes to establish trust in their cards. But after a while, they would quietly start reducing the number of minutes on subsequent top-ups—say, from 660 minutes down to only 300. They wouldn’t do this for every card, so it was difficult to prove. Instead, they relied on averages across their customer base to make the economics work.

Lately, I’ve found myself wondering whether something similar may be happening with frontier AI models. Companies launch with an exceptionally strong model and generous compute limits to build adoption. Once the model is established as a market leader, the incentives change, and users may start perceiving the service as becoming more constrained or less capable over time.

I don’t have evidence that this is what’s happening with Anthropic—or with any other AI company. It’s simply a pattern that the current situation reminds me of.

I mean things like comments on issues/PRs, stars, followers, finding existing repos, seeing which projects are popular, and getting drive-by contributions.

Or does that matter less than I imagine once you self-host and mirror public repos back to GitHub/Codeberg?

I mean, if they deem Fable 5 to powerful to share with the rest of the world, what's left for us?

M5 Max MacBook Pro: $4,099 (up from $3,599)

M3 Ultra Mac Studio: $5,299 (up from $3,999

How can this be explained with price increases in Ram prices?

Come on Apple, don’t be so greedy. Make money but don’t bleed us.

I read fewer blog posts, fewer newsletters, fewer “10 lessons from…” articles, and fewer productivity videos than I did three years ago.

But I still buy books.

The first casualties seem to be the intermediaries, not necessarily the original sources.

HP started my journey so to speak :)

I also had one of those mentioned in the article, just for nostalgia. Rock solid, RPN based, lovely product. The kind of product companies do not build anymore (products that will last you a lifetime)

But actually this is a good move. I tried to convince my family and friends to use alternatives, without success. But now I see hope.

Have stopped using FB and IG years ago, was stuck with WhatsApp because of half the world using it.

Scheme is a wonderful lisp dialect. It taught me basics of functional programming, about closures, about tail call recursion, about functions always returning values (which annoyed me a lot when I started learning Python, where .append or .sort returened `none` instead of the list, and were destructive).

So I have very fond memories of Racket (then DrScheme) and Scheme. Had also written my matrix multiplication library and my CAS system to mimic the functionality of my HP28s calculator.

Have to look into it again.

I would be lost had I have to use the Office tools to edit and format my text.

So thank you to all the maintainers of Pandoc.