jakobs99.bsky.social

@jakobs99.bsky.social

https://jakobsachs.blog/ computer person

masterclass in the genre of dazzling dataviz slopui. every element screams for attention but none of them manage to convey much of anything with clarity because that's not the point, the point is to give you a visceral impression that a deluge of valuable information is being valuably processed

A recent thought I had in regard to the whole DHH v. Claude drama: I think similar to how we have a "free internet" we might want "free AI" in the sense no matter how (from my view) abhorrent your speech is, you probably should still be able to find a LLM to work with.

Giving a shit had always been a choice, regardless of tools used. Carelessness is a property of the wielder and the perspective of the onlooker, but not of the tool. So it is with AI.

This also connects to agents imo: Agents help you add code very easily, but the art is to actually have it help you end up removing code. This is somewhat internal to the models, and i hope it gets patched/trained out soon. They tend to be very "Chesterons-fence"-ish and afraid to remove code.

jakobs99.bsky.social@jakobs99.bsky.social · 2w ago

Looking back at it, i think my LISP/Clojure exploration really shifted my mindset about coding/architecture, and im not sure i can go back to previous "design pattern", OOP, etc. world

I think one of my biggest pet-peeves, is measuring project size by LoC In my eyes, LoC is at-best vaguely related to this. Usually its more of a symptom of complexity, many different Systems talking to each other/bad architecture etc.

congratulations to the Moonshot team for extending Claude Fable 5's inclusion in claude subscriptions for another few weeks

Coding benchmark comparison with Kimi K3 highlighted. Kimi ranks third on DeepSWE, behind GPT-5.6 Sol and Fable 5; second on FrontierSWE and Kimi Code Bench, behind Fable 5; second on Terminal Bench, narrowly behind GPT-5.6 Sol; and first on Program Bench and SWE Marathon, narrowly beating GPT-5.6 Sol and Opus-4.8 respectively.

Spotted an interesting bug in Fables thinking-traces summarization. Seems that with minimal reasoning effort, they dont correctly catch for no reasoning done at all, and still call summarizer/obfuscator on it?

Bild