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Joined 8 months ago
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Cake day: January 3rd, 2026

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  • when it can do something that is not just automating a simple task, but it’s capable of doing things that humans are no

    No, credit when credit’s due, LLMs have arrived (by themselves) or helped to arrive at some mathematical conclusions, didn’t they?

    A few of Erdős, some others.

    Yes, it’s, a very small subset (duh), out of god knows how many they tried, and achieving the solution is made via technique called “infinite monkeys typing out Hamlet”, but credit when credit’s due (unlike LLMs that don’t properly attribute parts of the proofs).




  • Anthropic claims that Mythos has low low low hallucination rate of just 40% in its System Card.

    LLMs outputting code solving this exact task is a compound function of luck, with non determined a priori chance of success and unknown a priori cost.

    This is my main disappointment with agentic coding. Prompting is fine, quality assurance is there from the start. Greenfield, couldn’t care less. Established enterprise code? This is a minefield.

    If the tokens were 10 to 100 times cheaper, then it would be a maybe.

    I also hate how it makes half of my senior engineers dumber.



  • You forgot, you have to ignore all the good things China does

    For it’s workers? China is still behind EU when it comes to workers rights and benefits though? Good for them they are slowly, very slowly progressing in that regard.

    E.g. paid time off in China is 5 days a year, +5 for every decade of cumulative work experience; it starts at 4-6 weeks in the EU; China has more of it’s own youth muddled in gig economy then EU (don’t get me started on how exploitative gig work is, it is disgusting any country allows for that practice).