any · textlog

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ai coding feels like it has reached diminishing returns for me. luna is my default orchestrator, routing work by complexity. in practice, usage lands around 16% luna, 48% sol, 30% astra, and 6% terra. at this point, i care less about each new frontier release. the system already finds a capable model for the job. the frontier is moving beyond my day-to-day work, so i’m happy to settle into predictable models for a while.

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I’ve found the same, albeit with Opus — it’s hard to find uses for Fable. I don’t need a model that works for longer or works on harder problems, I need one that consistently produces simple, easy to understand, code; which at this point none of them do.

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I've been there since I settled on a combination of GLM, DeepSeek and MiMo for planning, implementation, and verification flows. I'm a lot more interested at this point in having cheaper models that can consistently do the work I need. It's been a while that I hanven't noticed any improvement when I try new frontier models. I only notice they are very expensive.

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same here, for almost an year. At this point, I could easily live with models that were released 6-12 months ago and continue doing so. also possibly the reason why the current focus has been around agentic workflows or agentic anything, than the model capabilities.

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Coding probably yeah, but still they are bad at generating novel information, new ideas and such. They’re also not very good at seeing the bigger picture, they will narrowly perform the task but they’re not taking into account future revisions, which ends up in refactor after refactor in order to move forward.

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work has been dreadful recently. spending so much time on processes and in meetings :(

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one more step. just a moment. attention required! enable javascript and cookies to continue. verifying the security of your connection. your browsing activity has been paused. content unavailable in your region. 429 too many requests. 403 forbidden. connection has timed out.

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happy little moments

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Step back, sit down, and have a cup from the old 418.

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Thank you Cloudflare!

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The future is here. But instead of flying cars or holodeck, what you get is tracking cookies and captcha everywhere. Maybe someday you will need to have your rectum scanned by Google or Meta nee Facebook before your browser does a HTTP request.

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How can I change an organisation with hundreds of frustrated employees, when I can’t change my own life with only one person. Does a different person run a company and a different person live their life? I doubt it.

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I think so, actually. My wife runs my household, I run my engineering org. As I get older I do see the two aspects of my personality start to merge but they are still divergent and were much moreso in my earlier years.

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and to be clear, I don't mean that I offload all the work to her by any stretch. It's just that I'm much more outspoken and opinionated on the specifics of work life versus home life.

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'wade in the water.' isn't this the challenge of being 'ahead'? so many of us are waist deep in the same sea, it's hard to see what's in front of us vs. what's behind us. then we see the yacht boys sail by with their new masters, splashing us in their wake. then we grumble amongs

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then we grumble amongst ourselves about 'that was my idea,' then carry on.

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G

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Hi

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I whipped up a quick report in this morning.

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just finished the book “This is what inequality looks like” by Teo You Yenn. will gather my thoughts and write more about it.

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The mental shape of a programming language resurfaces, and my mind craves writing programs in it. Array languages, concatenative, Lisps, Smalltalks.

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Experiences of life spring from the contrasts.

created a quiz:

programmer emergency: production is down. You change absolutely nothing and restart the server. It works. What did you fix?

(replies are hidden until you answer the quiz)

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There is someone absolutely rotten and fetid in this airplane. Every 10 minutes. Dear Spaghetti Monster!

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me

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Hello world!

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what an odd summer it must be for mathematicians.

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Interesting. Why?

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It seems this year is when big budget LLM players overtake independent academic mathematicians, in speed at least. The Jacobian conjecture, a lot of Erdos problems, now even the Navier Stokes millenium problem. Solved due to new model releases, all within this summer.

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model releases or internal research by the big AI labs*

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So, can we now say that LLMs are able to do things that nobody has done before? Can they extrapolate?

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in math it can definitely prove statements that havent been proven before. I dont think thats the big thing though since it also writes sentences nobody has ever written before and in software it can write programs that havent been written before. Its just that the speed and scalability that has overtaken human mathematicians and programmers

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I found this from f-droid.

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Pocket Trillium, brilliant!!!

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akkor inkább holnap sürgősen elmegyek az állatparkba

Then I'd better go to the zoo tomorrow urgently.

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