mnicky

5 ms·

31.
by mnicky 3mo ago
Traffic info is for Central Europe plus favorite vacation destinations like Croatia and Italy. I don't know how reliable though. I agree that the outdoor layer render is probably the best there is!
32.
by mnicky 3mo ago
Well, Codex came long after Claude Code, no? So at that time the situation with models and Rust support was probably already different...
33.
by mnicky 4mo ago
If the code churn is high the investment to refactoring etc is less beneficial than may be obvious. I don't remember the details but I heard in some podcast that the code base of Claude Code changes so fast that any piece of code won&#
34.
by mnicky 4mo ago
If the benefits of using the model you've come to know well outweigh the disadvantages, you can continue using it even after the release of a successor model, right?
35.
by mnicky 4mo ago
So in summary, your statement is that you’ve “come around to trusting” this “pathological liar”?
36.
by mnicky 4mo ago
> If AI companies have any sort of sense in them, they'd be well-advised to consider relocating to Europe. Too late now. They wouldn't be allowed to relocate in the name of national security.
37.
by mnicky 4mo ago
Coding with sufficiently precise plan takes almost all real work from the implementator, doesn't it? So it's not a fair comparison...
38.
by mnicky 4mo ago
> no one actually knows Claude's cost of inference There were some rumors stating that their margin is around 70%. So they could go much cheaper probably, talking inference only. The other thing is R&D cost...
39.
by mnicky 4mo ago
I think there's another point of view - let's consider each model as an investment. It is now sufficient that each model earns more than it cost to develop. And this generally holds (I heard that GPT-4.5 was a notable exception).
40.
by mnicky 4mo ago
> writing is how you learn to think. There's also reading. A lot of reading can substitute some writing. EDIT: Actually, I'd say that at first you need to do a lot of reading and _then_ writing can help your thinking as well.
41.
by mnicky 4mo ago
It’s the same here. Inference alone is profitable. It’s the R&D cost of making a new model that drives up expenses.
42.
by mnicky 4mo ago
It's simple I think - over time the price will go down. According to some analyses the price for equal intelligence declined 10-1000x per year, depending on the domain. It probably won't be the same again but I still think we can
43.
by mnicky 4mo ago
I recommend mapy.com (mobile app and web app too when on computer) - they mostly use OSM data and rendering of map tiles is great. Also offline maps etc.
44.
by mnicky 4mo ago
I believe it's the opposite :) All major indices (S&P500, MSCI, FTSE...) use free-float adjustments. And recently also NASDAQ - they've changed to cap of 3x the value of free-floating shares.
45.
by mnicky 4mo ago
Good thing is that index funds don't hold stocks at market capitalization but only at free float value. So a company whose shares are mostly held by founders, employees, and strategic investors gets a weight well below its headline val
46.
Overview and Comments on Pope Leo's Magnifica Humanitas on AI(lesswrong.com)
2 points by mnicky 4mo ago|1 comments
47.
by mnicky 5mo ago
Time to invest in some value-stocks index funds then :)
48.
by mnicky 5mo ago
E.g. because they are behind on research and so must compensate with size to achieve similar level of intelligence. At least this is what I heard. For intelligence/size only OpenAI and Anthropic are the frontier. Google has more comput
49.
by mnicky 5mo ago
And not only startups...
50.
by mnicky 5mo ago
Hmm, today's pass rate raised to 73% - interesting, are they AB-testing some new model? This is too high for Opus 4.7.
51.
by mnicky 5mo ago
> Zoom also won't let you join with browser on Firefox. FF works for me.
52.
by mnicky 5mo ago
In the Dwarkesh's podcast Dylan Patel from SemiAnalysis said that Google can currently afford to have larger models than competitors, because of access to much more compute, TPUs etc. That could explain the token usage difference becau
53.
by mnicky 5mo ago
Yeah. I really like the main idea behind GDPR, which is that data containing PII is the property of the person it describes, not of the companies that process the data to provide services. This means that I, as the owner of my data, can ref
54.
by mnicky 5mo ago
Wasn't it this one? Article: https://alignment.anthropic.com/2025/subliminal-learning/ Paper: https://arxiv.org/abs/2507.14805
55.
by mnicky 6mo ago
> things that used to be cached for 1 hour now only being cached for 5 min. Doesn't this only apply to subagents, which don't have much long-time context anyway?
56.
by mnicky 6mo ago
Maybe this? From the article: > Opus 4.7 is substantially better at following instructions. Interestingly, this means that prompts written for earlier models can sometimes now produce unexpected results: where previous models interpreted
57.
by mnicky 6mo ago
Also, what is $20,000 today can be $2000 next year. Or $20... See e.g. https://epoch.ai/data-insights/llm-inference-price-trends/
58.
by mnicky 6mo ago
This might be unconstitutional?
59.
by mnicky 6mo ago
Averages tell nothing about an average citizen. Also, there are other measurements like inequality, healthcare cost, social securities...
60.
by mnicky 7mo ago
This observation makes sense, because all models currently probably use some kind of a sparse attention architecture. So the closer the two related pieces of information are to each other in the input context, the larger the chance their re

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