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It was all personal use, just me, doing stuff for my business, I have no employees.

If it's for your business, it's not personal...


I think the biggest difference is that children don't have mental barriers about those things. They just explore and learn, without any thoughts wasted about the usefulness, pressure or excuses not to learn.


I switched to linux a year ago and in that year had less problems than on Windows.

I had some minor problems after updates once or twice. On Windows i had to boot into restore mode multiple times due to Windows Update screwing something up.

The MS Store also constantly had trouble updating apps and games and i had to manage packages manually and uninstall and reinstall them so it would work again until the next update.

The times were Windows is easy to use and fire and forget are long gone. The decline in quality is noticeable.


The reason it's free is not because they want you to have it for free. It's heavily subsidized limited trial period. The limits are still generous enough to be useful, but that might change when the need for profit gets bigger.


It has all the signs of LLM-generated text.


Some of it sure. But "30mins" has no space, "Where it was really weak was UI design.", "reasoning were top-notch", etc. prosidy in general has Eastern European / ESL feel. LLM-assisted yes, 100% LLM-generated? No.

I think we should be more forgiving of AI use by ESL speakers. They generally don't know how cheesy it sounds.


The problem is that it's too expensive. It can technically do parts of my job for me, but at a variable cost that's higher than mine right now.


Efficiency is an angle of research that's quite active, see quantization, MoE, speculative decoding, QKV cache optimizations, sparse attention, etc


On World 6-3, if i use i.e. d3j to delete the 3 lines it deletes the current line + the 3 below. Vim generally treats commands like that as "do this X times including the current line", so it should delete the current line and the 2 lines below.


I think the reason to use and teach those keys first, is that they can be used in all the motions aswell. The arrow keys can´t and thus do not really make much sense in a vi context.


The arrow keys can be used as motions for operators in VIM. Try them. This is also true for nvi.


Ah, that's interesting, i had no idea. Thanks. :D


But those are obvious errors. What if the AI tells you to up your intake of X and it seems plausible? So you up your intake of X by taking some supplement, but upping the intake of X makes your body deplete more of Y and now you have a new or compounding problem.

A doctor might have never recommended upping X, because they would know what it does to your body. Or they might have suggested additional supplementation to avoid this.

The fact that LLMs are trained on all public knowledge is a huge red flag, because there are more wrong infos out there than right ones. Especially about health, diet, etc.


I was about to respond but your last statement implies fundamental misunderstanding of how LLMs work. I don’t think you even know about RLHF and you think good and bad ideas are spread in proportion to how much they are seen on the internet.


Nightmare because the AI is just generating a random text that fits the question.


This is not a fair assessment of what AI is doing.

Studies have found that newer reasoning AIs are about as good at diagnosing illness from a written description of symptoms as doctors are.

Granted, it cannot actually examine a patient, so we're not replacing doctors anytime soon. But your view is obsolete.

https://www.science.org/doi/10.1126/science.adz4433


They are using the “gold standard for the evaluation of expert medical computing systems” not a proxy for what a doctor actually does when diagnosing someone.

It may have some utility after diagnosis, but this test doesn’t demonstrate utility for patients.


[flagged]


But I, SCP-426, am a toaster.


I feel the same when visiting a doctor in Canada. In that 2 minutes I have with they in one appointment per year I hear a standard text.


Not quite. An LLM generates text that would likely follow. The sky is… “blue”. A patient in pain with a bone protruding from their shin has a… “broken leg”.

The more training data, the more questions it can answer with a reasonable degree of probability of accuracy.

Throwing away a potentially useful analysis just because it’s probabilistic seems a bit like throwing the baby out with the bath water.


But for obvious cases like this, you don't need a second or first opinion.

This case is about handing a 3D imaging result to a text predictor and hoping for a valid second opinion.


Yes that’s my point. An LLM can clearly accurately predict obvious cases, so it’s reasonable to assume that it can predict less obvious cases with somewhat less accuracy.

The real question is where’s the cut-off point between accuracy and utility.

Remember: a second human opinion can also be wrong, and even a wrong opinion can still be useful (especially in medicine where differential diagnoses are a common practice - if the LLM gives you a useless opinion, you rule it out and move on).

I don’t think it’s particularly unreasonable to think that an LLM would have enough literature, or enough reasoning ability, to be able to generate a plausible interpretation of the data. A human can then review and say either “yeah that’s clearly not the case here” or “hmm, actually that could explain it, maybe we should order another test”.


This is a very peculiar use of the word "random".


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