bawis

Whenever I teach people time series forecasting, I always point out that one of the biggest challenges is that you will always have values at prediction time that are out side the range of values observed during training (specifically the value of t).

I don't get this, time is usually not a covariate in ts models, so why is it a challenge?

Were they translated to Hindi or kept in their original language?

> Now, we have better knowledge of prompting as people have learnt what to say

Can you back up this claim? what do you mean exactly by "better knowledge" ?

The smartest people *usually* have little idea how *us* mortals can abuse the GenAI tools, because they are aware of their limitations, but we aint.

What are you favourites?

Anthropic?

Exactly, girls and women can do astonishing work in fields that favour more or less their mutual traits and vice versa, no need for "hehe we are better because GPA said so".

The report is done by an Israeli organization, find another neutral, credible source for these claims.

Expertise is largely tacit knowledge, reading AI slop isn't expertise.

Is there any English source for more information about the years of strikes you mentioned?

You need sources for this one, specifically the killing and raping claims.

I love the typical family-owned small businesses, their runners are the ones that aspired entrepreneurs should listen to their advices instead of bestsellers books of ghouls preaching their bullshit.

What do you mean by "YT is not optimized for recipes"?

Can you elaborate please?

> but many other popular "classical" ML algorithms are not

Examples ?

This is a bad case of whataboutism (I hate this word but it describes the answer you gave), what do you mean by accelerating understanding? Maybe they are good as suggestion engines, but it is very early to state what you did.

I am eagerly waiting for the afterlife.

That has been the war politics of the western in the last century or so, nothing new.

This is actually the truth, we all have tens or hundreds of priceless saved links. However, I claim that 90% are forgotten after a day or two, maybe that's actually something that small language models can fix ?

What was your PhD thesis about ?

Thanks for detailing, how much time you invested in it?

What body of knowledge (books, tutorials etc) did you use while developing it?

Are you referring to this tutorial?

https://www.topcoder.com/thrive/articles/Dynamic%20Programmi...

Language learning: I have a couple of languages that I want to focus on this 2026. Both for the enjoyment of learning and using said languages, and also because it will help me improve work-wise.

May I ask which languages are you talking about here? and what methods you will follow?

For complex analysis, I recommend using Stein's book (the whole series is good).

Same with English. let's ~~bomb other countries~~ spread "democracy".

The old problem with metrics like GDP, is that they consider the whole but not the parts, it is kinda saying that I and Musk have billions in wealth, but I am in debt.

I will take the Warren Buffett prediction seriously.

we haven't really had time to take a breath and understand what's going on.

The field of Explainable AI (or other equivalent names, interpretable AI, transparent AI etc) is looking for talent, both in academia and industry.

That book doesn't really teach the tricks of the trade (and it is not promised anyway), but it is a good introduction to the world of memory for people unaware of the potential of memory.