h4890 @[email protected]

The RUST developers are all woke retards ...

https://news.ycombinator.com/item?id=36101501

This guy sums it up:

https://www.youtube.com/watch?v=e0xAmR_iIAs

Look at the scum who are now at Swiss universities 😡
https://pluriel.fuce.eu/antimuslim-racism-as-gender-politics-an-article-by-noemi-trucco-and-ahmed-ajil/?lang=en

YOU HAVE TO SAVOR THIS SENTENCE: "The authors’ central argument is intersectional: hostilities towards Muslims do not unfold independently of gender relations, they are tightly bound up with them. "

Intersectional Marxism 🤦‍♂️

And they see "anti-Muslim hostility" 🙄

Right. It's not Muslim hostility hatred, violence & terrorism against non-Muslims, it's all those non-Muslims who don't want to be invaded by Muslims who are the bad guys.

"These representations often serve to reframe internal gender issues within the majority society, displacing their burden onto the Other."

Right. Sure.

We KNOW one thing: she sleeps with Muslims.

The guy she wrote with with is a Muslim who is the go-to guy for issues with Islamic terrorism for Swiss authorities.

I'm not kidding. That's how I found him. They quoted him following yesterday's terrorist attack in Bern, where a Muslim attacked 3 people with a knife.

https://www.minds.com/newsfeed/1907057266087956480

GM☕️

This morning, the background wallpaper on my desktop was changed on my Apple MacBook Pro. All by itself.
After I download a video to an external HD, I notice it is still working. It's exchanging information. With whom?

I can't stand Apple and Windows. #Linux

You're doing AI wrong.

Visiting r/LocalLLaMa shows people cutting down model fidelity to get faster and faster inference (tokens per second of output).

You don't need the LLM to output data faster than you can read - because following the model's "thought"-process is how you stop an LLM from making time consuming mistakes (thus negating that high output speed) as well as keeping yourself both in-the-know of what's happening to your system & code, as well as you learning (!) things from the LLM.

A few weeks ago I started using a local LLM to not only aid in software development, but also system maintenance. While giving the LLM a task I also sit and "hand-hold" it like I would a junior. I go in and interrupt if I see that the thought process is going in the wrong direction, and I also learn from the investigations the LLM makes in areas I'm not familiar with myself.

The utility in "one-shotting" (as it's known) work with LLMs seems counter productive. If it generates something that works, you don't know how. If it generates something that doesn't work you've wasted time and resources.

The LLM is your very eager, and very junior, aid. Outsource repetitive and basic tasks, and work together with it on the things that are important.

I have no boss telling me I must use AI. I decide what I do and how I do it (for these projects, I have other ones at customers where I don't) - and I wouldn't use tools that don't have a net-positive contribution to my productivity.

Local LLMs do, at least for all tasks that have a very binary works/doesn't work completion control point.

Just don't treat them as knowledge databases. That they aren't. They're workers, like you, that need to produce and read guidelines, documentations and follow well-written plans.

#LLM #AI

I was asked today what I thought was the one bit of economic knowledge anyone should know..... and I said this:

'interest is the price of risk'!

so if a higher interest rate is being changed there is more risk of non-repayment.

If you know this, you can recognise why some people are charged more for loans & why some 'investments' are offered with higher interest rates.

This simple piece of knowledge helps make sense of loans & investments.... and is a useful scam warning

#economics