I love LibreOffice, but I wish there was an Android app. I’ve even considered learning more app development to try and help, but it’s such a daunting task.

I’ve been writing all my college papers in LaTeX and it’s been great. They look so professional, and it’s easier to work on a collection of text files than one monolithic document.

And the coast guard was there too.

P cores give them better single core performance. But in parallel computing AMD has the advantage and has defended it for a long time now.

Why would you use a large language model to examine a biopsy?

These should be specialized models trained off structured data sets, not the unbridled chaos of an LLM. They’re both called “AI”, but they’re wildly different technologies.

It’s like criticizing a doctor for relying on an air conditioner to keep samples cool when I fact they used a freezer, simply because the mechanism of refrigeration is similar.

Yes they did. It says so in the article.

Yes, but also because they’re just better chips and you probably should have only been getting them to begin with. Way more power efficient, smaller process, less heat, easier to upgrade, better multi core performance, lower price; you just get a better CPU.

Reading comprehension is a skill. It seems like some people just glance at the words and make up what they expect to see. I have no idea how your comment could have been interpreted the way they did without a total disregard for the substance. Maybe they were reading it through an auto translation? Still, seems like the emoji is pretty obvious.

True. Though in what tank vs tank combat there was, the advantages of modern armor were stark.

I was talking about the Gulf War in the 90s: https://youtu.be/b5EeKsEFpHI

I think the Iraqi tanks were mostly blown up by the time Bush Jr did his invasion.

Mixture of experts has been in use since 1991, and it’s essentially just a way to split up the same process as a dense model.

Tanks are an odd comparison, because not only have they changed radically since WW2, to the point that many crew positions have been entirely automated, but also because the role of tanks in modern combat has been radically altered since then (e.g. by the proliferation of drone warfare). They just look sort of similar because of basic geometry.

Consider the current crop of LLMs as the armor that was deployed in WW1, we can see the promise and potential, but it has not yet been fully realized. If you tried to match a WW1 tank against a WW2 tank it would be no contest, and modern armor could destroy both of them with pinpoint accuracy while moving full speed over rough terrain outside of radar range (e.g. what happened in the invasion of Iraq).

It will take many generational leaps across many diverse technologies to get from where we are now to realizing the full potential of large language models, and we can’t get there through simple linear progression any more than tanks could just keep adding thicker armor and bigger guns, it requires new technologies.

The gains in AI have been almost entirely in compute power and training, and those gains have run into powerful diminishing returns. At the core it’s all still running the same Markov chains as the machine learning experiments from the dawn of computing; the math is over a hundred years old and basically unchanged.

For us to see another leap in progress we’ll need to pioneer new calculations and formulate different types of thought, then find a way to integrate that with large transformer networks.

They already live in different states; New York for AOC, New Jersey for John Stewart. They both start with ‘New’, but they are not the same state.

Windows in particular I think gets overlooked as ‘good enough’, it’s only when you get into Linux that you really understand how far it has strayed from the light.

You don’t need to spend hours and hours to start, you can dip your toes in with WSL, maybe use a Linux VM for a few tasks that make your life easier at work. It’s not an all-or-nothing affair, but having proficiency in more than one operating system is great professional development regardless of your personal computing preferences.

I’ve found that many people will go to great lengths to avoid learning anything new.

They want to be able to ignore their computers as much as possible, even considering the prospect of alternative software is taxing and upsetting for them.

I think that’s basically how Microsoft and Adobe are so successful, they bought and cheated their way into the default position, and now they can do whatever they want with no real repercussions.

The user wants to click on the same icons with the same names as before, sometimes it’s as simple as wanting the same name; if it’s not called ‘outlook’ they don’t want it, doesn’t matter how well it works.

I think most recently I cried while playing Wandersong; such a great game!

They aren’t saying “religion bad”, that’s a strawman. The sentiment is that theocracies are bad, which seems pretty obvious. In much the same way police states are bad; there has never been a theocratic regime that hasn’t used their power to oppress other religions.

Theocracies oppress religious minorities in much the way ethnostates oppress ethnic minorities, and patriarchies oppress women and gender minorities. We don’t need to structure the state around religion like that, it’s a recipe for disaster.

I used to do that with HTML, make a fake little website and open it.

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They never should have ripped the solar panels off the Whitehouse.