cfgaussian

joined 3 years ago
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why polish teens seem to like russian culture more than polish adults? in c/asklemmy@lemmy.ml
[–] cfgaussian@lemmygrad.ml 6 points 2 weeks ago (1 children)

Who liberated the concentration camps?

I'm A Communist in c/memes@lemmy.ml
[–] cfgaussian@lemmygrad.ml 1 points 2 weeks ago

Humility is key to learning. Admitting that you can be wrong and don't know everything. Unfortunately in capitalist society the opposite behavior is encouraged and rewarded.

I'm A Communist in c/memes@lemmy.ml
[–] cfgaussian@lemmygrad.ml 1 points 2 weeks ago* (last edited 2 weeks ago) (2 children)

Definitely. I have liked the attitude i have seen so far from this person a lot. I think the most important thing is being curious and open to learning. Ignorance is only a sin if it's willful. Unfortunately, as you pointed out, some other people choose go to great efforts to remain ignorant.

why polish teens seem to like russian culture more than polish adults? in c/asklemmy@lemmy.ml
[–] cfgaussian@lemmygrad.ml 8 points 2 weeks ago (13 children)

Poland was never part of the Soviet Union. Unless they lived in the USSR and later moved to Poland, they did not "grow up under Soviet rule".

hey, what was China before communism like? in c/memes@lemmy.ml
[–] cfgaussian@lemmygrad.ml 8 points 2 weeks ago

They are also very racist.

I'm A Communist in c/memes@lemmy.ml
[–] cfgaussian@lemmygrad.ml 4 points 2 weeks ago* (last edited 2 weeks ago) (4 children)

Lol. If we didn't do that then we would get accused of not including our sources. But i get your point, sometimes we can tend to be overly thorough.

I view this as being a bit like mathematics. The things we say make sense to someone who is already versed in the subject but for someone who doesn't already understand or agree with certain concepts or ideas we don't necessarily want to rehash arguments that were already laid out in works a hundred years prior so we just refer back to those in the same way that when you do modern mathematics you don't need to repeat proofs that were already done in the 19th century. You can just take those theorems as given and if you are really interested in how they were derived you can still go back to the original literature and read up on it.

Of course you can still engage with and understand the more advanced arguments even without going all the way back to the basics but then you need to accept certain things as axiomatic, because it would take too much time to go back and explain them every time.

Let's say for instance that we are talking about imperialism. To clarify what exactly we mean when we talk about imperialism we may briefly give the Leninist definition of imperialism. You can either accept that this is the definition or you can ask why. Why is it defined that way and why does it make sense? Well for that you would have to go and read Lenin's work on Imperialism. Which in turn references but does not necessarily thoroughly explain certain concepts about the nature of capitalism that were worked out earlier by Marx.

You see, you can either choose to go down this rabbit hole and invest the time it takes to really go to the basics and build up from there, or you can take it as given that this has already been worked out and you can try and understand how we apply it to the modern day, which saves time and is more practical. Neither is wrong, it just depends on your personal interest.

1
An interesting perspective on open source AI (xcancel.com)
 

@RnaudBertrand: "The right question to ask after what happened these past few days isn't how Deepseek is going to make money. It's how OpenAI will.

Deepseek isn't the one that needs to make a ROI on half a trillion dollars worth of data centers (or whatever fraction of that amount actually materializes) with a product that's now offered free by the competition 😏

And that's probably exactly the point of Deepseek's strategy: to fundamentally change the economics of the market so as to make OpenAI's model obsolete.

Let's play this out and assume that Deepseek's strategy works out, and from where I stand it's looking like it's starting to. What "working out" means is scores of AI projects now starting to use Deepseek's model (in Open-Source or via their API) to power their AI endeavors, resulting in an ecosystem effect and them becoming a standards setter.

It's also them proving that many AI applications don't require massive data centers. While the most powerful models still need significant infrastructure, Deepseek's smaller versions can run locally on personal computers and gaming PCs, making OpenAI's $500B investment look highly questionable for many use cases.

And there's a brilliant strategic angle here: while OpenAI pours billions into centralized infrastructure, Deepseek is democratizing AI by enabling local deployment. This allows them to expand their reach without massive infrastructure investments: their users make it for them.

If you're OpenAI, this all ought to make you sweat. You're basically IBM in the late 1970s watching personal computers starting to democratize computing. Your $500B bet on centralized computing power might be happening just as the market shifts toward distributed, commodity AI.

And you're stuck: you can either dramatically cut your prices to compete (as a reminder, Deepseek charges just 3% of OpenAI's prices for their API calls, good luck making ROI on $500B of infrastructure if you match them), or try to differentiate by coming up with better models - bearing in mind that Deepseek has a track record of catching up to your models in a matter of days or weeks.

All in all it looks like OpenAI's expensive infrastructure might end up being the ultimate liability rather than the moat they hoped for.

To come back to the original question of monetization, what this all means is that Deepseek's approach is almost like that of guerrilla forces choosing terrain that turns an enemy's superior firepower into a liability. They're changing the game to impose their vision of AI as an open commodity that runs everywhere versus OpenAI's vision of a closed service controlled centrally. While OpenAI builds massive, expensive bases, Deepseek is empowering local resistance through distributed, efficient deployment. History shows how that usually ends."