So can I have a private version of it that doesn’t tell everyone about me and my questions?

I asked it about Tiananmen Square, it told me it can’t answer that because it can only respond with “harmless” responses.

Yes but your server can’t handle the biggest LLM.

Aren’t VPNs illegal in China?

Two times zero is still zero

With that attitude I am not sure if you belong in a Chinese prison camp or an American one. Also, I am not sure which one would be worse.

Not really a question of national intentions. This is just a piece of technology open-sourced by a private tech company working overseas. If a Chinese company releases a better mousetrap, there’s no reason to evaluate it based on the politics of the host nation.

Throwing a wrench in the American proposal to build out $500B in tech centers is just collateral damage created by a bad American software schema. If the Americans had invested more time in software engineers and less in raw data-center horsepower, they might have come up with this on their own years earlier.

I don’t have one to cancel, but I might celebrate today by formatting the old windows SSD in my system and using it for some fast download cache space or something.

Joke’s on them: I never started a subscription!

Yes but have you considered that “china bad”?

Not necessarily… if I gave you my “faster car” for you to run on your private 7 lane highway, you can definitely squeeze every last bit of the speed the car gives, but no more.

DeepSeek works as intended on 1% of the hardware the others allegedly “require” (allegedly, remember this is all a super hype bubble)… if you run it on super powerful machines, it will perform nicer but only to a certain extend… it will not suddenly develop more/better qualities just because the hardware it runs on is better

OpenAI could use less hardware to get similar performance if they used the Chinese version, but they already have enough hardware to run their model.

Theoretically the best move for them would be to train their own, larger model using the same technique (as to still fully utilize their hardware) but this is easier said than done.

It’s not multimodal so I’d have to imagine it wouldn’t be worth pursuing in that regard.

Deepthink R1(the reasoning model) was only released on January 20. Still took a while though.

Text below, for those trying to avoid Twitter:

Most people probably don’t realize how bad news China’s Deepseek is for OpenAI.

They’ve come up with a model that matches and even exceeds OpenAI’s latest model o1 on various benchmarks, and they’re charging just 3% of the price.

It’s essentially as if someone had released a mobile on par with the iPhone but was selling it for $30 instead of $1000. It’s this dramatic.

What’s more, they’re releasing it open-source so you even have the option - which OpenAI doesn’t offer - of not using their API at all and running the model for “free” yourself.

If you’re an OpenAI customer today you’re obviously going to start asking yourself some questions, like “wait, why exactly should I be paying 30X more?”. This is pretty transformational stuff, it fundamentally challenges the economics of the market.

It also potentially enables plenty of AI applications that were just completely unaffordable before. Say for instance that you want to build a service that helps people summarize books (random example). In AI parlance the average book is roughly 120,000 tokens (since a “token” is about 3/4 of a word and the average book is roughly 90,000 words). At OpenAI’s prices, processing a single book would cost almost $2 since they change $15 per 1 million token. Deepseek’s API however would cost only $0.07, which means your service can process about 30 books for $2 vs just 1 book with OpenAI: suddenly your book summarizing service is economically viable.

Or say you want to build a service that analyzes codebases for security vulnerabilities. A typical enterprise codebase might be 1 million lines of code, or roughly 4 million tokens. That would cost $60 with OpenAI versus just $2.20 with DeepSeek. At OpenAI’s prices, doing daily security scans would cost $21,900 per year per codebase; with DeepSeek it’s $803.

So basically it looks like the game has changed. All thanks to a Chinese company that just demonstrated how U.S. tech restrictions can backfire spectacularly - by forcing them to build more efficient solutions that they’re now sharing with the world at 3% of OpenAI’s prices. As the saying goes, sometimes pressure creates diamonds. Image Image Last edited 4:23 PM · Jan 21, 2025 · 932.3K Views

Basically US company’s involved in AI have been grossly over valued for the last few years due to having a sudo monopoly over AI tech (companies like open ai who make chat gpt and nvidia who make graphics cards used to run ai models)

Deep seek (Chinese company) just released a free, open source version of chat gpt that cost a fraction of the price to train (setup) which has caused the US stock valuations to drop as investors are realising the US isn’t the only global player, and isn’t nearly as far ahead as previously thought.

Nvidia is losing value as it was previously believed that top of the line graphics cards were required for ai, but turns out they are not. Nvidia have geared their company strongly towards providing for ai in recent times.

Let’s say I make a thing. Let’s say somebody offers to buy it from me for $10. I sell it to them, and then let’s say somebody else makes a better thing, and now no one will pay more than $2 for my thing. If my thing is a publicly traded corporation, then that just “wiped off” $8 from the stock market. The person I sold it to “lost” $8. Corporations that make AI and the hardware to run it just “lost” a lot of value.

"You see, dear grandchildren, your grandfather used to have an apple orchard. The fruits were so sweet and nutritious that every town citizen wanted a taste because they thought it was the only possible orchard in the world. Therefore the citizens gave a lot of money to your grandfather because the citizens thought the orchard would give them more apples in return, more than the worth of the money they gave. Little did they know the world was vastly larger than our ever more arid US wasteland. Suddenly an oriental orchard was discovered which was surprisingly cheaper to plant, maintain, and produced more apples. This meant a significant potential loss of money for the inhabitants of the town called Idiocracy. Therefore, many people asked their money back by selling their imaginary not-yet-grown apples to people who think the orchard will still be worth more in the future.

This is called investing, children, it can make a lot of money, but it destroys the soul and our habitat at the same time, which goes unnoticed by all these people with advanced degrees. So think again when you hear someone speak with fancy words and untamed confidence. Many a times their reasoning falls below the threshold of dog poop. But that’s a story for another time. Sweet dreams."

Apparently they have barely produced any so they will all be sold out anyway.

We will have true AI once it is capable of answering “I don’t know” instead of making things up

It’s knowledge isn’t updated.

It doesn’t know current events, so this isn’t a big gotcha moment

Looks like it is not any smarter than the other junk on the market. The confusion that people consider AI as “intelligence” may be rooted in their own deficits in that area.

Yep, because they believed that OpenAI’s (two lies in a name) models would magically digivolve into something that goes well beyond what it was designed to be. Trust us, you just have to feed it more data!

And now people exchange one American Junk-spitting Spyware for a Chinese junk-spitting spyware. Hurray! Progress!

That’s the neat bit, really. With that model being free to download and run locally it’s actually potentially disruptive to OpenAI’s business model. They don’t need to do anything malicious to hurt the US’ economy.

With understanding LLM, I started to understand some people and their “reasoning” better. That’s how they work.

It is open source, so it should be audited and if there are back doors they can be plugged in a fork

It is progress in a sense. The west really put the spotlight on their shiny new expensive toy and banned the export of toy-maker parts to rival countries. One of those countries made a cheap toy out of jank unwanted parts for much less money and it’s of equal or better par than the west’s.

As for why we’re having an arms race based on AI, I genuinely dont know. It feels like a race to the bottom, with the fallout being the death of the internet (for better or worse)

And now people exchange one American Junk-spitting Spyware for a Chinese junk-spitting spyware.

LLMs aren’t spyware, they’re graphs that organize large bodies of data for quick and user-friendly retrieval. The Wikipedia schema accomplishes a similar, abet more primitive, role. There’s nothing wrong with the fundamentals of the technology, just the applications that Westoids doggedly insist it be used for.

If you no longer need to boil down half a Great Lake to create the next iteration of Shrimp Jesus, that’s good whether or not you think Meta should be dedicating millions of hours of compute to this mind-eroding activity.

I’m tired of this uninformed take.

LLMs are not a magical box you can ask anything of and get answers. If you are lucky and blindly asking questions it can give some accurate general data, but just like how human brains work you aren’t going to be able to accurately recreate random trivia verbatim from a neural net.

What LLMs are useful for, and how they should be used, is a non-deterministic parsing context tool. When people talk about feeding it more data they think of how these things are trained. But you also need to give it grounding context outside of what the prompt is. give it a PDF manual, website link, documentation, whatever and it will use that as context for what you ask it. You can even set it to link to reference.

You still have to know enough to be able to validate the information it is giving you, but that’s the case with any tool. You need to know how to use it.

As for the spyware part, that only matters if you are using the hosted instances they provide. Even for OpenAI stuff you can run the models locally with opensource software and maintain control over all the data you feed it. As far as I have found, none of the models you run with Ollama or other local AI software have been caught pushing data to a remote server, at least using open source software.

artificial intelligence

AI has been used in game development for a while and i havent seen anyone complain about the name before it became synonymous with image/text generation

The difference is that you can actually download this model and run it on your own hardware (if you have sufficient hardware). In that case it won’t be sending any data to China. These models are still useful tools. As long as you’re not interested in particular parts of Chinese history of course ;p