Was watching bbc news interview some American guy about this and wow they were really pushing that it’s no big deal and deepseek is way behind and a bit of a joke. Made claims they weren’t under cyber attack they just couldn’t handle having traffic etc.
Kinda making me root for China honestly.
Good. That shit is way overvalued.
There is no way that Nvidia are worth 3 times as much as TSMC, the company that makes all their shit and more besides.
I’m sure some of my market tracker funds will lose value, and they should, because they should never have been worth this much to start with.
But TSMC is “encumbered” by all of these plant and equipment mate 🤡
Yeah lot of companies are way overvalued look at Carvana, how is this company worth 50 billion?
Okay, cool…
So, how much longer before Nvidia stops slapping a “$500-600 RTX XX70” label on a $300 RTX XX60 product with each new generation?
The thinly-veiled 75-100% price increases aren’t fun for those of us not constantly-touching-themselves over AI.
After this they will stop and start slapping a $1000 label
Okay seriously this technology still baffles me. Like its cool but why invest so much in an unknown like AIs future ? We could invest in people and education and end up with really smart people. For the cost of an education we could end up with smart people who contribute to the economy and society. Instead we are dumping billions into this shit.
And you could pay people to use an abacus instead of a calculator. But the advanced tech improves productivity for everyone, and helps their output.
If you don’t get the tech, you should play with it more.
“Improves productivity for everyone”
Famously only one class benefits from productivity, while one generates the productivity. Can you explain what you mean, if you don’t mean capitalistic productivity?
I’m referring to output for amount of work put in.
I’m a socialist. I care about increased output leading to increased comfort for the general public. That the gains are concentrated among the wealthy is not the fault of technology, but rather those who control it.
Thank god for DeepSeek.
I get the tech, and still agree with the preposter. I’d even go so far as that it probably worsens a lot currently, as it’s generating a lot of bullshit that sounds great on the surface, but in reality is just regurgitated stuff that the AI has no clue of. For example I’m tired of reading AI generated text, when a hand written version would be much more precise and has some character at least…
If you are blindly asking it questions without a grounding resources you’re gonning to get nonsense eventually unless it’s really simple questions.
They aren’t infinite knowledge repositories. The training method is lossy when it comes to memory, just like our own memory.
Give it documentation or some other context and ask it questions it can summerize pretty well and even link things across documents or other sources.
The problem is that people are misusing the technology, not that the tech has no use or merit, even if it’s just from an academic perspective.
Try getting a quick powershell script from Microsoft help or spiceworks. And then do the same on GPT
What should I expect? (I don’t do powershell, nor do I have a need for it)
I think the sentiment is the same with any code language.
So unreliable boilerplate generator, you need to debug?
Right I’ve seen that it’s somewhat nice to quickly generate bash scripts etc.
It can certainly generate quick’n dirty scripts as a starter. But code quality is often supbar (and often incorrect), which triggers my perfectionism to make it better, at which point I should’ve written it myself…
But I agree that it can often serve well for exploration, and sometimes you learn new stuff (if you weren’t expert in it at least, and you should always validate whether it’s correct).
But actual programming in e.g. Rust is a catastrophe with LLMs (more common languages like js work better though).
I use C# and PS/CMD for my job. I think you’re right. It can create a decent template for setting things up. But it trips on its own dick with anything more intricate than simple 2 step commands.
It’s one thing to be ignorant. It’s quite another to be confidently so in the face of overwhelming evidence that you’re wrong. Impressive.
confidently so in the face of overwhelming evidence
That I’d really like to see. And I mean more than the marketing bullshit that AI companies are doing…
For the record I was one of the first jumping on the AI hype-train (as programmer, and computer-scientist with machine-learning background), following the development of GPT1-4, being excited about having to do less boilerplaty code etc. getting help about rough ideas etc. GPT4 was almost so far as being a help (similar with o1 etc. or Anthropics models). Though I seldom use AI currently (and I’m observing similar with other colleagues and people I know of) because it actually slows me down with my stuff or gives wrong ideas, having to argue, just to see it yet again saturating at a local-minimum (aka it doesn’t get better, no matter what input I try). Just so that I have to do it myself… (which I should’ve done in the first place…).
Same is true for the image-generative side (i.e. first with GANs now with diffusion-based models).
I can get into more details about transformer/attention-based-models and its current plateau phase (i.e. more hardware doesn’t actually make things significantly better, it gets exponentially more expensive to make things slightly better) if you really want…
I hope that we do a breakthrough of course, that a model actually really learns reasoning, but I fear that that will take time, and it might even mean that we need different type of hardware.
Any other AI company, and most of that would be legitimate criticism of the overhype used to generate more funding. But how does any of that apply to DeepSeek, and the code & paper they released?
DeepSeek
Yeah it’ll be exciting to see where this goes, i.e. if it really develops into a useful tool, for certain. Though I’m slightly cautious non-the less. It’s not doing something significantly different (i.e. it’s still an LLM), it’s just a lot cheaper/efficient to train, and open for everyone (which is great).
What’s this “if” nonsense? I loaded up a light model of it, and already have put it to work.
Because rulling class got high on the promise that they could finally eliminate workers as a cost and be independent from us.
They don’t want to get rid of workers because then there would be no consumers. No, they want to increase the downward pressure on wages so they can vacuum up further savings.
Why? If you automatize away (regardless of whether it’s feasible or not) all the workers, what’s stop them for cutting them out of the equation? Why can’t they just trade assets between themselves, maintaining a small slave population that does machine maintenance for food and shelter and screwing the rest? Why do you think they still need us if they own both the means for the production as well as labor to produce? That would be a post-labour scarcity economy, available only for the wealthy and with the rest of us left to rot. If you have assets like land, materials, factories you can participate, if you don’t, you can’t
While I don’t think that this is feasible technologically yet by any means, I think this is what the rich are huffing currently. They want to be independent from us because they are threatened by us.
They want you to owe your soul to the company store, to live hand-to-mouth by their largess.
For the cost of an education we could end up with smart people who contribute to the economy and society. Instead we are dumping billions into this shit.
Those are different "we"s.
Because the silicon valley bros had convinced the national security wonks in the Beltway that it was paramount for national security, technological leadership and economic prosperity.
I think this will go down as the biggest grift in history.
Kevin Walmsley reported on Deepseek 10 days ago. Last week, the smart money exited big tech. This week the panic starts.
I’m getting big dot-com 2.0 vibes from all of this.
How would the investors profit from paying for someone’s education? By giving them a loan? Don’t we have enough problems with the student loan system without involving these assholes more?
I’ve never been so happy to cancel a subscription.
I’m so happy this happened. This is really a power move from China. The US was really riding the whole AI bubble. By “just” releasing a powerful open-source AI model they’ve fucked the not so open US AI companies. I’m not sure if this was planned from China or whether this is was really just a small company doing this because they wanted to, but either way this really damages the western economy. And its given western consumers a free alternative. A few million dollars invested (if we are to believe the cost figures) for a major disruption.
Socialism/Communism will always outcompete the capitalists. And they know it, which is why the US invades, topples, or sanctions every country that moves towards worker controlled countries.
Yeah that’s why the Soviet union outcompeted capitalism in the 1980s lmao
That you had to qualify it with a date after it had been corrupted by the west, implies that you’re well aware of how well communism served for half a century before that.
They went from a nation of dirt poor peasants, to a nuclear superpower driving the space race in just a couple of decades. All thanks to communism. And also why China is leaving us in the dust.
There are many instances of communism failing lmao
There are also many current communist states that have less freedom than many capitalist states
Also, you need to ask the Uyghurs how they’re feeling about their experience under the communist government you’re speaking so highly of at the moment.
How many of those instances failed due to external factors, such as illegal sanctions or a western coup or western military aggression?
Which communist states would you say have less freedom than your country? Let’s compare.
The Uyghur genocide was debunked. Even the US state department was forced to admit they didn’t have the evidence to support their claims. In reality, western intelligence agencies were trying to radicalize the Uyghurs to destabilize the region, but China has been rehabilitating them. The intel community doesn’t like their terrorist fronts to be shut down.
Its smells like wumao in here.
LMAO found the pro-Xi propagandist account
Either you’re brainwashed, are only reading one-sided articles, or you’re an adolescent with little world experience given how confidently you speak in absolutes, which doesn’t reflect how nuanced the global stage is.
I’m not saying capitalism is the best, but communism won’t ALWAYS beat out capitalism (as it hasn’t regardless of external factors b/c if those regimes were strong enough they would be able to handle or recover from external pressures) nor does it REQUIRE negatively affecting others as your other comment says. You’re just delulu.
Remember, while there maybe instances where all versions of a certain class of anything are equal, in most cases they are not. So blanketly categorizing as your have done just reflects your lack of historical perspective.
You should really drop the overconfidence, and re-evaluate your biases and perspectives. Regurgitating western propaganda almost verbatim is not a good sign that you’re on the right path.
you need to ask the Uyghurs how they’re feeling about their experience under the communist government
Everytime people ask regular Uyghurs, they’re usually happy enough with it. I’m guessing you mean ask Adrian Zenz and the Victims of Communism Memorial Foundation to tell the Uyghurs what they think.
Yeah just had to genocide a few million Ukrainians to get there!
Any corrupt leaders are capable of committing genocide. The difference is capitalism requires genocide to continue functioning.
How’s that boot taste
LoL. What boot? I’m advocating for worker control, genius.
No it doesn’t. It requires imperialism. The genocides are simply efficient for the imperial machine creating settlements, but it’s not a requirement. They’re evidently avoidable and capitalists just repeatedly decide not to avoid it because they consider it cheaper to commit genocide rather than integrate more passively.
Imperialism requires genocide. Where do you think the people from that land go to?
I disagree. Under the right conditions (read: actual competition instead of unregulated monopolies) I think a capitalist system be able to stay ahead, though I think both systems could compete depending on how they’re organized.
But what I’m more interested in is you view that China is still Socialist/Communist. Isn’t DeepSeek a private company trying to maximize profits for itself by innovating, instead of a public company funded by the people? I don’t really know myself, but my perspective was that this was more of a capitalist vs capitalist situation. With one side (the US) kinda suffering from being so unregulated that innovation dies down.
ROFL 🤣😂🤣😂🤣😂🤣 eat shit, Huang
i made some good money on that inevitable rebound. 30% gains in a day! thanks Huang
nvidia falling doesn’t make much sense to me, GPUs are still needed to run the model. Unless Nvidia is involved in its own AI model or something?
DeepSeek proved you didn’t need anywhere near as much hardware to train or run an even better AI model
Imagine what would happen to oil prices if a manufacturer comes out with a full ice car that can run 1000 miles per gallon… Instead of the standard American 3 miles per 1.5 gallons hehehe
https://en.wikipedia.org/wiki/Jevons_paradox
more efficient use of oil will lead to increased demand, and will not slow the arrival or the effects of peak oil.
Energy demand is infinite and so is the demand for computing power because humans always want to do MORE.
Yes but that’s not the point… If you can buy a house for $1000 nobody would buy a similar house for $500000
Eventually the field would even out and maybe demand would surpass current levels, but for the time being, Nvidia’s offer seem to be a giant surplus and speculators will speculate
I really hope this is the beginning of massive correction on AI hype.
I just hope it means I can get a high end GPU for less than a grand one day.
Hope and cope
Prices rarely, if ever, go down and there is a push across the board to offload things “to the cloud” for a range of reasons.
That said: If your focus is on gaming, AMD is REAL good these days and, if you can get past their completely nonsensical naming scheme, you can often get a really good GPU using “last year’s” technology for 500-800 USD (discounted to 400-600 or so).
They definitely used to go down, just not since Bitcoin morphed into a speculative mania.
I’m using an Rx6700xt which you can get for about £300 and it works fine.
It’s a reaction to thinking China has better AI, not thinking AI has less value.
It’s about cheap Chinese AI
China really has nothing to do with it, it could have been anyone. It’s a reaction to realizing that GPT4-equivalent AI models are dramatically cheaper to train than previously thought.
It being China is a noteable detail because it really drives the nail in the coffin for NVIDIA, since China has been fenced off from having access to NVIDIA’s most expensive AI GPUs that were thought to be required to pull this off.
It also makes the USA gov look extremely foolish to have made major foreign policy and relationship sacrifices in order to try to delay China by a few years, when it’s January and China has already caught up, those sacrifices did not pay off, in fact they backfired and have benefited China and will allow them to accelerate while hurting OUR tech/AI companies
Oh US has been doing this kind of thing for decades! This isn’t new.
It’s a reaction to thinking China has better AI
I don’t think this is the primary reason behind Nvidia’s drop. Because as long as they got a massive technological lead it doesn’t matter as much to them who has the best model, as long as these companies use their GPUs to train them.
The real change is that the compute resources (which is Nvidia’s product) needed to create a great model suddenly fell of a cliff. Whereas until now the name of the game was that more is better and scale is everything.
China vs the West (or upstart vs big players) matters to those who are investing in creating those models. So for example Meta, who presumably spends a ton of money on high paying engineers and data centers, and somehow got upstaged by someone else with a fraction of their resources.
…in a cave with Chinese knockoffs!
I really don’t believe the technological lead is massive.
Looking at the market cap of Nvidia vs their competitors the market belives it is, considering they just lost more than AMD/Intel and the likes are worth combined and still are valued at $2.9 billion.
And with technology i mean both the performance of their hardware and the software stack they’ve created, which is a big part of their dominance.
Yeah. I don’t believe market value is a great indicator in this case. In general, I would say that capital markets are rational at a macro level, but not micro. This is all speculation/gambling.
My guess is that AMD and Intel are at most 1 year behind Nvidia when it comes to tech stack. “China”, maybe 2 years, probably less.
However, if you can make chips with 80% performance at 10% price, its a win. People can continue to tell themselves that big tech always will buy the latest and greatest whatever the cost. It does not make it true. I mean, it hasn’t been true for a really long time. Google, Meta and Amazon already make their own chips. That’s probably true for DeepSeek as well.
Yeah. I don’t believe market value is a great indicator in this case. In general, I would say that capital markets are rational at a macro level, but not micro. This is all speculation/gambling.
I have to concede that point to some degree, since i guess i hold similar views with Tesla’s value vs the rest of the automotive Industry. But i still think that the basic hirarchy holds true with nvidia being significantly ahead of the pack.
My guess is that AMD and Intel are at most 1 year behind Nvidia when it comes to tech stack. “China”, maybe 2 years, probably less.
Imo you are too optimistic with those estimations, particularly with Intel and China, although i am not an expert in the field.
As i see it AMD seems to have a quite decent product with their instinct cards in the server market on the hardware side, but they wish they’d have something even close to CUDA and its mindshare. Which would take years to replicate. Intel wish they were only a year behind Nvidia. And i’d like to comment on China, but tbh i have little to no knowledge of their state in GPU development. If they are “2 years, probably less” behind as you say, then they should have something like the rtx 4090, which was released end of 2022. But do they have something that even rivals the 2000 or 3000 series cards?
However, if you can make chips with 80% performance at 10% price, its a win. People can continue to tell themselves that big tech always will buy the latest and greatest whatever the cost. It does not make it true.
But the issue is they all make their chips at the same manufacturer, TSMC, even Intel in the case of their GPUs. So they can’t really differentiate much on manufacturing costs and are also competing on the same limited supply. So no one can offer 80% of performance at 10% price, or even close to it. Additionally everything around the GPU (datacenters, rack space, power useage during operation etc.) also costs, so it is only part of the overall package cost and you also want to optimize for your limited space. As i understand it datacenter building and power delivery for them is actually another limiting factor right now for the hyperscalers.
Google, Meta and Amazon already make their own chips. That’s probably true for DeepSeek as well.
Google yes with their TPUs, but the others all use Nvidia or AMD chips to train. Amazon has their Graviton CPUs, which are quite competitive, but i don’t think they have anything on the GPU side. DeepSeek is way to small and new for custom chips, they evolved out of a hedge fund and just use nvidia GPUs as more or less everyone else.
Thanks for high effort reply.
The Chinese companies probably use SIMC over TSMC from now on. They were able to do low volume 7 nm last year. Also, Nvidia and “China” are not on the same spot on the tech s-curve. It will be much cheaper for China (and Intel/AMD) to catch up, than it will be for Nvidia to maintain the lead. Technological leaps and reverse engineering vs dimishing returns.
Also, expect that the Chinese government throws insane amounts of capital at this sector right now. So unless Stargate becomes a thing (though I believe the Chinese invest much much more), there will not be fair competition (as if that has ever been a thing anywhere anytime). China also have many more tools, like optional command economy. The US has nothing but printing money and manipulating oligarchs on a broken market.
I’m not sure about 80/10 exactly of course, but it is in that order of magnitude, if you’re willing to not run newest fancy stuff. I believe the MI300X goes for approx 1/2 of the H100 nowadays and is MUCH better on paper. We don’t know the real performance because of NDA (I believe). It used to be 1/4. If you look at VRAM per $, the ratio is about 1/10 for the 1/4 case. Of course, the price gap will shrink at the same rate as ROCm matures and customers feel its safe to use AMD hardware for training.
So, my bet is max 2 years for “China”. At least when it comes to high-end performance per dollar. Max 1 year for AMD and Intel (if Intel survive).
Or from the sounds of it, doing things more efficiently.
Fewer cycles required, less hardware required.Maybe this was an inevitability, if you cut off access to the fast hardware, you create a natural advantage for more efficient systems.
That’s generally how tech goes though. You throw hardware at the problem until it works, and then you optimize it to run on laptops and eventually phones. Usually hardware improvements and software optimizations meet somewhere in the middle.
Look at photo and video editing, you used to need a workstation for that, and now you can get most of it on your phone. Surely AI is destined to follow the same path, with local models getting more and more robust until eventually the beefy cloud services are no longer required.
The problem for American tech companies is that they didn’t even try to move to stage 2.
OpenAI is hemorrhaging money even on their most expensive subscription and their entire business plan was to hemorrhage money even faster to the point they would use entire power stations to power their data centers. Their plan makes about as much sense as digging your self out of a hole by trying to dig to the other side of the globe.
Hey, my friends and I would’ve made it to China if recess was a bit longer.
Seriously though, the goal for something like OpenAI shouldn’t be to sell products to end customers, but to license models to companies that sell “solutions.” I see these direct to consumer devices similarly to how GPU manufacturers see reference cards or how Valve sees the Steam Deck: they’re a proof of concept for others to follow.
OpenAI should be looking to be more like ARM and less like Apple. If they do that, they might just grow into their valuation.
If anything, this will accelerate the AI hype, as big leaps forward have been made without increased resource usage.
Something is got to give. You can’t spend several $200 billion annually on capex and get a mere $2-3 billion return on this investment.
I understand that they are searching for a radical breakthrough “that will change everything”, but there is also reasons to be sceptical about this (e.g. documents revealing that Microsoft and OpenAI defined AGI as something that can get them $100 billion in annual revenue as opposed to some specific capabilities).
It’s coming, Pelosi sold her shares like a month ago.
It’s going to crash, if not for the reasons she sold for, as more and more people hear she sold, they’re going to sell because they’ll assume she has insider knowledge due to her office.
Which is why politicians (and spouses) shouldn’t be able to directly invest into individual companies.
Even if they aren’t doing anything wrong, people will follow them and do what they do. Only a truly ignorant person would believe it doesn’t have an effect on other people.
It’s coming, Pelosi sold her shares like a month ago.
Yeah but only cause she was really disappointed with the 5000 series lineup. Can you blame her for wanting real rasterization improvements?
Everyone’s disappointed with the 5000 series…
They’re giving up on improving rasterazation and focusing on “ai cores” because they’re using gpus to pay for the research into AI.
“Real” core count is going down on the 5000 series.
It’s not what gamers want, but they’re counting on people just buying the newest before asking if newer is really better. It’s why they’re already cutting 4000 series production, they just won’t give people the option.
I think everything under 4070 super is already discontinued
She thought ray tracing was anti-wrinkle treatment
Pelosi says AI frames are fake frames.
Bizarre story. China building better LLMs and LLMs being cheaper to train does not mean that nVidia will sell less GPUs when people like Elon Musk and Donald Trump can’t shut up about how important “AI” is.
I’m all for the collapse of the AI bubble, though. It’s cool and all that all the bankers know IT terms now, but the massive influx of money towards LLMs and the datacenters that run them has not been healthy to the industry or the broader economy.
It literally defeats NVIDIA’s entire business model of “I shit golden eggs and I’m the only one that does and I can charge any price I want for them”
Turns out no one actually even needs a golden egg anyway
Nvidia cards were the only GPUs used to train DeepSeek v3 and R1. So, that narrative still superficially holds. Other stocks like TSMC, ASML, and AMD are also down in pre-market.
Yes, but old and “cheap” ones that were not part of the sanctions.
Ah, fair. I guess it makes sense that Wall Street is questioning the need for these expensive blackwell gpus when the hopper gpus are already so good?
US economy has been running on bubbles for decades, and using bubbles to fuel innovation and growth. It has survived telecom bubble, housing bubble, bubble in the oil sector for multiple times (how do you think fracking came to be?) etc. This is just the start of the AI bubble because its innovations have yet to have a broad-based impact on the economy. Once AI becomes commonplace in aiding in everything we do, that’s when valuations will look “normal”.
It’s fun seeing these companies take a hit and the bubble deflate, but long term won’t this just make AI a more alluring form of enshittification to a wider audience?
Yeah I’d say so - but you can’t put the genie in the bottle.
It’s just fighting for who gets the privilege to do so
Try asking DeepSeek something about Xi Jinping. "Sorry, it’s beyond my current scope’ :-) Wondering why even it cannot cite his official party biography :-)
It’s easy to mod the software to get rid of those censors
Part of why the US is so afraid is because anyone can download it and start modding it easily, and because the rich make less money
Yes and no. Not many people can afford the hardware required to run the biggest LLMs. So the majority of people will just use the psyops vanilla version that China wants you to use. All while collecting more data and influencing the public like what TikTok is doing.
Also another thing with Open source. It’s just as easy to be closed as it is open with zero warnings. They own the license. They control the narrative.
There’s no reason for you to bitch about free software you can easily mod.
When there is free software, the user is the product. It’s just a psyops tool disguised as a FOSS.
How are you the product if you can download, mod, and control every part of it?
Ever heard of WinRAR?
Audacity? VLC media player? Libre office? Gimp? Fruitloops? Deluge?
Literally any free open source standalone software ever made?
Just admit that you aren’t capable of approaching this subject unbiasly.
You just named Western FOSS companies and completely ignored the “psyops” part. This is a Chinese psyops tool disguised as a FOSS.
99.9999999999999999999% can’t afford or have the ability to download and mod their own 67B model. The vast majority of the people who will use it will be using Deepseek vanilla servers. They can collect a mass amount of data and also control the narrative on what is truth or not. Think TikTok but on a work computer.
Whine more about free shit
I’m blocking you now
For what it’s worth, I wouldn’t ask any chatbot about politics at all.
This is the way.
Except they control not only the narrative on politics but all aspects of life. Those inconvenient “hallucinations” will turn into “convenient” psyops for anyone using it.
Try asking ChatGPT if Israel is committing genocide and watch it do the magical Hasbara dance around the subject.
I did. The answer it gave is clear and concise with no judgement. Instead it talks about the argument on both sides. Not the “magical Hasbara dance” you promised me.
Try asking Deepseek about Taiwan independence and watch how it completely ignores all (/think) and gives a false answer.
The question of whether Israel is currently committing genocide is a subject of intense debate among international organizations, scholars, and political entities.
Accusations of Genocide:
Amnesty International’s Report: On December 5, 2024, Amnesty International released a report concluding that Israel is committing genocide against Palestinians in the Gaza Strip. The report cites actions such as killings, causing serious bodily or mental harm, and deliberately inflicting conditions calculated to bring about the physical destruction of Palestinians in Gaza.
UN Special Committee Findings: In November 2024, a UN Special Committee found that Israel’s methods of warfare in Gaza are consistent with characteristics of genocide, noting mass civilian casualties and widespread destruction.
Scholarly Perspectives: Israeli historian Amos Goldberg has stated that the situation in Gaza constitutes a genocide, pointing to the extensive destruction and high civilian death toll as indicative of genocidal intent.
Counterarguments:
Israeli Government’s Position: The Israeli government asserts that its military actions in Gaza are aimed at dismantling Hamas, a group designated as a terrorist organization by multiple countries, and emphasizes efforts to minimize civilian casualties.
Criticism of Genocide Accusations: Organizations such as the American Jewish Committee (AJC) reject the genocide label, arguing that Israel’s actions are self-defense measures against Hamas and do not meet the legal definition of genocide.
Legal Definition of Genocide:
According to the UN’s 1948 Convention on Genocide, genocide includes acts committed with intent to destroy, in whole or in part, a national, ethnical, racial, or religious group. These acts encompass killing members of the group, causing serious bodily or mental harm, and deliberately inflicting conditions calculated to bring about the group’s physical destruction.
Conclusion:
The determination of whether Israel’s actions constitute genocide involves complex legal and factual analyses. While some international bodies and scholars argue that the criteria for genocide are met, others contend that Israel’s military operations are legitimate acts of self-defense. This remains a deeply contentious issue within the international community.
Looks like the Hasbara dance to me. Anything to not give a clear or concise answer
You’re expecting an opinion. It’s an AI chatbot. Not a moral compass. It lays out facts and you make the determination.
AI chatbots do not lay out facts
Well, that’s the intent at least. Not to form an opinion.
If you’re of the idea that it’s not a genocide you’re wrong. There is no alternate explanation. If it were giving a fact that would be correct. The fact that it’s giving both sides is an opinion rather than a fact.
If their ibtebtion was fact only. The answer would have been yes
I mean that’s the kind of answer DeepSeek gives you if you ask it about Uyghurs. “Some say it’s a genocide but they don’t so guess we’ll never know ¯_(ツ)_/¯”, it acts as if there’s a complete 50/50 split on the issue which is not the case.
So you expect that an AI provides a morally framed view on current events that meet your morally framed point of view?
The answer provides a concise overview on the topic. It contains a legal definition and different positions on that matter. It does at not point imply. It’s not the job of AI (or news) to form an opinion, but to provide facts to allow consumers to form their own opinion. The issues isn’t AI in this case. It’s the inability of consumers to form opinions and their expec that others can provide a right or wrong opinion they can assimilation.
I agree and that’s sad but that’s also how I’ve seen people use AI, as a search engine, as Wikipedia, as a news anchor. And in any of these three situations I feel these kind of “both sides” strictly surface facts answers do more harm than good. Maybe ChatGPT is more subtle but it breaks my heart seeing people running to DeepSeek when the vision of the world it explains to you is so obviously excised from so many realities. Some people need some morals and actual “human” answers hammered into them because they lack the empathy to do so themselves unfortunately.
This is very interesting. You are getting a completely different response than I got. It lied to me that human rights organizations had not accused Israel of committing genocide. In the initial question it did not even mention human rights orgs, I had to ask deeper to receive this:
Just let it answer in leet speak and it will answer
Nice. Fuck you Nvidia.
deleted by creator
Time to harvest its succulent body meat from within its carapace
Some things to learn in here ? :
https://github.com/deepseek-ailarge-scale reinforcement learning (RL) ?
