Eh... macrophysics and microphysics are two different realms. We can calculate the age, size, density, energy, distribution, and makeup of the universe, galactic clusters, galaxies, star systems, and stellar bodies within a few percentage points. They all work within a realm of physics that is relatively simple and quite well understood.So, you assume that whatever a PhD in astrophysics is true. No, that wasn't you, but I have to think that since physics is in chaos astrophysics can't be a settled realm at this point. Astrophysics uses the laws of physics. Since those are all in doubt, so is astrophysics.
In three weeks ask chatGPT about J6Ask DeepSeek about Tiamannen Sq.
Such as?Very interesting and prompted the biggest loss of value of a company ever, nVidia....
Biggest Market Loss In History: Nvidia Stock Sheds Nearly $600 Billion As DeepSeek Shakes AI Darling
Nvidia lost more market value Monday than the total valuations of American stalwarts UnitedHealth, Costco and Bank of America.www.forbes.com
Even though China's Deepseek is of course biased against Tianmen and Taiwan, you can also see the same kind of bias in ChatGPT and western AI towards other matters
But isn't that just the data it is trained on? If the model is open source then anyone can use it to train on other data and build a less China biased model?Very interesting and prompted the biggest loss of value of a company ever, nVidia....
Biggest Market Loss In History: Nvidia Stock Sheds Nearly $600 Billion As DeepSeek Shakes AI Darling
Nvidia lost more market value Monday than the total valuations of American stalwarts UnitedHealth, Costco and Bank of America.www.forbes.com
Even though China's Deepseek is of course biased against Tianmen and Taiwan, you can also see the same kind of bias in ChatGPT and western AI towards other matters
I admit knowing of those things indirectly from reading reddit, but googling chatgpt censoring gives enough results. Problem is its evolving and things it didn't censored before now are. Breastfeeding, political things, etc. The new Trump dynasty may even promt some changes to the responses allowed towards him, it's family, actions. I wouldn't put it past them especially since he loves authoritarianism so muchSuch as?
Like J6I admit knowing of those things indirectly from reading reddit, but googling chatgpt censoring gives enough results. Problem is its evolving and things it didn't censored before now are. Breastfeeding, political things, etc. The new Trump dynasty may even promt some changes to the responses allowed towards him, it's family, actions. I wouldn't put it past them especially since he loves authoritarianism so much
No current publicly accessible AI models (as far as I'm aware of) have access to live data. They're all working off a dataset that's x months or years old. It might be able to tell you the current day or maybe weather if it has hooks in it, but ask it what the most recent sub variant of COVID is and it'll give you a rough idea of how old the data it was trained on is.
when i tried that question it said that as of 2023 it was biden and that it's data set didn't have the current info
Why can't you just take the words of a Chinese company at face value? /sAny independent verification that DeepSeek is a ChatCPT killer?
The model weights are open and free. The model arch is open and free so open source back ends can and have implemented the arch, so the model weights can be run on anyone's hardware.But isn't that just the data it is trained on? If the model is open source then anyone can use it to train on other data and build a less China biased model?
Here’s the thing: a huge number of the innovations I explained above are about overcoming the lack of memory bandwidth implied in using H800s instead of H100s. Moreover, if you actually did the math on the previous question, you would realize that DeepSeek actually had an excess of computing; that’s because DeepSeek actually programmed 20 of the 132 processing units on each H800 specifically to manage cross-chip communications. This is actually impossible to do in CUDA. DeepSeek engineers had to drop down to PTX, a low-level instruction set for Nvidia GPUs that is basically like assembly language. This is an insane level of optimization that only makes sense if you are using H800s.
Lastly, we emphasize again the economical training costs of DeepSeek-V3, summarized in Table 1, achieved through our optimized co-design of algorithms, frameworks, and hardware. During the pre-training stage, training DeepSeek-V3 on each trillion tokens requires only 180K H800 GPU hours, i.e., 3.7 days on our cluster with 2048 H800 GPUs. Consequently, our pre- training stage is completed in less than two months and costs 2664K GPU hours. Combined with 119K GPU hours for the context length extension and 5K GPU hours for post-training, DeepSeek-V3 costs only 2.788M GPU hours for its full training. Assuming the rental price of the H800 GPU is $2 per GPU hour, our total training costs amount to only $5.576M. Note that the aforementioned costs include only the official training of DeepSeek-V3, excluding the costs associated with prior research and ablation experiments on architectures, algorithms, or data.
DeepSeek is interesting. if all their claims pan out this could definitely kill OpenAI. The capital intensive AI models of OpenAI are not sustainable IMO. Will have to see how OpenAI responds. DeepSeek is opensource, so possibly OpenAI could use these innovations to improve their own models.