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DeepSeek temporarily limits registration to Chinese mobile numbers

13 points by sabas_ge 2y ago

deleted 2y ago
[deleted]
turnsout 2y ago
As someone who follows AI basically minute-to-minute, I'm a little confused about why everyone is freaking out so much about DeepSeek & R1. Normal (non-tech) people are asking me about it today. The stock market is freaking out. Why is this news—which is mostly technical and incremental—causing such panic?
- verdverm 2y ago
  They seem to have matched OpenAI model capability on a fraction of the resources. R1 is roughly as good as o1 and can be run locally. There are some interesting contributions in the paper too. So I see it as two parts, (1) the money, lots invested, wondering if they will ever make it back now (2) China showing impressive results while being handicapped by the West https://arxiv.org/abs/2501.12948 https://arxiv.org/abs/2501.12948 Keep an eye on the effort to reproduce here: https://github.com/huggingface/open-r1 https://github.com/huggingface/open-r1 We will see if the (over?) reaction matches reality in time. Media sure loves to whipsaw us all around
  - turnsout 2y ago
    That's all cool, but this has been the cat and mouse game with "open" models for years now, right?
    - verdverm 2y ago
      Open models have only really become useful in the last year or so and still required significant investment to build. They have still lagged behind closed models in capability. though still not matching the best models, this shows that the gap has closed significantly and the cost to produce should be much lower. Another thing to consider is society & the market is not currently rationale, lots of wild swings, over reactions, messaging & beliefs at the extremes
    - stogot 2y ago
      MIT license
      - turnsout 2y ago
        Some people complain when the training code is not also open sourced, hence the scare quotes.
- Jimmc414 2y ago
  The big news with DeepSeek-R1 is that it only takes ~800k samples of 'good' RL reasoning to convert other models into RL-reasoners. They successfully distilled the reasoning capabilities from larger models into much smaller ones. e.g. Their 14B model outperforms other 32B models.
RunOutOfMemory 2y ago
Due to large-scale malicious attacks on DeepSeek's services, we are temporarily limiting registrations to ensure continued service. Existing users can log in as usual. Thanks for your understanding and support.
nytesky 2y ago
Has deepseek spend been independently audited? Also, does it have similar national security concerns as TikTok?
- ncr5012 2y ago
  No, it has not been audited, and it has strong incentives to lie about its costs as if it announced costs anywhere near OpenAI it would be admitting to violating US Law.
HansItsMe 2y ago
China's AI says it is using less power and cost less, yet what I heard is that it's more powerful. How can it be? I know that China lies about it, but can people be that gullible to believe that?

13 points by sabas_ge 2y ago

deleted 2y ago

[deleted]

As someone who follows AI basically minute-to-minute, I'm a little confused about why everyone is freaking out so much about DeepSeek & R1. Normal (non-tech) people are asking me about it today. The stock market is freaking out. Why is this news—which is mostly technical and incremental—causing such panic?

verdverm 2y ago
They seem to have matched OpenAI model capability on a fraction of the resources. R1 is roughly as good as o1 and can be run locally. There are some interesting contributions in the paper too. So I see it as two parts, (1) the money, lots invested, wondering if they will ever make it back now (2) China showing impressive results while being handicapped by the West https://arxiv.org/abs/2501.12948 https://arxiv.org/abs/2501.12948 Keep an eye on the effort to reproduce here: https://github.com/huggingface/open-r1 https://github.com/huggingface/open-r1 We will see if the (over?) reaction matches reality in time. Media sure loves to whipsaw us all around
- turnsout 2y ago
  That's all cool, but this has been the cat and mouse game with "open" models for years now, right?
  - verdverm 2y ago
    Open models have only really become useful in the last year or so and still required significant investment to build. They have still lagged behind closed models in capability. though still not matching the best models, this shows that the gap has closed significantly and the cost to produce should be much lower. Another thing to consider is society & the market is not currently rationale, lots of wild swings, over reactions, messaging & beliefs at the extremes
  - stogot 2y ago
    MIT license
    - turnsout 2y ago
      Some people complain when the training code is not also open sourced, hence the scare quotes.
Jimmc414 2y ago
The big news with DeepSeek-R1 is that it only takes ~800k samples of 'good' RL reasoning to convert other models into RL-reasoners. They successfully distilled the reasoning capabilities from larger models into much smaller ones. e.g. Their 14B model outperforms other 32B models.

RunOutOfMemory 2y ago

Due to large-scale malicious attacks on DeepSeek's services, we are temporarily limiting registrations to ensure continued service. Existing users can log in as usual. Thanks for your understanding and support.

nytesky 2y ago

Has deepseek spend been independently audited? Also, does it have similar national security concerns as TikTok?

ncr5012 2y ago
No, it has not been audited, and it has strong incentives to lie about its costs as if it announced costs anywhere near OpenAI it would be admitting to violating US Law.

HansItsMe 2y ago

China's AI says it is using less power and cost less, yet what I heard is that it's more powerful. How can it be? I know that China lies about it, but can people be that gullible to believe that?