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Can Your Laptop Handle DeepSeek, or Do You Need A Supercomputer?

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Manage episode 492246694 series 3572101
Content provided by The Neuron. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Neuron or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In Ep 3 we explore DeepSeek's open-source R-series models that claim GPT-4-level performance at a fraction of the cost. We unpack whether you can realistically run DeepSeek on a laptop, where it beats (and lags) OpenAI, and the serious security implications of using Chinese AI services. Listeners will learn the economics, hardware realities, and safe alternatives for using these powerful open-source models.

How to pick the best AI for what you actually need:

https://www.theneuron.ai/newsletter/how-to-pick-the-best-ai-model-for-what-you-actually-need

Artificial Analysis to compare top AI models:

https://artificialanalysis.ai/

Previous coverage of DeepSeek:

https://www.theneuron.ai/newsletter/deepseek-returns

https://www.theneuron.ai/newsletter/10-wild-deepseek-demos

https://www.theneuron.ai/explainer-articles/deepseek-r2-could-crush-ai-economics-with-97-lower-costs-than-gpt-4

U.S. Military allegations against DeepSeek:

https://www.reuters.com/world/china/deepseek-aids-chinas-military-evaded-export-controls-us-official-says-2025-06-23/

ChatGPT data privacy concerns:

https://www.theneuron.ai/explainer-articles/your-chatgpt-logs-are-no-longer-private-and-everyones-freaking-out

OpenAI’s response to NYT lawsuit demands:

https://openai.com/index/response-to-nyt-data-demands/

How to run Open source models:

Go to Hugging Face for the models: https://huggingface.co/

Use Ollama or LM Studio (our recommendation) to run the model locally:

https://ollama.com/

https://lmstudio.ai/

  continue reading

22 episodes

Artwork
iconShare
 
Manage episode 492246694 series 3572101
Content provided by The Neuron. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Neuron or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In Ep 3 we explore DeepSeek's open-source R-series models that claim GPT-4-level performance at a fraction of the cost. We unpack whether you can realistically run DeepSeek on a laptop, where it beats (and lags) OpenAI, and the serious security implications of using Chinese AI services. Listeners will learn the economics, hardware realities, and safe alternatives for using these powerful open-source models.

How to pick the best AI for what you actually need:

https://www.theneuron.ai/newsletter/how-to-pick-the-best-ai-model-for-what-you-actually-need

Artificial Analysis to compare top AI models:

https://artificialanalysis.ai/

Previous coverage of DeepSeek:

https://www.theneuron.ai/newsletter/deepseek-returns

https://www.theneuron.ai/newsletter/10-wild-deepseek-demos

https://www.theneuron.ai/explainer-articles/deepseek-r2-could-crush-ai-economics-with-97-lower-costs-than-gpt-4

U.S. Military allegations against DeepSeek:

https://www.reuters.com/world/china/deepseek-aids-chinas-military-evaded-export-controls-us-official-says-2025-06-23/

ChatGPT data privacy concerns:

https://www.theneuron.ai/explainer-articles/your-chatgpt-logs-are-no-longer-private-and-everyones-freaking-out

OpenAI’s response to NYT lawsuit demands:

https://openai.com/index/response-to-nyt-data-demands/

How to run Open source models:

Go to Hugging Face for the models: https://huggingface.co/

Use Ollama or LM Studio (our recommendation) to run the model locally:

https://ollama.com/

https://lmstudio.ai/

  continue reading

22 episodes

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