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DeepSeek R2 An Atom Bomb For USA BigTech

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Manage episode 471555503 series 3610932
Content provided by Pragmatic AI Labs and Noah Gift. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pragmatic AI Labs and Noah Gift 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.

Podcast Notes: DeepSeek R2 - The Tech Stock "Atom Bomb"

Overview

  • DeepSeek R2 could heavily impact tech stocks when released (April or May 2025)
  • Could threaten OpenAI, Anthropic, and major tech companies
  • US tech market already showing weakness (Tesla down 50%, NVIDIA declining)

Cost Claims

  • DeepSeek R2 claims to be 40 times cheaper than competitors
  • Suggests AI may not be as profitable as initially thought
  • Could trigger a "race to zero" in AI pricing

NVIDIA Concerns

  • NVIDIA's high stock price depends on GPU shortage continuing
  • If DeepSeek can use cheaper, older chips efficiently, threatens NVIDIA's model
  • Ironically, US chip bans may have forced Chinese companies to innovate more efficiently

The Cloud Computing Comparison

  • AI could follow cloud computing's path (AWS → Azure → Google → Oracle)
  • Becoming a commodity with shrinking profit margins
  • Basic AI services could keep getting cheaper ($20/month now, likely lower soon)

Open Source Advantage

  • Like Linux vs Windows, open source AI could dominate
  • Most databases and programming languages are now open source
  • Closed systems may restrict innovation

Global AI Landscape

  • Growing distrust of US tech companies globally
  • Concerns about data privacy and government surveillance
  • Countries might develop their own AI ecosystems
  • EU could lead in privacy-focused AI regulation

AI Reality Check

  • LLMs are "sophisticated pattern matching," not true intelligence
  • Compare to self-checkout: automation helps but humans still needed
  • AI will be a tool that changes work, not a replacement for humans

Investment Impact

  • Tech stocks could lose significant value in next 2-6 months
  • Chip makers might see reduced demand
  • Investment could shift from AI hardware to integration companies or other sectors

Conclusion

  • DeepSeek R2 could trigger "cascading failure" in big tech
  • More focus on local, decentralized AI solutions
  • Human-in-the-loop approach likely to prevail
  • Global tech landscape could look very different in 10 years

🔥 Hot Course Offers:

🚀 Level Up Your Career:

Learn end-to-end ML engineering from industry veterans at PAIML.COM

  continue reading

213 episodes

Artwork
iconShare
 
Manage episode 471555503 series 3610932
Content provided by Pragmatic AI Labs and Noah Gift. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pragmatic AI Labs and Noah Gift 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.

Podcast Notes: DeepSeek R2 - The Tech Stock "Atom Bomb"

Overview

  • DeepSeek R2 could heavily impact tech stocks when released (April or May 2025)
  • Could threaten OpenAI, Anthropic, and major tech companies
  • US tech market already showing weakness (Tesla down 50%, NVIDIA declining)

Cost Claims

  • DeepSeek R2 claims to be 40 times cheaper than competitors
  • Suggests AI may not be as profitable as initially thought
  • Could trigger a "race to zero" in AI pricing

NVIDIA Concerns

  • NVIDIA's high stock price depends on GPU shortage continuing
  • If DeepSeek can use cheaper, older chips efficiently, threatens NVIDIA's model
  • Ironically, US chip bans may have forced Chinese companies to innovate more efficiently

The Cloud Computing Comparison

  • AI could follow cloud computing's path (AWS → Azure → Google → Oracle)
  • Becoming a commodity with shrinking profit margins
  • Basic AI services could keep getting cheaper ($20/month now, likely lower soon)

Open Source Advantage

  • Like Linux vs Windows, open source AI could dominate
  • Most databases and programming languages are now open source
  • Closed systems may restrict innovation

Global AI Landscape

  • Growing distrust of US tech companies globally
  • Concerns about data privacy and government surveillance
  • Countries might develop their own AI ecosystems
  • EU could lead in privacy-focused AI regulation

AI Reality Check

  • LLMs are "sophisticated pattern matching," not true intelligence
  • Compare to self-checkout: automation helps but humans still needed
  • AI will be a tool that changes work, not a replacement for humans

Investment Impact

  • Tech stocks could lose significant value in next 2-6 months
  • Chip makers might see reduced demand
  • Investment could shift from AI hardware to integration companies or other sectors

Conclusion

  • DeepSeek R2 could trigger "cascading failure" in big tech
  • More focus on local, decentralized AI solutions
  • Human-in-the-loop approach likely to prevail
  • Global tech landscape could look very different in 10 years

🔥 Hot Course Offers:

🚀 Level Up Your Career:

Learn end-to-end ML engineering from industry veterans at PAIML.COM

  continue reading

213 episodes

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