China's DeepSeek AI Just Cancelled The US Stock Market
Published: 2025-01-28
Status:
Available
|
Analyzed
Published: 2025-01-28
Status:
Available
|
Analyzed
Predictions from this Video
Incorrect: 0
Prediction
Topic
Status
DeepSeek AI was developed in 2 months for under $6 million, significantly less than the time and cost incurred by Google and OpenAI.
"what took Google and open AI years and hundreds of millions of dollars to build deep seek says took it just 2 months and less than $6 million"
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DeepSeek AI possesses advanced capabilities including building video games with unknown programming languages, extracting reasoning from data for precise problem-solving, real-time adaptation with logic explanation, and predicting viral trends by scraping YouTube data.
"imagine an AI that can build entire video games from scratch even if it has to use programming language it wasn't originally trained on it can do that imagine an AI that can extract just the reasoning from complex data sets to solve problems with super sharp Precision it can do that imagine an AI that thinks in real time adapting to new information as it comes in while telling you its logic it can do that an AI that can also scrape data from YouTube channels to analyze Trends and potentially predict what's going to go viral next and it can do that too"
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DeepSeek AI's development cost was approximately $5.6 million, a fraction of the billions of dollars spent annually by US tech companies like OpenAI on AI development.
"US tech companies like open aai spend over $5 billion a year and many more billions of dollars to develop this technology and this model from China cost $5.6 million to create not billions a few million"
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DeepSeek AI was developed in 2 months for less than $6 million, significantly faster and cheaper than Google and OpenAI's development timelines and costs.
"what took Google and open AI years and hundreds of millions of dollars to build deep seek says took it just 2 months and less than $6 million"
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DeepSeek R1 is 10 times cheaper than OpenAI's models, offers comparable or better performance than GPT-4, and outperformed Llama, GPT-4o, and Claude Sonnet 3.5 in various tests including math, coding, and bug fixing.
"deep seek r1 which is one of its open-source language learning models is 10 times cheaper than open AI while having an almost identical performance and in some cases better than gp4 it beat meta's llama open ai's GPT 40 and anthropics Claud Sonet 3.5 on accuracy on wide ranging tests a subset of 500 math problems an AI math evaluation coding competitions and a test of spotting and fixing bugs in code"
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DeepSeek R1 is 10x cheaper than OpenAI's models and performs comparably or better than GPT-4, Llama, GPT-4o, and Claude Sonnet 3.5 on various benchmarks including math, coding, and bug fixing.
"deep seek R1 which is one of its open-source language learning models is 10 times cheaper than open AI while having an almost identical performance and in some cases better than gp4. it beat meta's llama open ai's GPT 40 and anthropics Claud Sonet 3.5 on accuracy on wide ranging tests a subset of 500 math problems an AI math evaluation coding competitions and a test of spotting and fixing bugs in code"
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DeepSeek R1 is significantly more cost-effective than OpenAI's offerings while maintaining competitive or superior performance.
"deep seek R1 which is one of its open-source language learning models is 10 times cheaper than open AI while having an almost identical performance and in some cases better than gp4"
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OpenAI's API costs $440 per million tokens, while DeepSeek's API costs only $0.10 per million tokens.
"open aai charges $440 per million tokens deep seeks API costs just 10 cents per million tokens"
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China has caught up to US AI technology with limited resources and hardware by developing workarounds, potentially challenging OpenAI's dominance.
"China was able to recreate and catch up with our AI technology on a very limited budget with very limited access to the hardware that would make this possible and because of this economic limitation they figured out workarounds and pretty much ended open AI dominance"
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DeepSeek's AI model is performing at the top tier, on par with or exceeding the best American AI models.
"deep seek which is the leading Chinese AI lab their model uh is actually the top performing or roughly on par with the best American models"
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A loss of perceived US dominance in AI could lead to a significant sell-off in the tech sector.
"if investors start to doubt us dominance in AI we could see an even bigger sell-off in Tech than we already have"
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The wealth held in art and collectibles is projected to reach nearly $2.9 trillion by 2026.
"projected to hit almost 2.9 trillion by 2026"
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DeepSeek developed its AI technology in just two months at a significantly lower cost compared to US companies.
"they did it in Just 2 months and at a fraction of the cost that us companies spent"
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DeepSeek's Chain of Thought reasoning feature allows it to demonstrate its problem-solving process step-by-step, enhancing transparency and reliability for complex tasks.
"one of deep seeks most impressive features is called Chain of Thought reasoning this means the model doesn't just spit out answers at you it shows you its thinking process for example if you ask it to solve a math problem it will first break down the problem into smaller steps explain why it's doing what it's doing and then it'll give you the final answer"
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The next significant market driver and investment focus in AI will shift from software to hardware.
"the next story of what's about to drive the market and all the hype and all the money that's going to go into it is less software Aid driven and more Hardware AI driven"
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The next stage of AI development will involve feeding systems with physical data, leading to robots that can perform tasks and learn to build and create.
"the next phase will be feeding these systems with practical physical data and I'm talking about robots actual robots doing things and learning how to build and create which will be the next leg of this race"
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Chain of Thought models, exemplified by DeepSeek R1, are superior to traditional language models in managing intricate, multi-step problems.
"Chain of Thought models like deep seek R1 are much better at handling complex multi-step problems than traditional language learning models"
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DeepSeek optimized its training process to maximize the performance of less powerful Nvidia H800 GPUs, achieving efficiency despite hardware limitations.
"they used nvidia's h800 gpus which are less powerful than the h100s but they optimize their training process to squeeze every ounce of power out of them"
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China has made remarkable advancements in AI over the past six months.
"China has caught up in the last 6 months in a way that is remarkable"
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Chinese AI development is utilizing advanced techniques like Mixture of Experts architecture and 8-bit Float Point training to reduce computational costs and maintain stability.
"they also use super clever techniques like mixture of experts architecture and 8bit Float Point training which lowered their computational costs while maintaining stability"
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AI distillation is a process where a large model is used to train a smaller model, enhancing its capabilities in specific areas.
"they can take a uh a really good big model and use a process called distillation and what distillation is is basically you use a very large model to help your small model get smart at the thing that you wanted to get smart at"
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The US and companies like OpenAI opt for closed-source AI, while DeepSeek and China embrace open-source, making the code publicly accessible and free to use.
"the United States and its companies decided to go close Source in other words the technology and its code is not available to the public which is a big criticism that Elon Musk had against open AI deep seek and China decided to go the other way the open- source way meaning the code is public for everyone to copy and use without paying a huge amount of money"
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OpenAI's API costs are $440 per million tokens, while DeepSeek's API costs are only $0.10 per million tokens.
"open aai charges $440 per million tokens deep seeks API costs just 10 cents per million tokens"
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US developers are increasingly adopting DeepSeek's platform over OpenAI due to cost advantages.
"American developers are already building on deep seek platform instead of open AI"
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Widespread deployment of China's AI technology at scale could grant them a significant advantage in economic and military sectors.
"if China is successful in deploying this technology at scale it could give them a significant Edge in everything from economic growth to even military dominance"
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A loss of confidence in US AI dominance could trigger a substantial sell-off in the tech market.
"if investors start to doubt us dominance in AI we could see an even bigger sell-off in Tech than we already have"
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A single news story related to AI advancements resulted in over $620 billion in market losses in one day.
"we're looking at over $620 billion in Market losses in just one day from one news story"
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Blue-chip contemporary art has demonstrated a negative correlation with stocks over the past 30 years, making it a potential alternative investment.
"one alternative asset class has actually had a negative correlation to stocks over the last 30 years and I'm talking about Blue Chip Contemporary Art"
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The global art and collectibles market is projected to grow from $2.2 trillion in 2023 to nearly $2.9 trillion by 2026.
"in 2023 deoe estimated the overall wealth held in art and collectibles was nearly $2.2 trillion and projected to hit almost 2.9 trillion by 2026"
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The recent AI developments raise questions about the future valuation of AI stocks.
"what does this all mean for the valuation of some of these AI stocks now that this has happened"
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Building AI models is described as a potential 'money trap'.
"AI Motel building is a money trap"
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The next major market trend and investment focus will shift from software AI to hardware AI.
"the next story of what's about to drive the market and all the hype and all the money that's going to go into it is less software Aid driven and more Hardware AI driven"
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The next evolution of AI will involve feeding systems with physical data through robots that learn to build and create.
"the next phase will be feeding these systems with practical physical data and I'm talking about robots actual robots doing things and learning how to build and create"
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