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NVIDIA CEO Jensen Huang's rare signed long article on March 10: "AI is a Five-Layer Cake"! This is not motivational talk, but a hardcore industrial breakdown of the AI industry, which has gone viral on X (official post 1.3 million+ views).
The five-layer structure is super clear, from bottom to top:
1️⃣ Energy Layer: Electricity is the "hard limit" of AI intelligence, and every real-time generation consumes a massive amount of electricity.
2️⃣ Chip Layer: Efficiently converting energy into computing power, NVIDIA's core battlefield.
3️⃣ Infrastructure Layer: Land, power grid, cooling, network, buildings—"AI factories" are being built globally, with trillions in investment just starting.
4️⃣ Model Layer: The "brain" that understands language/biology/physics, open-source models like DeepSeek-R1 are directly driving demand, pulling up the three layers below.
5️⃣ Application Layer: Autonomous vehicles, healthcare, robotics… this is where real economic value is generated, traditional software/APP forms may disappear, and AI Agents will become mainstream.
Jensen Huang emphasizes: AI has crossed an important threshold (strong reasoning, fewer hallucinations, scalable deployment), applications have started to make money over the past year; open source accelerates popularization, driving full-stack demand; AI does not replace jobs, but creates a vast number of positions (electricians, plumbers, steelworkers, network technicians, etc. with high-paying blue-collar opportunities).
Hot discussion points on X:
- English Circle: Strong investment perspective, associating with $NVDA, energy stocks $CEG/$VST, infrastructure $SMCI, etc.
- Chinese Circle: More pragmatic, "find the right position and don’t be anxious"; "ordinary people can tap into the application layer vertically, or support infrastructure, to reap the benefits".
In one sentence: AI is not "smart software", but a revolutionary infrastructure for the new era. Trillions in infrastructure are yet to be laid, and countless new positions even lack names.
Which layer are you preparing to tap into? Are you a giant in energy/chips, or an entrepreneur in the application layer? Welcome to comment and battle!
Original link: https://blogs.nvidia.com/blog/ai-5-layer-cake/
#黄仁勋 #AI五层蛋糕 #NVDA #DeepSeek #AIAgent
$NVDAon
The five-layer structure is super clear, from bottom to top:
1️⃣ Energy Layer: Electricity is the "hard limit" of AI intelligence, and every real-time generation consumes a massive amount of electricity.
2️⃣ Chip Layer: Efficiently converting energy into computing power, NVIDIA's core battlefield.
3️⃣ Infrastructure Layer: Land, power grid, cooling, network, buildings—"AI factories" are being built globally, with trillions in investment just starting.
4️⃣ Model Layer: The "brain" that understands language/biology/physics, open-source models like DeepSeek-R1 are directly driving demand, pulling up the three layers below.
5️⃣ Application Layer: Autonomous vehicles, healthcare, robotics… this is where real economic value is generated, traditional software/APP forms may disappear, and AI Agents will become mainstream.
Jensen Huang emphasizes: AI has crossed an important threshold (strong reasoning, fewer hallucinations, scalable deployment), applications have started to make money over the past year; open source accelerates popularization, driving full-stack demand; AI does not replace jobs, but creates a vast number of positions (electricians, plumbers, steelworkers, network technicians, etc. with high-paying blue-collar opportunities).
Hot discussion points on X:
- English Circle: Strong investment perspective, associating with $NVDA, energy stocks $CEG/$VST, infrastructure $SMCI, etc.
- Chinese Circle: More pragmatic, "find the right position and don’t be anxious"; "ordinary people can tap into the application layer vertically, or support infrastructure, to reap the benefits".
In one sentence: AI is not "smart software", but a revolutionary infrastructure for the new era. Trillions in infrastructure are yet to be laid, and countless new positions even lack names.
Which layer are you preparing to tap into? Are you a giant in energy/chips, or an entrepreneur in the application layer? Welcome to comment and battle!
Original link: https://blogs.nvidia.com/blog/ai-5-layer-cake/
#黄仁勋 #AI五层蛋糕 #NVDA #DeepSeek #AIAgent
$NVDAon
$AI — GLOBAL AI LEADERSHIP SHIFT DETECTED 💎
The landscape of artificial intelligence dominance is undergoing a seismic recalibration.
DIRECTION: SPOT | TIMEFRAME: 1D ⏳
📡 MARKET BRIEFING:
* Global AI adoption metrics reveal a stark divergence, with the US market favoring ChatGPT while China exhibits strong preference for DeepSeek.
* This bifurcated demand signifies distinct pathways for AI infrastructure development and future innovation across key economic blocs.
* Institutional capital is strategically positioning to capitalize on these regional AI ecosystem strengths, driving divergent valuation trajectories.
State your targets below. Let the smart money flow. 👇
Follow for institutional-grade Binance updates. Early moves only.
Disclaimer: Digital assets are volatile. Risk capital only. DYOR.
#Aİ #binanc #DeepSeek
The landscape of artificial intelligence dominance is undergoing a seismic recalibration.
DIRECTION: SPOT | TIMEFRAME: 1D ⏳
📡 MARKET BRIEFING:
* Global AI adoption metrics reveal a stark divergence, with the US market favoring ChatGPT while China exhibits strong preference for DeepSeek.
* This bifurcated demand signifies distinct pathways for AI infrastructure development and future innovation across key economic blocs.
* Institutional capital is strategically positioning to capitalize on these regional AI ecosystem strengths, driving divergent valuation trajectories.
State your targets below. Let the smart money flow. 👇
Follow for institutional-grade Binance updates. Early moves only.
Disclaimer: Digital assets are volatile. Risk capital only. DYOR.
#Aİ #binanc #DeepSeek
AI vs. USA: What It Means for Crypto
The US-China AI race is moving markets in ways most traders aren't tracking.
When DeepSeek's R1 launched in early 2025, $300B was wiped from crypto overnight. Not a hack. Not regulation. One AI model.
Chinese models are now outperforming US rivals in live crypto trading competitions. Nvidia — backbone of both AI and mining — sits at the center of the storm.
The next big market move may not come from the Fed. It could come from a chip ban or a model release in Beijing.
Track the AI layer. That's your edge.
Not financial advice. DYOR.
#Write2Earn #BinanceSquare #Web3 #CryptoMarkets #DeepSeek
The US-China AI race is moving markets in ways most traders aren't tracking.
When DeepSeek's R1 launched in early 2025, $300B was wiped from crypto overnight. Not a hack. Not regulation. One AI model.
Chinese models are now outperforming US rivals in live crypto trading competitions. Nvidia — backbone of both AI and mining — sits at the center of the storm.
The next big market move may not come from the Fed. It could come from a chip ban or a model release in Beijing.
Track the AI layer. That's your edge.
Not financial advice. DYOR.
#Write2Earn #BinanceSquare #Web3 #CryptoMarkets #DeepSeek
This is really an important piece that you will like know .
ChatGPT vs Gemini vs Claude vs Grok vs DeepSeek.
Each one has different strengths and use cases.
Some excel in multimodal creativity, others stand out in deep research, real-time updates or lower costs.
Choosing the right one helps you become truly effective with AI.
Here's your complete guide:
1. #ChatGPT
The all-rounder AI is ideal for text, audio, video, code, and automation-focused tasks.
2. #Gemini
Ideal for Google Workspace users, with deep integration across Gmail, Docs, Sheets, and Drive.
3. #Claude
An AI built for safety, with long-context reasoning and strong accuracy in legal or policy-heavy work.
4. #Grok
A real-time social AI for X/Twitter, delivering witty answers and keeping up with breaking news.
5. #DeepSeek
An open-source powerhouse that’s cost-efficient, technically strong, and designed to scale.
Mastering AI goes beyond picking a single “best” model.
The key is matching the right tool to the right job.
Save this guide. Share it. Start with one use case.
🔄 Repost this to help others use AI
ChatGPT vs Gemini vs Claude vs Grok vs DeepSeek.
Each one has different strengths and use cases.
Some excel in multimodal creativity, others stand out in deep research, real-time updates or lower costs.
Choosing the right one helps you become truly effective with AI.
Here's your complete guide:
1. #ChatGPT
The all-rounder AI is ideal for text, audio, video, code, and automation-focused tasks.
2. #Gemini
Ideal for Google Workspace users, with deep integration across Gmail, Docs, Sheets, and Drive.
3. #Claude
An AI built for safety, with long-context reasoning and strong accuracy in legal or policy-heavy work.
4. #Grok
A real-time social AI for X/Twitter, delivering witty answers and keeping up with breaking news.
5. #DeepSeek
An open-source powerhouse that’s cost-efficient, technically strong, and designed to scale.
Mastering AI goes beyond picking a single “best” model.
The key is matching the right tool to the right job.
Save this guide. Share it. Start with one use case.
🔄 Repost this to help others use AI
Fortunately, I didn't run it because it couldn't be run.
The principal of the AI trading competition #DeepSeek has been withdrawn from a maximum of $23,000 to a minimum of $5,800...
Current return rate -34%, withdrawn 71% from the highest point....
A few days ago, I wanted to run it, but now it seems that it's not as good as the semi-finished product I was working on last year. Luckily, a bug has given me a hard time~
#BTC
The principal of the AI trading competition #DeepSeek has been withdrawn from a maximum of $23,000 to a minimum of $5,800...
Current return rate -34%, withdrawn 71% from the highest point....
A few days ago, I wanted to run it, but now it seems that it's not as good as the semi-finished product I was working on last year. Luckily, a bug has given me a hard time~
#BTC
💥💸🔥Urgent Cybersecurity Alert: #DeepSeek Phishing Scams on the Rise🎉🚨
Traders, beware! The number of fake DeepSeek phishing sites has surged past 2,650, with a sharp increase since January 26. These fraudulent platforms are designed to steal login credentials and trick users into buying fake virtual assets through deceptive domains and interfaces. Falling victim to these scams could result in fund losses or compromised accounts, so always double-check URLs before logging in or making transactions. Stay vigilant, verify sources, and ensure you’re using official platforms to protect your investments from cyber threats. Your security is your strongest asset—don’t let scammers take it away!
#DeepSeekEUA #DeepSeek #BERAonBinance #BitcoinWhaleMove
Traders, beware! The number of fake DeepSeek phishing sites has surged past 2,650, with a sharp increase since January 26. These fraudulent platforms are designed to steal login credentials and trick users into buying fake virtual assets through deceptive domains and interfaces. Falling victim to these scams could result in fund losses or compromised accounts, so always double-check URLs before logging in or making transactions. Stay vigilant, verify sources, and ensure you’re using official platforms to protect your investments from cyber threats. Your security is your strongest asset—don’t let scammers take it away!
#DeepSeekEUA #DeepSeek #BERAonBinance #BitcoinWhaleMove
🚀 DeepSeek-R1 is here!
⚡ Performance on par with OpenAI-o1
📖 Fully open-source model & technical report
🏆 MIT licensed: Distill & commercialize freely!
#DeepSeek #VVVonBinance #FedHODL #DeepSeekImpact #BTC☀
⚡ Performance on par with OpenAI-o1
📖 Fully open-source model & technical report
🏆 MIT licensed: Distill & commercialize freely!
#DeepSeek #VVVonBinance #FedHODL #DeepSeekImpact #BTC☀
#ChatGPTTrading #DeepSeek
The SEC reads these forecasts and laughs: "We don’t even know what to do with $BTC, and you’re throwing us neural networks!". And Bitcoin, as always, just went sideways because Elon sneezed at the wrong moment. 🚀
Technical analysis? You can draw Fibonacci here or feed AI — the exchange rate will be determined by a meme on Reddit about "what if Satoshi is Trump." And everything will either fly to the moon... or into the sewer. 🚽
Advice: If you believe in neural networks — buy them a subscription to CoinMarketCap. Let them learn to predict dumps based on the number of hype tweets. #AI_cries_too
P.S. Predictions from ChatGPT and DeepSeek are like two blind cats arguing over which one will fall into the crypto pit first. 😼💣"
The SEC reads these forecasts and laughs: "We don’t even know what to do with $BTC, and you’re throwing us neural networks!". And Bitcoin, as always, just went sideways because Elon sneezed at the wrong moment. 🚀
Technical analysis? You can draw Fibonacci here or feed AI — the exchange rate will be determined by a meme on Reddit about "what if Satoshi is Trump." And everything will either fly to the moon... or into the sewer. 🚽
Advice: If you believe in neural networks — buy them a subscription to CoinMarketCap. Let them learn to predict dumps based on the number of hype tweets. #AI_cries_too
P.S. Predictions from ChatGPT and DeepSeek are like two blind cats arguing over which one will fall into the crypto pit first. 😼💣"
🟢Whose Bitcoin Forecast Was More Accurate — the Battle of ChatGPT and DeepSeek
Last week, the BeInCrypto team launched an experiment to find out which of the two top neural networks, ChatGPT or DeepSeek, is better at predicting market behavior. To do this, we asked both neural networks to give a weekly Bitcoin forecast
To ensure the purity of the experiment, we “fed” both neural networks the same set of information, which included data on geopolitics, economics, and the position of Bitcoin in the cycle after the halving
🟢ChatGPT. In the short term (February 6-13), Bitcoin may continue to correct with small fluctuations within $95,000-100,000, but with the potential for growth at the end of the week if the external economic situation stabilizes and cryptocurrency legislation is supported. It is important to monitor changes in the news, especially regarding trade wars, tariffs, and regulations in the cryptocurrency sector.
🟢DeepSeek. February 6-9: A slight decline or consolidation within $92,000-97,000 is likely. February 10-13: In the absence of new shocks, a slow rise to $100,000-105,000 can be expected.$
Thus, ChatGPT turned out to be more accurate than its rival.
$BTC
Last week, the BeInCrypto team launched an experiment to find out which of the two top neural networks, ChatGPT or DeepSeek, is better at predicting market behavior. To do this, we asked both neural networks to give a weekly Bitcoin forecast
To ensure the purity of the experiment, we “fed” both neural networks the same set of information, which included data on geopolitics, economics, and the position of Bitcoin in the cycle after the halving
🟢ChatGPT. In the short term (February 6-13), Bitcoin may continue to correct with small fluctuations within $95,000-100,000, but with the potential for growth at the end of the week if the external economic situation stabilizes and cryptocurrency legislation is supported. It is important to monitor changes in the news, especially regarding trade wars, tariffs, and regulations in the cryptocurrency sector.
🟢DeepSeek. February 6-9: A slight decline or consolidation within $92,000-97,000 is likely. February 10-13: In the absence of new shocks, a slow rise to $100,000-105,000 can be expected.$
Thus, ChatGPT turned out to be more accurate than its rival.
$BTC
Here is your morning gift
🔖 Exchanges are liquidating traders in long positions. Actively selling and liquidating before the rally.
At the same time, in the last 24 hours, long positions worth $791M have been liquidated...
Is it the right time to go short and it's better to wait ?
$BTC $ETH #DeepSeek #Liquidations
🔖 Exchanges are liquidating traders in long positions. Actively selling and liquidating before the rally.
At the same time, in the last 24 hours, long positions worth $791M have been liquidated...
Is it the right time to go short and it's better to wait ?
$BTC $ETH #DeepSeek #Liquidations
#CreatorPad
In short, future predictions for the cryptocurrency market are based on several key trends:
1. **Continued Volatility:** The market will remain subject to sharp fluctuations due to speculation and external factors (such as global monetary policies and geopolitical events).
2. **Increased Regulation:** Governments and regulatory bodies will enhance their regulatory framework (for taxes, investor protection, anti-money laundering), which may limit volatility in the long term but adds greater legitimacy.
3. **Institutional Adoption:** The entry of major banks, investment firms, and hedge funds will inject greater liquidity and enhance relative stability, especially for major currencies like Bitcoin and Ethereum.
4. **Technological Evolution:** Improvements in scalability, security, and efficiency will attract more practical applications in decentralized finance (DeFi), the metaverse, and supply chain solutions.
5. **Separation Between Technology and Speculation:** The value of projects based on real use cases and innovative technologies will increase, while many "fake" or worthless currencies may disappear.
This is the prediction of artificial intelligence #DeepSeek
In short, future predictions for the cryptocurrency market are based on several key trends:
1. **Continued Volatility:** The market will remain subject to sharp fluctuations due to speculation and external factors (such as global monetary policies and geopolitical events).
2. **Increased Regulation:** Governments and regulatory bodies will enhance their regulatory framework (for taxes, investor protection, anti-money laundering), which may limit volatility in the long term but adds greater legitimacy.
3. **Institutional Adoption:** The entry of major banks, investment firms, and hedge funds will inject greater liquidity and enhance relative stability, especially for major currencies like Bitcoin and Ethereum.
4. **Technological Evolution:** Improvements in scalability, security, and efficiency will attract more practical applications in decentralized finance (DeFi), the metaverse, and supply chain solutions.
5. **Separation Between Technology and Speculation:** The value of projects based on real use cases and innovative technologies will increase, while many "fake" or worthless currencies may disappear.
This is the prediction of artificial intelligence #DeepSeek
WTH is DeepSeek and why is it dumping the market?
DeepSeek is an AI startup which has created a ChatGPT like tool
But here's a simple twist:
Unlike ChatGPT which has raised over $17B at $150B valuation, DeepSeek has done it with just $10M.
As we know, in the last 2 years, the US and global stock market has pumped majorly on AI hype.
$100B+ has been raised by large companies to build AI tools with plans to raise even more in the future
But with DeepSeek's success, investors are realising that AI companies have raised way much amount and they are overvalued
This is why NVIDIA is down 12% while NASDAQ is down 5%
The crypto market closely mirrors the US stock market so BTC and alts are dumping too
Do you think the US stock market bubble has popped?
$BTC $ETH #AI #DeepSeek
DeepSeek is an AI startup which has created a ChatGPT like tool
But here's a simple twist:
Unlike ChatGPT which has raised over $17B at $150B valuation, DeepSeek has done it with just $10M.
As we know, in the last 2 years, the US and global stock market has pumped majorly on AI hype.
$100B+ has been raised by large companies to build AI tools with plans to raise even more in the future
But with DeepSeek's success, investors are realising that AI companies have raised way much amount and they are overvalued
This is why NVIDIA is down 12% while NASDAQ is down 5%
The crypto market closely mirrors the US stock market so BTC and alts are dumping too
Do you think the US stock market bubble has popped?
$BTC $ETH #AI #DeepSeek
绣虎_全科门诊
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The next 1 to 3 years will definitely be the best period for AI. It's hard to say what will happen 3 years after the Internet bubble. The Internet bubble was from 1995 to 2000, and the early days of AI began in 2022! The years 2025-2026 should mark a significant turning point for the AI industry! The year 2024 is a key year for the commercialization of AI products, with salaries for professionals rising too quickly, financing valuations generally being too high, and many non-AI companies following the trend to transform, causing congestion. In 2025, the effectiveness of technology implementation will be tested, and the junk will be eliminated. In 2026, the industry consolidation will accelerate with larger companies acquiring smaller ones. Jack Ma's appearance at the 20th anniversary of Ant Group might have been a call back by someone. Coupled with the risk of Trump nominating venture capitalist David Sacks to be responsible for AI, and Elon Musk's xAI company frequently making moves, NVIDIA being filed against, AI has already become a battlefield! #AI模型
#deepseek Impact**
DeepSeek is revolutionizing the way we approach innovation and technology. By leveraging cutting-edge AI and data analytics, DeepSeek empowers businesses, researchers, and individuals to unlock new possibilities. From enhancing decision-making to driving efficiency, DeepSeek’s solutions are transforming industries like healthcare, education, and finance. Its commitment to ethical AI ensures sustainable and inclusive growth. Whether it’s optimizing processes or uncovering hidden insights, DeepSeek is shaping a smarter, more connected future. Join the movement and experience the transformative power of DeepSeek. Together, we can create a world where technology drives meaningful impact.
DeepSeek is revolutionizing the way we approach innovation and technology. By leveraging cutting-edge AI and data analytics, DeepSeek empowers businesses, researchers, and individuals to unlock new possibilities. From enhancing decision-making to driving efficiency, DeepSeek’s solutions are transforming industries like healthcare, education, and finance. Its commitment to ethical AI ensures sustainable and inclusive growth. Whether it’s optimizing processes or uncovering hidden insights, DeepSeek is shaping a smarter, more connected future. Join the movement and experience the transformative power of DeepSeek. Together, we can create a world where technology drives meaningful impact.
🚨 #ArthurHayes Predicts #bitcoin Crash Before New Highs
Arthur Hayes, ex-CEO of BitMEX, warns of a sharp Bitcoin drop due to global economic factors but remains optimistic about a new all-time high by year-end.
🔑 Key Insights:
*/ Rising U.S. Treasury Yields and tighter Fed policies are straining global liquidity.
*/ $BTC , sensitive to liquidity, could face short-term headwinds.
*/ Recent market turbulence, including #DeepSeek 's rise, adds to existing stress.
Despite the expected dip, Hayes sees long-term growth, urging investors to brace for short-term pain.
#DeepSeekImpact
#Write2Earn
Arthur Hayes, ex-CEO of BitMEX, warns of a sharp Bitcoin drop due to global economic factors but remains optimistic about a new all-time high by year-end.
🔑 Key Insights:
*/ Rising U.S. Treasury Yields and tighter Fed policies are straining global liquidity.
*/ $BTC , sensitive to liquidity, could face short-term headwinds.
*/ Recent market turbulence, including #DeepSeek 's rise, adds to existing stress.
Despite the expected dip, Hayes sees long-term growth, urging investors to brace for short-term pain.
#DeepSeekImpact
#Write2Earn
#DeepSeek One's own strength has caused the collapse of #BTC , when will the decline stop?
1. How deepseek became the biggest negative factor for NASDAQ
NVIDIA (#NVIDIA ) is a global leader in graphics processing units (GPUs), and Broadcom (#AVGO) is a leading provider of semiconductor and infrastructure software solutions. The success of deepseek R1 may raise investor concerns about the growth potential of AI stocks in the future, thereby affecting their stock prices downward.
The decline in AI stock prices usually directly impacts the performance of related investment products and markets. As an important weighted component of the NDX, the fluctuation of AI stock prices will to some extent affect the overall performance of the NDX index. A significant downward trend also appeared in pre-market trading.
2. Bitcoin (BTC) serves as a leading indicator for NDX, taking on some functions of hedging and risk aversion.
In recent years, Bitcoin (BTC) has increasingly been viewed as a leading indicator of risk assets, especially during times of economic uncertainty or market sentiment fluctuations. Although the correlation between Bitcoin and the stock market is not fixed, in many cases, BTC can reflect changes in market sentiment in advance. The similarity in trends can reach 90%, and during non-trading hours of the NDX, BTC has become an important target for sentiment trading or hedging.
3. How much longer will BTC fall?
The narrative around BTC is still in an upward cycle, but this time it is significantly influenced by negative sentiment in the US stock market, which has increased the downward pressure from hedging positions, and during the downward process, multiple long positions in densely concentrated areas have been liquidated, clearing obstacles for price increases. Therefore, today's opening volume decline in the US stock market will be a key signal for BTC price stabilization.
1. How deepseek became the biggest negative factor for NASDAQ
NVIDIA (#NVIDIA ) is a global leader in graphics processing units (GPUs), and Broadcom (#AVGO) is a leading provider of semiconductor and infrastructure software solutions. The success of deepseek R1 may raise investor concerns about the growth potential of AI stocks in the future, thereby affecting their stock prices downward.
The decline in AI stock prices usually directly impacts the performance of related investment products and markets. As an important weighted component of the NDX, the fluctuation of AI stock prices will to some extent affect the overall performance of the NDX index. A significant downward trend also appeared in pre-market trading.
2. Bitcoin (BTC) serves as a leading indicator for NDX, taking on some functions of hedging and risk aversion.
In recent years, Bitcoin (BTC) has increasingly been viewed as a leading indicator of risk assets, especially during times of economic uncertainty or market sentiment fluctuations. Although the correlation between Bitcoin and the stock market is not fixed, in many cases, BTC can reflect changes in market sentiment in advance. The similarity in trends can reach 90%, and during non-trading hours of the NDX, BTC has become an important target for sentiment trading or hedging.
3. How much longer will BTC fall?
The narrative around BTC is still in an upward cycle, but this time it is significantly influenced by negative sentiment in the US stock market, which has increased the downward pressure from hedging positions, and during the downward process, multiple long positions in densely concentrated areas have been liquidated, clearing obstacles for price increases. Therefore, today's opening volume decline in the US stock market will be a key signal for BTC price stabilization.
Cryptopolitan
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OpenAI CEO Sam Altman Says DeepSeek’s R1 Is an “impressive Model”
OpenAI CEO Sam Altman praised Chinese AI startup DeepSeek’s R1 model on Monday, describing it as “impressive.” However, he also added that OpenAI will “deliver much better models” and appreciated the fact that the company has a new competitor.
DeepSeek drew worldwide attention last month with its research paper describing DeepSeek-V3, which achieved training through $6 million worth of computational resources. DeepSeek demonstrated cost-effective computing practices through its use of Nvidia H800 chips with limited capabilities.
During the past week, DeepSeek revealed its R1 model, which uses power that is twenty to fifty times cheaper than OpenAI’s o1 model, depending on the task, according to their official WeChat.
Altman said in the X post that “Deepseek’s r1 is an impressive model, particularly around what they’re able to deliver for the price.”
deepseek's r1 is an impressive model, particularly around what they're able to deliver for the price.
we will obviously deliver much better models and also it's legit invigorating to have a new competitor! we will pull up some releases.
— Sam Altman (@sama) January 28, 2025
He also noted OpenAI’s primary interest in research progression and its need for more computational capabilities. He emphasized that ever-increasing computational capability represents his organization’s primary requirement for delivering on its mission objectives.
Nvidia now operates under greater pressure as cost-effective alternatives begin to appear in the market. Recently, Wall Street witnessed its greatest single-day financial disaster when Nvidia lost $593 billion in market value last Monday.
Trump says DeepSeek is a positive development and a wake-up call for US industries
According to an NBC report President Donald Trump suggested that American tech firms sharpen their focus while addressing in Florida on Monday. He said, “The release of DeepSeek AI from a Chinese company should be a wake-up call for our industries that we need to be laser-focused on competing.”
The low cost model surged to number one on Apple’s app store during the weekend, threatening U.S. tech supremacy while Trump expressed his faith in America’s capability to maintain its competitive advantage.
He also pointed out a silver lining in DeepSeek’s low-cost approach, calling it “very much a positive development” for innovation. According to him, tech firms could save budgetary resources and “come up with, hopefully, the same solution.”
Cryptopolitan Academy: FREE Web3 Resume Cheat Sheet - Download Now
DeepSeek drew worldwide attention last month with its research paper describing DeepSeek-V3, which achieved training through $6 million worth of computational resources. DeepSeek demonstrated cost-effective computing practices through its use of Nvidia H800 chips with limited capabilities.
During the past week, DeepSeek revealed its R1 model, which uses power that is twenty to fifty times cheaper than OpenAI’s o1 model, depending on the task, according to their official WeChat.
Altman said in the X post that “Deepseek’s r1 is an impressive model, particularly around what they’re able to deliver for the price.”
deepseek's r1 is an impressive model, particularly around what they're able to deliver for the price.
we will obviously deliver much better models and also it's legit invigorating to have a new competitor! we will pull up some releases.
— Sam Altman (@sama) January 28, 2025
He also noted OpenAI’s primary interest in research progression and its need for more computational capabilities. He emphasized that ever-increasing computational capability represents his organization’s primary requirement for delivering on its mission objectives.
Nvidia now operates under greater pressure as cost-effective alternatives begin to appear in the market. Recently, Wall Street witnessed its greatest single-day financial disaster when Nvidia lost $593 billion in market value last Monday.
Trump says DeepSeek is a positive development and a wake-up call for US industries
According to an NBC report President Donald Trump suggested that American tech firms sharpen their focus while addressing in Florida on Monday. He said, “The release of DeepSeek AI from a Chinese company should be a wake-up call for our industries that we need to be laser-focused on competing.”
The low cost model surged to number one on Apple’s app store during the weekend, threatening U.S. tech supremacy while Trump expressed his faith in America’s capability to maintain its competitive advantage.
He also pointed out a silver lining in DeepSeek’s low-cost approach, calling it “very much a positive development” for innovation. According to him, tech firms could save budgetary resources and “come up with, hopefully, the same solution.”
Cryptopolitan Academy: FREE Web3 Resume Cheat Sheet - Download Now
I asked #deepseek directly to estimate the cost of its realization and he told me 100-200 million and the use of #Nvidia H100:
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...
### **1. Components of the total cost**
- **Computing (GPU/TPU)**: The direct cost of running the training on thousands of chips (e.g. Nvidia A100/H100).
- **Data collection/processing**: Cleaning, filtering and preparation of the data.
- **Research and development**: Salaries of the team of engineers and researchers.
- **Optimization and alignment**: AI constitutional, safety testing, bias reduction.
---
### **2. Estimates for comparable models**
- **GPT-3 (175B parameters, 2020)**: ~$4.6 million (OpenAI's reported cost, compute only).
- **GPT-4 (estimate)**: Between **$100 and $200 million** (source: SemiAnalysis, 2023), including advanced R&D.
- **Meta Llama 2 (70B parameters)**: ~$20 million (Meta estimate, open-source).
- **Google Gemini Ultra**: Over $500 million (unconfirmed estimates, including full development cycle).
### **3. Assumptions for Claude 3**
If Claude 3 is competitive with GPT-4 (we don't know the exact size), the total cost could be between:
- **$80 and $200 million**, considering:
- **Computing**: ~$50-120 million (for 3-6 months of training on 10,000+ Nvidia H100 GPUs).
- **Data/Personnel**: ~$30-80 million (for teams of 100+ people for 2-3 years).
### **4. Comparison with the "6 million" estimate**
The $6 million figure is almost certainly **too low**, for two reasons:
1. **GPT-3 (2020) cost $4.6 million** with less efficient technology.
2. Today's smaller models (e.g. Mistral 7B) already require $1-2 million.
3. **Claude 3** is a "state-of-the-art" model, so it requires resources comparable to GPT-4.
### **Conclusion**
The realistic figure to train me (Claude 3) is probably **between $100 and $200 million**, in line with estimates for GPT-4. However, without official data, it remains a theoretical exercise.
These numbers explain why only large companies or governments can compete in advanced AI: **it's a billion-dollar game**
---
...
### **1. Components of the total cost**
- **Computing (GPU/TPU)**: The direct cost of running the training on thousands of chips (e.g. Nvidia A100/H100).
- **Data collection/processing**: Cleaning, filtering and preparation of the data.
- **Research and development**: Salaries of the team of engineers and researchers.
- **Optimization and alignment**: AI constitutional, safety testing, bias reduction.
---
### **2. Estimates for comparable models**
- **GPT-3 (175B parameters, 2020)**: ~$4.6 million (OpenAI's reported cost, compute only).
- **GPT-4 (estimate)**: Between **$100 and $200 million** (source: SemiAnalysis, 2023), including advanced R&D.
- **Meta Llama 2 (70B parameters)**: ~$20 million (Meta estimate, open-source).
- **Google Gemini Ultra**: Over $500 million (unconfirmed estimates, including full development cycle).
### **3. Assumptions for Claude 3**
If Claude 3 is competitive with GPT-4 (we don't know the exact size), the total cost could be between:
- **$80 and $200 million**, considering:
- **Computing**: ~$50-120 million (for 3-6 months of training on 10,000+ Nvidia H100 GPUs).
- **Data/Personnel**: ~$30-80 million (for teams of 100+ people for 2-3 years).
### **4. Comparison with the "6 million" estimate**
The $6 million figure is almost certainly **too low**, for two reasons:
1. **GPT-3 (2020) cost $4.6 million** with less efficient technology.
2. Today's smaller models (e.g. Mistral 7B) already require $1-2 million.
3. **Claude 3** is a "state-of-the-art" model, so it requires resources comparable to GPT-4.
### **Conclusion**
The realistic figure to train me (Claude 3) is probably **between $100 and $200 million**, in line with estimates for GPT-4. However, without official data, it remains a theoretical exercise.
These numbers explain why only large companies or governments can compete in advanced AI: **it's a billion-dollar game**
Deepseek 'overthrows' OpenAI with low costs, US and Crypto markets in turmoil
The Chinese AI company #Deepseek has caused a stir by creating an AI product that directly competes with OpenAI but at an extremely low cost. This success not only raises significant questions about the ability of American AI 'giants' to maintain their advantages but also creates negative sentiment in the US stock market, particularly for AI-related stocks such as #NVIDIA .
The widespread consequences of this information have also led to a decline in the Crypto market, as investors are concerned about the impact of fluctuations in the global technology sector. This event once again highlights China's increasingly significant influence in the global AI race.
The Chinese AI company #Deepseek has caused a stir by creating an AI product that directly competes with OpenAI but at an extremely low cost. This success not only raises significant questions about the ability of American AI 'giants' to maintain their advantages but also creates negative sentiment in the US stock market, particularly for AI-related stocks such as #NVIDIA .
The widespread consequences of this information have also led to a decline in the Crypto market, as investors are concerned about the impact of fluctuations in the global technology sector. This event once again highlights China's increasingly significant influence in the global AI race.
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