Chinese Start-ups such as DeepSeek are challenging global AI giants Last month, Chinese start-up DeepSeek stunned the global tech industry with its DeepSeek-V3, an open-source AI model rivaling more well-funded American counterparts like OpenAI. This week, it made headlines again with R1, a new model showcasing advanced AI reasoning capabilities. DeepSeek’s achievements are part of a larger trend, with Chinese tech giants like Alibaba, Tencent, ByteDance, and others closing the gap wi th US competitors, excelling in both capability and cost efficiency. China’s progress in AI efficiency is not coincidental but rather a direct response to the escalating export controls imposed by the US. Limited access to advanced AI chips has pushed Chinese companies to innovate, embracing novel algorithms, architectures, and training methods to reduce dependence on foreign technology. DeepSeek’s success exemplifies this adaptability. The model was trained in two months on Nvidia H800 GPUs—less advanced than the latest chips—at just $5.5mn, a fraction of the costs incurred by US companies like OpenAI. Additionally, its cost-effective approach to AI inference has earned it the nickname “Pinduoduo of AI,” referencing China’s discount e-commerce giant. This efficiency challenges the notion that cutting-edge AI requires massive computational resources and billions in funding. To read more, check our weekly global news: https://lnkd.in/dtHNnTyZ Subscribe here to receive all of our daily newsletter & publications: https://lnkd.in/grae-vTJ #zillacapital #research #globalespresso #globalnews #news #China #DeepSeek #AI #USA
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CHINA'S DEEPSEEK AI: GAME-CHANGING INNOVATION OR A WAKE-UP CALL? Something fascinating is happening in the AI space: DeepSeek, a new series of AI models developed in China, is shaking up the landscape in ways that are hard to ignore. The story behind this innovation is nothing short of extraordinary. Here’s the context: To build cutting-edge AI models, you need access to powerful chips. And today, the world’s best AI chips come from one company—NVIDIA—an American giant. But here’s the catch: these chips are so critical that the U.S. government has restricted NVIDIA from selling them to Chinese companies. So, how did the Chinese Deepseek pull this off? Despite limited access to NVIDIA chips, the creators of DeepSeek made a massive leap in technical efficiency. They developed groundbreaking methods to train their AI models using just a fraction of the resources typically required by companies like OpenAI, Microsoft, or Google. We're talking 100 times fewer resources—a revolutionary breakthrough in AI training. But the story gets even crazier. Instead of keeping their models under lock and key, this Chinese company took a bold step: they open-sourced everything. They shared their code, their processes, and even the output of their models, making it freely available to the world. Essentially, they’ve handed out a playbook for how to replicate (or improve on) what they’ve built. The impact? The value of many proprietary models from companies like OpenAI has dropped significantly because now, there’s a better, free alternative. China’s innovation game is reaching unprecedented levels, proving that restrictions don’t always stifle progress—they can spark creativity and efficiency in unexpected ways. This story is a wake-up call for businesses everywhere: innovation isn’t just about resources—it’s about strategy, creativity, and a willingness to challenge the status quo. #innovation #AI #DeepSeek #OpenSource #FutureOfWork #NVIDIA #China
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The release of #DeepSeek R1 highlights a pivotal shift where the lines between technology and geopolitics are becoming increasingly blurred. As nations like China develop cost-efficient, high-performing models, AI is no longer just a technological race—it’s a strategic competition with profound geopolitical stakes. The model's affordability challenges the dominance of traditional powerhouses, putting pressure on Western firms to justify their massive spending and adapt to a new era of lean innovation. At the same time, DeepSeek’s open-source approach raises critical questions about trust, security, and influence, especially as data privacy concerns grow in Western markets. This moment underscores how AI is evolving into a tool of economic and strategic leverage, where technological breakthroughs directly shape global influence. The question is no longer just who builds the best models, but who controls the narrative, access, and trust in this new AI-powered geopolitical landscape. Excellent post Dr. Shay Hershkovitz
The AI world is abuzz following the release of #DeepSeek R1, a Chinese #generativeAI model that achieves performance comparable to OpenAI’s o1 model - but at 96.4% lower usage costs! Here’s why this matters and how it could reshape the #geopolitical landscape: What Makes DeepSeek Unique? Cost Efficiency: DeepSeek trained its model for just $5.5M, roughly a tenth of what leading companies like OpenAI spend on comparable models. #OpenSource Approach: Unlike many models, DeepSeek shares its full training methodology, allowing anyone to replicate and train similar models. Transparent Thinking: DeepSeek exposes its internal reasoning process, offering a rare glimpse into how new-generation models "think" before responding. Geopolitical and Strategic Implications: AI Spending Under Scrutiny: DeepSeek’s low-cost approach questions whether massive investments by Meta , OpenAI, and Google are justifiable, especially if similar results can be achieved with significantly lower budgets. This could reshape the AI race, especially for nations and companies focused on brute-force spending. NVIDIA and Semiconductor Leverage: By reducing reliance on advanced GPUs, DeepSeek challenges the dominance of U.S. and Taiwanese semiconductor manufacturers, undermining their geopolitical influence and reshaping the global AI #supplychain. Leveling the Playing Field: Cost-efficient AI development empowers smaller nations and startups, reducing the gap between resource-rich nations like the U.S. and China and resource-constrained regions. Trust and Data Risks: While DeepSeek is open source, its Chinese origins may raise concerns about data privacy and government access, limiting adoption in Western markets. Western Countermeasures: Companies like Hugging Face are already working on “Western versions” of models like DeepSeek, intensifying competition and driving further innovation. What do you think? Are we witnessing a turning point in global AI strategy and innovation?
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The AI world is abuzz following the release of #DeepSeek R1, a Chinese #generativeAI model that achieves performance comparable to OpenAI’s o1 model - but at 96.4% lower usage costs! Here’s why this matters and how it could reshape the #geopolitical landscape: What Makes DeepSeek Unique? Cost Efficiency: DeepSeek trained its model for just $5.5M, roughly a tenth of what leading companies like OpenAI spend on comparable models. #OpenSource Approach: Unlike many models, DeepSeek shares its full training methodology, allowing anyone to replicate and train similar models. Transparent Thinking: DeepSeek exposes its internal reasoning process, offering a rare glimpse into how new-generation models "think" before responding. Geopolitical and Strategic Implications: AI Spending Under Scrutiny: DeepSeek’s low-cost approach questions whether massive investments by Meta , OpenAI, and Google are justifiable, especially if similar results can be achieved with significantly lower budgets. This could reshape the AI race, especially for nations and companies focused on brute-force spending. NVIDIA and Semiconductor Leverage: By reducing reliance on advanced GPUs, DeepSeek challenges the dominance of U.S. and Taiwanese semiconductor manufacturers, undermining their geopolitical influence and reshaping the global AI #supplychain. Leveling the Playing Field: Cost-efficient AI development empowers smaller nations and startups, reducing the gap between resource-rich nations like the U.S. and China and resource-constrained regions. Trust and Data Risks: While DeepSeek is open source, its Chinese origins may raise concerns about data privacy and government access, limiting adoption in Western markets. Western Countermeasures: Companies like Hugging Face are already working on “Western versions” of models like DeepSeek, intensifying competition and driving further innovation. What do you think? Are we witnessing a turning point in global AI strategy and innovation?
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🚨 China’s AI Shock? What DeepSeek Disrupts (and Doesn’t) 🚨 The rise of DeepSeek is not about surpassing OpenAI or Anthropic—it’s about achieving similar AI capabilities at a fraction of the cost. The AI price war has begun. DeepSeek claims to have trained its model using only low-tier chips (H800s), but the public knows little about the authenticity of these claims or the true cost of its training. What we can discern, however, are the following broader strategic implications: 🔹 Efficiency Over Power? The Limits of U.S. Semiconductor Sanctions DeepSeek’s success challenges the assumption that cutting off China’s access to high-end chips will stifle its AI development. While top-tier chips remain superior, China is proving that efficiency gains can compensate—at least in a mathematic sense. 🔹 China’s Global AI Price War & Market Disruption DeepSeek is offering AI services at a price up to nine times lower than OpenAI’s. This aggressive pricing mirrors China’s past market strategies in solar panels and EVs, raising concerns about global AI market distortions. 🔹 Strategic Risks for Democratic Allies: Security & Market Competition Cheap, effective AI models from China introduce two major potential risks in the future: 1️⃣ National security – Data privacy, AI-generated content manipulation, and influence operations. 2️⃣ Industry survival – non-market pricing could undermine AI innovation outside China, making it difficult for democratic economies to compete on cost alone. DeepSeek’s rise signals a possible turning point in global AI competition. As China leverages its scale and cost advantages, democratic allies must consider not just technological superiority, but economic resilience in AI development. Read my full analysis in The Diplomat: https://lnkd.in/gHNRCrTA #AI #Geopolitics #DeepSeek #China #Semiconductors
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Lots of hype in the media regarding the emergence of DeepSeek's R1 model. Whether you think this is good for the tech industry, bad for US' lead in the AI boom or a little bit of both, one thing is very likely: China has officially entered the AI arms race. Perhaps a little earlier than originally expected... Here are 10 things you should know about DeepSeek (for the rest of us): 1. China's new DeepSeek R1 model has shocked Silicon Valley and challenged long-held assumptions about Chinese innovation in AI 2. DeepSeek's R1 model is performing well at a fraction of the training cost of big models from companies like OpenAI 3. The R1 model was benchmarked at a similar standard to OpenAI's 01 and Google's Gemini 2.0 4. DeepSeek's V3 LLM was trained for $5.6 million over 3 months, significantly lower than the cost of training similar models in the US 5. There are claims that the DeepSeek model was trained on a cluster of just 2000 Nvidia H800s 6. DeepSeek uses a sophisticated mixed precision training framework that allows them to use 8-bit floating point numbers (FP8) throughout the entire training process 7. Frontier model training at US labs is closer to half a billion dollars for 01 class models and likely in the billions for the next generation of training runs 8. Some tech executives are dismissive of DeepSeek's claims, with concerns about the breach of export controls 9. Some are citing this as the US Vs Sputnik moment… When the US was caught off guard by Soviet innovation in the space race 10. Jevons paradox strikes again!” Nadella wrote on LinkedIn Monday, referring to a theory that increased efficiency in a product’s production drives increased demand. “As AI gets more efficient and accessible, we will see its use skyrocket, turning it into a commodity we just can’t get enough of.” #leadership #ai #bethechange #equinix
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🚀 China's AI Breakthrough: David vs. Goliath in the Tech World? 🇨🇳🤖🇺🇸 Imagine building an AI model that outperforms industry giants like OpenAI’s GPT-4 in just two months and with less than $6 million. Sounds impossible? Think again. China’s new AI powerhouse, DeepSeek, developed by the innovative lab Deepseek, is reshaping the global AI landscape. While Silicon Valley pours billions into AI research, DeepSeek achieved a game-changing leap with minimal resources—a testament to efficiency and ingenuity. 🔍 Key Highlights: • Rapid Development: DeepSeek built their version 3 model in two months, a fraction of the time taken by US counterparts. • Cost-Effective: Achieved superior performance with under $6 million, compared to billions spent by OpenAI and Google. • Open-Source Advantage: By making DeepSeek open-source, developers worldwide are adopting and customizing the model, accelerating innovation beyond traditional barriers. • Circumventing Restrictions: Despite US semiconductor restrictions, DeepSeek utilized Nvidia’s H-800 GPUs to maintain competitive edge, proving that limitations can fuel creativity. 🌐 Implications for the US: • Shift in AI Leadership: DeepSeek challenges the notion that massive investment equals dominance, urging US firms to rethink strategies. • Collaborative vs. Competitive: Emphasizes the power of open-source collaboration over proprietary silos, potentially democratizing AI advancements. • Strategic Adaptation: Highlights the need for the US to balance regulation with innovation, ensuring continued leadership in the AI race. As AI continues to evolve, DeepSeek’s success serves as a wake-up call: Innovation doesn’t always require massive budgets—sometimes, strategic efficiency and open collaboration can lead to monumental breakthroughs. #ArtificialIntelligence #AI #TechInnovation #OpenSource #ChinaTech #DeepSeek #SiliconValley #TechLeadership #InnovationStrategy
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The rise of DeepSeek AI is a watershed moment in AI, but it's surprising to me that everyone is so surprised. Commoditization is something that happens in all technologies, despite the narrative driven by Big Tech/closed source models for the past few years. A relatively unknown Chinese company until recently, DeepSeek has launched its R1 model, which now reportedly outperforms larger rivals like OpenAI on several math and reasoning benchmarks. Crucially, its models have been trained for a tiny fraction of the cost of the large American competitors, and importantly, it's open source. Every major technological breakthrough, from semiconductors to the internet, has followed the same historical pattern: democratization, declining costs, and increased accessibility. AI models will be no different. Already, Wall Street is taking notice and the stock price of leading AI companies like NVIDIA are taking a hit today. What does it mean for Europe? This moment underscores the critical need for our access to the best AI models upon which to build - whether they originate from the US, China, or Europe itself. Let’s not get in our own way. Advancements in training and efficiency are enabling the scaling and proliferation of AI, and Europe has the opportunity to benefit of this transformation - but only if we focus on enabling innovation. I spoke with NTV in Germany about the implications. Curious to hear your thoughts on this. #artificialintelligence #deepseek #openAI #chatpgt #R1 #LLM #techsovereignty
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How DeepSeek-R1 Shook the AI World and What It Means for You What Is DeepSeek R1? DeepSeek R1 is a cutting-edge AI model developed in China. It’s making waves because it challenges the dominance of US-based AI giants like OpenAI. Low-Cost Training: It was trained using 2,000 Nvidia H100 GPUs in 2 months, costing just $5.5 million—far less than OpenAI’s models. Speed and Accuracy: It matches GPT’s performance in benchmarks, offering fast inference and high accuracy. Efficiency: DeepSeek uses 8-bit floating-point numbers and advanced compression, making it 45x more efficient, according to Y Combinator’s Jared Friedman. In short, DeepSeek proves algorithmic efficiency can outperform sheer computational power. Why Is DeepSeek a Big Deal? Breaks the Compute Supremacy Myth: DeepSeek shows you don’t need massive hardware to build top-tier AI models. It optimizes at the software level, not just relying on hardware. Open Source: Unlike proprietary models, DeepSeek is open source, making it accessible to developers worldwide. Platforms like GroqCloud and Perplexity already host it. Geopolitical Impact: Despite US restrictions on exporting high-end GPUs to China, DeepSeek proves China is gaining momentum in the AI race. Environmental Benefits: Its efficiency reduces energy consumption and CO2 emissions, making AI more sustainable. What Does This Mean for the Future? Democratization of AI: DeepSeek’s low cost and open-source nature make AI accessible to smaller companies, driving faster adoption globally. Faster Innovation: Reduced costs and increased efficiency will spur more innovation across industries. Career Opportunities: For AI professionals, this means increased demand for skills in building and deploying AI solutions. Final Thoughts DeepSeek R1 is a game-changer, proving innovation isn’t just about resources but smarter solutions. For businesses, it means lower costs and faster adoption. For the planet, it’s a step toward sustainable AI. And for professionals, it’s an opportunity to be part of a rapidly evolving field. What are your thoughts on DeepSeek R1? Let’s discuss in the comments! Source - Codebasics #ai #DeepSeekAI
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🔲 F1000 Media: DeepSeek AI Rattles Wall Street Over AI Spending! The rise of DeepSeek AI, a Chinese AI startup, has sent shockwaves through Wall Street, disrupting the tech industry’s status quo and sparking intense scrutiny of the escalating costs of AI development!
🔲 F1000 Media: DeepSeek AI Rattles Wall Street Over AI Spending! By Alex Long 🔳 The rise of DeepSeek AI, a Chinese AI startup, has sent shockwaves through Wall Street, disrupting the tech industry’s status quo and sparking intense scrutiny of the escalating costs of AI development. 🔳 DeepSeek’s Breakthrough: The company’s R1 model has garnered widespread acclaim for its performance, rivaling OpenAI's GPT models. Astonishingly, DeepSeek claims to have trained its model for under $6 million—a stark contrast to the over $100 million spent by OpenAI on GPT-4. 🔳 Impact on US AI Leadership: By using less advanced chips and fewer resources, DeepSeek has demonstrated that cutting-edge AI doesn’t necessarily require exorbitant investment. This raises questions about the sustainability of the AI spending spree by U.S. tech giants like NVIDIA, Microsoft, and Google. 🔳 Market Reactions: Nvidia’s stock plunged 17%, as investors questioned the necessity of its high-end GPUs in AI training. Chipmakers like Broadcom and AMD faced steep losses, with declines exceeding 5%. Hyperscalers such as Amazon and Google also saw their stocks dip as doubts over their spending strategies grew. 🔳 Geopolitical Implications: Despite U.S. restrictions on advanced chip exports to China, DeepSeek has found ways to innovate using less sophisticated hardware. This development challenges the narrative of U.S. tech supremacy and raises concerns about the effectiveness of export controls. 🔳 What’s Next? DeepSeek’s rapid rise may force U.S. tech companies to reassess their AI development strategies. Efficiency and cost-effectiveness are emerging as critical competitive factors, putting pressure on traditional players to adapt. 🔳 As the tech landscape evolves, DeepSeek’s emergence is a stark reminder: innovation thrives on ingenuity, not just resources. #AI #DeepSeek #OpenAI #WallStreet #TechNews #ArtificialIntelligence #TechLeadership #Innovation #AIEconomy #F1000Media
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