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In this video, we break down the leaked 4-hour investor meeting transcript from DeepSeek founder Liang Wenfeng, revealing the bare-metal architecture and financial reality behind the DeepSeek V4 Pro and R1 models. Discover why the lab that wiped $589 billion off Nvidia's market cap is entirely shifting the AI landscape through aggressive open-source weights, ultra-low API pricing, and claiming Huawei's 950 super nodes will replace Nvidia GB300s within a year. 🔔 Subscribe: https://www.youtube.com/channel/UC0DZj1PNa_Fp0MU6uPSKv5w?sub_confirmation=1 💙 Become a Member: https://www.youtube.com/channel/UC0DZj1PNa_Fp0MU6uPSKv5w/join 🐦 Twitter/X: https://x.com/cloud_codes 💬 Discord: https://discord.gg/4kJqEBMMf We analyze DeepSeek's brutal truth about the global compute gap—operating on just 20,000 H100 equivalents (1/20th of American frontier labs)—and why their AGI roadmap prioritizes coding agents, self-iteration, and continual learning over world models and video generation. From deploying half their core researchers on manual data annotation to the $71B Series B funding round suspended due to this exact leak, this is the unfiltered masterplan of the world's most disruptive AI lab. If you found this technical deep-dive helpful, drop a like and subscribe for more content on AI systems, large language models, and software engineering! ⏱️ TIMESTAMPS: 00:00 - The Leaked 4-Hour Investor Transcript 01:10 - The Compute Reality (Not Just Efficiency) 04:05 - Pricing, APIs, and the "Take Less" Strategy 06:32 - Open Source as a Weapon vs OpenAI 09:10 - The Huawei vs Nvidia Chip Wager 12:13 - DeepSeek's 5-Step Roadmap to AGI 15:35 - No KPIs: DeepSeek's Internal Work Culture 17:21 - The Leak That Cost a $71 Billion IPO #deepseek #artificialintelligence #opensource #nvidia #openai #machinelearning #huawei #agi #cloudcodes User Queries: deepseek founder liang wenfeng leaked investor meeting deepseek v4 pro vs openai gpt 4 performance benchmark huawei 950 super node vs nvidia gb300 compute speed why is deepseek api pricing so cheap compared to anthropic deepseek agi roadmap and coding agents explained china domestic ai chip ecosystem vs nvidia cuda moat deepseek r1 model open weights hugging face download how deepseek trains frontier models with 20k h100s open source ai models vs closed source llms deepseek valuation ipo and series b funding leak

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