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Chinese AI Model DeepSeq: Despite U.S. sanctions restricting access to Nvidia AI chips, Chinese researchers developed DeepSeq, an AI model reportedly more powerful than OpenAI’s. Overcoming Hardware Limitations: With only a limited supply of Nvidia chips, Chinese engineers achieved groundbreaking efficiency optimizations, reducing training resource requirements to just 1/100th...

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Johannes Maria

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24,512 görüntüleme • 1 yıl önce •via X (Twitter)

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Rosanna Tarsiero1 yıl önce

In Italy they say, "La necessita' aguzza l'ingegno"

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BillOckham1 yıl önce

Don’t forget about the cost effectiveness- just $6M compared to 20s of M for 🇺🇸AIs🤷🤷🤷

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nicco1 yıl önce

If technology can't serve all people, then why we still need them？people get brainwashed that high tech needs more money. It isn't. It only raise big companies like apple. But what Apple did in the past years？more expensive phones no one doesn't want it.

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Hollywood_Moon_Landing1 yıl önce

Deep Seek

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Chinese Genesis1 yıl önce

Open source is the way. I don't trust any of these companies having AI over us. The way we keep AI in check is make it open source, and kill proprietary AI dominance.

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Soojin Snow1 yıl önce

DeepSeq's development showcases China's determination to advance AI research despite challenges

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The Information1 yıl önce

A recent production hiccup with Nvidia’s latest AI chip shows the growing pressures in its relationship with its main chipmaking partner, TSMC.

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SpartakReview1 yıl önce

Stop using Meta products

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Mariano Cisneros Jr.1 yıl önce

Propaganda

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Mariano Cisneros Jr.1 yıl önce

Deepseek is a CCP syop designed to lure Western innovation to enhance, embed, and rely upon it in order to advance a communist authoritarian surveillance agenda using AI.

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🗣 📣 UBI NOW1 yıl önce

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Benzer Videolar

China is once again unsettling its American competitors in the AI race. Chinese labs have returned to the spotlight with the unveiling of GLM 5.2, described as the most powerful AI model ever trained in China — and one of the leading open‑source models worldwide. 🔍 Key highlights of “GLM 5.2”: ♦️ It is considered the strongest AI model developed in China to date, and ranks among the smartest open‑source models available. ♦️ It operates at a cost less than one‑tenth that of Anthropic’s latest models, making it a far more economical option. ♦️ It is likely to attract developers and companies seeking powerful, low‑cost models — especially amid growing technical and geopolitical restrictions. ♦️ Some evaluations place the model among the top globally, trailing OpenAI’s models while outperforming several competitors in specialized benchmarks and performance tests.
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China is once again unsettling its American competitors in the AI race. Chinese labs have returned to the spotlight with the unveiling of GLM 5.2, described as the most powerful AI model ever trained in China — and one of the leading open‑source models worldwide. 🔍 Key highlights of “GLM 5.2”: ♦️ It is considered the strongest AI model developed in China to date, and ranks among the smartest open‑source models available. ♦️ It operates at a cost less than one‑tenth that of Anthropic’s latest models, making it a far more economical option. ♦️ It is likely to attract developers and companies seeking powerful, low‑cost models — especially amid growing technical and geopolitical restrictions. ♦️ Some evaluations place the model among the top globally, trailing OpenAI’s models while outperforming several competitors in specialized benchmarks and performance tests.

China pulse 🇨🇳

14,293 görüntüleme • 3 ay önce

China’s arrival as a serious AI competitor threatens to upend an investment boom so far dominated by a small group of mostly US and allied companies. Chinese labs are already producing frontier-level models despite restricted access to advanced chips, while a determined push to build a domestic semiconductor supply chain could eventually challenge the incumbents in AI hardware. In this interview, Will Denyer considers the winners and losers from the disruption, arguing that while Chinese competition threatens model and hardware makers, cheaper models and computing power should ultimately benefit cloud providers and AI users.
0:54

China’s arrival as a serious AI competitor threatens to upend an investment boom so far dominated by a small group of mostly US and allied companies. Chinese labs are already producing frontier-level models despite restricted access to advanced chips, while a determined push to build a domestic semiconductor supply chain could eventually challenge the incumbents in AI hardware. In this interview, Will Denyer considers the winners and losers from the disruption, arguing that while Chinese competition threatens model and hardware makers, cheaper models and computing power should ultimately benefit cloud providers and AI users.

Gavekal

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Sundar Pichai (Sundar Pichai), Google CEO, on: 🔹Race to AGI 🔹Agents 🔹AI & Information Diet 🔹Open Source 🔹Cybersecurity 🔹US vs China Intro AI agents replacing parts of the internet AI agents deciding our information diet Will agents kill the “raw internet”? AI cyberattacks and Google’s defense strategy Should dangerous cyber AI models be held back? The threshold for releasing powerful AI Why Google hasn't open-sourced a large model The broken business model with open-source AI American companies using Chinese AI The risk of building on China’s AI ecosystem Why Google cares so much about cheap, fast AI models Sundar on self-improving AI and the race to AGI Google’s compute situation Google has more AI demand than compute Google’s biggest compute bottleneck
30:18

Sundar Pichai (Sundar Pichai), Google CEO, on: 🔹Race to AGI 🔹Agents 🔹AI & Information Diet 🔹Open Source 🔹Cybersecurity 🔹US vs China Intro AI agents replacing parts of the internet AI agents deciding our information diet Will agents kill the “raw internet”? AI cyberattacks and Google’s defense strategy Should dangerous cyber AI models be held back? The threshold for releasing powerful AI Why Google hasn't open-sourced a large model The broken business model with open-source AI American companies using Chinese AI The risk of building on China’s AI ecosystem Why Google cares so much about cheap, fast AI models Sundar on self-improving AI and the race to AGI Google’s compute situation Google has more AI demand than compute Google’s biggest compute bottleneck

Matthew Berman

307,816 görüntüleme • 4 ay önce

🔥BREAKING: Nvidia CEO Jensen Huang pushes back against efforts to ban Chinese AI models in the US. In an interview with Axios, Huang said US firms should "ABSOLUTELY" be allowed to use Chinese models. "These Chinese models are excellent." "The market's misunderstood the impact of DeepSeek the first time. It's misunderstood the impact of Kimi again this time." "With great open AI models, it's great for the whole industry." "Great models lead to great use, which leads to great growth." Huang’s statement directly challenges Trump officials and US labs seeking to shut Chinese AI models out.
1:25

🔥BREAKING: Nvidia CEO Jensen Huang pushes back against efforts to ban Chinese AI models in the US. In an interview with Axios, Huang said US firms should "ABSOLUTELY" be allowed to use Chinese models. "These Chinese models are excellent." "The market's misunderstood the impact of DeepSeek the first time. It's misunderstood the impact of Kimi again this time." "With great open AI models, it's great for the whole industry." "Great models lead to great use, which leads to great growth." Huang’s statement directly challenges Trump officials and US labs seeking to shut Chinese AI models out.

Coin Bureau

70,103 görüntüleme • 2 ay önce

Breakthroughs in powerful, low-cost Chinese AI models are sending shockwaves through Washington and Silicon Valley, as Chinese companies continue to narrow the AI gap despite vast differences in computing power and financial resources. It all comes as the White House announces a new plan to redirect billions of dollars in funding from universities to individual researchers in a bid to accelerate AI innovation. Geoff Bennett speaks to Amrith Ramkumar for more.
5:20

Breakthroughs in powerful, low-cost Chinese AI models are sending shockwaves through Washington and Silicon Valley, as Chinese companies continue to narrow the AI gap despite vast differences in computing power and financial resources. It all comes as the White House announces a new plan to redirect billions of dollars in funding from universities to individual researchers in a bid to accelerate AI innovation. Geoff Bennett speaks to Amrith Ramkumar for more.

PBS News

10,463 görüntüleme • 2 ay önce

🚀 Excited to release AIBuildAI — an AI agent that automatically builds AI models 🏆 #1 on OpenAI MLE-Bench 💻 GitHub: Building AI models still requires a lot of manual work — designing models, writing code, training them, tuning hyperparameters, and iterating on results. We developed AIBuildAI to automate much of this process. The system runs an agent loop that automatically: • analyzes the task • designs models • writes code to implement them • trains the models • tunes hyperparameters • evaluates model performance • iteratively improves the models 🏆 On OpenAI’s MLE-Bench benchmark, AIBuildAI ranked #1:
1:33

🚀 Excited to release AIBuildAI — an AI agent that automatically builds AI models 🏆 #1 on OpenAI MLE-Bench 💻 GitHub: Building AI models still requires a lot of manual work — designing models, writing code, training them, tuning hyperparameters, and iterating on results. We developed AIBuildAI to automate much of this process. The system runs an agent loop that automatically: • analyzes the task • designs models • writes code to implement them • trains the models • tunes hyperparameters • evaluates model performance • iteratively improves the models 🏆 On OpenAI’s MLE-Bench benchmark, AIBuildAI ranked #1:

Pengtao Xie

152,252 görüntüleme • 6 ay önce

We’re expanding our strategic partnership with Microsoft to: ⚡ Deliver OpenAI’s state-of-the-art models in Snowflake Cortex AI on Microsoft Microsoft Azure. Customers will soon be able to build AI-powered data agents to run analytical workflows on structured and unstructured data using OpenAI’s models. ⚡ Make Snowflake Cortex Agents available in Microsoft 365 Copilot and Microsoft 365 apps, ensuring AI insights become more accessible for users and enabling better decision-making across the enterprise. Learn more about how we’re bringing easy, efficient, and trusted AI to enterprises around the world:
0:41

We’re expanding our strategic partnership with Microsoft to: ⚡ Deliver OpenAI’s state-of-the-art models in Snowflake Cortex AI on Microsoft Microsoft Azure. Customers will soon be able to build AI-powered data agents to run analytical workflows on structured and unstructured data using OpenAI’s models. ⚡ Make Snowflake Cortex Agents available in Microsoft 365 Copilot and Microsoft 365 apps, ensuring AI insights become more accessible for users and enabling better decision-making across the enterprise. Learn more about how we’re bringing easy, efficient, and trusted AI to enterprises around the world:

Snowflake

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New Delphi Podcast with Accelxr 👾, author of our latest report on China’s AI labs He went into the research thinking China was mostly distilling US models and benchmark-maxing. He came out with a very different view We cover: – Why DeepSeek is doing real research, not just copying – How Chinese labs are optimizing below CUDA – Why China’s electricity advantage could matter more than chips – Whether cheap open-source models are part of a broader strategy – Why more Chinese AI talent is returning home – Whether restricting NVIDIA chips could actually accelerate China’s independence – What happens if China reaches full AI training sovereignty 00:00 Intro 00:35 Is China Innovating or Just Distilling? 06:10 DeepSeek and China’s Leading AI Labs 10:15 How China Is Working Around Weaker Chips 18:25 China’s Biggest AI Advantage: Electricity 29:45 Three Scenarios for the US-China AI Race 40:20 America’s AI Talent Advantage Is Reversing 47:45 China’s Path to AI Sovereignty Full episode:
55:10

New Delphi Podcast with Accelxr 👾, author of our latest report on China’s AI labs He went into the research thinking China was mostly distilling US models and benchmark-maxing. He came out with a very different view We cover: – Why DeepSeek is doing real research, not just copying – How Chinese labs are optimizing below CUDA – Why China’s electricity advantage could matter more than chips – Whether cheap open-source models are part of a broader strategy – Why more Chinese AI talent is returning home – Whether restricting NVIDIA chips could actually accelerate China’s independence – What happens if China reaches full AI training sovereignty 00:00 Intro 00:35 Is China Innovating or Just Distilling? 06:10 DeepSeek and China’s Leading AI Labs 10:15 How China Is Working Around Weaker Chips 18:25 China’s Biggest AI Advantage: Electricity 29:45 Three Scenarios for the US-China AI Race 40:20 America’s AI Talent Advantage Is Reversing 47:45 China’s Path to AI Sovereignty Full episode:

Tommy

81,587 görüntüleme • 1 ay önce

Just watched Kai-Fu Lee 's interview on the US-China AI landscape. A few takeaways felt especially useful✌️: 1. The US is currently about 15 months ahead of China in frontier AI models. 2. Top US AI companies are like “geniuses trying to win the Nobel Prize,” while Chinese AI companies are more like “a group of smart kids forming a study group.” They still compete, but open source creates more shared learning. 3. China’s AI companies face a real monetization challenge in enterprise software. Many Chinese companies are less used to annual subscriptions or usage-based pricing, and still tend to think of software as project-based work. 4. For the same product, Western, Middle Eastern, and Central Asian companies may be willing to pay around 8x more than Chinese companies. That helps explain why many Chinese AI companies are expanding overseas. 5. China may produce many breakthrough AI consumer apps, because Chinese companies are especially strong at consumer apps, hardware, robotics, embodied AI, and AI-first devices. 6. The US may continue to lead in frontier models, while China may move faster in turning AI into products people actually use. 7. His advice for young people in the age of AI: you don’t necessarily need to become an engineer first. What matters more is accountability, taste, conviction, courage, and foresight. More👇
17:56

Just watched Kai-Fu Lee 's interview on the US-China AI landscape. A few takeaways felt especially useful✌️: 1. The US is currently about 15 months ahead of China in frontier AI models. 2. Top US AI companies are like “geniuses trying to win the Nobel Prize,” while Chinese AI companies are more like “a group of smart kids forming a study group.” They still compete, but open source creates more shared learning. 3. China’s AI companies face a real monetization challenge in enterprise software. Many Chinese companies are less used to annual subscriptions or usage-based pricing, and still tend to think of software as project-based work. 4. For the same product, Western, Middle Eastern, and Central Asian companies may be willing to pay around 8x more than Chinese companies. That helps explain why many Chinese AI companies are expanding overseas. 5. China may produce many breakthrough AI consumer apps, because Chinese companies are especially strong at consumer apps, hardware, robotics, embodied AI, and AI-first devices. 6. The US may continue to lead in frontier models, while China may move faster in turning AI into products people actually use. 7. His advice for young people in the age of AI: you don’t necessarily need to become an engineer first. What matters more is accountability, taste, conviction, courage, and foresight. More👇

Mia Bao

44,564 görüntüleme • 3 ay önce

🤝 Alphabet and NVIDIA are expanding their decade-long partnership to advance agentic AI, robotics, drug discovery, and more. This involves deep co-engineering with integrated platforms, open-source frameworks, and managed services. ✅ Google Cloud is one of the first to bring the NVIDIA Blackwell platform to the cloud. ✅ Google Distributed Cloud using NVIDIA Confidential Computing on #NVIDIABlackwell for enterprises to run Google Gemini on-premises. ✅ Integration of the NVIDIA AI platform across Vertex AI, Cluster Director and Google Kubernetes Engine. ✅ Bringing the NVIDIA Nemotron family of open models to Vertex AI Model Garden. Watch the full video to learn more ➡️
0:30

🤝 Alphabet and NVIDIA are expanding their decade-long partnership to advance agentic AI, robotics, drug discovery, and more. This involves deep co-engineering with integrated platforms, open-source frameworks, and managed services. ✅ Google Cloud is one of the first to bring the NVIDIA Blackwell platform to the cloud. ✅ Google Distributed Cloud using NVIDIA Confidential Computing on #NVIDIABlackwell for enterprises to run Google Gemini on-premises. ✅ Integration of the NVIDIA AI platform across Vertex AI, Cluster Director and Google Kubernetes Engine. ✅ Bringing the NVIDIA Nemotron family of open models to Vertex AI Model Garden. Watch the full video to learn more ➡️

NVIDIA AI Infrastructure

268,567 görüntüleme • 8 ay önce

Exciting update for AI developers! The Hugging Face Hub is now more natively integrated into Google Cloud Vertex AI Model Garden. Search through thousands of open Generative AI models from Hugging Face models & deploy them with one click to Vertex AI or GKE. 🤯 What's new: 🔎 Browse and search thousands of Hugging Face models directly within the Vertex AI Model Garden and filter based on what is currently trending in the community. 🚀 Accelerate your AI projects by leveraging readily available one-click deploy your model to Vertex AI or Google Kubernetes Engine (GKE). ⭐️ Featuring popular open models from BlackForestLabsAI - Unofficial FLUX.1, AI at Meta Llama 3.1, Mistral AI, Google DeepMind Gemma, and countless others. Get Started:
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Exciting update for AI developers! The Hugging Face Hub is now more natively integrated into Google Cloud Vertex AI Model Garden. Search through thousands of open Generative AI models from Hugging Face models & deploy them with one click to Vertex AI or GKE. 🤯 What's new: 🔎 Browse and search thousands of Hugging Face models directly within the Vertex AI Model Garden and filter based on what is currently trending in the community. 🚀 Accelerate your AI projects by leveraging readily available one-click deploy your model to Vertex AI or Google Kubernetes Engine (GKE). ⭐️ Featuring popular open models from BlackForestLabsAI - Unofficial FLUX.1, AI at Meta Llama 3.1, Mistral AI, Google DeepMind Gemma, and countless others. Get Started:

Philipp Schmid

34,757 görüntüleme • 2 yıl önce

This former OpenAI researcher just declared the CCP is likely already inside America’s top AI labs. Daniel Kokotajlo: “These companies are probably thoroughly penetrated by the CCP already.” “The best way to slow down China right now is to slow down ourselves.” Here’s how: “Most of Chinese AI progress is actually just being pulled along by the U.S.” “There’s evidence that several of the leading Chinese AI companies are basically using Anthropic and maybe OpenAI models to train their own models.” “The Chinese are just getting more sophisticated at having lots of different accounts that pretend to be regular users.” “Because their security is very leaky, a lot of that information is just flowing to China.” “There was a story about three random guys who managed to hack into OpenAI’s code base.” “They just notified OpenAI and collected a bounty of $6,000 for having done this.” “But the secrets that they accessed by looking at OpenAI’s code would have been worth billions of dollars at least.” “If things got really serious and there was, like, a conflict, [the CCP] could just… take our best thing and then use it.” Daniel Kokotajlo AI Futures Project
5:17

This former OpenAI researcher just declared the CCP is likely already inside America’s top AI labs. Daniel Kokotajlo: “These companies are probably thoroughly penetrated by the CCP already.” “The best way to slow down China right now is to slow down ourselves.” Here’s how: “Most of Chinese AI progress is actually just being pulled along by the U.S.” “There’s evidence that several of the leading Chinese AI companies are basically using Anthropic and maybe OpenAI models to train their own models.” “The Chinese are just getting more sophisticated at having lots of different accounts that pretend to be regular users.” “Because their security is very leaky, a lot of that information is just flowing to China.” “There was a story about three random guys who managed to hack into OpenAI’s code base.” “They just notified OpenAI and collected a bounty of $6,000 for having done this.” “But the secrets that they accessed by looking at OpenAI’s code would have been worth billions of dollars at least.” “If things got really serious and there was, like, a conflict, [the CCP] could just… take our best thing and then use it.” Daniel Kokotajlo AI Futures Project

Jan Jekielek

11,302 görüntüleme • 7 gün önce

Jensen Huang open-sourced NVIDIA's flagship AI model, its weights, its data, AND how they created it. "We open sourced the models," Huang says. "We open sourced the weights." "We open sourced the data." "We open sourced how we created it." Four layers of openness in one model release. "Open source is fundamentally necessary for many industries to join the AI revolution." "NVIDIA has the scale and the motivation to build and continue to build these AI models for as long as we shall live." The chip seller benefits when every model is open. NVIDIA is the chip seller. P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast
1:29

Jensen Huang open-sourced NVIDIA's flagship AI model, its weights, its data, AND how they created it. "We open sourced the models," Huang says. "We open sourced the weights." "We open sourced the data." "We open sourced how we created it." Four layers of openness in one model release. "Open source is fundamentally necessary for many industries to join the AI revolution." "NVIDIA has the scale and the motivation to build and continue to build these AI models for as long as we shall live." The chip seller benefits when every model is open. NVIDIA is the chip seller. P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

GeniusThinking

14,769 görüntüleme • 3 ay önce