正在加载视频...

视频加载失败

返回首页

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...

luo_yuehan's profile picture

Johannes Maria

50,225 subscribers

24,512 次观看 • 1 年前 •via X (Twitter)

教育科学技术新闻政治
LIVE

Anya Rossi• Live Now

Private livecam show

11 条评论

Rosanna Tarsiero 的头像
Rosanna Tarsiero1 年前

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

BillOckham 的头像
BillOckham1 年前

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

nicco 的头像
nicco1 年前

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.

Hollywood_Moon_Landing 的头像
Hollywood_Moon_Landing1 年前

Deep Seek

Chinese Genesis 的头像
Chinese Genesis1 年前

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.

Soojin Snow 的头像
Soojin Snow1 年前

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

The Information 的头像
The Information1 年前

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

SpartakReview 的头像
SpartakReview1 年前

Stop using Meta products

Mariano Cisneros Jr. 的头像
Mariano Cisneros Jr.1 年前

Propaganda

Mariano Cisneros Jr. 的头像
Mariano Cisneros Jr.1 年前

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.

🗣 📣 UBI NOW 的头像
🗣 📣 UBI NOW1 年前

😯

相关视频

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.
0:42

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 次观看 • 1 个月前

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

306,650 次观看 • 3 个月前

🔥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

69,973 次观看 • 27 天前

🚀 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

151,764 次观看 • 5 个月前

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

11,011 次观看 • 1 年前

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 次观看 • 1 个月前

How does the U.S. win the AI race without tightening export controls on advanced AI chips to China? NVIDIA CEO: • China will not base its defense on Western tech • The Pentagon doesn’t use Chinese chips • China has domestic AI chips (Huawei, startups) and manufactures at scale, so its military has access • The U.S. needs a nuanced plan to stay ahead • Make the American tech stack the global standard • If others can’t build on the American stack, they’ll build on another stack • KPI David Sacks 5y → 80% = win; 20% = loss • China: 50% of AI researchers, 30% of the tech market, ~1B users • Cost of isolation: forfeits ~30% of the market, blocks diffusion of U.S. tech, concedes the rest of the world • President Trump wouldn’t view isolation as a winning strategy To win the AI race, the U.S. must lead with the best chips—and win developers and markets worldwide.
2:32

How does the U.S. win the AI race without tightening export controls on advanced AI chips to China? NVIDIA CEO: • China will not base its defense on Western tech • The Pentagon doesn’t use Chinese chips • China has domestic AI chips (Huawei, startups) and manufactures at scale, so its military has access • The U.S. needs a nuanced plan to stay ahead • Make the American tech stack the global standard • If others can’t build on the American stack, they’ll build on another stack • KPI David Sacks 5y → 80% = win; 20% = loss • China: 50% of AI researchers, 30% of the tech market, ~1B users • Cost of isolation: forfeits ~30% of the market, blocks diffusion of U.S. tech, concedes the rest of the world • President Trump wouldn’t view isolation as a winning strategy To win the AI race, the U.S. must lead with the best chips—and win developers and markets worldwide.

Ask Perplexity

156,952 次观看 • 10 个月前

🤝 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 次观看 • 7 个月前

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:
0:38

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 次观看 • 1 年前

❓What If Every AI Model Worked Through One Connection? That’s the question Cointelegraph explores in its latest video featuring DGrid AI.🌊 DGrid gives developers one API to access 200+ AI models, removing the hassle of managing providers, pricing, and integrations. Switch models freely, choose the best fit for every task, and verify delivery with Proof of Quality.🚀 Watch the full video👇
2:49

❓What If Every AI Model Worked Through One Connection? That’s the question Cointelegraph explores in its latest video featuring DGrid AI.🌊 DGrid gives developers one API to access 200+ AI models, removing the hassle of managing providers, pricing, and integrations. Switch models freely, choose the best fit for every task, and verify delivery with Proof of Quality.🚀 Watch the full video👇

DGrid AI

12,123 次观看 • 1 个月前

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 次观看 • 2 个月前

Four American firms, Surge AI, Mercor, AfterQuery and Turing are turning the expertise of U.S. coders, physicians, lawyers, engineers and scientists into the training data that gives leading AI models their edge. If any of these companies are supplying the CCP or the Chinese military with the SAME sensitive data while also bidding for U.S. Army or Pentagon contracts, they should be disqualified. Why should China get access to the same American expertise and datasets being used to train our own AI? Washington’s inaction is allowing the CCP to gain access to the American expertise that gives our AI systems their strategic edge. I hope the Trump administration is keeping an eye on this.
2:17

Four American firms, Surge AI, Mercor, AfterQuery and Turing are turning the expertise of U.S. coders, physicians, lawyers, engineers and scientists into the training data that gives leading AI models their edge. If any of these companies are supplying the CCP or the Chinese military with the SAME sensitive data while also bidding for U.S. Army or Pentagon contracts, they should be disqualified. Why should China get access to the same American expertise and datasets being used to train our own AI? Washington’s inaction is allowing the CCP to gain access to the American expertise that gives our AI systems their strategic edge. I hope the Trump administration is keeping an eye on this.

Laura Loomer

79,428 次观看 • 1 天前

Chips are the foundation of every AI experience. That's why understanding the hardware behind the software has never mattered more. When you ask a chatbot a question or generate an image, there's a physical chip somewhere doing the heavy lifting. For most of computing history, that was a CPU—the "brain" of a computer—great for general tasks needed to run software and operating systems. AI is more complex: for workloads called training and inference, AI needs to perform trillions of calculations in parallel. That's where AI accelerators come in. Purpose-built accelerators can deliver significantly better performance and efficiency than general-purpose chips. Amazon Web Services Trainium chips are an example—purpose-built for AI training and inference. New chips for a new era. ⬇️
0:43

Chips are the foundation of every AI experience. That's why understanding the hardware behind the software has never mattered more. When you ask a chatbot a question or generate an image, there's a physical chip somewhere doing the heavy lifting. For most of computing history, that was a CPU—the "brain" of a computer—great for general tasks needed to run software and operating systems. AI is more complex: for workloads called training and inference, AI needs to perform trillions of calculations in parallel. That's where AI accelerators come in. Purpose-built accelerators can deliver significantly better performance and efficiency than general-purpose chips. Amazon Web Services Trainium chips are an example—purpose-built for AI training and inference. New chips for a new era. ⬇️

Amazon

27,151 次观看 • 2 个月前

U.S. Navy Bans DeepSeek Over 'Security Concerns' As 'Substantial' Evidence Emerges Chinese AI Ripped Off ChatGPT | ZeroHedge The U.S. Navy has instructed service members to avoid using the Chinese AI platform DeepSeek, citing "potential security and ethical concerns," according to CNBC. An email sent to "shipmates" in recent days, confirmed by CNBC on Tuesday, referenced the Navy's AI policy and emphasized the importance of refraining from using DeepSeek. The memo warned service members against using the platform "for any work-related tasks or personal use" and instructed them to "avoid downloading, installing, or using the DeepSeek model in any capacity." The warning follows the recent rise of DeepSeek’s R1 model, which has garnered significant attention worldwide, particularly within the U.S. business and technology sectors. The R1 model has demonstrated capabilities comparable to OpenAI’s models. In December, DeepSeek claimed it had successfully trained a large language model in just two months at a cost of $6 million—a figure disputed by technologists—despite U.S. restrictions on semiconductor chip exports to China. The R1, an open-source model, surged to the top of Apple’s app store rankings this week, triggering a market sell-off. Shares of AI chipmakers Nvidia and Broadcom plummeted by 17% on Monday, wiping out a combined $800 billion in market value. Nvidia has since recovered some of its losses. On Monday, DeepSeek announced a temporary restriction on user registrations, citing "large-scale malicious attacks" on its services, before later restoring normal operations. DeepSeek’s advancements have challenged the long-held belief that the U.S. was significantly ahead of China in AI development. Asked how R1 caught up to ChatGPT, AI and Crypto Czar David Sacks suggested that DeepSeek may have leveraged a technique known as "distillation" to train its model using OpenAI’s technology. “There’s a technique in AI called distillation, which you’re going to hear a lot about. It’s when one model learns from another model,” Sacks explained to Fox News. “Effectively, the student model asks the parent model millions of questions, mimicking the reasoning process and absorbing knowledge.” “They can essentially extract the knowledge out of the model,” he continued. “There’s substantial evidence that what DeepSeek did here was distill knowledge from OpenAI’s models.” “I don’t think OpenAI is too happy about this,” Sacks added. President Donald Trump has said that DeepSeek “should be a wake-up call” for U.S. tech companies. “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 president told reporters ahead of a planned speech before Republican lawmakers in Florida. Read more:
1:09

U.S. Navy Bans DeepSeek Over 'Security Concerns' As 'Substantial' Evidence Emerges Chinese AI Ripped Off ChatGPT | ZeroHedge The U.S. Navy has instructed service members to avoid using the Chinese AI platform DeepSeek, citing "potential security and ethical concerns," according to CNBC. An email sent to "shipmates" in recent days, confirmed by CNBC on Tuesday, referenced the Navy's AI policy and emphasized the importance of refraining from using DeepSeek. The memo warned service members against using the platform "for any work-related tasks or personal use" and instructed them to "avoid downloading, installing, or using the DeepSeek model in any capacity." The warning follows the recent rise of DeepSeek’s R1 model, which has garnered significant attention worldwide, particularly within the U.S. business and technology sectors. The R1 model has demonstrated capabilities comparable to OpenAI’s models. In December, DeepSeek claimed it had successfully trained a large language model in just two months at a cost of $6 million—a figure disputed by technologists—despite U.S. restrictions on semiconductor chip exports to China. The R1, an open-source model, surged to the top of Apple’s app store rankings this week, triggering a market sell-off. Shares of AI chipmakers Nvidia and Broadcom plummeted by 17% on Monday, wiping out a combined $800 billion in market value. Nvidia has since recovered some of its losses. On Monday, DeepSeek announced a temporary restriction on user registrations, citing "large-scale malicious attacks" on its services, before later restoring normal operations. DeepSeek’s advancements have challenged the long-held belief that the U.S. was significantly ahead of China in AI development. Asked how R1 caught up to ChatGPT, AI and Crypto Czar David Sacks suggested that DeepSeek may have leveraged a technique known as "distillation" to train its model using OpenAI’s technology. “There’s a technique in AI called distillation, which you’re going to hear a lot about. It’s when one model learns from another model,” Sacks explained to Fox News. “Effectively, the student model asks the parent model millions of questions, mimicking the reasoning process and absorbing knowledge.” “They can essentially extract the knowledge out of the model,” he continued. “There’s substantial evidence that what DeepSeek did here was distill knowledge from OpenAI’s models.” “I don’t think OpenAI is too happy about this,” Sacks added. President Donald Trump has said that DeepSeek “should be a wake-up call” for U.S. tech companies. “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 president told reporters ahead of a planned speech before Republican lawmakers in Florida. Read more:

Owen Gregorian

75,351 次观看 • 1 年前