Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

Eric Schmidt says China has made the inverse decision to open-source its AI models Startups already use these free, high-quality LLMs Over the next 5–10 years, as we get closer to AGI and hit major milestones in biology/math, the market will likely flood with millions of smaller models

Haider.

68,907 subscribers

221,706 просмотров • 8 месяцев назад •via X (Twitter)

Новости и политика Наука и технологии

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Eric Schmidt says robotics will completely transform the nature of work over the next few decades - but in the next 5–10 years, the impact will likely be positive for the job market.

Eric Schmidt says robotics will completely transform the nature of work over the next few decades - but in the next 5–10 years, the impact will likely be positive for the job market.

The Humanoid Hub

15,818 просмотров • 1 год назад

Former Google CEO Eric Schmidt on the US - China AI race: The U.S. is chasing AGI. China is shipping day-to-day AI apps, and robotics. If Chinese open-source models get good enough, much of the world could end up building on them.

Former Google CEO Eric Schmidt on the US - China AI race: The U.S. is chasing AGI. China is shipping day-to-day AI apps, and robotics. If Chinese open-source models get good enough, much of the world could end up building on them.

The AI Investor

23,224 просмотров • 6 месяцев назад

Finally, someone who isn't afraid to tell the truth: Demis Hassabis, CEO of $GOOG DeepMind, says Artificial General Intelligence (AGI) is still 5 to 10 years away before real progress is made. Eric Schmidt, former Google CEO, has made similar predictions, 5 to 7 years away... But as usual, the market expects results in 3 years...

Finally, someone who isn't afraid to tell the truth: Demis Hassabis, CEO of $GOOG DeepMind, says Artificial General Intelligence (AGI) is still 5 to 10 years away before real progress is made. Eric Schmidt, former Google CEO, has made similar predictions, 5 to 7 years away... But as usual, the market expects results in 3 years...

Bourbon Capital

76,459 просмотров • 8 месяцев назад

ELON: CHINA HAS THE BEST OPEN SOURCE AI MODELS RIGHT NOW “The best open source models are generally from China, which is bizarre. I think the second best one, or maybe it’s better than second best, is Grok 2.5. The open source model is actually very good, and we will continue to open source our models.” Source: The All-In Podcast

ELON: CHINA HAS THE BEST OPEN SOURCE AI MODELS RIGHT NOW “The best open source models are generally from China, which is bizarre. I think the second best one, or maybe it’s better than second best, is Grok 2.5. The open source model is actually very good, and we will continue to open source our models.” Source: The All-In Podcast

Mario Nawfal

1,163,582 просмотров • 9 месяцев назад

The future of AI is open-source. And ollama is the easiest way to build AI applications with open-source LLMs. Here's how to build a free, private RAG app using open-source tools. We'll use: - Ollama for LLMs and embedding models - PostgreSQL for data storage and retrieval - pgai Vectorizer for embedding creation and sync (I use Nomic for embeddings and tinnyllama as my LLM but you can substitute them for any models on Ollama)

The future of AI is open-source. And ollama is the easiest way to build AI applications with open-source LLMs. Here's how to build a free, private RAG app using open-source tools. We'll use: - Ollama for LLMs and embedding models - PostgreSQL for data storage and retrieval - pgai Vectorizer for embedding creation and sync (I use Nomic for embeddings and tinnyllama as my LLM but you can substitute them for any models on Ollama)

Avthar

34,261 просмотров • 1 год назад

🇺🇸 EX-GOOGLE BOSS: AI WILL REPLACE MOST PROGRAMMERS IN A YEAR—SUPERINTELLIGENCE COULD ARRIVE IN SIX Former Google CEO, Eric Schmidt: "We believe that in the next year, the vast majority of programmers will be replaced by AI. Within three to five years, we’ll see AGI—systems as smart as the best humans. And in six years, artificial superintelligence—smarter than all of us combined. This is happening fast, and society isn’t ready." Source: Eric Schmidt vitrupo

🇺🇸 EX-GOOGLE BOSS: AI WILL REPLACE MOST PROGRAMMERS IN A YEAR—SUPERINTELLIGENCE COULD ARRIVE IN SIX Former Google CEO, Eric Schmidt: "We believe that in the next year, the vast majority of programmers will be replaced by AI. Within three to five years, we’ll see AGI—systems as smart as the best humans. And in six years, artificial superintelligence—smarter than all of us combined. This is happening fast, and society isn’t ready." Source: Eric Schmidt vitrupo

Mario Nawfal

1,458,539 просмотров • 1 год назад

SITUATION EXPLAINED: What happens to open source when the US restricts access to frontier AI models? We asked Adrian Dittmann: "China is releasing these models [open source] to gain international dominance, people will work on these things and say, 'Hey, maybe I can contribute to this if it's open source.' This is the thing that actually gets them talent." "If you're not allowed into the next GPT release or you're not allowed to use Fable, then what are you gonna do? You're stuck with the existing stuff, or you will have to use an open source model that might have subtly better capabilities." "The United States will catch up to open source in some form as well. They seem to just be maximizing product creation." "The problem with open source models is you have to be kind of a nerd in order to use them properly. Consumer facing, the effects will be minimal because the average person doesn't care about open source models. They only care whether or not they can do a quick search with Gemini or ChatGPT."

SITUATION EXPLAINED: What happens to open source when the US restricts access to frontier AI models? We asked Adrian Dittmann: "China is releasing these models [open source] to gain international dominance, people will work on these things and say, 'Hey, maybe I can contribute to this if it's open source.' This is the thing that actually gets them talent." "If you're not allowed into the next GPT release or you're not allowed to use Fable, then what are you gonna do? You're stuck with the existing stuff, or you will have to use an open source model that might have subtly better capabilities." "The United States will catch up to open source in some form as well. They seem to just be maximizing product creation." "The problem with open source models is you have to be kind of a nerd in order to use them properly. Consumer facing, the effects will be minimal because the average person doesn't care about open source models. They only care whether or not they can do a quick search with Gemini or ChatGPT."

MTS

14,406 просмотров • 1 месяц назад

Anthropic CEO Dario Amodei says there will be "a great acceleration" due to AI, with 100 years of progress in biology over the next 5-10 years, resulting in a doubling of the human lifespan in that timeframe

Anthropic CEO Dario Amodei says there will be "a great acceleration" due to AI, with 100 years of progress in biology over the next 5-10 years, resulting in a doubling of the human lifespan in that timeframe

Tsarathustra

281,804 просмотров • 1 год назад

“AI MODELS COULD BECOME 10× SMALLER WITHOUT LOSING MOST OF THEIR INTELLIGENCE.” Mark Zuckerberg says one of the most powerful developments in AI is model distillation: taking the capabilities of a much larger model and transferring them into a much smaller one. - Meta's huge frontier models can serve as "teachers" for smaller models. - Zuckerberg says a model could potentially retain around 90–95% of the larger model's intelligence while being only ~10% of its size. - That means dramatically lower inference costs, memory requirements and computing power. - Developers can distill and customize these capabilities for their own applications. And that's where open-source models come into the picture.

“AI MODELS COULD BECOME 10× SMALLER WITHOUT LOSING MOST OF THEIR INTELLIGENCE.” Mark Zuckerberg says one of the most powerful developments in AI is model distillation: taking the capabilities of a much larger model and transferring them into a much smaller one. - Meta's huge frontier models can serve as "teachers" for smaller models. - Zuckerberg says a model could potentially retain around 90–95% of the larger model's intelligence while being only ~10% of its size. - That means dramatically lower inference costs, memory requirements and computing power. - Developers can distill and customize these capabilities for their own applications. And that's where open-source models come into the picture.

SciTech Era

76,479 просмотров • 12 дней назад

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

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 просмотров • 2 месяцев назад

Eric Schmidt says we're on the verge of AI replacing most programming and math tasks these domains are scale-free and don't require real-world data — just compute "world-class AI mathematicians will emerge in the next year, and top-tier AI programmers within two"

Eric Schmidt says we're on the verge of AI replacing most programming and math tasks these domains are scale-free and don't require real-world data — just compute "world-class AI mathematicians will emerge in the next year, and top-tier AI programmers within two"

Haider.

83,137 просмотров • 1 год назад

AkashChat has a brand new look. · An updated, modern interface. · Ultra-fast and responsive. · Access to 8 of the leading open-source AI models. Still completely free to use, with no sign-in required.

Akash Network

33,712 просмотров • 1 год назад

Earlier this week at GTC, we announced our partnership with Nvidia. We will work with Nvidia to build strong, American open-source models that are at the frontier of scientific reasoning. These models will be essential for the US to compete with China on science in the coming decades. Jensen is committing to spend tens of billions of dollars developing open-source models, and we are excited to be a partner with them in figuring out how to benchmark, train and use those agents to accelerate scientific research. We have already open-sourced some of the work we have done with them, and are looking forward to open-sourcing more. There are few things today that are more important. See our blog post below, and watch the video to learn more, narrated by the man himself.

Earlier this week at GTC, we announced our partnership with Nvidia. We will work with Nvidia to build strong, American open-source models that are at the frontier of scientific reasoning. These models will be essential for the US to compete with China on science in the coming decades. Jensen is committing to spend tens of billions of dollars developing open-source models, and we are excited to be a partner with them in figuring out how to benchmark, train and use those agents to accelerate scientific research. We have already open-sourced some of the work we have done with them, and are looking forward to open-sourcing more. There are few things today that are more important. See our blog post below, and watch the video to learn more, narrated by the man himself.

Sam Rodriques

23,763 просмотров • 5 месяцев назад

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 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 просмотров • 1 месяц назад

Meet #DBRX: a general-purpose LLM that sets a new standard for efficient open source models. Use the DBRX model in your RAG apps or use the DBRX design to build your own custom LLMs and improve the quality of your GenAI applications.

Meet #DBRX: a general-purpose LLM that sets a new standard for efficient open source models. Use the DBRX model in your RAG apps or use the DBRX design to build your own custom LLMs and improve the quality of your GenAI applications.

Databricks

327,800 просмотров • 2 лет назад

Run state-of-the-art RAG applications locally on your computer with ollama and use all the fantastic open-source models like llama3, msk's awesome models, or Command R from Cohere With Verba 1.0, we put it all in your hands 🙌 Get on board for a wild open-source ride, we're bridging any moat as open-source is here to win

Run state-of-the-art RAG applications locally on your computer with ollama and use all the fantastic open-source models like llama3, msk's awesome models, or Command R from Cohere With Verba 1.0, we put it all in your hands 🙌 Get on board for a wild open-source ride, we're bridging any moat as open-source is here to win

Philip Vollet

41,450 просмотров • 2 лет назад

Alexandr Wang says AI will transform civilization faster than most people realize. - Meta has seen agentic systems outperform teams of 100 engineers on certain tasks. - Intelligence and agency will become abundant, no longer the bottleneck of progress. - Humanity could change more in the next 10 years than in the last 100 years. - Systematic and rigorous thinking are still incredibly important because of abstraction layer. - Even if AI models stopped improving today, we'd still have decades of economic and societal transformation ahead. - AI agents could let startups compete with tech giants by acting like teams of thousands. - Future AI systems may coordinate millions, then trillions of AI agents working together. - Every major AI wave has been roughly 10× bigger than the last: Self-driving AI → LLMs | LLMs → Coding agents | Coding agents → The next generation of AI products 👀 - AI could make building companies 10× to 100× easier, shifting the scarce resource from intelligence to vision and ambition. He believes we're entering a once in a civilization opportunity to build companies, discover new science and solve humanity's biggest problems.

Alexandr Wang says AI will transform civilization faster than most people realize. - Meta has seen agentic systems outperform teams of 100 engineers on certain tasks. - Intelligence and agency will become abundant, no longer the bottleneck of progress. - Humanity could change more in the next 10 years than in the last 100 years. - Systematic and rigorous thinking are still incredibly important because of abstraction layer. - Even if AI models stopped improving today, we'd still have decades of economic and societal transformation ahead. - AI agents could let startups compete with tech giants by acting like teams of thousands. - Future AI systems may coordinate millions, then trillions of AI agents working together. - Every major AI wave has been roughly 10× bigger than the last: Self-driving AI → LLMs | LLMs → Coding agents | Coding agents → The next generation of AI products 👀 - AI could make building companies 10× to 100× easier, shifting the scarce resource from intelligence to vision and ambition. He believes we're entering a once in a civilization opportunity to build companies, discover new science and solve humanity's biggest problems.

SciTech Era

27,353 просмотров • 22 дней назад

Demis says he wants to see a Western open source AI stack and that we’re losing to China. He also says Google doesn’t have enough compute to build two frontier (open and closed) models, which is why Gemma is a smaller family of models. Watch this incredible clip. Shout out Y Combinator and Garry Tan for the fantastic interview.

Demis says he wants to see a Western open source AI stack and that we’re losing to China. He also says Google doesn’t have enough compute to build two frontier (open and closed) models, which is why Gemma is a smaller family of models. Watch this incredible clip. Shout out Y Combinator and Garry Tan for the fantastic interview.

Matthew Berman

296,678 просмотров • 3 месяцев назад