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5/ Open source isn’t enough. Application is everything. China isn’t waiting for open-source models to catch up. They're customizing them and making them useful now in real-world settings. From factory lines to traffic systems, AI is already embedded.

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Carlo Edoardo Ferraris

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75,649 görüntüleme • 11 ay önce •via X (Twitter)

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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
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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

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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.
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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.

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"DeepSeek is great news for open source AI." Mistral CEO Arthur Mensch tells @tommackenzietv that open source models is making artificial intelligence "much cheaper" and easier for competition
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OPEN SOURCE AI IS WINNING — CLOSED MODELS CAN’T COMPETE Kai-Fu Lee — former Google China president and now head of AI venture firm Sinovation Ventures — says the future of AI belongs to open source, not closed systems like OpenAI or Anthropic. LEE: “It’s become clear that open source will be the winner. The issue really isn't whose model is 1% better is OpenAI's model even sustainable? OpenAI’s costs of $7M DeepSeek probably operated with 2% the operating expense. Here you have a competitor coming in with an open source model that's for free. Sam Altman is probably not sleeping well.” Source: Ai
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OPEN SOURCE AI IS WINNING — CLOSED MODELS CAN’T COMPETE Kai-Fu Lee — former Google China president and now head of AI venture firm Sinovation Ventures — says the future of AI belongs to open source, not closed systems like OpenAI or Anthropic. LEE: “It’s become clear that open source will be the winner. The issue really isn't whose model is 1% better is OpenAI's model even sustainable? OpenAI’s costs of $7M DeepSeek probably operated with 2% the operating expense. Here you have a competitor coming in with an open source model that's for free. Sam Altman is probably not sleeping well.” Source: Ai

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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."
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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."

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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)
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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)

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Unitree G1 Open Source Dataset In order to promote the development of the global embodied AI industry, the Unitree G1 robot operation data set is open sourced, adapted to a variety of open source solutions, and continuously updated: Open source data collection: Open source learning algorithms: Open source datasets and models: #AI #Teleoperation #OpenSourceDataset #Unitree #EmbodiedAI #Humanoid #DataCollection #AGI
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Unitree G1 Open Source Dataset In order to promote the development of the global embodied AI industry, the Unitree G1 robot operation data set is open sourced, adapted to a variety of open source solutions, and continuously updated: Open source data collection: Open source learning algorithms: Open source datasets and models: #AI #Teleoperation #OpenSourceDataset #Unitree #EmbodiedAI #Humanoid #DataCollection #AGI

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Tobi talking about making pi-autoresearch open-source: "I do not believe in software as owned" "Open-source is about making gifts to the world"
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Tobi talking about making pi-autoresearch open-source: "I do not believe in software as owned" "Open-source is about making gifts to the world"

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“We have a crisis of open source models in the Western world. Outside of China, there are no good open source models. We don't even have any in the US now. The talent, the capital and the focus to be best-in-class at pre-training, mid-training, post-training is an extremely scarce skillset. The answer for a lot of countries may just be to take an open weights model from China, post-train or fine-tune their own version, and have that be what they start from." Everett Randle Why does the West have such poor open source models and is it a national security threat to rely on open-source Chinese models Demis Hassabis Yann LeCun Aidan Gomez Lilian Weng Jan Leike
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“We have a crisis of open source models in the Western world. Outside of China, there are no good open source models. We don't even have any in the US now. The talent, the capital and the focus to be best-in-class at pre-training, mid-training, post-training is an extremely scarce skillset. The answer for a lot of countries may just be to take an open weights model from China, post-train or fine-tune their own version, and have that be what they start from." Everett Randle Why does the West have such poor open source models and is it a national security threat to rely on open-source Chinese models Demis Hassabis Yann LeCun Aidan Gomez Lilian Weng Jan Leike

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Perplexity CEO on China catching up in AI: “Whatever you did to not let them catch up didn’t even matter. They ended up catching up anyway. What’s more dangerous is they have the best open-source model. And all the American developers are building on that.” That was DeepSeek. Now just dropped GLM-5.2: • MIT open weights • 1M context • 81.0 on Terminal-Bench 2.1 • within a few points of Claude Opus 4.8 The open-source AI race is not theory anymore.

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This is AI , It is so over !! ChatLLM now hosts Wan 2.1, an open-source video model that’s already better than SORA and as good as Google Veo-2 in quality but least censored Can we say China is leading in AI video and open-source both? How to use Wan 2.1 on ChatLLM in 30 sec.

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Plexe AI (Plexe AI) is building an open-source agent to build ML models from a prompt. Their agent is already helping companies go from idea to deployed models 10x faster. Congrats on the launch, Vaibhav Dubey and Marcello De Bernardi!

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CHINA IS CATCHING UP IN AI 🇨🇳 China’s new open-source AI model, GLM-5.2 by Zhipu AI, reportedly matches Anthropic’s Claude Mythos in security bug detection. The model outperformed some Claude versions in independent cybersecurity benchmarks and can achieve Mythos-level performance. Unlike Claude Mythos, GLM-5.2 is open-source and significantly cheaper to run. The gap between US and Chinese AI models is narrowing rapidly.

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Inferact cofounder Simon Mo: “I fundamentally believe that open source, especially how vLLM itself is structured, is critical to the AI infrastructure in the world. And what we want to do with Inferact is to support, maintain, steward and push forward the open source ecosystem.” “Open source moves so fast that the only way to stay ahead is adopting... And in fact this is exactly why we're staying all in on open source.” Simon Mo

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In an AI world, effort is no longer the bottleneck—ideas are. Open-source AI enables anyone to have access to build anything they want without depending on the one-sided gates that closed-source offers. This is amplified by the open innovation that open-source development enables.
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In an AI world, effort is no longer the bottleneck—ideas are. Open-source AI enables anyone to have access to build anything they want without depending on the one-sided gates that closed-source offers. This is amplified by the open innovation that open-source development enables.

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The US government is becoming more involved in controlling AI models, while open-source Chinese models are improving at a rapid pace. Jordi Visser explains why this should push more people to open-source AI in the coming months.
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