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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

50,225 subscribers

24,512 Aufrufe • vor 1 Jahr •via X (Twitter)

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11 Kommentare

Profilbild von Rosanna Tarsiero
Rosanna Tarsierovor 1 Jahr

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

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BillOckhamvor 1 Jahr

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

Profilbild von nicco
niccovor 1 Jahr

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_Landingvor 1 Jahr

Deep Seek

Profilbild von Chinese Genesis
Chinese Genesisvor 1 Jahr

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 Snowvor 1 Jahr

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

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The Informationvor 1 Jahr

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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SpartakReviewvor 1 Jahr

Stop using Meta products

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Mariano Cisneros Jr.vor 1 Jahr

Propaganda

Profilbild von Mariano Cisneros Jr.
Mariano Cisneros Jr.vor 1 Jahr

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 NOWvor 1 Jahr

😯

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Preview of a Gaia 🌱 device! Turn-by-turn voice conversation with your own knowledge assistant (a Gaia node). 💸 $15 worth of hardware (pre-tariff!) 🌱 Voice-to-text, LLM and text-to-voice AI models on Gaia nodes 📖 Open source all-the-way — hardware, firmware, server, AI models 🦀 Rust all-the-way from firmware to AI server Notice how I switched to another language (Chinese) in the middle of the conversation and it seamlessly switched too. Very smart. PS. we are still optimizing performance before the software release.

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Marktechpost AI Dev News ⚡

31,551 Aufrufe • vor 7 Monaten

America has the edge in the world’s most powerful AI models, no question. But China is playing a different game: efficiency, scale, and global deployment. Kyle Chan from Brookings China explains: "Does winning mean developing the world's most powerful AI models? If yes, then the us has the decisive lead. American ai models are widely recognized as the best in the world on virtually every metric you can think of, from math and reasoning to coding and AI agents, American private companies continue to set the pace at the technological frontier supported by deep capital markets, a dynamic innovation ecosystem, and the best talent from around the world. China's AI models are improving quickly but continue to lag behind. Chinese AI companies face real constraints on compute due to our export controls and their own limited capital resources, so instead they're prioritizing other goals. They're focused on efficiency, building models that are cheaper to train and run. They're focused on adoption using an open source strategy to win users around the world, and they're focused on integration with other platforms and services. On sheer performance, I would expect the gap between our models and theirs to persist or even widen over time. But model performance is not everything."
1:10

America has the edge in the world’s most powerful AI models, no question. But China is playing a different game: efficiency, scale, and global deployment. Kyle Chan from Brookings China explains: "Does winning mean developing the world's most powerful AI models? If yes, then the us has the decisive lead. American ai models are widely recognized as the best in the world on virtually every metric you can think of, from math and reasoning to coding and AI agents, American private companies continue to set the pace at the technological frontier supported by deep capital markets, a dynamic innovation ecosystem, and the best talent from around the world. China's AI models are improving quickly but continue to lag behind. Chinese AI companies face real constraints on compute due to our export controls and their own limited capital resources, so instead they're prioritizing other goals. They're focused on efficiency, building models that are cheaper to train and run. They're focused on adoption using an open source strategy to win users around the world, and they're focused on integration with other platforms and services. On sheer performance, I would expect the gap between our models and theirs to persist or even widen over time. But model performance is not everything."

Select Committee on China

60,135 Aufrufe • vor 3 Monaten

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1:48

Jensen Huang explains the AI industry as a five layer cake, and why "model only" companies are missing the real map. "AI is not just a model. AI is really a five layer cake to think about it." "From the lowest level, it requires energy because AI is produced, generated in real time, just like you and I right now. We need calories, we need energy." "The next level is chips. This is where Nvidia is and where a lot of the companies in Taiwan are." "The layer above that is infrastructure: land, power, data center, as well as the cloud service software that turns the chips into a cloud service." "The layer above that is where most people think about when they think about AI, which is models. ChatGPT was revolutionary. Claude Code is now incredibly successful. But AI is much more than just human language." Most people are still debating the model layer. Jensen is describing an industrial stack: energy, chips, infrastructure, models, and applications. If you are building in AI, this is the map that matters. The winning product may look like software, but the bottlenecks are calories, land, power, data centers, chips, and distribution. - Jensen Huang (NVIDIA), CEO of Nvidia, on CNA

Karl Mehta

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