Artificial Intelligence

Share & Discuss AI tech, applications, standards, policy, predictions & fictions – incl related technical, expectational, ethical and societal issues.

Welcome to the Community

Welcome to the Artificial Intelligence Community, a group for people interested in AI & technology 🤖

The development of AI is as fundamental as the creation of the microprocessor, the personal computer, the Internet, and the mobile phone. It will change the way people work, learn, travel, get health care, and communicate with each other. Entire industries will reorient around it. Businesses will distinguish themselves by how well they use it.

This community explores AI technologies, AI (robotic) embodiments, AI applications, AI-human interactions, AI standards and policy, AI predictions and fictions – and their related technical, expectational, ethical and societal issues.

Share & discuss the latest research, techniques, and advancements in artificial intelligence, data science, data visualization, deep learning, machine learning, NLP, computer vision, ethics in AI, robotics, self-driving cars, paper discussions, daily AI news and more!  We welcome people from diverse backgrounds and experience levels and offers a valuable “village square” for sharing ideas and opinions across the AI community. 🦾

DeepSeek V3, the latest release from #🇨🇳 ChinA.I. 🤖🧠🦾🤖  firm DeepSeek, has set a new standard for open #Artificial Intelligence  models. With an impressive 671 billion parameters, it outperforms competitors like Meta’s Llama 3.1 and OpenAI’s GPT-4o in tasks such as coding, translation, and writing. What’s even more remarkable is its training cost—just $5.5 million, a fraction of what similar models require. However, DeepSeek V3’s design reflects Chinese regulatory influences, avoiding discussions on politically sensitive topics to align with “core socialist values.”

https://techcrunch.com/2024/12/26/deepseeks-new-ai-model-appears-to-be-one-of-the-best-open-challengers-yet/?guccounter=1

DeepSeek's new AI model appears to be one of the best 'open' challengers yet | TechCrunch

🇨🇳 ChinA.I. 🤖🧠🦾🤖

DeepSeek V3, the latest release from #🇨🇳 ChinA.I. 🤖🧠🦾🤖  firm DeepSeek, has set a new standard for open #Artificial Intelligence  models. With an impressive 671 billion parameters, it outperforms competitors like Meta’s Llama 3.1 and OpenAI’s GPT-4o in tasks such as coding, translation, and writing. What’s even more remarkable is its training cost—just $5.5 million, a fraction of what similar models require. However, DeepSeek V3’s design reflects Chinese regulatory influences, avoiding discussions on politically sensitive topics to align with “core socialist values.”  https://techcrunch.com/2024/12/26/deepseeks-new-ai-model-appears-to-be-one-of-the-best-open-challengers-yet/?guccounter=1

I’m Sam, I’m the curriculum director at Gregorio Perfecto High School in Manila, Philippines. I’ve been an educator and administrator for just over 25 years. Our school is spending a good amount on edtech, but I don’t feel like we’re getting the most out of it. I’d love to learn from everyone what is working for them. Thanks!

Sam Mendoza

Chinese artificial intelligence firm DeepSeek made headlines early this year for roiling the US stock market. On January 27, a massive sell-off wiped out nearly US$1 trillion in tech stocks, including US$600 billion from semiconductor giant Nvidia alone.

The British scientific journal Nature this week acknowledged that the disruption caused in January by the Chinese start-up's release of reasoning model R1 showed how “the United States was not as far ahead in AI as many experts had thought”.

That proved to be a major reason for Nature to include 40-year-old Liang Wenfeng, the founder and CEO of Hangzhou-based DeepSeek, among its list of the top 10 “people who shaped science in 2025”.

In its profile of Liang, Nature described him as "finance whizz" who made millions of dollars "applying AI algorithms to the stock market before using the cash in 2023 to establish DeepSeek", a spin-off from Liang’s High-Flyer Quantitative Fund.

In many ways, “DeepSeek has been hugely influential”, said Adina Yakefu, a researcher at AI developer platform Hugging Face, in the Nature profile.

The performance of DeepSeek’s R1 and V3, released in December, rivalled that of offerings from OpenAI and Meta Platforms at a fraction of the training cost, which cast doubt on the assumptions that underpinned the high valuations of US semiconductor and AI companies.

Training costs for Meta Platforms’ Llama 3 405B model, for example, were more than 10 times greater, according to Nature.

DeepSeek’s open-source AI models, which are downloaded and built on for free, have been “a boon for researchers who want to adapt algorithms to their own field”, according to Nature. That development had “prompted other companies in China and the US to follow suit by releasing their own open models”.

That underscored the strides being made by #🇨🇳 ChinA.I. 🤖🧠🦾🤖 developers in spite of US tech restrictions barring mainland firms’ access to advanced graphics processing units.

https://www.scmp.com/tech/tech-trends/article/3335748/deepseeks-liang-wenfeng-makes-cut-top-10-people-who-shaped-science-2025?utm_medium=email&utm_source=cm&utm_campaign=enlz-insidechinatech&utm_content=20251212&tpcc=enlz-insidechinatech&UUID=f9aaf50d26626de042873bfe2733d91d&tc=11

DeepSeek’s Liang Wenfeng among top 10 ‘people who shaped science in 2025’

Chinese artificial intelligence firm DeepSeek made headlines early this year for roiling the US stock market. On January 27, a massive sell-off wiped out nearly US$1 trillion in tech stocks, including US$600 billion from semiconductor giant Nvidia alone.  The British scientific journal Nature this week acknowledged that the disruption caused in January by the Chinese start-up's release of reasoning model R1 showed how “the United States was not as far ahead in AI as many experts had thought”.  That proved to be a major reason for Nature to include 40-year-old Liang Wenfeng, the founder and CEO of Hangzhou-based DeepSeek, among its list of the top 10 “people who shaped science in 2025”.  In its profile of Liang, Nature described him as "finance whizz" who made millions of dollars "applying AI algorithms to the stock market before using the cash in 2023 to establish DeepSeek", a spin-off from Liang’s High-Flyer Quantitative Fund.  In many ways, “DeepSeek has been hugely influential”, said Adina Yakefu, a researcher at AI developer platform Hugging Face, in the Nature profile.  The performance of DeepSeek’s R1 and V3, released in December, rivalled that of offerings from OpenAI and Meta Platforms at a fraction of the training cost, which cast doubt on the assumptions that underpinned the high valuations of US semiconductor and AI companies.  Training costs for Meta Platforms’ Llama 3 405B model, for example, were more than 10 times greater, according to Nature.  DeepSeek’s open-source AI models, which are downloaded and built on for free, have been “a boon for researchers who want to adapt algorithms to their own field”, according to Nature. That development had “prompted other companies in China and the US to follow suit by releasing their own open models”.  That underscored the strides being made by #🇨🇳 ChinA.I. 🤖🧠🦾🤖 developers in spite of US tech restrictions barring mainland firms’ access to advanced graphics processing units.  https://www.scmp.com/tech/tech-trends/article/3335748/deepseeks-liang-wenfeng-makes-cut-top-10-people-who-shaped-science-2025?utm_medium=email&utm_source=cm&utm_campaign=enlz-insidechinatech&utm_content=20251212&tpcc=enlz-insidechinatech&UUID=f9aaf50d26626de042873bfe2733d91d&tc=11

British journal Nature’s top 10 list gives credit to the man behind the widely acclaimed, Chinese-developed R1 reasoning AI model.