Haq's Musings

Riaz Haq writes this data-driven blog to provide information, express his opinions and make comments on many topics. Subjects include personal activities, education, South Asia, South Asian community, regional and international affairs and US politics to financial markets. For investors interested in South Asia, Riaz has another blog called South Asia Investor at http://www.southasiainvestor.com and a YouTube video channel https://www.youtube.com/channel/UCkrIDyFbC9N9evXYb9cA_gQ

Showing posts with label OpenAI. Show all posts

Sunday, July 26, 2026

AI Battle: A Chinese AI Model Fights Off OpenAI's Rogue Agent

Rogue AI agents are no longer just the stuff of science fiction. When an OpenAI rogue agent launched a cyber attack against AI startup Hugging Face this month, the company fought fire with fire, using an open-source Chinese AI model to defend against it.

During a test in a sandbox, an OpenAI autonomous agent managed to sneak out and attack a website operated by HuggingFace, an AI startup based in New York City. The OpenAI agent was not connected to the Internet but it found a way to access it and escaped its sandbox.

It took two days for Hugging Face to put an end to the attack, with help from GLM 5.2, an open weight system created by Chinese company Z.ai. All of this happened in the middle of a debate in the US about banning the use of Chinese AI models.

This incident gives one more reason to companies, including US-based firms, which are rapidly adopting Chinese open-weight AI models to save money. For example, Airbnb relies on Alibaba’s Qwen model, startups like Lindy have transitioned from Anthropic to DeepSeek, and DoorDash has employed Moonshot AI for specific workflows. Overall, Chinese open-source options now account for over 40% of Hugging Face AI community and 80% of open-source developer usage globally.

Open-source AI models—which are roughly 8 to 10 times cheaper to run than proprietary ones—are rapidly closing the reasoning and contextual intelligence gap with frontier models like Anthropic's Claude and OpenAI's ChatGPT. However, open source models shift the responsibility of infrastructure building, maintenance and security to the user.

Open-source AI models are also a game-changer for developing nations like Pakistan, providing affordable, customizable technology without relying on expensive proprietary licenses or restrictive API models. Such models, like the ones offered by Chinese companies, empower governments and local developers to build "sovereign AI" tailored to regional languages, cultural contexts, and infrastructure limits, bypassing the need for massive data centers and reliance on foreign powers.

Monday, July 20, 2026

Pakistan Joins China in World AI Cooperation Organization (WAICO)

On July 16 in Shanghai, 29 countries, including China, Pakistan and Russia, signed the founding agreement of WAICO, World AI Cooperation Organization. Every BRICS founding member is in, except India. This agreement follows the launch of the US-led Pax Silica, a 24-member coalition, including India, which is designed to counter China's AI efforts. The stated goal of both these competing groups is to provide global governance, including building guardrails and setting standards, for artificial intelligence (AI) technologies.

US-China AI Competition

The announcement of WAICO coincided with the launch of Kimi K3 by Chinese startup Moonshot AI. Kimi K3 is the largest open-weight AI model ever built, its full weights free for the world to download from July 27. Cheaper open-source AI models like Kimi K3 pose a serious threat to U.S. proprietary models. By offering 80-90% of the capability at a fraction of the cost or for free, they are squeezing the premium pricing strategies of domestic leaders like OpenAI and Anthropic.

Open-source AI models are a game-changer for developing nations like Pakistan, providing affordable, customizable technology without relying on expensive proprietary licenses or restrictive API models. Such models, like the ones offered by Chinese companies, empower governments and local developers to build "sovereign AI" tailored to regional languages, cultural contexts, and infrastructure limits, bypassing the need for massive data centers and reliance on foreign powers.

Top Global AI Talent. Marco Polo AI Talent Tracker

Companies, including US-based firms, are rapidly adopting AI cost-saving measures. For example, Airbnb relies on Alibaba’s Qwen model, startups like Lindy have transitioned from Anthropic to DeepSeek, and DoorDash has employed Moonshot AI for specific workflows. Overall, Chinese open-source options now account for over 40% of Hugging Face AI community and 80% of open-source developer usage globally.

Open-source AI models—which are roughly 8 to 10 times cheaper to run than proprietary ones—are rapidly closing the reasoning and contextual intelligence gap with frontier models like Anthropic's Claude. However, open source models shift the responsibility of infrastructure maintenance and security to the user.

The people of Chinese PRC origin account for 47% of the top 20% AI talent in the world based on undergraduate degree, according to a survey. Americans make up 18%, Europeans 12% and Indians 5% of the global AI researchers. In terms of the countries they serve, 57% of them work in the United States, 12% in China, 8% in the UK, 4% each in France and Germany and 3% in Canada as of 2022. While the US still has the lion's share of the top talent, its share has declined from 65% in 2019 to 57% in 2022. Marco Polo talent tracker lists Pakistan among a dozen countries for top AI talent in Asia.

More than half (15 out 25) of the institutions (companies and universities) where the top AI researchers work are located in the United States, while 6 are in China. The remaining four are in the UK, Switzerland, Singapore and Canada, according to Marco Polo Global AI Talent Tracker.

Sunday, January 26, 2025

Chinese Lab's AI LLM Performance Shocks Silicon Valley

A Chinese Lab has sparked panic in Silicon Valley with the release of its first AI model that can outperform America's best despite being built more cheaply and with less-powerful chips, according to the US media reports. The lab called DeepSeek has recently unveiled a free, open-source large-language model (LLM) that it says took only two months and $5.5 million million to build, using reduced-capability chips from Nvidia called H800s. By comparison, the US-based OpenAI's closed LLM model cost $100 million to develop and train using the most advanced H100 chips from Nvidia. Open-source and free DeepSeek models can significantly help developing nations like Pakistan by providing affordable access to the latest AI technology, allowing them to develop solutions tailored to their specific needs without high costs.

DeepSeek, a small startup lab in China, has accomplished this feat despite the US technology export controls to slow down China's AI efforts. Former Google CEO Eric Schmidt is now acknowledging that China has narrowed or closed the AI technology gap with the United States.

In 2022 America banned the export of advanced chips to China, according to Economist magazine. Nvidia, a leading chipmaker, has had to design special downgrades to its products for the Chinese market. America has also sought to prevent China from developing the capacity to manufacture top-of-the-line chips at home, by banning exports of the necessary equipment and threatening penalties for non-American firms that might help, too.

The slower H800 chip was created by Nvidia to comply with export regulations that prevent the chipmaker from selling its high-end GPUs to China. Apparently, the limits imposed by Washington on Chinese engineers' access to the most advanced Nvidia chips forced them to develop a much more efficient model to achieve the same performance as their US counterparts. Other Chinese tech companies ranging from Alibaba and Huawei to TenCents are also working on their own multiple AI models, including LLMs.

DeepSeek has emerged from High-Flyer, a Chinese hedge fund started by 40-year-old Liang Wengfeng in 2015 to use AI to gain an edge in stocks-trading. Conducting fundamental research helped High-Flyer become one of the biggest quant funds in the country, according to The Economist magazine.