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Understand the Chinese Frontier AI Models

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What to expect

Explore how Chinese frontier AI models are reshaping the open-weight ecosystem at this London evening of expert talks, panel debate and community networking.

Taking place on Tuesday 25 August 2026, from 6:00–9:00 PM, this event brings London’s AI community together at the AWS London Office to examine leadership in the open-weight era. Hosted by ShallWe Tech in partnership with AWS, the programme will look at models including DeepSeek, Z.ai and Kimi,and what their rise means for the people building, funding and deploying AI products.

Rather than offering a broad introduction to artificial intelligence, the evening focuses specifically on frontier open-weight models emerging from China. Expect informed perspectives on how these systems are changing the field, followed by a candid panel discussion where their wider technical and commercial significance can be explored.

Speakers and format

The announced speakers are:

  • Xiaowei Zhu, International Business Development Leader at AWS
  • Shaun Smith, working on Open Source Agents at Hugging Face

The agenda combines concise presentations, discussion and plenty of time for direct conversations:

  • 5:45–6:00 PM: Check-in
  • 6:00–6:10 PM: Opening
  • 6:10–6:40 PM: Introduction to Chinese AI models
  • 6:40–7:25 PM: Panel discussion
  • 7:25–8:30 PM: Networking

Who should attend?

This event is designed for AI builders, founders, investors and specialists who want to understand the wider open-weight wave and its implications for how AI products and companies are built. It should be particularly relevant if you are already tracking Chinese model providers, evaluating model choices, working with open-source AI or looking for a sharper view of where frontier development is heading.

The combination of talks and an open panel makes the session useful for attendees seeking expert context, while the extended networking period offers a chance to meet people working close to the frontier across technology, entrepreneurship and investment.

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