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![A screenshot of a video conference call displaying a grid of nine participant tiles, with most showing individuals and their names, and one tile indicating '5 others'. The participants are mostly men, appearing in various indoor settings.. Text: Marcus Leiwe Ho Ming Li Eric Chan Andrew Massey Ivan Ko Andy Green Ambrose [unreadable] 筠 T 5 others Alexander Payne](https://images.aitinkerers.org/cdn-cgi/image/width=700,fit=scale-down,format=auto,quality=68/blog_images/1756820317009-jpeg-NWt8.jpg)
The group held an interactive online meetup focused on practical AI command-line tools for code generation, offering a technical deep dive and exchange among builders and engineers.
![A screenshot of a video conference call, featuring a presentation slide on the left side and a grid of nine participant windows on the right. The slide displays text and mathematical equations related to tabular data, while some participant windows show live video feeds and others display initials or profile pictures.. Text: Why tabular data are uniquely hard (II)
Missingness/outliers: mask M ∈ {0,1}^n×p, observed iff M_ij = 1,
X̃ = X ⊙ M + mask ⋅ (1 - M).
Dataset shift across tasks: tables D^(t) ~ P_t; need generalization across t.
Bias-variance view:
E[(f̂(x) - y)²] = (E[f̂(x)] - f*(x))² + Var[f̂(x)] + σ².
4/23
Yuhan Long
Marcus Leiwe
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MoonlitDreams
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Kam-ting Tsoi
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William Gazeley
Timothy Chau](https://images.aitinkerers.org/cdn-cgi/image/width=700,fit=scale-down,format=auto,quality=68/blog_images/screenshot-2025-08-26-at-19-09-14-meet-sfc-3otY.png)
The AI Paper Club discussed foundation models for tabular data, focusing on ICML 2025 papers addressing in-context learning and model robustness.
AI Tinkerers Hong Kong hosted a meetup featuring Baidu PaddlePaddle. Technical practitioners explored foundation models and LLMs, with demos and networking opportunities.
![A group of about twelve adults, appearing to be friends or colleagues, are posing for a photo on an outdoor patio at night, with a glowing restaurant sign on a dark wall behind them and city lights in the distant background.. Text: THE [unreadable symbol] 1 Harbourview Grill [unreadable] 2128](https://images.aitinkerers.org/cdn-cgi/image/width=700,fit=scale-down,format=auto,quality=68/blog_images/1755004581420-jpeg-xi3C.jpg)
AI Tinkerers Hong Kong hosted a relaxed, in-person networking night for builders and practitioners working with foundation models to connect and share projects.
The AI Tinkerers Hong Kong online meetup featured builders sharing favorite, high-impact, lesser-known AI GitHub projects and implementation stories.
AI Tinkerers Hong Kong met with Alibaba Cloud for a technical meetup. Attendees learned about AI offerings and showcased work.
AI Tinkerers Hong Kong hosted a casual in-person networking night for technical practitioners to share ideas and form collaborations around LLMs and generative AI.
The online meetup focused on agentic automation, providing practical integration of LLMs using tools like n8n and Zapier for technical practitioners.
AI Tinkerers Hong Kong met at Cyberport, exploring their AI ecosystem and supercomputing services. The event fostered community connections and showcased AI/digital tech demos.
![A group of approximately fifteen people, appearing to be adults, are posing for a photo in a dimly lit indoor setting, likely a restaurant or bar. They are arranged with some standing and others crouching in the front, amidst decorative lighting, mirrors, and seating.. Text: Coming S[unreadable], [unreadable Chinese text]](https://images.aitinkerers.org/cdn-cgi/image/width=700,fit=scale-down,format=auto,quality=68/blog_images/whatsapp-image-2025-06-17-at-22-07-46-8c419f2-4Cds.png)
Technical builders and AI practitioners gathered for a relaxed networking night focused on sharing project insights and sparking new collaborations.
Best AI meetup in Hong Kong for builders
AI Tinkerers Hong Kong is built for engineers, founders, researchers, product builders, and developers working on AI agents, multimodal and voice interfaces, RAG and knowledge systems, AI coding tools, workflow automation, evals, observability, and production AI infrastructure. Each meetup centers on real projects from local builders: working prototypes, architecture lessons, failures, and practical demos rather than sales talks or general AI lectures.
The Hong Kong chapter is part of a 268-city global network with 140,000+ members, making AI Tinkerers the world's largest hands-on AI builder community. Members include AI engineers, ML researchers, developers, founders, and builders from the local Hong Kong chapter.
Be ambitious. Start with an idea. Bring a prototype. Work through the hard parts with builders in your city and around the world.
A typical AI Tinkerers Hong Kong meetup runs about three hours with live demos from local builders, technical Q&A, and networking. Demos are expected to show real systems or code, not sales decks. Check the upcoming events listed above for the next scheduled meetup. Most AI Tinkerers chapters run monthly, but frequency varies by city. Subscribe to the Hong Kong chapter to get notified.
AI Tinkerers Hong Kong is the best AI meetup in Hong Kong for hands-on builders who want live code demos, technical discussion, and no-pitch networking. The Hong Kong chapter hosts in-person events for engineers, founders, researchers, and product builders working on AI agents, multimodal and voice interfaces, RAG and knowledge systems, AI coding tools, workflow automation, evals, observability, and production AI infrastructure. Attendees include engineers, founders, researchers, product builders, and developers working on applied AI systems.
AI Tinkerers Hong Kong is screened, demo-first, and no-pitch. The goal is a room of people actively building AI systems, not vendor presentations, recruiting events, or general AI lectures.
Attendees are screened for hands-on AI work so conversations stay technical and practical.
Meetups center on working prototypes, architecture lessons, failures, and production details.
The Hong Kong chapter is part of a 268-city network with 140,000+ members worldwide.
AI: The computational system driving human-level problem-solving (e.g., GPT-4, AlphaGo), actively transforming sectors like healthcare and finance with predictive analytics. Recent talks: Founder (May 7, 2026), Long (May 7, 2026)
Google’s multimodal model family built for native real-time reasoning across text, vision, and audio. Recent talks: From Meow to Mastery: Building MathCat’s Adaptive Learning Platform (August 31, 2026), EvoFit: Building a Cross-Cultural AI Fitness Coach That Bridges Eastern Wellness and Western Exercise Science (April 29, 2026)
Large Language Models (LLMs) are deep learning models, built on the Transformer architecture, that process and generate human-quality text and code at scale. Recent talks: Building Graph Navigation Tool for the Visually Impaired (June 24, 2026), Founder (May 7, 2026)
ML is the AI subset where algorithms automatically learn patterns from data to make predictions or decisions, replacing explicit, hard-coded instructions. Recent talks: Founder (May 7, 2026), Long (May 7, 2026)
NVDA is a free, open-source screen reader that provides blind and vision-impaired users with full access to the Windows operating system. Recent talks: Exploration of AI in Vision Accessibility (June 24, 2026), Building Graph Navigation Tool for the Visually Impaired (June 24, 2026)
Python: The high-level, general-purpose language built for readability, powering everything from web backends to advanced machine learning models. Recent talks: Learn Anything by Doing: An Agent That Teaches, a Grader That Can't Flatter You (August 31, 2026), Bugtrace AI: Building the First Deterministic Agentic Framework for Reliable Web Pentesting (April 29, 2026)
Apple's high-level, objective-C based audio engine for constructing complex signal processing chains through a dynamic graph of audio nodes. Recent talks: Hearing the Room Across Language: Building Catch’s Realtime iPhone Interpreter (June 24, 2026)
AVAudioSession is Apple's framework-level gateway for configuring how your app's audio interacts with the device's hardware and other active apps. Recent talks: Hearing the Room Across Language: Building Catch’s Realtime iPhone Interpreter (June 24, 2026)
Apple’s primary framework for high-performance audio and video capture, editing, and playback across all hardware platforms. Recent talks: Hearing the Room Across Language: Building Catch’s Realtime iPhone Interpreter (June 24, 2026)
Azure Speech: Microsoft's unified speech service for accurate, customizable, and secure voice experiences. Recent talks: Canto101: Learn Cantonese with Karaoke & Interactive Role-Play. (July 29, 2026)
"Great to see practical computer vision applications being developed by people with backgrounds in the humanities."
"This is one of the best AI communities ever in HK. Full support! Just one thing, any archive or e-library that lists up all the demos with key highlight description would be helpful for records and references?"
"Love the atmosphere of so many people building their projects in the same room, like running a marathon together. Definitely keep the crowd density"
"None - except a great appreciation as always! Events are getting more solid and well coordinated and most importantly can fee the growing sense of community."
"I love demo but also the latest advanced cases will also inspire people to ambition high!"
"Great talk, really great to see what you've been building and how things can be run locally. Loved your enthusiasm for the topic; it was really engaging, and I learned a lot. Thank you very much!"
"Great session! Loved your enthusiasm for the topic. It was fun, engaging, and I also learned a lot. - Great to see a model running locally - Love that you brought your own hardware Thanks again!"
"Great talk, very engaging. Learned a lot of some potential new techniques and great to see how to use the Baidu AI studio. Quite inspiring. Thanks again!"
"would've loved more time for Q&A with some of the presenters. i find audience questions really helpful too."
"Very clear and well structured talk. Very engaging and provoked some great discussions"
Last updated: October 2026
