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Meetup - Open Weight AI Models by Practitioners for Real Business Tasks (Kimi, GLM, DeepSeek, MiniMax, etc) + Timelocks for AI Cybersecurity
Workshops

Meetup - Open Weight AI Models by Practitioners for Real Business Tasks (Kimi, GLM, DeepSeek, MiniMax, etc) + Timelocks for AI Cybersecurity

Oct5
Monday, October 5, 202618:00 – 20:00
Singapore
lu.ma/oldmvewn
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About the event

Welcome back to our meetup in October. The date is right before the F1 weekend. (If this is your first time coming to the venue, please scroll down to the bottom to find the instructions for getting to the venue.) 06:00 PM Registration, networking 06:30 PM Talk starts If you want to have practical AI Models that are open-weight and free, this event is for you.

--- Other community news: 1. We are also planning to hold a social Pickleball event in Oct/Nov sponsored and open to previous attendees of previous community events. A separate invite and event page will be sent out later. 2. We may also do something cool for F1 weekend in Oct for previous attendees of at least 3 previous community events. --- Open-Weight AI Models are AI models whose core weight files are publicly released so you can download them, run them on your own computers, and modify them for your needs. --- Talk 1: Open Weight AI Models: What Works, What Breaks, and When to Bet on Them Cloud APIs have dominated the AI conversation, and for good reason. They're easy to start with. But open weight models have quietly crossed a capability threshold that changes the calculus for businesses that care about cost, data sovereignty, or simply not being locked into someone else's roadmap. This talk cuts through the hype with a practitioner's lens. We'll start with what actually works in production today: which model families deliver real results on real business tasks, what they handle well, and where they still fall short. Every claim is grounded in actual deployments, not benchmarks or blog posts. Then we'll get honest about the gotchas. Quantization tradeoffs that silently degrade quality. The gap between "it works in the demo" and "it works at 2am on a Saturday." The operational overhead that nobody puts in the pitch deck. These are lessons learned the hard way, and you should hear them before you commit. The centrepiece is a live model shootout: open weight models versus cloud APIs, head to head, on…

Found by Moments · Technology + Agentic AI + Databases

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