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PAID WEBINAR — €75 standard ticket. Book and pay only on AI Realist: https://airealist.org/workshops/open-weight-models/register/
This Meetup listing is for promotion and interest only. A free Meetup RSVP does not include admission.

Could your own AI setup be a practical alternative to an Anthropic or OpenAI subscription?
Join Maria Sukhareva for a practical two-hour AI Realist webinar on open-weight AI: what works, what runs where, and what it really costs.
Thursday 15 October 2026 · 19:00–21:00 CEST (Berlin time)
Live online · In English

WHAT WE'LL COVER
• The open-weight model landscape and the difference between open weights and open source.
• Quantization, distillation, context length and KV cache: trade-offs in quality, memory and speed.
• Comparing an open-weight setup with an Anthropic or OpenAI workflow on the same task.
• Coding harnesses such as OpenCode, Cline, Continue and Aider, including tools and permissions.
• Local hardware versus hosted compute: your current computer, Mac mini, DGX Spark or rented capacity.
• A worked example of an AI setup, followed by Q&A.
For developers, technically curious professionals, and people choosing AI tools for their teams. No installation is required to follow along.

INCLUDED
Two-hour live webinar, Q&A, and the recording and slides in your AI Realist workspace after the event.

TICKETS AND REGISTRATION
Standard ticket: €75.
Annual paid AI Realist subscribers and founding members attend free: sign in to your workspace and register.

Monthly subscribers receive 20% off.

Annual subscribers and founding members: https://airealist.org/login
Registration on AI Realist is required to attend.
A Meetup RSVP alone does not reserve your webinar place. Joining details will appear in your AI Realist workspace.

Full programme: https://airealist.org/workshops/open-weight-models/
Read the original post: https://msukhareva.substack.com/p/on-the-importance-of-open-weighthttps://msukhareva.substack.com/p/on-the-importance-of-open-weight

Related topics

AI and Society
Artificial Intelligence
Deep Learning
English
Technology

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