Open-Weight Models with Chang She @oreilly
Open-Weight Models with Chang She  @oreilly
Uploaded June 2026 | Updated September 2026, 2 weeks ago
Open-weight models may not match the latest state-of-the-art models out of the gate. But that doesn’t mean they can’t be useful—or even, with a little more work on your part, get you equivalent results. Here’s LanceDB cofounder and CEO Chang She on what’s possible: “Open-weight models, one, are cheaper, and they're much faster. So if you have a coding agent task, you can do a one-shot with SOTA models, or you can do multiple rounds and iterations on an open-weight model, which gets you the same quality, still lower total costs and tokens, and you finish around the same time, or you actually might finish faster.” It’s an area to pay attention to. #shorts #genai #ai #aiagents

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Open-Weight Models with Chang She

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