https://privacy.anthropic.com/en/articles/10023555-how-do-yo...
> We do not actively set out to collect personal data to train our models
The 'snarky tech guy' tone of the article is a bit like nails on a chalkboard.
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From our side we designed these models to be strong for their size out of the box, and with the goal you'll all finetune it for your use case. With the small size it'll fit on a wide range of hardware and cost much less to finetune. You can try finetuning them yourself in a free colab in under 5 minutes
For picking a Gemma size this is a video I recorded for the 1b to 27b sizes earlier this year, 270m being the newest addition
https://www.youtube.com/watch?v=qcjrduz_YS8
Hacker News Disclaimer I really like working at Google so with that; All my opinions here are my own, I'm a researcher so I'll largely focus on technical questions, and I'll share what I can.
this app got gui.
Also is there a link to the source?
Wouldn't want to forget Meta which also has consumer product DNA. They literally championed the act of making the consumer the product.
[0] https://techcrunch.com/2025/07/14/mark-zuckerberg-says-meta-...