Really interesting read, shows OpenAI following the expansion playbook of many of its elder Silicon Valley peers. Free Basics/Internet.org, anyone?! the-ken.com/story/openai-off…
→ View original post on X — @madhumita29, 2025-09-25 14:46 UTC
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Really interesting read, shows OpenAI following the expansion playbook of many of its elder Silicon Valley peers. Free Basics/Internet.org, anyone?! the-ken.com/story/openai-off…
→ View original post on X — @madhumita29, 2025-09-25 14:46 UTC

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"AI isn't replacing radiologists" good article Expectation: rapid progress in image recognition AI will delete radiology jobs (e.g. as famously predicted by Geoff Hinton now almost a decade ago). Reality: radiology is doing great and is growing. There are a lot of imo naive
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ChatGPT app on Apple watch, wen? @romainhuet Would be a killer app (voice mode)
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We don't have a model specialized in summarization (yet), but the general-purpose LFMs are already very good at it!
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All models are available today on @huggingface
! If you have a precise skill in mind for a task-specific model, please let me know in the comments!
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I'm happy it's released, it was such a cool post-training project Now I hope that app developers can take these models and build cool stuff with them, with less reliance on costly and slow cloud models. There's so much to do, life is too short to optimize ChatGPT prompts!

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For latency purposes on edge devices, we wanted it to be a non-thinking model. That was a big challenge, but we managed to squeeze a ton of performance from LFM2-1.2B and perform on par with much bigger models on our internal bench (see figure) but also BFCL v3 and v4.

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The tool use model is another cool one. It takes a traditional JSON description of functions as inputs (see the format) and outputs a list of Python functions It also supports 9 languages: English, Arabic, Chinese, French, German, Japanese, Korean, Portuguese, and Spanish.

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We also have a RAG model It's particularly good for processing long contexts and retrieving relevant information. It's very flexible and can adapt to various input styles.

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It comes in two sizes: 1.2B and 350M I'm a big fan of the 350M model that can be used on GPUs to do big data operations. It's an absolute banger that shows how powerful fine-tuning can be