🤔 𝐎𝐩𝐞𝐧𝐀𝐈 𝐨𝟏 - 𝐢𝐬 𝐢𝐭 𝐦𝐨𝐫𝐞 𝐛𝐢𝐠𝐠𝐞𝐫 𝐨𝐫 𝐦𝐨𝐫𝐞 𝐟𝐢𝐧𝐞-𝐭𝐮𝐧𝐞𝐝? We're all excited about OpenAI's o1 model and many other such bigger models, but here's what keeps me up at night: Are we witnessing a genuinely larger, more advanced LLM, or is this the result of brilliant engineering and fine-tuning of existing architectures? 𝐓𝐡𝐞 𝐫𝐞𝐚𝐥 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧 𝐢𝐬: Can we, as users and developers, ever truly distinguish between a massive pre-trained model and an expertly fine-tuned one by ourselves? It's like trying to tell if a master chef created a new recipe or perfectly refined an existing one. The taste might be extraordinary either way. What do you think? 🧠
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