开启时会模糊预览图，关闭后正常显示
Welcome @T_Zahil to the @HackerResidency! 😍 I love how he’s very well prepared for the event and has Uneed everywhere right on the first day 😂
Built 8 startups in 12 months • Sold 3/8 startups • Building https://t.co/1tAr7flVT2, https://t.co/pL2Vv5UTCK, https://t.co/sYr4JzzOtJ, https://t.co/HvvzdvWg5H, https://t.co/gtanzcV2Gs and a secret startup 🤫
Welcome @T_Zahil to the @HackerResidency! 😍 I love how he’s very well prepared for the event and has Uneed everywhere right on the first day 😂
even on his laptop, Uneed to the moon 🚀🌕
RT @paulabartabajo_: Hands-on examples on fine-tuning Small Language Models Enjoy ↓ https://t.co/uGPiyY9EI2
FOLLOWS YOU. Artificial Intelligence, Cognitive Architectures, Computation. The goal is integrity, not conformity. https://t.co/rFUNzdYXuK
The best way to choose an AI model isn’t by comparing benchmarks — it’s by asking who owns the data your task depends on. If your task is about X, Grok will likely win. If it’s about YouTube, Gemini will. The data decides the model.
Growth Coach｜Helping creators build their personal brand on X 增长教练｜帮助创作者在X上打造个人品牌 公众号：PandaTalk8 X 增长群群主
How to choose the right large model for your task Here’s my way of thinking: To determine which large model suits your task, ask yourself which company has easier access to the kind of data your task requires. The gap between mainstream models is no longer that significant — what truly matters is who owns the most relevant data. For example, if my task involves X-related content, then Grok would naturally perform better, because it has easier access to data in that domain for model training. Similarly, if my task revolves around YouTube, then Gemini would likely outperform others.
Growth Coach｜Helping creators build their personal brand on X 增长教练｜帮助创作者在X上打造个人品牌 公众号：PandaTalk8 X 增长群群主
“even a God King can bleed” Bankim is Indian Leonidas.
We're in a race. It's not USA vs China but humans and AGIs vs ape power centralization. @deepseek_ai stan #1, 2023–Deep Time «C’est la guerre.» ®1
