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哇咔咔咔！今天第一次做了手抓饭！铸铁塔吉锅一锅出！肥肥的羊排特别给力！超满足，吃了大半锅，睡前再玩会儿壶铃减减肥 https://t.co/jFSWMGFwCS
写了一个 Skill 调MCP 把DAN KOE这篇神文转成6分钟解读视频。 仔细读有些启发，融合了很多人和经典书中的想法，但原创性跟纳瓦尔比差些。 虽然纳瓦尔也集合了前人的智慧，但第一次读“杠杆”、“幸福”等概念的解读，耳目一新，不知道大家的感受如何。 https://t.co/rzWSh5iEUt
我现在写代码尽量用 Codex，其他任务用 Claude Code。 Codex CLI 虽然不好用，但是模型好，写代码稳，并且 Token 量大。 Claude Code 好用，模型写代码不如 Codex，但是通用任务执行的更好。 这里其实 OpenAI Codex 团队是要反思一下后续走向的，空费了这么好的模型，整天做些华而不实的更新。
Tiezhen WANG
https://t.co/hMoVbVsqf9 keeps delivering! Buy their stocks to support them on the HK market :) Their wonderful team just dropped GLM-image, a cutting edge image generation model with hybrid autoregressive + diffusion decoder architecture: - The AR part is on top of GLM-4-9B-0414 with an extended vocabulary to incorporate visual tokens. - The diffusion latent decoder is a single stream DiT arch with 7B parameters The model was posted trained on RL with GRPO. Thanks to its architecture, the model can support image generation with dense text / knowledge. It also supports very powerful image editing. How much closer can we get to Nano Bananas? Try the model on @huggingface with the inference provider widget.
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