Chase📈d/acc🦇🔊

Anthropic’s new model, Capybara: “Compared to Claude Opus 4.6, Capybara achieves dramatically higher scores in software coding, academic reasoning, and cybersecurity.” According to Dario's previous interview, it might be a 10T-parameter model that cost $10 billion to train.

一个华人女生，2年前在墨尔本创业，做老年护理中心。 现在生意红火，还衍生出瑜伽、社群活动等业务，请来维州议员廖蝉娥做教练。 我跟她聊创业、数字游民、国内大学生失业、“街溜子”。 她说： “我在国内大学毕业，一样没工作，也是街溜子。 到了墨尔本才发现，这里很多苦活累活，反而藏着创业机会。 因为真的没啥人跟你竞争。”

This feels like cheating. Someone built a Claude Code skill that scans Reddit and X from the last 30 days on any topic you give it, then writes you copy-paste-ready prompts based on what the community has actually figured out not what was working six months ago. You type /last30days prompting techniques for ChatGPT for legal questions and it comes back with the top patterns real lawyers and power users are using right now, complete with a fully written prompt you can drop in and use immediately. No more Googling, no more digging through threads, no more prompts that worked last year but got patched out. It works for anything - Midjourney techniques, Suno music prompts, Cursor rules, trending rap songs, whatever you need to know what people are actually saying about right now. 100% Open Source. MIT License. Link in the comments.

Meet a game-changer in AI reasoning: Qwen3.5-35B-A3B. This model isn't just another text generator. It's been distilled from top-tier reasoning models to think step-by-step like the best. Perfect for complex problem-solving!

逐步迭代的效果开始显现了！ 目前用于判断市场模式的子系统在经过多轮迭代训练后，开始逐渐找到了更好的判断方式，对于市场究竟处于趋势行情还是震荡行情判断的越来越像那么回事了... 你可以看引文里之前的图片，肉眼可见的在逐步升级！ 如果这个模式判断系统没问题，那么遗传算法那边很快就可以 开始根据市场结构进行有选择性的进化了！ 我估计距离该系统跑出第一份回测报告不远了，一开始肯定不会太好看，但我关注的是整个系统架构是否可以稳定小额盈利。