Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors.
Available today at the same price.
Ollama is now updated to run the fastest on Apple silicon, powered by MLX, Apple's machine learning framework.
This change unlocks much faster performance to accelerate demanding work on macOS:
- Personal assistants like OpenClaw
- Coding agents like Claude Code, OpenCode, or Codex
买了 Mac Mini 当服务器,没显示器怎么办?一招搞定
最近不少人因为 OpenClaw(龙虾🦞)入手了 Mac Mini,打算拿来跑模型或当开发服务器。但问题来了:专门给它配一台显示器,既占地方又浪费钱。其实 macOS 自带的"屏幕共享"功能就能完美解决这个问题——用你��有的 Mac 直接远程操控 Mac Mini,就像坐在它面前一样。
设置方法很简单,两步就行:
第一步,在 Mac Mini 上打开屏幕共享。进入"系统设置" → "通用" → "共享",把"屏幕共享"打开。如果 Mac Mini 还没连显示器做初始设置,可以先临时借一台显示器或电视,用 HDMI 接上完成这一步。
第二步,在你日常用的 Mac 上打开"屏幕共享"App(在"应用程序"里搜 Screen Sharing 就能找到),输入 Mac Mini 的 IP 地址或主机名,点连接,输入账号密码就行了。连上之后,Mac Mini 的整个桌面就出现在你面前,鼠标键盘都能正常操作。
几个实用技巧:连接时可以选"高性能"模式(需要 Apple 芯片 + macOS Sonoma 14 以上),画面更流畅。两台机器之间还能直接拖拽文件互传,���贴板也可以共享,复制粘贴无缝衔接。
这样你的 Mac Mini 就可以安安静静藏在角落跑任务,需要的时候随时从主力 Mac 上远程连过去操作,省掉了一台显示器的钱和桌面空间。
🚨 Anthropic dropped a FREE 33-page playbook revealing Claude's very own cheat code:
The 'Skills' folder.
Spend 30 minutes building it,
and you’ll never have to explain your process again.
Top-tier users don't just type commands, they build systems.
Playbook link in 🧵↓
You can now enable Claude to use your computer to complete tasks.
It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk.
Research preview in Claude Cowork and Claude Code, macOS only.
Here's my conversation with Jensen Huang, CEO of NVIDIA, the most valuable & one of the most influential companies in the history of human civilization. It is the engine powering the AI revolution.
This was a fascinating & inspiring conversation, in parts super-technical on engineering of every part of the AI stack, memory, power, supply chain (TSMC, ASML, etc), in parts about leadership & psychology, and in parts personal & philosophical about life, consciousness, mortality, and human nature.
It's here on X in full and is up everywhere else (see comment).
Timestamps:
0:00 - Introduction
0:33 - Extreme co-design and rack-scale engineering
3:18 - How Jensen runs NVIDIA
22:40 - AI scaling laws
37:40 - Biggest blockers to AI scaling laws
39:23 - Supply chain
41:18 - Memory
47:24 - Power
52:43 - Elon and Colossus
56:11 - Jensen's approach to engineering and leadership
1:01:37 - China
1:09:50 - TSMC and Taiwan
1:15:04 - NVIDIA's moat
1:20:41 - AI data centers in space
1:24:30 - Will NVIDIA be worth $10 trillion?
1:34:39 - Leadership under pressure
1:48:25 - Video games
1:55:16 - AGI timeline
1:57:29 - Future of programming
2:11:01 - Consciousness
2:17:22 - Mortality