Jack Miao

Developer & UI/UX Designer

[Grok Imagine @imagine]

Your entire creative workflow just collapsed into one infinite canvas.

In @imagine Agent Mode, you can brainstorm, write, generate and edit images, then turn them into videos without leaving the page.

Try it at https://t.co/UF5IvltrQc, on desktop.

[GitLawb @gitlawb]

new version of OpenClaude is up! v0.1.5 is released.

[Uniswap @Uniswap]

Agents execute on Uniswap

We've released seven new Skills giving structured access to core Uniswap protocol actions

Your starting point for agentic workflows onchain

[Google @Google]

Gemini 3.1 Pro be like

[Claude @claudeai]

Claude Desktop is now generally available.

New on Mac: Capture screenshots, click windows to share context, and press Caps Lock to talk to Claude aloud.

[SpaceX @SpaceX]

Starship reenters Earth’s atmosphere on Flight 11. Data gathered from this flight will inform future Starship missions that will return to the launch site for catch and reuse

[Not Jerome Powell @alifarhat79]

Here we go again with the tariff bs

[Claude @claudeai]

Today we’re introducing Claude Code Plugins in public beta.

Plugins allow you to install and share curated collections of slash commands, agents, MCP servers, and hooks directly within Claude Code.

[Andrew Ng @AndrewYNg]

Announcing my new course: Agentic AI!

Building AI agents is one of the most in-demand skills in the job market. This course, available now at https://t.co/zGHUh1loPO, teaches you how.

You'll learn to implement four key agentic design patterns:
- Reflection, in which an agent examines its own output and figures out how to improve it
- Tool use, in which an LLM-driven application decides which functions to call to carry out web search, access calendars, send email, write code, etc.
- Planning, where you'll use an LLM to decide how to break down a task into sub-tasks for execution, and
- Multi-agent collaboration, in which you build multiple specialized agents — much like how a company might hire multiple employees — to perform a complex task

You'll also learn to take a complex application and systematically decompose it into a sequence of tasks to implement using these design patterns.

But here's what I think is the most important part of this course: Having worked with many teams on AI agents, I've found that the single biggest predictor of whether someone executes well is their ability to drive a disciplined process for evals and error analysis. In this course, you'll learn how to do this, so you can efficiently home in on which components to improve in a complex agentic workflow. Instead of guessing what to work on, you'll let evals data guide you. This will put you significantly ahead of the game compared to the vast majority of teams building agents.

Together, we'll build a deep research agent that searches, synthesizes, and reports, using all of these agentic design patterns and best practices.

This self-paced course is taught in a vendor neutral way, using raw Python - without hiding details in a framework. You'll see how each step works, and learn the core concepts that you can then implement using any popular agentic AI framework, or using no framework. The only prerequisite is familiarity with Python, though knowing a bit about LLMs helps.

Come join me, and let's build some agentic AI systems!

Sign up to get started: https://t.co/FX35dloqw4

[Ahmad @TheAhmadOsman]

China saved opensource LLMs

between July 16th and today, these are the major releases:

> DeepSeek V3.2
> GLM-4.6 (335B-A32B)
> Qwen3-VL-30B-A3B (Instruct & Thinking)
> Qwen3-VL-235B-A22B (Instruct & Thinking)
> Qwen3-Next 80B-A3B (Instruct & Thinking)
> GLM-4.5V (VLM, 106B-A12B)
> DeepSeek V3.1
> Doubao 1.6-Vision (multimodal, tool-calling)
> Doubao Translation 1.5 (ByteDance, 28 Languages)
> ERNIE X1.1 (Baidu, Reasoning)
> Hunyuan-MT-7B & Chimera-7B (Tencent Translation Specialists)
> MiniCPM-V 4.5 (8B), Tiny but GPT-4o-level VLM
> InternVL 3.5 (MASSIVE Multimodal Family of Models, 1B to 241B Sizes)
> Step-3 (VLM, 321B/38B)
> SenseNova V6.5 (SenseTime, Multimodal)
> GLM-4.5 Air (Base & Instruct, 106B-A12B)
> GLM-4.5 (Base & Instruct, 335B-A32B)
> Qwen 3-Coder-30B-A3B (Instruct & Thinking)
> Qwen3-Coder-480B-A35B (Instruct & Thinking)
> Qwen3-30B-A3B-2507 (Instruct & Thinking)
> Qwen3-235B-A22B-2507 (Instruct & Thinking)
> Kimi K2 (1T-A32B)

US & EU need to do better

[ℏεsam @Hesamation]

Google is releasing a 5-Day AI Agents course on Kaggle. Their last course had over 420,000 learners.

This one covers:

> Agents and their architectures
> Tools & MCP integration
> Context Engineering
> Evaluating the quality of agents
> Prototype to Production

[Andrew Ng @AndrewYNg]

Everyone should learn to code with AI! At AI Fund, everyone - not just engineers - can vibe code or use AI assistance to code. This has been great for our creativity and productivity. I hope more teams will empower everyone to build with AI. Please watch the video for details.

[Teslaconomics @Teslaconomics]

Holy fuck, Super Heavy has been caught for the second time, go SpaceX!

[Jack Miao @JackyangMiao]

@RockstarGames Wow

[Jack Miao @JackyangMiao]

@PopCulture2000s yep

[Jack Miao @JackyangMiao]

@LadyJustice4512 staged！

[Michael Saylor @saylor]

Over a long enough timeline, everything is going to zero vs. #Bitcoin.

[vitalik.eth @VitalikButerin]

And we finalized!

Happy merge all. This is a big moment for the Ethereum ecosystem. Everyone who helped make the merge happen should feel very proud today.

[區塊先生 🐡 ⚠️ (rock #58) @mrblock]

熊市三餐

教你一包泡麵如何吃三餐

730包，大概可以撐兩年。。

留言告訴我你的熊市餐點👇🏻