I spent 14 days in China, and it was my favorite trip in a while.
It changed so much since I visited 11 years ago that it felt like a new country. Here is what I liked about China, and what I didn’t.
1. EV adoption is huge. 100% of scooters are electric. You can walk on busy streets and it’s surprisingly quiet! It made me enjoy cities again.
2. It’s so convenient. All restaurants let you scan a QR code to order and pay. You can order a taxi and drive 100 km for $30. The malls are so big you can spend an entire day there.
3. Value for money is top notch. Hotels are new, food is delicious, and yet everything is super affordable. Chinese people are really committed to doing their best, and you can feel this everywhere you go. It’s very humbling.
4. Chinese people are super friendly! We made friends everywhere we went: restaurants, hotels, taxis. I memorized Chinese sentences like 是免費的嗎? (“Is it free?”) and I would repeat them to outdoor vendors for fun. They would laugh and come slap me on the shoulder! I even got a free ice cream doing this ^^
5. Internet is a gamble. The Great Firewall blocks a lot of websites. You need a VPN and eSIM to access Western websites. And it’s not guaranteed to work, so it’s tricky to get deep work done. I used Revolut eSIMs. It’s expensive, but most websites worked.
When I called my parents during the trip, they couldn’t believe how modern China is. For most people in the West, China is still a third-world country.
There are 17 cities with 10M+ inhabitants. Most of them were built in the last 30 years.
When I was in Hangzhou 杭州, I felt like I was in an ant house. Very crowded, yet super modern, quiet, and organized.
My wife and I loved the trip so much. We’ll come back next year and get lost in China because there are so many wonderful places to go.
The phrase “30 days. btw grok 4.6 is absurdly” makes @BrianDEvans's point about dots unusually concrete. It also gives coding a sharper test around connecting.
nobody is connecting the dots on what just happened on X.
grok 4.6. grok bot. cursor integration. supergrok heavy. all in one month. frontier model, agent platform, coding tool, premium tier. 30 days.
btw grok 4.6 is absurdly fast. like noticeably faster than anything else i've used. it doesn't endlessly ponder. it just answers.
i've been running grok bot every day. it logs into my actual apps and does work. not a chatbot. a coworker.
X right now: social, AI, agents, search, code, voice, images, video. payments next.
everyone laughed at the everything app thing 2 years ago. it's shipping weekly now and most people haven't noticed.
grok was mid 12 months ago. now it's the fastest reasoning model out. came from behind, never stopped shipping.
who else is doing this across this many surfaces at this speed. serious question.
A grounded way to think about coding agents. The real test is whether it reduces review and debugging work, not just first-draft time. The most useful follow-up is the part that did not work as expected.
Broooooo this is so freaking good 🤯
This open-source skill makes AI coding agents generate better-looking UIs.
Taste Skill works with Claude Code, Codex, Cursor, Gemini CLI, Lovable, v0 and more. Stops the generic frontend slop.
Perfect for developers, vibe-coders & designers who actually want the AI output to look intentional.
link; https://t.co/WzkNyuUbwX
systems tinkerer, and the ai generates a hundred plausible approaches in seconds, which is amazing right up until you remember that picking the correct one still requires understanding the system
A Google Cloud engineer just showed how to build a full app with Claude from scratch
he spent 26 minutes live on stage doing what most teams take weeks to do
worth more than any $500 vibe-coding course
here's what he covers:
> zero to deployed app in a single session
> handling five engineering roles alone with Claude
> the exact workflow Google uses internally
> no team, no setup, just Claude and a goal
the people who figure out what Claude can actually do are building things everyone else thinks requires a team
that's exactly why I wrote a step by step guide on how to build your first AI agent
the guide is in the article below
Releasing the model weights and technical report of Kimi K3.
Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window.
New model architecture: 2.5x the intelligence per unit of compute, not just more params.
Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale.
Model weights: https://t.co/7m7eEg6Y0B
Tech report: https://t.co/yeu6cjpMCT
Tech blog: https://t.co/YTfiMSNM1f