@Zackary_Chapplei
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So @Cloudflare computers are actually pretty capable. Interesting seeing what @swalker326. @dok2001 @michellechen @ritakozlov we have something interesting cooking gotta demo to y'all sometime very soon.
Zack Chapple retweeted
V2 support appeared in a subsequent PR!
Thanks everyone! And thank you to vercel team!
Module Federation spotted in turbopack!
But it implements v1 🫠 hoping to get v2 support like we have in @rspack_dev otherwise this will be hellish for end users.
github.com/vercel/next.js/pu…
Really happy to see this either way.
Please help us thumb up this. I know countless companies asking for it.
Module Federation spotted in turbopack!
But it implements v1 🫠 hoping to get v2 support like we have in @rspack_dev otherwise this will be hellish for end users.
github.com/vercel/next.js/pu…
Really happy to see this either way.
Zack Chapple retweeted
Been wanting this for 15 years.
📦 Chrome 154 - Responsive iframe resizing 🤯
Letting an <iframe> resize based on the size of its embedded document
Haven't all widget/extension authors dreamed of this for years? 😆
Instead of using postMessage({resize})
bram.us/2026/09/23/responsiv…
I can’t emphasize how important it is to surround yourself with people who can give you high quality advice like this.
You need friends to stop you from doing something stupid ideally BEFORE you do it.
Amazing advice @threepointone
sunilpai.dev/posts/the-senio…
Zack Chapple retweeted
9x size reduction from Qwen 3.8 27B while maintaining 98% of the performance
The future of Local AI is so good you won’t believe it
Today, we’re announcing Ternary Bonsai 2 27B.
Based on Qwen3.8 27B, Bonsai 2 27B is 9x smaller than its full-precision counterpart while retaining 98.2% of its aggregate benchmark performance.
Two months after the first Bonsai 27B release, the biggest change is quality. The footprint remains 5.9 GB, but the gap to full precision has narrowed materially, with particularly strong gains in agentic coding, multimodal reasoning, and long-horizon tool use.
Ternary Bonsai 2 27B is available today under Apache 2.0.
Got my kids set up already, check it out
America is banning AI in schools.
China is using AI to create geniuses.
Introducing Aristotle: The AI tutor that solves America’s broken education system. heyaristotle.com
Another example of rust taking over the world
We rewrote the vite dev server in rust.
By removing Node.js, we achieved 4x better memory usage and cold starts is 2x faster.
This has resulted in our sandboxes acquisition time to go from 14s to 3s (4.6x improvement).
When i say we, i mean @raphamorims
Zack Chapple retweeted
This looks sick
This is Knap. It's a new language I created that turns data into Markdown. The syntax should feel familiar and comes with wonderfully pleasant features to modify and format plain text.
Knap is open source. Over a million people already use Knap directly or indirectly because it started as the templating language I made for Obsidian Web Clipper. Now any tool can use it.
You can add Knap to your app or use it via CLI. Create a batch of Markdown files from JSON or CSV, or pipe Defuddle directly into Knap to generate Markdown from HTML/URLs.
The Knap site is color-coded to help beginners understand the relationship between variables (blue), filters (orange), and logic (green). I've tried to document it as comprehensively as I can.
Try the Knap Playground so you can see how fun the syntax is to use!
Knap is pronounced /knæp/ (with a hard k). It's named after knapping (with a silent k): the process of shaping stones to form arrowheads, scrapers, and other tools.
Enjoy!
1 t in 24 hrs is stratospheric
DeepSeek V4.1 Flash: 1T tokens in 24 hours on OpenRouter, and is on pace for the biggest 48 hours of any paid model launch at ~2.8T.
90% of those tokens were cache reads, priced by the market at ~$0.006/M, 5x cheaper than comparable models like GLM-5.3 Flash
Zack Chapple retweeted
TanStack Charts just got a little quicker! 🙂
For example, 10k cell heatmap time to paint (w/ the React adapter):
SVG: 164 → 38 ms
Canvas: 43 → 26 ms
*using my M5 Pro and taking the median over 30 runs
Available in the latest version!
If you use @EffectTS_ and Rstest you might find this handy github.com/Nsttt/effect-rste…