Kimi is a model developed outside of US and has surpass even Fable, gain immensively amount of traction. If you had a Mac with 64GB RAM, you can try running Kimi K3 (2.8T parameters) on one Apple Silicon Mac

There are just so many Postgres setting, and we do not want to wait till the shit hit the fan to debug them.

Giving an external team access to your PostgreSQL database is one of those decisions that deserves a little thought. The easiest option is to hand over a superuser account, but it’s rarely the right one. A better approach is to create a dedicated role with only the privileges they actually need, and it takes just a few minutes to set up.

Domenic Denicola is the author behind jsdom. He shared with us how he setup his agentic coding. The biggest take a way is usage of tailnet and a linux vm to run thing and make accessible across devices with tailnet.

GGUF is the file format that llama.cpp uses for language models. The safetensors are a bunch of json files. GGUF is a single file. What makes it work?

Largest Contentful Paint gives us a useful high-level signal for the point at which the largest thing in the viewport was rendered. It is much less good at telling us when our things looked ready. Enter the Container Timing API: an experimental performance API that allows us to annotate a whole region of the DOM and receive entries as new, contentful parts of it are painted.

Managing sessions for hundreds of millions of users is a tricky problem because every backend request needs to know which logged-in user made it. At Canva’s scale, this means answering this question hundreds of thousands of times every second. We keep session revocations directly in memory for the best possible performance and reliability, but as we grew, loading this cache during deploys became a bottleneck.

Optimizing WAL Mode, Concurrency, and VFS Layers for Low-Latency App Servers”

At some point you’ve probably had to unplug and plug back in an electronic device to get it to work again! System freezes and hangs are not only frustrating to an end user, but they can also be quite challenging to debug and fix. or some classes of devices, such as a satellite1, a manual reset is not even possible, making a wedged device a multi-million dollar “brick”.

When we turn on the coffee machine, when an oven run, a bridge report its temperature, embedded system is everywhere around us, in our daily life.

28.9 million parameter language model that generates text on an ESP32-S3, a microcontroller that costs about $8. It runs on the chip itself, with nothing sent to a server, and it writes each word to a small screen wired to the chip at roughly 9 tokens per second.