I have a little pet theory that software drives people insane.
Not in the "wash your hands every thirty minutes like Howard Hughes" kind of way, but more ...
By now it’s no surprise that Rust is of strategic importance to Microsoft. From bold mission statements when Azure CTO Mark Russinovich outlined our future strategy for native code, to millions of dollars invested by Microsoft into supporting the Rust Project,…
Use React and WebMCP to expose tools that AI agents discover and call right inside the browser.
In this beginner tutorial, you'll add WebMCP to a Vite-powered React greeting app, register a typed tool, and let ChatGPT Desktop call it. You'll also see how the …
A recent resignation tweet from an Anthropic researcher has everyone talking about the AI apocalypse again. Among other things, he said: The people building AI…
Around three weeks ago, I made the switch from OpenClaw. The idea of a self-learning AI agent (as Nous Research advertises it) hooked me. It also matches how I think about AI agents: I want them to grow with me. I installed the Hermes Agent and gave it a try.
An RTL performance erratum in the Apple M3 Neural Engine throttles DRAM weight streaming throughput down to 17–19 GB/s from the nominal 45–60 GB/s, whenever the total weight size is an integer multiple of 1 MiB, which currently affects 7 of ANEMLL’s 15 models.…
Open Hacker News on any iPhone keynote day and, without fail, you'll see the same comments. Today with the launch of iPhone Duo, things were no different.
"It's too big"
"When are they bringing back the iPhone mini?"
"It's too expensive"
I can't really hel…
Author: Alexey Makhotkin squadette@gmail.com, (~2300 words)
This is the first part of a systematic discussion of primary keys in database design. As usual, we present the material in a way that deviates from the traditional approach.
This is basically a bonus …
Our Jarvis TTS adapter is now public on Hugging Face. Inside the work: a dataset studio for field recordings, selective cleanup, reproducible LoRA training, and the experiments that changed how we evaluate a voice.
I think many people still do not fully understand what modern large language models are.
A normal LLM communication is optimized so that you can understand it.
A case went from 5/5 to 2/5 with nothing changed. How I measured the noise floor of an LLM-judged eval, what it caught the week after, and where it still can't see.
LiteLLM proxy in front of the vLLM backends: virtual keys, health-check routing, a hardened systemd unit, and the nginx config that makes SSE streaming survive.
We’re all so excited about the newest capabilities of each released AI model that we’re forgetting the consequences of having access to such an amazing tool, and the possibility of being able to do so much so fast.
I know people who go to the gym and still hav…
A field report on misleading green checks, durable agent state, and keeping production behind a human gate. Claude merged the sixth and final phase PR, then went idle. The plan still had one job left: open an integration PR with…