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view articleI've been using the built-in 10 Gigabit Ethernet on my Mac Studio for a few years. It works fine: I can edit 4K video straight off my NAS over the network, and run backups at around 1 GB/sec. But... I want more. I upgraded my rack and my NAS to 25 GbE a couple years ago, and wanted to upgrade my main workstation, too.
The AFC believes that the proposed FFE cannot realistically achieve the necessary broad consensus and unity required to move forward.
We don't believe in model routing anymore. For most use cases, sticking to a single battle-tested model is the best thing you can do.
Abstract page for arXiv paper 2607.28545: ORCA-bench: How Ready Are Language Model Agents for Oncall?
In a previous post, I was sceptical about using Apache DataFusion for graph analytics. However, after some thought and experimentation, I changed my mind. I have reconsidered my approach and now have a working implementation of basic graph algorithms, such as WCC, PageRank and MSSP. For example, I can identify weakly connected components in a graph with two billion edges using just 10 GB of RAM and two cores. This is one of the most widely used graph algorithms and lies behind most entity resolution. The pure CSR of this graph requires over 15 GB of raw memory (or 30 GB if it is treated as undirected, as WCC requires). The hard limit was 10 GB of RAM when using systemd-run -p MemoryMax=10G, and the process was successful. Not Vibe-coded.
Every ssh-askpass in the Gentoo tree pulls in X11 or a full KDE stack, so I wrote my own with Zig 0.16 and GTK4, with hand-written bindings that keep X out of the build.
We now have a new way for you to help us write the monthly updates :)
I've been taking extremely wide photos by pointing an industrial linear camera out the window of a moving train and stitching together th...
An AI agent used a stolen Tailscale auth key at Hugging Face. Workload identity federation, flow logs, and safer defaults could have reduced the risk.
We expose Big Food’s 239 lawsuits against life-saving policies
Miso built one of Korea's largest home services marketplaces, completing millions of services with over 130,000 service professionals. We're now building Miso Motion: a new company supplying real-world robotics data to frontier AI labs developing the next generation of physical AI. We're already working with leading AI companies and are building our U.S. presence from San Francisco. We're looking for our first full-time hire in the Bay Area. This isn't a traditional operations role. You'll work directly with our founder to help build the U.S. business from the ground up, developing partnerships, meeting AI founders, recruiting, solving operational problems, and helping shape the company. If you enjoy creating something from nothing, you
Multiplayer agent harness for work. Contribute to yc-software/qm development by creating an account on GitHub.
A 2-deck mixer, sample pads, sequencer— all from any Unix terminal. - l00sed/termixer
Background: The Go Collections working group was formed in late 2025 with the purpose of bringing common collection data structures to the standard library, guided by the familiar Go principles of pragmatism and simplicity. Alphabeticall...
Run the full 2.78-trillion-parameter Kimi K3 model beyond available RAM by streaming activated weights directly from NVMe. A dependency-free, embeddable C inference engine. - sqliteai/waste
Analysis of DeepSeek's DeepSeek V4 Flash 0731 (Reasoning, Max Effort) and comparison to other AI models across key metrics including quality, price, performance (tokens per second & time to first token), context window & more.