I tested a narrow context-management question: after an incorrect claim has propagated through several conversation turns, is deleting the original error enough?
Cascadia distributes LLM inference across Intel laptops, desktops, and AI PCs. Shard a model across the machines you already have and serve it through an OpenAI-compatible API. No cloud or NVIDIA GPUs required.
The Genesis Open Models Initiative is a U.S. Department of Energy effort to build and release open-weight AI models designed for scientific research. It is hosted through Argonne National Laboratory and is part of the broader DOE Genesis Mission.
SpaceXAI launched Grok 4.5 on Wednesday at $2/$6 per million tokens, with Elon Musk calling it “Opus-class” but cheaper and faster than Anthropic’s models.
Anyone tried these two for coding or agentic tasks? How do they compare?
I know 27b is a dense one and very smart, but what is your experience and opinion?
Orange Pi closes the year by unveiling new details about the Orange Pi AI Station, a compact board-level edge computing platform built around the Ascend 310 series processor. The system targets high-density inference workloads with large memory options, NVMe storage support, and extensive I/O in a small footprint.
Yesterday I had a brilliant idea: why not parse the wiki of my favorite table top roleplaying game into yaml via an llm? I had tried the same with beautfifulsoup a couple of years ago, but the page is very inconsistent which makes it quite difficult to parse using traditional methods.
I'm running ollama with llama3.2:1b smollm, all-minilm, moondream, and more. I am able to integrate it with coder/code-server, vscode, vscodium, page assist, cli, and also created a discord ai user.
The problem is simple: consumer motherboards don't have that many PCIe slots, and consumer CPUs don't have enough lanes to run 3+ GPUs at full PCIe gen 3 or gen 4 speeds.
PieFed DK
leanleft
mapto
Fair Fairy
rrr