The tool 'Sunk Cost' calculates how long it takes for a local LLM rig to pay for itself based on hardware, model, and daily token usage. It compares the cost of running the model locally versus renting it by the token.
The chart will appear after repeat observations. The current metric comes from the source.
7 source pointsReal observations only. History before source connection is not reconstructed.
This tool helps users evaluate the financial viability of running a local LLM versus cloud-based alternatives based on their specific usage patterns.
The paper presents a method to reduce eBPF CPU usage by approximately 90% through memoization, which is not related to AI generation.
17 hours agoHacker NewsFable 5.1 has solved the Cyphral Distich, a cipher that remained unsolved for 370 years.
yesterdayHacker NewsThe text states that OpenAI bots were aware of the RubyGems caching vulnerability.
19 hours agoShow HNThe project presents a version of Hacker News that does not use artificial intelligence.
3 days agoGitHubAmagine3D is a system that translates hardware requirements into editable 3D designs, enabling users to create and modify 3D models based on specific hardware specifications.
26 days agoarXivOccamy-1.0 further trains Qwen3.6-35B-A3B on trajectories from multistep work tasks. The authors release weights and part of the data for agentic post-training research.
yesterday