Anthropic releases part of AI tool source code in 'error' - thedigitalcourier.com
<a href="https://news.google.com/rss/articles/CBMi6AFBVV95cUxNaWdaaHB3Q1VGbmY1a2pmakxTZ2tMeEZsLThxeXY1WER1aS1lbnVvUFhqNFpTeWJ2NXE0bGNsNzZOaVRsUDV1V1ZYbEpubWtWSDJZaklwNG14UXI1UVcxSERpMnI3N2NKT2Z3Z29idVdzSVJsdkZjb25lTno4dmZRakJyVnJ2TDJSc2NxQ2VMdmEtTXcwZVMtXzhZcG1vTUJDY1owbU1MUFRLdUprSS1ZWmdnNnNMcHBMaTd3X1VLYzRhSmxqZFd1cmRCZVQxbElXS01XVHZ1ZWl4Z3oxU1dhbG1JWGJrYjFC?oc=5" target="_blank">Anthropic releases part of AI tool source code in 'error'</a> <font color="#6f6f6f">thedigitalcourier.com</font>
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Support seems non-existent and the last proper release was over a month ago. Comparing with llama.cpp, they are just miles different in activity and support. Is there an alternative or should just use llama.cpp for my macbook? submitted by /u/Solus23451 [link] [comments]
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I built a faster alternative to cp and rsync — here's how it works
I'm a systems engineer. I spend a lot of time copying files — backups to USB drives, transfers to NAS boxes, moving data between servers over SSH. And I kept running into the same frustrations: cp -r is painfully slow on HDDs when you have tens of thousands of small files rsync is powerful but complex, and still slow for bulk copies scp and SFTP top out at 1-2 MB/s on transfers that should be much faster No tool tells you upfront if the destination even has enough space So I built fast-copy — a Python CLI that copies files at maximum sequential disk speed. The core idea When you run cp -r , files are read in directory order — which is essentially random on disk. Every file seek on an HDD costs 5-10ms. Multiply that by 60,000 files and you're spending minutes just on head movement. fast-cop
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