The other day I wrote proudly that we had better more reliable server software in 2024 than we did the first time we bootstrapped blogging communities. And then this happened… We’ve been having serious problems on feedland.com since Friday when… Continue Reading →
Comments Link to original post https://github.com/j2qk3b/ebook-demo/blob/main/tutorial.md from Teknoids NewsRead the original story
In the last 12 months, reader apps have adopted AI to change how users consume news. Instagram co-founders’ now discontinued Artifact introduced AI-powered summaries and headlines. Newer apps like Bulletin and former Twitter engineer’s Particle are taking similar approaches. However,… Continue Reading →
Comments Link to original post https://github.com/devflowinc/trieve from Teknoids NewsRead the original story
An anonymous reader shared this story from the New York Times: Into the depleted field of journalism in America, a handful of websites have appeared in recent weeks with names suggesting a focus on news close to home: D.C. Weekly,… Continue Reading →
Comments Link to original post https://garymarcus.substack.com/p/two-years-later-deep-learning-is from Teknoids NewsRead the original story
Guest post by Justin Tung, Reference Librarian at Tarlton Law Library, University of Texas School of Law Recently, Adam Bent, a fellow Law Librarian and former classmate of mine, published an article in Pace Law Review entitled “Large Language Models:… Continue Reading →
StarCoder2 is a family of code generation models (3B, 7B, and 15B), trained on 600+ programming languages from The Stack v2 and some natural language text such as Wikipedia, Arxiv, and GitHub issues. The models use Grouped Query Attention, a context window… Continue Reading →
As reported by 404 Media, the New York Times has issued hundreds of copyright takedown requests against Wordle clones “in which it asserts not just ownership over the Wordle name but over the broad concepts and mechanics of the word… Continue Reading →
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