From 2021. Shouldn't we already be seeing how it played out?
/edit: 183 public GitHub repos.
From 2021. Shouldn't we already be seeing how it played out?
/edit: 183 public GitHub repos.
Links to two years ago. Surely jpg png or bmp parsers had security issues whatever years ago as well?
If you want your organization to use your current username, you’ll need to rename your personal account first
Is it possible to automate observing user renames and then create new accounts effectively blocking them?
After the first half, content repetition sets in, making me wonder about degree of LLM. I feel like at the end I read two things in particular three times.
Either way, The first half or third was interesting and valuable.
Liquid glass? Sounds hot. 🤡
They say they want to distance themselves from Microsoft. VSCodium is a stripped/forked VSCode, I have to assume that's why they want to evade it. Theia is a separate, independent project that adds VSCode-plugin-compatible APIs.
I used GitGitGadget to make all of my contributions. This meant that I could make a GitHub pull request (a workflow I’m comfortable with) and GitGitGadget would convert my PRs into the system the Git developers use (emails with patches attached). GitGitGadget worked great and I was very grateful to not have to learn how to send patches by email with Git.
Interesting
Eclipse Theia is a VSCode-like IDE
I don't know if all your desired tooling is covered.
A task that might have taken five hours assisted by AI, and perhaps ten hours without it, is now more commonly taking seven or eight hours, or even longer.
What kind of work do they do?
in my role as CEO of Carrington Labs, a provider of predictive-analytics risk models for lenders. My team has a sandbox where we create, deploy, and run AI-generated code without a human in the loop. We use them to extract useful features for model construction, a natural-selection approach to feature development.
I wonder what I have to imagine this is doing and how. How do they interface with the loop-without-a-human?
Either way, they do seem to have a (small, narrow) systematic test case and the product variance to be useful at least anecdotally/for a sample case.
I am happy to share that we (the @GoogleAIStudio team) are now a sponsor of the @tailwindcss project! Honored to support and find ways to do more together to help the ecosystem of builders.
by Logan Kilpatrick - user profile desc: Lead product for @GoogleAIStudio & Gemini API. My views!
In December 2024, the BBC carried out research into the accuracy of four prominent AI assistants that can search the internet – OpenAI’s ChatGPT; Microsoft’s Copilot; Google’s Gemini; and Perplexity. We did this by reviewing responses from the AI assistants to 100 questions about the news, asking AI assistants to use BBC News sources where possible.
The answers produced by the AI assistants contained significant inaccuracies and distorted content from the BBC. In particular: …
51 % significant issues, 19 % factual errors, 13 % altered or invalid quote citations
Manifesto from 2021.
183 public repos on GitHub