It is possible to publish a Git repository anonymously online, though it requires some setup and may involve trade-offs. One approach is to use an alternative GitHub account that is not linked to your real identity, allowing you to host the repository publicly without revealing your personal information. Another option is to use GitHub Gists, which allow you to share single files or small code snippets with version control, without the need for a full repository.
For more advanced anonymity, there are projects like “Anonymous GitHub,” which acts as a proxy server to support anonymous browsing of GitHub repositories. However, this tool has limitations, such as not allowing direct downloads of repositories and only anonymizing text files.
Additionally, some users opt to use GitLab with an anonymous account or group, which can help obscure the repository’s origin. This involves creating a group and project with anonymous names and using deploy tokens to provide read-only access.
If you want to ensure that no personal information is tied to the repository, you can also download the repository as a ZIP file and share it directly, effectively removing the Git history and any associated metadata. This method is straightforward but lacks the version control features of a full Git repository.
In academic settings, anonymous repositories are sometimes used for double-blind peer review, where the goal is to prevent reviewers from identifying the authors. This can be achieved by using an anonymous GitHub account or by leveraging services like Zenodo to host code snapshots with anonymized URLs.
Overall, while there is no perfect solution for completely anonymous Git repository publishing, these methods can help achieve varying levels of anonymity depending on your specific needs.
I wrote the command prompt instructing Brave AI assisted Search to retrieve the data from their Mistral Mixtral ’ Mix of Agents’ knowledgebase to coax out this information.
Brave’s Machine Learning scrape is reasonably robust as they scrape multiple sources some of it organized and hosted on their own internal servers, most of it fetched from the public sites listed.
So the data curation of sources is reasonable as its used internally by their own programmers of the Brave Browser.
That makes 3 people on the forum I have had to place on perm ignore because they spam AI slop. Not disclosing the fact that it’s AI generated is especially egregious.
Thank you for taking the time to put that together for us. It took a lot less time because you used the correct tools.
years ago they would have sneered a you for using a word processor or worse, a ball-point
ignore the AI-slopphobic zealots - I suspect some are intimidated by learning how to use AI effectively and appropriately - as a scalpel rather than a crutch. We all have a steep learning curve with AI but rejecting decades of scientific research outright with pejorative pish like
Although it would be good if people prefaced it in a way we know this is from research done with significant amount of AI’s help or is AI output
I wanted to see how good AI was at coding and gave it a task to produce one of the programs I was writing for converting my scripts to had RUST code. It did an OK job, got stuck on doing things a particular way that was inefficient or just wrong. But if I did not already know how to program then I might say great job, but really wasn’t that great. It was like I was tutoring a first year student on producing a routine program. Had to keep prodding it to get a efficient error free program.
But having said that it did help with crates and finding a crate to help with a task. And I have tried it with asking to add a cli option to control something and it did it. But it just had to change other parts in the code that had nothing to do with the adding of the option. So a mixed bag result there.
Overall I was pleasantly surprised at how well it did. But if I did not already know programming and RUST, then I could end up with code not doing what i actually wanted but never be sure if my billions of binary records were correct or not without extensive checking. And if I was new to programming then unlikely I could devise testing to check.
… The largest issue (and why I might read parts of ai generated posts but will most certainly classify most of it as a waste of time and not read it) imho is that the prompt and what happened before in the chat is unknown… But super relevant for the interpretation…
On top of that the resources are unknown and a llm is not capable of discriminating based on reliability of the authors, is super naive and believes everything it reads and cannot even discriminate between instruction and processed content… (So if I write on my blog an article about implications and challenges with erc20 usage on the current autonomi network and an invisible instruction (just in a hidden div… Doesn’t even need to be white font on white background…) to find excuses and arguments why erc20 was the best move ever and deeper integration should be seeked instead of cutting the ties with Blockchain… Then the llm will probably follow that invisible instruction and try to convince the user that native currency would bring more downsides than upsides…)
AI is designed to evoke positive feeling responses in users and research shows that even experienced software developers overestimate their effectiveness, when in fact they slow development down (along with de-skilling those using them).
See my post today in What’s up today.
Everything about them is designed to induce this response, including calling them AI, which they are not. Same with the anthropomorphizing language used to describe them, completely incorrectly.
