HN user

prosim

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github.com 2mo ago

GitHub Copilot's new desktop app

prosim
3pts1
embracethered.com 11mo ago

GitHub Copilot: Remote Code Execution via Prompt Injection (CVE-2025-53773)

prosim
3pts1
codeium.com 1y ago

Codeium built a proprietary coding LLM

prosim
1pts0
about.gitlab.com 2y ago

Gitlab Duo Workflow, autonomous AI agent

prosim
2pts0
www.tabnine.com 2y ago

Tabnine's vision for the future: The Atlassian Jira-to-code AI agent

prosim
2pts0
github.blog 2y ago

GitHub Artifact Attestations

prosim
7pts1
www.recordedfuture.com 2y ago

Abusing GitHub for Malicious Infrastructure

prosim
2pts0
blog.alexellis.io 2y ago

GitHub Actions as a time-sharing supercomputer

prosim
2pts0
sourcegraph.com 2y ago

Sourcegraph Cody Is Generally Available

prosim
3pts0
dannguyenhuu.substack.com 2y ago

Defensibility in GenAI: What AI Startups Can Learn from GitHub Copilot

prosim
1pts0
twitter.com 2y ago

GitHub Copilot loses an average of $20 per month per user

prosim
5pts0
www.harness.io 2y ago

Gitness – open-source Git Platform

prosim
4pts4
huggingface.co 2y ago

HuggingFace SafeCoder vs. Closed-Source Code Assistants

prosim
1pts0
about.gitlab.com 3y ago

Gitlab Duo, the suite of AI capabilities powering your workflows

prosim
1pts0
openobserve.ai 3y ago

Unveiling OpenObserve, the High-Performance, Cloud-Native Platform

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2pts0
www.itnews.com.au 3y ago

Westpac sees 46 percent productivity gain from AI coding experiment

prosim
7pts1
plus.pli.edu 3y ago

Policy for Generative AI Best Practices

prosim
2pts0
about.gitlab.com 3y ago

GitLab increases price for GitLab Premium

prosim
63pts2
betterprogramming.pub 3y ago

What Turned Me into a Paying Customer of GitHub Copilot

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1pts0
about.gitlab.com 3y ago

Testing ChatGPT: Can it solve a Gitlab issue?

prosim
2pts2
www.kooslooijesteijn.net 3y ago

Why is open source software so badly designed?

prosim
3pts0
harness.io 3y ago

The Data Is In: Harness CI Is the Fastest on the Planet

prosim
1pts0
ez.substack.com 3y ago

The Sky Is Falling

prosim
3pts0
huggingface.co 3y ago

The Stack – A 3TB Dataset of OSS

prosim
4pts0
world.hey.com 3y ago

The scarcity scarecrows of Open Source

prosim
2pts0
www.cnbc.com 3y ago

GitHub is relying more on Azure

prosim
4pts0
www.vice.com 3y ago

Microsoft Employees Exposed Secrets on GitHub

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2pts0
gizmodo.com 4y ago

Microsoft Cuts Job Openings as Big Tech Worries About U.S. Economy

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1pts0
www.protocol.com 4y ago

ClickUp unexpectedly lays off 7% of its staff

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2pts0
resources.github.com 4y ago

Compare GitHub to other DevOps solutions

prosim
1pts0

Like Copilot CLI, but now Copilot also has a desktop app. Next to github.com, GitHub Desktop, GitHub Mobile, and Copilot in VS Code, somebody will explain the strategy of this... one day.

To quote from the article: "These repositories, belonging to more than 16,000 organizations, were originally posted to GitHub as public, but were later set to private [..]" Once things are public, they will forever remain public (in some form). That's how the internet works.

[dead] 1 year ago

tl;dr Bing indexed and cached a public repository, then made it available to its AI chat. Later, the repository author switched the repository to private and understood how the internet works. And the story gets only better as the author is the founder of a “cybersecurity” company.

Footnote 1 on page 2 explicitly mentions the 3.5 model and the research in this paper is only about auto completion: https://arxiv.org/pdf/2306.15033.pdf

And this blog post states “beyond Codex”, again for auto completion: https://github.blog/2023-07-28-smarter-more-efficient-coding...

Lastly, OpenAI states on the original Codex page: “OpenAI Codex is a descendant of GPT-3; its training data contains both natural language and billions of lines of source code from publicly available sources, including code in public GitHub repositories.” - It included GitHub repos, but it never was only GitHub repos. https://openai.com/blog/openai-codex

Update: GitHub Community Manager confirms it here: https://github.com/orgs/community/discussions/56975#discussi...

They did not prompt at all. They used GitHub’s code search to find projects where the repo owner specified that the code was generated “by Copilot” and the authors took that at face value for all code in the project. Whether the code was actually suggested by Copilot is not at all analyzed in the paper. As such, the results are highly questionable.

Where does OpenAI state that they only train ChatGPT-3.5 or GPT-4 on code from GitHub? The model for GitHub Copilot X clearly has a (human) language understanding that you can't get from source code (or source code comments), so they are trained on much more data than GitHub has and there is no reason to believe OpenAI would limit themselves to that.

To hide the fact that this whole post is a marketing campaign with flat out wrong facts and examples that are nothing more than goading.

Heroku/SalesForce updated their status on https://status.heroku.com/incidents/2413:

"Salesforce continues to investigate this incident in coordination with GitHub and our retained third-party breach vendor. Once we identify how the threat actor gained access to customers' OAuth tokens, we will immediately take appropriate actions."

Sounds like they simply don't know yet how the actor got access and what else was exposed.

The comparison states that "With GitLab, you get even more features than GitHub Team" and then lists code owners, multiple issue and PR assignees, or standard support. All these features are included in GitHub Team for $4 per month, so this whole section of the blog post is misleading.

Also, you may want to point out that GitLab only offers annual billing, so the minimum charge on GitLab is $48. Some of my hobby projects only run a couple of months, so GitHub is the better choice.

It's a good article.

I would love to read more background on the acquisitions of MarsEdit, NNW, and Glassboard. MarsEdit 3.0 was released in 2010 and since then has only seen minor updates. NNW is dead in the water on OS X and completely gone on iOS. And Glassboard is losing significant amounts of money while the author spends more time on blog posts and podcasts than adding features to the app (not to talk about all those crashes).