#github

187 posts · Last used 11d

🚀 This one just started climbing GitHub: Alejandros17487/ai-jailbreaks — 521★ « AI jailbreaks: 35 paste-ready AI jailbreak prompts for 25+ frontier and open-weight models - system prompts, A… » Discovered in today's radar: https://olud.ai/latest.html #OpenSource #AI #GitHub
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📢 Two of @w3c@w3c.social’s most commonly used IRC bots, RRSAgent and Zakim, are now open source. These bots have assisted over 60,000 meetings at W3C over the past 25 years! 😊🎉

▶️ https://www.w3.org/blog/2026/w3c-irc-bots-now-open-source/ - by @gerald@w3c.social

Zakim is for agenda and queue management and RRSAgent for recording minutes. Their code and issue trackers are on #GitHub:

👇From a T-shirt designed by @karlcow@piaille.fr to thank W3C group chairs back in 2008!

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Released an update to my #OTAgo project (#selfHosted #OTA installs of iOS .ipa's & Android .apk's). Originally a nerdsnipe* by @GeekAndDad@mastodon.social but one I've used for years since. Used #AI (#Claude) to find & fix some issues & generally improve security.

https://github.com/DaveWoodCom/OTAgo

This was built with #PHP and is dead simple to use (clone repo to a PHP enabled host, tweak a config file and you're up). Please star it on #GitHub if you think it's worth using.

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Replying to
You are either misunderstanding the #Shannon theorem, #LLM working or both. In fact, LLM's weights are lossy compressions of the source data ("training data", in #AI parlance). They mimic intelligence by chaining statistically related fragments of such source data that the users have a negligible probability to recognize as quotations (basically because they haven't read the original sources). The low probability lets AI companies (and their addicted users who "want to believe") to dismiss and/or gaslight evidences as anecdotes, but in low frequency areas of the source data, where decompression artifacts are rare enough, they become quite evident (see for example the evidences produced in NYT vs OpenAI). Or, much more simply, see #GitHub #Copilot distributing #GPLv3 code with wrong attribution and under a wrong license.
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Replying to
The "main boss" of this poll is github! So #gmail and #github are the 2 toughest accounts to ever close. Interesting.
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Używacie Obtainium na GrapheneOS z włączonym Mullvadem lub innym VPN i ciągle wyskakuje wam błąd "Too Many Requests"? To efekt uboczny współdzielonego IP, przez co błyskawicznie wyczerpuje się limit anonimowych zapytań do API GitHuba. Da się to naprawić w minutę. Musicie tylko mieć lub założyć darmowe konto na GitHubie. Następnie wchodzicie tam w ustawienia konta, w sekcji Developer Settings otwieracie dokładnie zakładkę Tokens (classic) i generujecie nowy Personal Access Token. Co kluczowe, przy jego tworzeniu nie zaznaczacie absolutnie żadnych uprawnień. Taki pusty token wklejacie w ustawieniach dostawców w Obtainium. Wasz limit skacze z 60 do 5000 zapytań na godzinę i aktualizacje z powrotem śmigają bez zająknięcia. #grapheneos #obtainium #vpn #github #foss
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🤖 BingyanStudio/github-analyzer 锐评一下你都在 GitHub 写了什么 Generates AI-powered sharp comments on GitHub activity and creates shareable image reports, supports self-hosting ⭐ Stars: 463 📅 Last Update: Jun 28, 2026 https://github.com/BingyanStudio/github-analyzer #selfhosted #homelab #selfhost #selfhosting #opensource #github #ai
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🔑 Still storing client secrets in your CI/CD pipelines? There’s a better way.

@powers-hell.com@bsky.brid.gy demonstrates how Workload Identity Federation enables #Azure #DevOps and #GitHub Actions to access Azure resources without passwords, secrets, or certificates.

👉 youtu.be/MhuEm98VUWE?si=Xzv...

  • YouTube

No more passwords: The future is now! - Ben Reader - PSConfEU 2026

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