Articles for author: ikayaniaamirshahzad@gmail.com

March 3, 2025

ikayaniaamirshahzad@gmail.com

ComfyUI Custom Node – Game Boy Camera Style

I had seen some interesting images online that peaked my interest. A few people have taken upon them to use old Game Boy device with an attachment Camera and started taking pictures with it. There is GameBoyCameraMan on instagram that has a pretty decent following on Instagram and lots of intriguing images. I wanted to see if this could be done in ComfyUI and managed to recreate the same affect with Claude AI as my development engineer and some elbow grease the node is created. The original resolution of the Game Boy Camera is 128×112 pixel which is very small,

March 3, 2025

ikayaniaamirshahzad@gmail.com

GitHub for Beginners: How to get started with GitHub Copilot

Welcome to season two of GitHub for Beginners! Last season, we introduced you to GitHub and helped you go from beginner to confidently using the platform. This season, we’re continuing your journey by leading you into the world of AI with GitHub Copilot. Imagine having a pair programmer who never takes a break and knows plenty of programming languages. That’s Copilot, which is powered by a number of large language models (LLMs) that you can choose from and is the industry’s most widely adopted AI coding tool. Today, we’ll be exploring everything you need to know to get started using

March 3, 2025

ikayaniaamirshahzad@gmail.com

The author of SB 1047 introduces a new AI bill in California

The author of California’s SB 1047, the nation’s most controversial AI safety bill of 2024, is back with a new AI bill that could shake up Silicon Valley. California state Senator Scott Wiener introduced a new bill on Friday that would protect employees at leading AI labs, allowing them to speak out if they think their company’s AI systems could be a “critical risk” to society. The new bill, SB 53, would also create a public cloud computing cluster, called CalCompute, to give researchers and startups the necessary computing resources to develop AI that benefits the public. Wiener’s last AI

March 3, 2025

ikayaniaamirshahzad@gmail.com

[2405.18540] Learning diverse attacks on large language models for robust red-teaming and safety tuning

[Submitted on 28 May 2024 (v1), last revised 28 Feb 2025 (this version, v2)] Authors:Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain View a PDF of the paper titled Learning diverse attacks on large language models for robust red-teaming and safety tuning, by Seanie Lee and 10 other authors View PDF HTML (experimental) Abstract:Red-teaming, or identifying prompts that elicit harmful responses, is a critical step in ensuring the safe and responsible deployment of large language models (LLMs). Developing effective protection against many modes of attack