Query: "best computer that is able to run large genai models"

Open Assistant Project

• LAION is working on an open-sourced version of ChatGPT for which the users are gathering datasets.
• The project is in the early stages using established research in applying reinforcement learning-based human feedback technology to large language models.
• Open Assistant will be free to use and modify with code and models licensed under Apache 2.0.
• The training data will be released under CC BY 4.0.
• The project will be runnable on Consumer Hardware.

Other AI Models

• Bloom AI: Comparable to ChatGPT and runs chat models locally but requires significant GPU power.
• Petals Project: Utilizes distributed computing to train models and improve them.
• KoboldAI: An automatic UI for running open-source models locally.
• Bing Chat: Mentioned as a nerfed AI model due to Bing Chat.
• SD Platform: Described as a desired platform for neutral replies and fact-checking of AI-generated responses.

Hardware Recommendations

• Raspberry Pi: Suitable for running AI models if the intended usage is not heavy.
• HP Microserver Gen8: Utilized for vSphere hosting with vSAN and can handle multiple active VMs.
• Thin Clients: Cost-effective and can run Linux and desktop applications with ease.
• AI Prof's Cost Estimate: ChatGPT may cost around $100k a day to run, totaling $36 million annually.
• Consumer Hardware: Mentioned for running open-source models.

Ethical Considerations

• AI Capabilities: AI may struggle with breakthrough innovations and original creative ideas.
• Stupidity: Some believe replicating the randomness of human stupidity would be challenging for AI models.
• Scams and Misuse: Concern expressed over scams and fake donation scams potentially fueled by AI advancements.

Individual Projects and Tips

• Running AI language models often involves dealing with output biases and failures to comprehend prompts accurately.
• Role-playing and community involvement are suggested for finetuning language models.