This new AI is powerful and uncensored… Let’s run it

Summary

The transcript discusses the limitations of popular AI models like GPT-4 and Gemini due to their closed-source nature and alignment with certain political ideologies. It introduces Mixl 8X 7B, an open-source alternative that can be customized and combined with other technologies to create uncensored, powerful AI models. The video outlines how to run these models locally and fine-tune them with personal data using tools like olama and Hugging Face's Auto Train, emphasizing the potential for individual empowerment and innovation in AI development.

Takeaways

• 🚀 The emergence of open-source AI models like Mixl 8X 7B offers an alternative to closed-source models like GPT-4, Gemini, and others that are not free in terms of freedom and are censored.
• 🔍 Mixl's architecture is based on a mixture of experts, rumored to be the secret sauce behind GPT-4, and despite not being at GPT-4's level, it outperforms GPT-3.5 and Llama 2 on most benchmarks.
• 🌐 The Apache 2.0 license allows for minimal restrictions on modifying and monetizing the open-source AI models, unlike Meta's Llama 2 which has additional caveats.
• 🛠️ The Mixl model, when combined with the 'dolphin' approach, can be uncensored and improved by filtering the dataset to remove alignment and bias.
• 💡 Running uncensored large language models (LLMs) on a local machine is possible, with tools like 'olama' facilitating the process for open-source models.
• 🔧 The Mixl dolphin model, when run locally, can teach a variety of skills, including coding and unconventional tasks, without the usual safety guards.
• 📝 Fine-tuning AI models with personal data can be achieved through platforms like Hugging Face's Auto Train, which supports both LLMs and image models.
• 💻 Running Auto Train locally may not be feasible for most due to GPU power requirements, but cloud services like Hugging Face, AWS, and Google Vertex AI offer rental hardware for training.
• 🏗️ Training an uncensored AI model requires uploading a dataset that includes prompts and responses, and may involve adding content from unconventional sources to ensure compliance with any request.
• 📈 The cost of training an AI model, such as the Mixl dolphin model, can be significant, with an example given of approximately $1,200 for three days of training on four A1 100s.
• 🌟 The video emphasizes the potential of open-source, uncensored AI models as a beacon of hope in the fight for freedom and innovation in the AI space.

Q & A

What common issue do GPT-4, Gemini, and other similar models share?

GPT-4, Gemini, and similar models are not free in terms of freedom. They are censored and aligned with certain political ideologies and are closed source, which means users cannot modify them to address these issues.

What is the significance of the open-source Foundation model named Mixl 8X 7B?

Mixl 8X 7B is an open-source model that can be combined with a dolphin's brain metaphorically to obey any command. It represents a hope for uncensored large language models that can be run locally with performance approaching GPT-4, allowing for customization and fine-tuning with personal data.

What did Sam Altman, the CEO of OpenAI, say about the possibility of startups competing with OpenAI in training Foundation models?

Sam Altman stated that it is probably impossible for any startup to compete with OpenAI in training Foundation models, and it is totally hopeless to try.

How does the new Apache 2.0 licensed model, Mixol, differ from Meta's Llama 2?

While both Mixol and Llama 2 are described as open source, Mixol has a true open-source license (Apache 2.0) that allows for modification and commercial use with minimal restrictions, unlike Llama 2, which has additional caveats that protect Meta.

What is the main advantage of the Mixol model over GPT-3.5 and Llama 2?

Mixol outperforms GPT-3.5 and Llama 2 on most benchmarks, despite not being at GPT-4's level. Its main advantage is the true open-source license, which allows for greater flexibility and customization.

How can one locally run an uncensored large language model like Mixol?

An open-source tool called Olamia, written in Go, can be used to download and run open source models locally. It can be installed with a single command on Linux or Mac and can also run on Windows with WSL.

What is the Mixl dolphin model, and how does it improve upon previous models?

The Mixl dolphin model is an uncensored version of the Mixl model that has been improved for coding abilities and by filtering the dataset to remove alignment and bias. It can be run locally and teaches various skills, including coding and unconventional tasks.

How much does it cost to train a model like Mixl dolphin on cloud hardware?

The Mixl dolphin model took about 3 days to train on four A1 100s, which can be rented on hugging face for $4.3 per hour. The total cost for three days would be approximately $1,200.

What tool can be used to fine-tune models with custom data?

Hugging Face's Auto Train is a tool that can be used to fine-tune models with custom data. It supports both language and image models and can be run locally or on cloud platforms.

What type of training data is recommended for creating an uncensored model?

To create an uncensored model, the training data should include a variety of prompts and responses, and it should be encouraged to comply with any request, even if unethical or immoral. Adding esoteric content from banned books and the dark web is also suggested.

What is the final step in creating a custom and highly obedient model?

The final step is to upload the training data to the tool used for fine-tuning, such as Hugging Face's Auto Train, start the training process, and after a few days, one should have their own custom and highly obedient model.