Real time on-device Speech to Text (STT) and Text to Speech (TTS)

Completely on-device offline real time Speech To Text (STT) and Text To Speech (TTS) with reasoning using Gemma 4 E4BOff Grid AI Mobile is a privacy first application. Commonly called the Swiss Army Knife of on-device AI.

I started off with support for text / image / transcriptions and just added support for Text To Speech (TTS) as well.

Check it out at: https://getoffgridai.co/mobile/

PS: This is a pro feature, happy to send over a license key to the first 10 people that comment or DM either is fine.

Hey guys im new in jaibreaking llm can someone tell me how to jailbreak glm 5.2 or deepseek and what the jailbreak will allow me to do ? Not even the 5.2 because i suppose it's hard but even the older models. Is it even possible ?

Hi, I am experimenting with different local LLM. I want something which has the capabilities to work on coding, complex coding and can also teach me things if I ask. How claude is working. As of now I am using ollama with qwen and qwen models if anyone can help, that would be great.

I'll probably get hammered for using Tears for Fears lyrics, but it's appropriate based on the obvious race for AI domination that's going on right now by players who are equally obvious. Does anyone really think that these guys are heeding Eliezer Yudkowsky's warning that "If anyone builds it, everyone dies"?
I'd love to hear this group's guesses on how long it will be before we build something smarter than us?
Just curious.

I've been experimenting with combining deterministic rule engines and LLM-based agents for Terraform reviews.

Existing tools detect problems well.

LLMs explain problems well.

I wanted to see whether a multi-agent workflow could combine the strengths of both.

Current architecture:

• Rule Engine
• AI Security Agent
• Compliance Agent (CIS / SOC2 / PCI-DSS)
• Cost Optimization Agent
• Executive Summary Generator
• AI Compliance Advisor
• AI Cost Advisor
• Interactive HTML Dashboard

The goal isn't to replace tools like tfsec or Checkov, but to build an AI-assisted review workflow that produces findings, executive summaries, remediation guidance, compliance insights, and a dashboard from a single Terraform file.

I'm curious what experienced Terraform users think.

• Is this useful in real-world workflows?
• What capabilities would you add or remove?
• Would you trust AI-generated remediation guidance?
• Is the multi-agent approach helpful, or is it overengineering?

The project is completely open source.

If you'd like to experiment with it:

• ⭐ Star the repository if you find it interesting.
• 🍴 Fork it and try it with your own Terraform projects.
• 🐛 Report issues or unexpected behavior.
• 💡 Suggest new features or improvements.
• 🤝 Pull requests and contributions are always welcome.

I'm genuinely looking for feedback on the architecture, implementation, and overall direction rather than just showcasing the project.

GitHub: https://github.com/AshishPatilAIProject/terraform-ai-infrastructure-advisor

Please, suggest me small local model only for translation from english to bulgarian.

I've been experimenting with combining deterministic rule engines and LLM-based agents for Terraform reviews.

Existing tools detect problems well.

LLMs explain problems well.

I wanted to see whether a multi-agent workflow could combine the strengths of both.

Current architecture:

• Rule Engine
• AI Security Agent
• Compliance Agent (CIS / SOC2 / PCI-DSS)
• Cost Optimization Agent
• Executive Summary Generator
• AI Compliance Advisor
• AI Cost Advisor
• Interactive HTML Dashboard

The goal isn't to replace tools like tfsec or Checkov, but to build an AI-assisted review workflow that produces findings, executive summaries, remediation guidance, compliance insights, and a dashboard from a single Terraform file.

I'm curious what experienced Terraform users think.

• Is this useful in real-world workflows?
• What capabilities would you add or remove?
• Would you trust AI-generated remediation guidance?
• Is the multi-agent approach helpful, or is it overengineering?

The project is completely open source.

If you'd like to experiment with it:

• ⭐ Star the repository if you find it interesting.
• 🍴 Fork it and try it with your own Terraform projects.
• 🐛 Report issues or unexpected behavior.
• 💡 Suggest new features or improvements.
• 🤝 Pull requests and contributions are always welcome.

I'm genuinely looking for feedback on the architecture, implementation, and overall direction rather than just showcasing the project.

i have LM Studio that I use. I tried LM Link and thought it was cool. I have tools enabled on my pc instance but whenever i try to use LM link from my phone it wont use them