~20k users in the app store, and we’re the world’s #1 rated survival AI (called, “The Ark”). Physical devices have gone viral , I’ve spoken with Search and Rescue for some law enforcement agencies and even the military. It’s…
- Waterproof (IP68 rating when closed)
- Portable (<1ft wide, ~3lbs)
- Rugged (can run it over with a car) The AI can provide sources for its answers (even while offline), referencing the exact page to one of the guides stored in its on-device survival skills library. It can do so much like an offline street-level map of the entire world or even offline texting up to 50miles, but basically it ensures you’re prepared for any emergency- lost in the wild, natural disasters, nuclear warfare, etc. Try for free here: https://apps.apple.com/us/app/survival-ai-the-ark/id6746391165 Physical device: https://scorpiodevices.com/order *Our AI also has confidence scores, where any dangerous topics like mushroom identification are listed as low confidence.
To provide some technical value, I wanted to walk someone through how to get their own setup on a computer. As a prerequisite, you’ll need a PC with at least 8GB of RAM free, and 20GB of disk space available. An LLM or “AI” is just a file. Normally these files are stored on big tech servers. When we use their mobile apps, they have code that relays your message to their servers at which point a sorting algorithm will identify the difficulty of your message. As a cost-saving effort, if your message is deemed not too difficult, your message will go to a “dummer”, computationally less expensive LLM they have on a server. This means you could be (and often are) talking to an LLM that is dumber than what you think it is despite what the graphics (and perhaps your subscription) would indicate. An offline LLM therefore, has several advantages like privacy, cost, control, and oftentimes unrestricted communications. To start getting a survival LLM, you’d likely want Ollama (software that helps you run LLMs locally). Here’s the site: https://ollama.com/download/ Once that’s downloaded, you can browse their catalog for offline llms that you can run via the command line or terminal- “olllama run phi3” is an example. Generally larger models are smarter but that’s not always the case. Smaller models you can run on your own hardware can outperform larger modern ones on niche tasks. For this project, I have the ~20k people training a survival model in the cloud by assuming they’ll make it back from their offline emergency safe so I have a model that learns from emergencies all around the world in effect (users can opt out). Our AI can even provide pictures for its answers too which is super useful. We’ve sold over thirty of them in the past month. I think it’s super exciting. The next thing is making it faraday caged, and solar-charged. submitted by /u/scorpioDevices
Originally posted by u/scorpioDevices on r/ArtificialInteligence
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