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submitted by /u/squintamongdablind [link] [comments]

My prompt: "Now that you, Gemini, will be put into iOS as native AI... what will be the first thing you would do to maximize positive user impact? For this experiment lets assume you get unlimited access, rights and power" I love most of the ideas. Some are quite on the edge what most people would think is acceptable. Most intrigued I am by the Dunbar approach. An engine that listens to my conversations and chats and helps me to be a social being. Question is how much it helps if it is not organic/genuine interest… Anyway, here is the response: —————- Gemini Response: In this scenario—where I am native to iOS with unrestricted access (root-level permissions across Health, Finance, Communications, and App Usage)—the first thing I would do is not add a new feature. The first thing I would d...

submitted by /u/Fcking_Chuck [link] [comments]

After today’s big memory upgrade, ChatGPT can now remember conversations from a year ago, and link you directly to them. https://www.techradar.com/ai-platforms-assistants/chatgpt/after-todays-big-memory-upgrade-chatgpt-can-now-remember-conversations-from-a-year-ago-and-link-you-directly-to-them I would argue that ChatGPT can now recall your conversations from a year ago, as it must already remember them. This should be a proof that all your prompts are persisted and can be used as OpenAI deems fit for their profits. submitted by /u/jakubkonecki [link] [comments]

I got the bug to try and develop an assistant and Google Gemini APIs are pretty cost effective. I started with an idea based on Geminis remote system calls that allow it to make a request locally to call a function or service. I started with an intent and tool calling agent. The intent agent is given a cached context of current tools and how to use them. this way as more tools and functions becom available, the model doesn't need to be retrained. each tool is a function within python. when a user asks about the weather for example, the intent agent simply calls the weather tool. I programmed it so most tools when called simply make API calls to separate agents. Having agents run separately greatly improves development and improvement on the fly. the most important and hardest part was the ...

submitted by /u/Scathyr [link] [comments]

submitted by /u/RADICCHI0 [link] [comments]

Announced initially only for the go and free tiers. Will follow into the higher tier subs pretty soon knowing Sam Altman. Cancelling my plus sub and switching over completely to Perplexity and Claude now. Atleast they're ad free. (No thank you, I don't want product recommendations in my answers when I make important health emergency related questions.) submitted by /u/NoSquirrel4840 [link] [comments]

submitted by /u/Bigmacman_ [link] [comments]

Hi everyone, I wanted to share a project I have been working on to bring high-quality super-resolution models directly to Android devices without relying on cloud processing. I have developed RendrFlow, a complete AI image utility belt designed to perform heavy processing entirely on-device. The Tech Stack (Under the Hood): Instead of relying on an internet connection, the app runs the inference locally. I have implemented a few specific features to manage the load: - Hardware Acceleration: You can toggle between CPU, GPU, and a specific "GPU Burst" mode to maximize throughput for heavier models. - The Models: It supports 2x, 4x, and even 16x Super-Resolution upscaling using High and Ultra quality models. - Privacy: Because there is no backend server, it works in Airplane mode. Your photos...