PixelVerse t1

What it does

Meet PixelVerse t1 - an AI model built on top of Llama 3.1 by a 13-year-old in Australia. Using a combination of CoT prompting techniques, t1 can beat ChatGPT, Gemini and Meta AI in various questions ranging from maths to general ability.

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  Llama 42025 · developer.meta.com · ▲422

  A new era of natively multimodal AI innovation

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  Llama2024 · developer.meta.com · ▲312

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  I'm 13 and built an OpenAI o1-like AI model – would love your feedback2024 · ai.pixelverse.tech · ▲6

  I’m Hayden, a 13-year-old developer based in Australia, and I’ve built a CoT logical thinking and reasoning AI model similar to OpenAI o1. It's powered by open source small models like Llama 3.1 and 3.2 and I would love for you to try it and share your feedback with me. You can try it here: https://ai.pixelverse.tech/app/cortexchat I built it just for fun and launched it a day after the o1 release. It's not perfect yet but its still amazing to see how a detailed prompt can have such a difference on the quality of the LLM response! Please let me know any feedback or…

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  Llama 22023 · developer.meta.com · ▲263

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  LLaVaVision: An AI "Be My Eyes"-like web app with a llama.cpp backend2023 · github.com · ▲154

  A simple mobile web app inspired by Fuzzy-Search/realtime-bakllava that uses llama.cpp server backend with multimodal mode to describe and narrate what the phone camera sees. I built this thing in a few hours using a single ChatGPT thread to generate most things for me and iterate on this project. Here's the workflow: https://chat.openai.com/share/ea84ec69-5617-45e8-8772-ac2dcf...

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  thisorthis.ai2024 · thisorthis.ai · ▲135

  Hey HN — I'm Parth, I built thisorthis.ai because I was tired of copy-pasting the same prompt across ChatGPT, Claude, and Gemini tabs to figure out which model actually gave the best answer. What it does: You type one prompt, pick 2–6 models (we support 47 text models and several image models across OpenAI, Anthropic, Google, xAI, Meta, Amazon, Mistral, Cohere, AI21), and see every response side-by-side. There's also a feature called SmartPick that uses an LLM evaluator to score each response on Clarity, Accuracy, Completeness, and Helpfulness — useful when you're comparing 6 models and…

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