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bachittle

96 karma · joined December 6, 2023

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bachittle··on Perplexity Comet
AI-based chromium forks are becoming as common as AI-based visual studio code forks. I wouldn't be surprised if AI-based Linux distros started becoming popular too. Seems the ideal workflow is to fork off of existing open-source solutions, add paid features and lock behind paywall, make profit.
bachittle··on Chatterbox TTS
I always have issues with TTS models that do not allow you to send large chunks of text. Seems this one does not resolve this either. Always has a limit of like 2-3 sentences.
bachittle··on OpenAI o3-pro
it's the same model as o3, just with thinking tokens turned up to the max.
bachittle··on OpenAI o3-pro
free users don't have this model selector, and probably don't care which model they get so 4o is good enough. paid users at 20$/month get more models which are better, like o3. paid users at 200$/month get the best models that are also costing OpenAI the most money, like o3-pro. I think they plan to unify them with GPT-5.
bachittle··on Thoughts on Thinking
The article mentions that spell and grammar checking AI was used to help form the article. I think there is a spectrum here, with spell and grammar checking on one end, and the fears the article mentions on the other end (AI replacing our necessity to think). If we had a dial to manually adjust what AI works on, this may help solve the problems mentioned here. The issue is that all the AI companies are trying too hard to achieve AGI, and thus making the interfaces general and without controls like this.
bachittle··on Canvas is a new way to write and code with ChatGPT
I replaced Cursor with continue.dev. It allows me to run AI models locally and connect it with a vscode plugin instead of replacing vscode with a whole new IDE, and it's open source.
bachittle··on Devin: AI Software Engineer
I recommend looking at swe-bench to get an idea as to what breakthroughs this product accomplishes: https://www.swebench.com/. They claim to have tested SOTA models like GPT-4 and Claude 2 (I would like to see it tested on Claude 3 Opus) and their score is 13.86% as opposed to 4.80% for Claude 2. This benchmark is for solving real-world GitHub issues. So for those claiming that they tried models in the past and it didn't work for their use case, maybe this one will be better?
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