also, it really makes all of us at openai so happy to see people enjoying chatgpt so much, and doing such creative things!
GENERATIVE AI
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ChatGPT Demand Exceeds Expectations, OpenAI Scales Capacity
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there is a lot more demand for ChatGPT than we expected; we are working to add more capacity
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Blurred Line Between AI Training and Copyright Infringement
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There’ll be a fuzzy & heavily litigated line between training an AI and copyright infringement. Is it a fuzzy interpolated search restating data from Yelp, Quora, Stack Overflow? Or remixing a thousand copyrighted artists, coders, authors? Or is it learning, thinking, creating?
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Fighting for Open AI Systems Against Closed Approaches
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Don't lose hope! It's always a pendulum between closed and open and very cool open stuff will follow if we keep fighting for it like you've been doing!
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ML Evolution: From Hardware-Dependent to Affordable Software Solutions
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🔥 but already outdated now you can do it in 5 mins without any hardware for $1 haha https://t.co/FvYFyxV0wk. ML moves too fast these days!
— clem 🤗 (@ClementDelangue) 1 décembre 2022but already outdated now you can do it in 5 mins without any hardware for $1 haha https://
x.com/multimodalart/
status/1598260506460311557
…. ML moves too fast these days! -
AI Advances Enable Rapid Disinformation Distribution Like Printing Press
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The invention of the printing press led to an easy and fast distribution of disinformation. Advances in AI are doing the same.
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Stable Diffusion 2: Foundational Model Powering Next Generation
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Perhaps @StableDiffusion 2 was misnamed. the “2” branding implies it’s same but better, but it’s not – out of the box. it’s a LOT better when you know how to wield it, or finetune it. SD2 is a *foundational* model now, that will power an entire generation of txt2img models.
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Outdated model note: text-davinci-002 is now outdated, latest models are better
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Note this was created with text-davinci-002, which is now outdated — the latest models can probably do a lot more.
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LLM Use Cases and Practical Applications Explained
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Read more about these use cases and the examples mentioned: https://
txt.cohere.ai/llm-use-cases/ -
Search and Similarity: Finding Relevant Documents with AI
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5/ Search/Similarity. Given a text query, find documents that are most similar to the query. Example: Take a customer inquiry and find the most relevant FAQ from a database.