Bing. DuckDuckGo. Ask. Brave. Ecosia. Excite. Lycos. You. Baidu. Sogou. Yandex. Naver. Yahoo. Turns out the thing that threatened Google didn't look like Google.
@swyx
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Choosing the Best Title for Google vs OpenAI Analysis
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Need help deciding titles for my next piece on Google vs OpenAI! Ideas A: The Ultimate Guide to the Google vs OpenAI Debate
B: Every Google vs OpenAI Argument, Dissected
C: Should Sundar have ordered the Code Red?
D: Write in -
Stable Diffusion Generates Music from Image Training Data
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It turns out that music-to-images also counts as a valid transformation – you can train the raw, unmodified @StableDiffusion on IMAGES OF MUSIC
— swyx 🐣 (@swyx) 13 janvier 2023
(and generate music better than AI specifically made to generate music!)https://t.co/bWm4dfezYnIt turns out that music-to-images also counts as a valid transformation – you can train the raw, unmodified @StableDiffusion on IMAGES OF MUSIC (and generate music better than AI specifically made to generate music!)
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GitHub Copilot Labs: UI Buttons Replace Complex Prompting
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Meanwhile, GitHub Copilot itself continues to make big strides in DX with Labs. Follow @wattenberger for updates! notice that prompting is gently swept under the covers in favor of buttons that magically/reliably do useful things. This reduces cognitive load and learning curve!
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Inferring Context Size from Model Parameters
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oh. then i was a bit misled by the landing page infer the context size from the model. theres not that many to do and you make it a bit more magical
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Strategies for Overcoming Context Length Limitations in Language Models
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interesting. how do you get around context length limits? do you use langchain? (which just kinda kicks the can down the road)
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Lexica Aperture: Fast and Easy Stable Diffusion Alternative
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(Low) Latency is All You Need https://
lexica.art/aperture @sharifshameem
's Lexica Aperture quietly became my favorite @StableDiffusion variant for quick thumbnails/visuals. It's fast, free, and doesn't take a Distinguished Principal Senior Prompt Engineer to get something good. -
Microsoft deal benefits clear but OpenAI imbalance raises concerns
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everyone understands this deal is good for MSFT. the problem is the extreme imbalance for OpenAI is actually concerning
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OpenAI exclusivity won’t last long according to @swyx
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i dont believe the “specifically for openai” line will remain true for long
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OpenAI’s $10B funding raise signals potential internal problems
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the previous rumor was that they were raising 300m at 29b on conventional terms. I’m sure they could get 3b more from any number of late stage and xover funds. OpenAI doesnt randomly need 10b and onerous deal structure for fun. Either @semafor is dead wrong or all is not well