Stable Diffusion

5 statements across 4 episodes · 1 bullish · 1 bearish · 2 people on the record · first statement Dec 5, 2022 by Benedict Evans · said 26 times in 9 episodes since 2022 · across every show →

Mentions by year

brought up most by Benedict Evans (23), Toni Cowan-Brown (3)

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2024 1 mention in 1 episode
2023 14 mentions in 5 episodes 3 per episode
2022 11 mentions in 3 episodes 4 per episode

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Everything said about Stable Diffusion, oldest first

Dec 5, 2022 neutral
Insight
Evans: Generative AI creates novel combinations but lacks taste for quality
“With Stable Diffusion or GPT-III, It can only know which ones are good by reference to the existing corpus, and it can make something new, but it doesn't, a new original, a new and original and striking, but it wouldn't know that it was good without the human …”
Benedict Evans Dec 5, 2022 ▶ 28:49 ChatGPT and the Imagenet Moment
Feb 12, 2023 bullish
Insight
Evans: Generative AI processing demands will reignite the PC hardware upgrade cycle
“Will I be able to tell the difference running Keynote and a web browser and email and Excel? No, I will not be able to tell. Would I be able to tell running Stable Dive Fusion? Oh, suddenly I get that image back in 10 seconds instead of 20 seconds. Oh no, that…”
Benedict Evans Feb 12, 2023 ▶ 30:38 ChatGPT versus Google
Apr 2, 2023
Assertion Supported
Evans: Stable Diffusion occasionally reproduces Getty Images watermarks
“There was a thing in stable diffusion where every now and then you'd see like something that like a Getty image is watermark appear on the image.”
Benedict Evans Apr 2, 2023 ▶ 2:08 AI, copyright and collective knowledge
Apr 2, 2023 neutral
Prediction Held up
Evans: Running image generation models locally on phones is months or years away
“You know, we're going, quickly going to go to a model in which you can run stable diffusion on the journey yourself on your computer or on your phone. That's like months or years away. It's not decades away. That's close.”
Benedict Evans Apr 2, 2023 ▶ 27:22 AI, copyright and collective knowledge
Mar 3, 2024 negative
Assertion Supported
Brown: Stable Diffusion generated 7% female doctors, compared to 39% in reality
“And with the doctors one, the reality was that 39% of doctors in America are women, but in the stable diffusion results, it was only seven percent.”
Toni Cowan-Brown Mar 3, 2024 ▶ 8:08 Google Gemini and AI bias
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