
Michelle R Carney
5.1K posts

Michelle R Carney
@michellercarney
UXR for ML @TensorFlow @Google. Founder @mluxmeetup. Lecturer @stanforddschool Member @feminist_ai. Former Fellow @AFOGBerkeley. All views my own. she/her
SF Bay Area Bergabung Ekim 2011
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I finally finished writing up "What is #MLUX" on our @mluxmeetup medium! It is some of my favorite examples and how I think we can use #AI to inform #UX, and also how to #design for AI! 🤖🌟
medium.com/ml-ux/what-is-…
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Michelle R Carney me-retweet
Michelle R Carney me-retweet

🚨 NEW LABS EXPERIMENT 🚨
Introducing Opal, our new way to help you build and share AI mini-apps by linking together prompts, models, and tools— all while using simple, natural language (without a single line of code 🤯)
Now available in US-only public beta! Learn more ⬇️
developers.googleblog.com/en/introducing…
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Pleased to announce our brand new #WebAI playlist is live on @ChromiumDev 🎉 Check our 1st batch of videos recorded at the Web AI summit this Oct at @Google for state of the art machine learning entirely on-device via the client side in the browser: youtube.com/playlist?list=…

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Today, we are thrilled to announce that we are partnering with @canva to bring the power of Runway and AI video generation to Canva users all around the world.
runwayml.com/blog/runway-pa…
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Ikea Instructions LoRA is ✨amazing🌟
Try it out in huggingface.co/ostris/ikea-in… with the free widget at the right


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The @huggingface Ethics & Society Regulars seasonal newsletter is now up! Come check out what we've done this summer, how we're influencing regulation, & how we're operationalizing our values! 🧵huggingface.co/blog/ethics-so…
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Fresh off co-leading a generative AI workshop at #GHC23, Divya shares her advice for the best way to get started in AI: contributing to open source ecosystems like Keras!
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Shocking to see how many men showed up to a women in tech career conference claiming “non-binary” on their GHC registration status, shoving, bullying and bribing the women there
Yet I still get comments all the time “I thought we solved the women in tech issue a long time ago”
Sad to see how low people are willing to go in a tough job market
🤔What do you think we should do?

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We just announced our Call for Artwork! 🎨🤖#ML4CD2023
Machine Learning for Creativity and Design@ML4CDworkshop
Our Call for Artwork is now open! Submit your artwork by Oct 30: neuripscreativityworkshop.github.io/2023/ We welcome submission of artwork that has been created using ML (autonomously or with humans).
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Incredibly cursed research methodology just dropped.
Felix Chopra@FelixChopra
1/ Qualitative interviews offer unparalleled richness but are rarely used in economics. Let's change that! New WP with @Ingar30 uses an AI-driven approach to conducting q qualitative interviews, making them scalable, cheap, and ripe for both qualitative and quantitative analysis!
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Just realized that the @huggingface "all models sorted by downloads" page actually works as a pretty good proxy for "which models are easiest to get working yourself" huggingface.co/models?sort=do…
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A Stanford study revealed that AI detectors are biased against non-native English speakers. themarkup.org/machine-learni…

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Michelle R Carney me-retweet

New from 404 Media: AI-generated mushroom foraging books are all over Amazon. This is not a game—if someone eats the wrong mushroom because of a ChatGPT generated book it is life or death. Amazon removed when 404 Media contacted for comment. 404media.co/ai-generated-m…
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AI and Ethics is putting together a Topical Collection on AI Hype: "The aim of this Topical Collection is to explore diverse perspectives from academia, civil society, and industry on the impact of AI Hype and its ethical implications."
springer.com/journal/43681/…
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This talk is the most complete version of my thinking around Large Language Models to date, including thoughts on personal AI ethics, practical applications and the enormous impact we are already feeling from Llama 2
Video, slides, transcript & links: simonwillison.net/2023/Aug/27/wo…
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We are excited to announce Lilac (@lilac_ai), a new Open Source product to analyze, structure and clean data with AI.
Our mission is to make unstructured data visible, quantifiable, and malleable.
🌸 Announcement blog:
lilacml.com/blog/introduci…
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