Tyna Eloundou

[Tyna Eloundou @ThankYourNiceAI]

Huge congratulations to the team @mitchellgordon, @ezhang7423, @SandhiniAgarwal, and all of the incredible folks at OpenAI who supported this work!!

[Tyna Eloundou @ThankYourNiceAI]

No single person or institution should define ideal AI behavior for everyone. 

Today, we’re sharing early results from collective alignment, a research effort where we asked the public about how models should behave by default. 

Blog here:
https://t.co/WT9REAznD7

[Tyna Eloundou @ThankYourNiceAI]

The changes we adopted through this process will soon be reflected in the Model Spec. We’re also sharing our dataset publicly with the research community: https://t.co/53hbDSbEgQ

[Tyna Eloundou @ThankYourNiceAI]

@ghadfield @ayeshacurry @jonimitchell Congratulations Gillian!

[Michiel Bakker @bakkermichiel]

🚨 New paper alert! Excited to share our latest work with the amazing @actuallysoham @jaybaxter and @msaveski introducing Supernotes!

These are LLM-generated @CommunityNotes that synthesize multiple underlying "notes" and are selected by a simulated jury of diverse raters. See more info 👇

[Tyna Eloundou @ThankYourNiceAI]

@leeknowlton @NielsHoven @paulbohm https://t.co/zaeLOndENA !

[Tyna Eloundou @ThankYourNiceAI]

@Miles_Brundage ???? No acronym???

[Tyna Eloundou @ThankYourNiceAI]

@IasonGabriel @GoogleDeepMind Congrats, Ias!

[Michiel Bakker @bakkermichiel]

🚨🚨🚨 VERY excited to share our new paper on how AI can facilitate democratic deliberation, published today in @ScienceMagazine! Together with @mhtessler, @summerfieldlab, and other amazing collaborators at @GoogleDeepMind we've been building the "Habermas Machine"

[Tyna Eloundou @ThankYourNiceAI]

@Miles_Brundage Congrats Miles!! 🎉🎉

[Tyna Eloundou @ThankYourNiceAI]

@ghadfield Congratulations Gillian, they're lucky to have you!

[Amy Zhang @amyxzh]

If you’re attending #chi2024 come check out the work being presented by @SocFuturesLab members and collaborators! See below for four upcoming talks and one workshop paper:

[Joanne Jang @joannejang]

📖 we just shared the model spec, i.e. a “spec” for openai’s models. it’s a work in progress that we’re sharing for early feedback.

it also features profanity & cats, flat earth theory, and why the model says “sorry, i can’t help with that”.

from a product perspective, i’m personally excited about this concept of a model spec for three reasons:

1. there’ll be more clarity on whether something is a policy or rlhf bug

if a model says or does something that you disagree with, was that intended by openai or an rlhf bug? should you yell at @sama or researchers?? jk please don’t yell at researchers

2. principles are easier to debate and get feedback on, vs. hyper-specific screenshots or abstract feel-good statements

it’s easy for most people to agree on “models should be [adjective]”, but the more important questions lie deeper in thorny scenarios: how should the model engage with someone who claims that the earth is flat?

the model spec introduces language we can use to debate model behavior questions: objectives, rules, defaults, with difficult cases we’ve encountered through real-world use. i’m hoping that these new concepts will enable more nuanced and important discussions.

3. model spec feedback will help us steer our efforts in steerability

an explicit non-goal for the model spec is to reach consensus on a one-size-fits-all model. that will never happen. we want to give users and developers as much control as possible while staying within hard boundaries that people understand.

hearing feedback on where & how everyone wants to steer the model is helpful in (a) designing a more rigorous survey process and (b) informing the research and product roadmap.

a lot of people worked on this — both the model spec and all the thinking that led up to it — and they’re all genuinely excited to hear from you on the hardest questions. so please don’t be shy and tell us your thoughts!

[Joe Edelman 🥞 @edelwax]

“What are human values, and how do we align to them?”

Very excited to release our new paper on values alignment, co-authored with @ryan_t_lowe and funded by @openai.

📝: https://t.co/iioFKmrDZA

[David Ifeoluwa Adelani 🇳🇬 @davlanade]

Thank you @CIFAR_News , it's official.
I am happy to announce that I have been awarded a Canada CIFAR AI Chair 🥳🎉

I am very grateful to CIFAR, @Mila_Quebec and @mcgillu