💬🧠Are you a researcher interested in gaining a set of AI-generated diverse feedback on your research paper or grant proposal? . If you’re interested, please fill out this brief screening survey for our study:

Check out Jiaju’s really solid work!.

Join millions who have switched to Grok.

RT @shahanmemon: For people justifying this incident by claiming the problem of research misconduct is particularly bad in China. Here are….

How do we evaluate LLM agents in complex scientific research? Check out BLADE ⚔️to learn how we balance flexibility (include open-ended tasks) and rigor (provide a good ruler for the community). Months of dedication finally come to life. This can never happen without its people.

We're looking for more participants! If you're a researcher interested in getting a set of synthetic diverse feedback on your work, please sign up for our study. 🫶.

Seeing this review is like “thank you, but now what…?”. This is why we can’t solely rely on human feedback. If you also have strong opinions on this OR if you’re curious to see the alternatives (to human reviewers), you can sign up for my study:

⌚️Total time commitment: ~1.5h .💰Compensation: $30 upon completion. If you’re interested, please fill out the screening survey. For questions, please contact Ruoxi Shang at rxshang@uw.edu.

Participation involves:.1. Sharing your proposal/paper draft and existing reviews.2. Reading through AI-generated reviews.3. Completing a web-based review assessment task and a follow-up interview.

This study has been approved by UW IRB.

We are seeking academic researchers who have experience receiving reviews for their work AND are interested in receiving additional AI-generated feedback.

We are researchers at the University of Washington conducting a study to explore how AI can be leveraged to generate diverse feedback on academic research papers and proposals.

RT @vykthur: I coined a term for this - "lazy-LLMing" : .> when developers make their solutions less reliable by unnecessarily adding fail….

3rd day into my internship:.Cool people: building crazy scifi projects with gpt.Me: figuring out how to use Windows.

I will be doing cool things this summer at MSR with the fxData team. We are envisioning how to empower information workers to accomplish data-driven goals with LLMs. 📊 Excited to work with the team and my amazing mentor @sdrucker ✨.

The UX research landscape is changing and it’s fascinating to see those who are pushing forward. LLMs are meant to complement and augment the creative process. We need to move away from the notion of replacement and embrace the idea of co-creation.

Can we all just take a step back and rethink how to design around privacy concerns and informed consent before everyone rushes to make everything so "smart"?.

Can we all just take a step back and rethink how to design around privacy concerns and informed consent before everyone rushes to make everything so "smart"?.

I would probably never learn about the meeting assistant feature until it crept into my calendar and joined my meeting as “Ruoxi's . This is utterly scary and unacceptable.

And apparently this is not an isolated incident:

My initial reaction was that someone hacked into my account, joined the meeting, recorded the meeting, and uploaded to But realizing that it's all automatic and "intelligent" somehow made this even creepier.