Ailin Deng retweeted
Introducing Muse Wonder, our new family of frontier models with state of the art performance for personal and professional agentic work.
Ailin Deng retweeted
a week after launch, muse is now the #1 app in the App Store!
it’s been SO exciting to see how much y’all have done with muse. we can’t wait to do more together!
Ailin Deng retweeted
Introducing Muse, the personal agent that understands your goals and works 24/7 to get things done for you.
Ailin Deng retweeted
Muse Spark 1.3 is rolling out today with frontier performance almost too cheap to meter. This is the biggest jump we've made so far on coding and agentic work. Try it in Muse Code and our API.
Next up 🍉 and Muse Spark open weights releases coming soon.
Ailin Deng retweeted
Today we're also opening the weights for Muse Glimmer, a great 30B parameter dense model that can run locally. Soon we'll also release the weights for Muse Spark 1.2, our latest foundation model. Meta is a strong supporter of open source and I'm proud of these releases. Congrats to @alexandr_wang and the MSL team for all your great work on these models.
Ailin Deng retweeted
I was laid off by Amazon AGI today, along with many of my colleagues.
My job was deciding which data points matter for pretraining. Turns out I was the one that got filtered out.
At 1pm, the reminder for our weekly project sync still went off — for a project that no longer has a team. We could only exchange a smile that needed no words.
More seriously: everything I've worked on has been about data, data curation pipeline, data reordering, and data uncertainty. I’m actively looking for new opportunities, including pretraining, trustworthy LLMs, safety, and LLM efficiency — please reach out if you have any openings!
To my manager and teammates: thank you for all the help and support you've given me along the way — I learned so much, and I loved the work we did together. It was a great journey, and I know even better ones are ahead for each of you.
Ailin Deng retweeted
1/ today we're releasing muse spark, the first model from MSL. nine months ago we rebuilt our ai stack from scratch. new infrastructure, new architecture, new data pipelines. muse spark is the result of that work, and now it powers meta ai. 🧵
Ailin Deng retweeted
(1) Today we're releasing Muse Spark 1.1 -- a strong agentic and coding model at a very low price. It's available through our new Meta Model API and in Meta AI.
Ailin Deng retweeted
I wanted to share a bunch of my favorite hidden and under-utilized features in Claude Code. I'll focus on the ones I use the most.
Here goes.
Ailin Deng retweeted
I was laid off by Meta today. As a Research Scientist, my work was just cited by the legendary @johnschulman2 and Nicholas Carlini yesterday.
I’m actively looking for new opportunities — please reach out if you have any openings!
Ailin Deng retweeted
I just pushed my color-coded latex table script to github: github.com/jonbarron/tabiliz…
Every table I've made since grad school has been procedurally generated. I *highly* recommend doing this --- if you copy-paste and manually-bold numbers, you will eventually make a costly mistake.
Ailin Deng retweeted
Do Machine Learning Models Memorize or Generalize?
pair.withgoogle.com/explorab…
An interactive introduction to grokking and mechanistic interpretability w/ @ghandeharioun, @nadamused_, @Nithum, @wattenberg and @iislucas
Ailin Deng retweeted
Model calibration can be estimated by measuring agreement between its latent space and a foundation model’s latent space. Incorporating this agreement term improves model confidence estimation.
arxiv.org/abs/2305.01481
Ailin Deng retweeted
Sooo I wrote a 13,000-word lecture note on data distribution shifts, monitoring, and causes of ML failures.
This was very difficult for me to write, because academia & industry literature use very different terminology.
Feedback appreciated 🙏
docs.google.com/document/d/1…
Ailin Deng retweeted
Cold Emailing is an effective tool for getting in touch with people in academia.
I have written over 100 emails to Professors at top universities around the world with a reply rate > 80%
A thread on writing effective cold emails [with examples]👇🧵 @OpenAcademics @PhDVoice
