📣 Announcing a second, different job posting from yesterday's.
The @GoogleDeepMind Autonomous Agents team is seeking to hire a Research Scientist to work on established projects on sample efficient learning and robust self-improvement. Details and link below. [1/5]
📢 The Autonomous Agents team at @GoogleDeepMind is seeking to hire one research scientist to work on human-centric reward modelling and learning from human interaction, as part of an established and successful line of research projects. Link at the end of this thread. [1/5]
In the limit, what's important is our ability to adapt.
What is a good recipe for teaching agents to adapt on-the-fly?
We introduce two meta-learning for LLMs papers written with @JonnyCoook at @GoogleDeepMind.
This is research from last year we can finally share 🧵👇
Can AI reliably judge itself? The success of RL hinges on good verifications. We're hiring an intern to investigate a key AI challenge: the limits of current models as judges for complex, open-ended tasks where systematic verification is difficult. DM if you are interested!
Can AI reliably judge itself? The success of RL hinges on good verifications. We're hiring an intern to investigate a key AI challenge: the limits of current models as judges for complex, open-ended tasks where systematic verification is difficult. DM if you are interested!
🚨 I’m hosting a Student Researcher @GoogleDeepMind!
Join us on the Autonomous Assistants team (led by @egrefen ) to explore multi-agent communication—how agents learn to interact, coordinate, and solve tasks together.
DM me for details!
Our team is hiring! We are working on improving the social intelligence of the smartest models out there.
Perks include: working with a diverse team of creative individuals (such @SianGooding@jingling_li, naming those on X)
One week left to apply 👇
Our team in London is hiring! If you want to come work with a wonderful group of researchers on investigating the frontiers of autonomous open-ended agents that help humans be better at doing things we love, come have a look. Link in post below 👇
Today we introduce an AI co-scientist system, designed to go beyond deep research tools to aid scientists in generating novel hypotheses & research strategies. Learn more, including how to join the Trusted Tester Program, at https://t.co/1eqmTTZOLr
How to provably solve contextual goal-oriented problems (like controlling a robot via language cmd) using offline data? We present a very neat solution CODA, without the need of reward learning! Check out our poster tomorrow #NeurIPS2024 W Ballroom A-D #6206 (12/12, 11am-2pm)
⚡️ Excited to share that I am starting an AI+Education company called Eureka Labs.
The announcement:
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We are Eureka Labs and we are building a new kind of school that is AI native.
How can we approach an ideal experience for learning something new? For example, in the case of physics one could imagine working through very high quality course materials together with Feynman, who is there to guide you every step of the way. Unfortunately, subject matter experts who are deeply passionate, great at teaching, infinitely patient and fluent in all of the world's languages are also very scarce and cannot personally tutor all 8 billion of us on demand.
However, with recent progress in generative AI, this learning experience feels tractable. The teacher still designs the course materials, but they are supported, leveraged and scaled with an AI Teaching Assistant who is optimized to help guide the students through them. This Teacher + AI symbiosis could run an entire curriculum of courses on a common platform. If we are successful, it will be easy for anyone to learn anything, expanding education in both reach (a large number of people learning something) and extent (any one person learning a large amount of subjects, beyond what may be possible today unassisted).
Our first product will be the world's obviously best AI course, LLM101n. This is an undergraduate-level class that guides the student through training their own AI, very similar to a smaller version of the AI Teaching Assistant itself. The course materials will be available online, but we also plan to run both digital and physical cohorts of people going through it together.
Today, we are heads down building LLM101n, but we look forward to a future where AI is a key technology for increasing human potential. What would you like to learn?
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@EurekaLabsAI is the culmination of my passion in both AI and education over ~2 decades. My interest in education took me from YouTube tutorials on Rubik's cubes to starting CS231n at Stanford, to my more recent Zero-to-Hero AI series. While my work in AI took me from academic research at Stanford to real-world products at Tesla and AGI research at OpenAI. All of my work combining the two so far has only been part-time, as side quests to my "real job", so I am quite excited to dive in and build something great, professionally and full-time.
It's still early days but I wanted to announce the company so that I can build publicly instead of keeping a secret that isn't. Outbound links with a bit more info in the reply!
I recently paid off my undergrad student loan from Bryn Mawr College, which had a 0% interest rate for nearly 11 years. I am deeply grateful for all the educational opportunities I've had over the years, and I still recall one of my CS professors joking that our first million was his, often as an excuse to buy us meals. Education should be accessible to everyone, and I look forward to giving back once I reach that first financial milestone.
@esther_confused @quinn88000121 Good question! We believe that the most natural date actually happens outside a dating app. The app is created to help people connect more deeply and authentically with others, which can be a place to find dates, friends, or even cofounders!