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Mikayel Samvelyan

@samvelyan.com

Research Scientist @ Google DeepMind. Previously Meta (FAIR), Reddit, PhD UCL, MSc Oxford. samvelyan.com

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Latest posts by Mikayel Samvelyan @samvelyan.com

πŸ“ Role-Specific Google Form: forms.gle/HpEXzNxuqMeJ...

πŸ’Ό Official Google Careers Application: www.google.com/about/career...

11.11.2025 11:45 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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I’m hiring a Student Researcher at Google DeepMind. This research role centers on topics of open-ended self-improvement and discovery with LLM agents.

πŸ“ Location: London
πŸ—“οΈ Duration: 6 months, 100%
πŸš€ Start date: June or July 2026

Apply now using the links below πŸ‘‡

11.11.2025 11:45 πŸ‘ 5 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0
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Hello all! πŸ‘‹ 🚨 New Preprint Alert! 🚨

Code World Models for General Game-Playing. β™ŸοΈπŸŽ² ♣️β™₯️♠️♦️

I am pleased to announce our new paper, which provides an extremely sample-efficient way to create an agent that can perform well in multi-agent, partially-observed, symbolic environments!

🧡 1/N

09.10.2025 19:27 πŸ‘ 54 πŸ” 9 πŸ’¬ 2 πŸ“Œ 4
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Can AI agents adapt zero-shot, to complex multi-step language instructions in open-ended environments?

We present MaestroMotif, a method for skill design that produces highly capable and steerable hierarchical agents.

Paper: arxiv.org/abs/2412.08542
Code: github.com/mklissa/maestromotif

04.02.2025 19:22 πŸ‘ 21 πŸ” 6 πŸ’¬ 1 πŸ“Œ 1
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Introducing 🧞Genie 2 🧞 - our most capable large-scale foundation world model, which can generate a diverse array of consistent worlds, playable for up to a minute. We believe Genie 2 could unlock the next wave of capabilities for embodied agents 🧠.

04.12.2024 16:01 πŸ‘ 234 πŸ” 60 πŸ’¬ 15 πŸ“Œ 30

Do you know what rating you’ll give after reading the intro? Are your confidence scores 4 or higher? Do you not respond in rebuttal phases? Are you worried how it will look if your rating is the only 8 among 3’s? This thread is for you.

27.11.2024 17:25 πŸ‘ 77 πŸ” 20 πŸ’¬ 4 πŸ“Œ 3

Just a heads up to everyone: @deep-mind.bsky.social is unfortunately a fake account and has been reported. Please do not follow it nor repost anything from it.

25.11.2024 23:24 πŸ‘ 82 πŸ” 34 πŸ’¬ 9 πŸ“Œ 3

Your LLM shall not pass! πŸ§™β€β™‚οΈ

... unless it's really good in reasoning and games!

Check out this new amazing benchmark BALROG πŸ‘Ύ from @dpaglieri.bsky.social and team πŸ‘‡

21.11.2024 16:47 πŸ‘ 6 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0
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Google DeepMind Starter Pack Join the conversation

For no particular reason, I really like these starter packs:

Google DeepMind: go.bsky.app/GZ4hZzu
Theoretical CS: go.bsky.app/6A6GRSi
ML Theory: go.bsky.app/21nFz12
Differential Privacy: go.bsky.app/A7ABG83

21.11.2024 02:52 πŸ‘ 79 πŸ” 17 πŸ’¬ 8 πŸ“Œ 3

How do LLMs learn to reason from data? Are they ~retrieving the answers from parametric knowledge🦜? In our new preprint, we look at the pretraining data and find evidence against this:

Procedural knowledge in pretraining drives LLM reasoning βš™οΈπŸ”’

πŸ§΅β¬‡οΈ

20.11.2024 16:31 πŸ‘ 854 πŸ” 138 πŸ’¬ 36 πŸ“Œ 24

Wow, thanks so much and massive congratulations to you too, Dr Eimer. πŸ˜‰

What a coincidence, PhD twins it is! Clearly the universe wanted double the celebration. We should celebrate every year on Nov 18. πŸŽ‰

20.11.2024 18:37 πŸ‘ 2 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

Thanks Marc!

20.11.2024 13:03 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Now that @jeffclune.bsky.social and @joelbot3000.bsky.social are here, time for an Open-Endedness starter pack.

go.bsky.app/MdVxrtD

20.11.2024 07:08 πŸ‘ 105 πŸ” 32 πŸ’¬ 16 πŸ“Œ 5

Thank you, Steph!

19.11.2024 22:06 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Thanks Manfred!

19.11.2024 22:06 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

I am happy to share that I successfully defended my PhD thesis yesterday! πŸŽ“

This journey has been nothing short of extraordinary, and I’m incredibly grateful to everyone who has been a part of it. πŸͺ‡

19.11.2024 15:31 πŸ‘ 16 πŸ” 0 πŸ’¬ 2 πŸ“Œ 0

Lets get the multi-agent learning community started up here: go.bsky.app/9gsefkW

13.11.2024 22:45 πŸ‘ 62 πŸ” 12 πŸ’¬ 5 πŸ“Œ 0