Our team @GoogleDeepMind is hiring 3 PhD Student Researchers for 2027 to work on exciting, cutting-edge projects focused on understanding, evaluating, and aligning frontier AI agents and multi-agent systems. Signal your interest here forms.gle/2onGFBnyk7MaCd… and spread the word!
11
28
571
59,384
@GoogleDeepMind Note: To ensure fairness and equal review for all candidates, our team makes hiring decisions jointly. Please use the interest form **rather than emailing me directly**, as direct emails will not be reviewed.
0
0
3
157
Zi Wang, Ph.D. retweeted
Introducing Gemini 3.8 Flash, another upgrade in under a month! And the new 3.8 Flash Cyber pushes the frontier of cyber defense. Relentless progress 🚀 More on the models & our cyber security work in the blog - happy building! blog.google/innovation-and…
Introducing Gemini 3.8 Flash, another jump in Gemini's agentic + coding capabilities, and our 3rd updated Flash model in only 6 weeks...
This model has been a ton of fun to work with, excited to see what you all think!
213
212
3,330
210,029
Thrilled to share our latest work! Do LLMs actually know what to ask when they don't have all the facts? Spoiler: they usually stop asking way too early. Check out the details in the thread below! 👇 Congrats @_yepeng and team for the release!
New preprint! Do LLMs know what to ask, and when?
Website: zitniklab.hms.harvard.edu/MT-InfoSeek
Paper: arxiv.org/abs/2608.14808
(1/n)
0
2
14
1,438
Zi Wang, Ph.D. retweeted
New preprint! Do LLMs know what to ask, and when?
Website: zitniklab.hms.harvard.edu/MT-InfoSeek
Paper: arxiv.org/abs/2608.14808
(1/n)
Website: zitniklab.hms.harvard.edu/MT-InfoSeek
Paper: arxiv.org/abs/2608.14808
(1/n)
4
2
8
1,817
Zi Wang, Ph.D. retweeted
When an LLM is underperforming, we tweak the prompt. Why not do the same for video models solving visual reasoning tasks?
Visual prompt engineering changes the start frame appearance but not the task, improving performance.
📄 arxiv.org/pdf/2607.25537
🌐 visual-prompt-engineering.github.io
Visual prompt engineering changes the start frame appearance but not the task, improving performance.
📄 arxiv.org/pdf/2607.25537
🌐 visual-prompt-engineering.github.io
2
5
16
2,393
Zi Wang, Ph.D. retweeted
We believe AI can be a dedicated research partner to help discover the next breakthrough.
Enter Co-Scientist: our latest Gemini-based multi-agent system that can generate, debate and evolve novel hypotheses for complex scientific problems 🧵
Enter Co-Scientist: our latest Gemini-based multi-agent system that can generate, debate and evolve novel hypotheses for complex scientific problems 🧵
146
321
1,629
204,156
Zi Wang, Ph.D. retweeted
We’ve released TECCI, a new dataset focusing on challenging image edits! (Including visual puzzles and much more)
Like DOCCI, all images are donated to the public domain, so you get the bytes with the data. See Aishwarya’s thread for more details and pointers.
Like DOCCI, all images are donated to the public domain, so you get the bytes with the data. See Aishwarya’s thread for more details and pointers.
Releasing a new image editing benchmark -- TECCI: Tricky Edits of Collected and Curated Images.
Paper: arxiv.org/abs/2606.01213
Project website: google-deepmind.github.io/tecci
0
6
15
2,850
Check out Proactive Co-Creator on
@GoogleAIStudio , a human-AI belief alignment demo I vibe coded: aistudio.google.com/apps/bundled/p…
🧠 See & edit the AI's uncertainty via belief graph. It asks clarifying questions before creating!
📷 Try Image ➔ Story ➔ Video. You can even remix it!
@GoogleAIStudio , a human-AI belief alignment demo I vibe coded: aistudio.google.com/apps/bundled/p…
🧠 See & edit the AI's uncertainty via belief graph. It asks clarifying questions before creating!
📷 Try Image ➔ Story ➔ Video. You can even remix it!
2
4
13
930
Music by Lyria 3. Research Showcase: zi-wang.com/human-ai/
Relevant paper:
✨ Proactive Agents & Belief Alignment arxiv.org/abs/2412.06771 with @MeeraHahn, Wenjun Zeng, @NithishKannen, Rich Galt, @BadolaKartikeya , @_beenkim
Relevant paper:
✨ Proactive Agents & Belief Alignment arxiv.org/abs/2412.06771 with @MeeraHahn, Wenjun Zeng, @NithishKannen, Rich Galt, @BadolaKartikeya , @_beenkim
1
1
2
394
@MeeraHahn @NithishKannen @BadolaKartikeya @_beenkim We've extended the belief graph to an even cooler idea: Atomic Concept Edits. Check out arxiv.org/abs/2602.00092 joint work with @NehaKalibhat @anonymani0 @_beenkim et al!
0
0
2
141
Zi Wang, Ph.D. retweeted
A decade ago in Korea, AlphaGo showed AI’s potential.
Together with the Korean government, we’re now looking at how this technology can help accelerate scientific discovery and create new opportunities for economic growth across the region. 🇰🇷
Find out more → goo.gle/4wbqUbJ
Together with the Korean government, we’re now looking at how this technology can help accelerate scientific discovery and create new opportunities for economic growth across the region. 🇰🇷
Find out more → goo.gle/4wbqUbJ
40
169
800
116,531
I'll present our ACE paper @aistats_conf #Morocco this Sunday, on behalf of @NehaKalibhat @anonymani0 @prasNLP @_beenkim et al.
ACE has been a super useful tool for us to explore prompts and gain critical insights on model behavior. Code open-sourced! github.com/google-deepmin…
ACE has been a super useful tool for us to explore prompts and gain critical insights on model behavior. Code open-sourced! github.com/google-deepmin…
Thrilled to share that our paper on "Interpreting and Controlling Model Behavior via Constitutions for Atomic Concept Edits" has been accepted at AISTATS 2026! 🚀🚀
Read more about how input mutations can be mapped to interpretable behavioral insights.
arxiv.org/abs/2602.00092
🧵
0
5
15
1,945
Zi Wang, Ph.D. retweeted
Evaluation shouldn't block the progress of AGI development.
We’re open-sourcing ProEval, a new framework to scale GenAI development without the massive price tag.
💰100x cost reduction
🎯 <1% error margin
🚀 Read the full @GoogleDeepMind tech report here:
We’re open-sourcing ProEval, a new framework to scale GenAI development without the massive price tag.
💰100x cost reduction
🎯 <1% error margin
🚀 Read the full @GoogleDeepMind tech report here:
Evaluating GenAI is too slow and expensive.
Our new paper introduces ProEval, achieving 8-65x fewer samples needed for 1% accuracy!
It uses Bayesian quadrature to efficiently estimate model performance and catch failure cases early. More in arxiv.org/abs/2604.23099
0
2
5
1,505
Evaluating GenAI is too slow and expensive.
Our new paper introduces ProEval, achieving 8-65x fewer samples needed for 1% accuracy!
It uses Bayesian quadrature to efficiently estimate model performance and catch failure cases early. More in arxiv.org/abs/2604.23099
Our new paper introduces ProEval, achieving 8-65x fewer samples needed for 1% accuracy!
It uses Bayesian quadrature to efficiently estimate model performance and catch failure cases early. More in arxiv.org/abs/2604.23099
3
1
22
2,796
Check out our open-sourced code and data here! github.com/google-deepmin…
Joint work with my amzing collaborators Yizheng Huang, Wenjun Zeng and Aditi Kumaresan
Joint work with my amzing collaborators Yizheng Huang, Wenjun Zeng and Aditi Kumaresan
0
1
2
409
Fresh off arXiv! 🚀 We’re using Atomic Concept Edits as powerful exploration strategies to build rulebooks for model behavior shifts when concepts are manipulated. A new framework for adversarial steering and failure discovery! arxiv.org/pdf/2602.00092
See you at AISTATS 26!
See you at AISTATS 26!
Thrilled to share that our paper on "Interpreting and Controlling Model Behavior via Constitutions for Atomic Concept Edits" has been accepted at AISTATS 2026! 🚀🚀
Read more about how input mutations can be mapped to interpretable behavioral insights.
arxiv.org/abs/2602.00092
🧵
0
1
9
1,194