DataRater: can you automatically+continuously learn which examples will help the model the most? Fun working on this w/ awesome set of co-authors: @luisa_zintgraf
, @dancalian
, @greg_far
, @iurii_kemae, @matteohessel
, @shar_jeremy
, @junh_oh
, András György, Tom Schaul, @hado
, &
@jeffdean
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DataRater: Automatic Continuous Learning for Model Training Examples
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Neural Networks Tolerate Mantissa Bit Reduction for Bandwidth Savings
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Rough thinking: neural nets are very tolerant of noise, so chopping off mantissa bits is akin to small amounts of noise. So I'd rather lose nearly all mantissa bits before losing exponent bits. So tried dropping 16 mantissa bits & model trained just fine w/ half the bandwidth.
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Google Reports Strong Quarterly Growth Driven by Gemini Models and TPU
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Great to see major increases in many metrics (love all the usage of the Gemini app!), many of them driven by Gemini models and our TPU hardware. Congrats to all Googlers on a great quarter!
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Jeff Dean Praises Team Pushing Machine Learning Boundaries
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I love working with members of this team, who are pushing the boundaries of machine learning!
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Google Earth AI Enables Multi-Modal Earth Analysis and Visualizations
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Google Earth AI gives a multi-modal view of the earth that enables all kinds of interesting analyses and visualizations.
— Jeff Dean (@JeffDean) 23 octobre 2025
Read more about how Google and our external partners are using this at:https://t.co/NizMhs2mMl
Brief video: https://t.co/0WJCMRKKjF https://t.co/JdGhWDsDogGoogle Earth AI gives a multi-modal view of the earth that enables all kinds of interesting analyses and visualizations. Read more about how Google and our external partners are using this at: https://
blog.google/technology/res
earch/new-updates-and-more-access-to-google-earth-ai/
… Brief video: https://
youtu.be/UZ4RaLGDXI4 -
Progress toward practical and functional quantum computers
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Another step along the path to practical quantum computers!
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Veo 3.1 Shows Major Quality Improvements in Video Generation
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Great to see the major jump on quality between our Veo 3.0 and Veo 3.1 models. High quality video generation will unlock all kinds of creative uses!
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ML Improves Computer Systems Through VM Lifetime Prediction
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Another great example of how ML can be used to improve computer systems, by learning how the system is actually being used (in this case by predicting VM lifetimes for optimizing their placement). Nice work, Pratik Worah and @martin_maas and coauthors!
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Congratulations to Reflection AI and Achowdhery
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Congratulations, @achowdhery and everyone else at @reflection_ai
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New Gemini Enterprise capabilities for contextual data and agents
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Today we're rolling out a whole slew of new capabilities for using contextual data relevant to you and your organization and for building and using agent-based systems on top of Gemini and @googlecloud!
— Jeff Dean (@JeffDean) 9 octobre 2025
Learn more at:https://t.co/xLr0HK3PHE
Using Gemini and agents to extract… pic.twitter.com/nMikGSnGFSToday we're rolling out a whole slew of new capabilities for using contextual data relevant to you and your organization and for building and using agent-based systems on top of Gemini and @googlecloud
! Learn more at: https://
cloud.google.com/blog/products/
ai-machine-learning/introducing-gemini-enterprise
… Using Gemini and agents to extract