Director of Applied Science @GoogleAI: #ClimateChange, #AIforScience, #QuantumComputing, @GoogleColab johnplatt@sigmoid.social
Seattle, Washington
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We've shown (in a live trial) that we have a statistically significant method for avoiding contrails. blog.google/technology/ai/ai… #climatechange
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John Platt retweeted
Electricity use at data centers did NOT skyrocket.
In fact, despite massive growth in computation and data storage provided, total electricity use barely budged.
#EfficiencyFTW
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John Platt retweeted
✨ Today we're launching AI coding features to our Pro+ subscribers located in the United States, including natural language to code generation, code completion, and an integrated chatbot. We'd love to hear from you with positive examples of AI coding in Colab: please share! 1/
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🥳 We've launched support for Google children's accounts! Children under the age of 13 are now able to access Colab for learning Python programming and machine learning. 🧐
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Looks like a very sensible way of encoding v long contexts in transformers with 2 length scales of learning arxiv.org/abs/2305.07185
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Nicely cleaning up an ugly thresholding hack in diffusion models.
Presenting Reflected Diffusion Models w/ @StefanoErmon!
Diffusion models should reverse a SDE, but common hacks break this. We provide a fix through a general framework.
Arxiv: arxiv.org/abs/2304.04740
Github: github.com/louaaron/Reflecte…
Blog: aaronlou.com/blog/2023/refle…
🧵(1/n)
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Is Elden Ring an existential risk to humanity? That is the question I consider in my new blog post. Yes, it is a comment on the superintelligence/x-risk debate. Read the full thing here:
togelius.blogspot.com/2023/0…
Or follow along for a few tweets first, if you prefer.
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From a techno-economic grid study, fusion needs to reach relatively modest capital cost goals to take off.
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I got really excited that the LLaMA paper calculates and reports their carbon footprint! 🦙🌬️🌎
But upon looking at the paper itself, it has this table, which completely misconstrues the emissions of OPT and BLOOM, while not actually reporting LLaMA's own.
How? A thread 🧵
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We’re proud to share promising new research published in @SpringerNature’s @NatureComms journal. Along with our partners at @NIFSplasma in Japan, TAE has conducted the first-ever hydrogen-boron fusion experiments in a magnetically confined fusion plasma. rdcu.be/c52Ym
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First step down the road to error-correxted quantum computing quantumai.google/qecmileston…
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A review of the exciting work in 2022 on natural science at Google Research ai.googleblog.com/2023/02/go…
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Teaching students how to use generative AI as a tool oneusefulthing.substack.com/…
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For DECADES we've assumed the surface code uses 4 couplers per qubit. But change perspective a bit, and it's clear it works just as well with 3 couplers per qubit. Same distance, same # of gate layers, same footprint.
Also 23 other circuit variations: arxiv.org/abs/2302.02192
Forget what you know about surface code circuits: arxiv.org/abs/2302.02192
Our new work harnesses the time-dynamics of circuits to do the surface code on a hex-grid, use ISWAP gates, and move the patch. These circuits relax hardware requirements without reducing performance. 1/9
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People are asking if there are alternatives to RL in RLHF. Yes, imitation with DAGGER (tutorial: ri.cmu.edu/publications/an-i… ). The user provides feedback with corrections, e.g. when the agent says “that” the user tells the agent that instead of saying “that”, it should say “this”.
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I've used Vizier: it's quite robust. Recommended.
I'm super excited we've open sourced Vizier! Vizier is Google's scaled blackbox optimization system. It has had a huge impact internally across many products and has helped tune millions of ML models at Google! We hope this is valuable to the broader community.
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Hinman Glacier in Washington state: gone kuow.org/stories/rip-washing…
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Adding alkalinity to the ocean surface can absorb CO2, but the rate of CO2 absorption depends on where you add it. Results from an ocean GCM: bg.copernicus.org/articles/2… #CDR
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John Platt retweeted
Transformers are all the rage today. But neither DALLE nor Stable Diffusion uses Transformer for image generation. Instead, they rely on a 7-year-old, Jurassic-era neural architecture. Why? 🤷🏾♀️⁉️ It’s finally time for Transformer and Diffusion to join forces! Quick 🧵👇:
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