John Platt

Director of Applied Science @GoogleAI: #ClimateChange, #AIforScience, #QuantumComputing, @GoogleColab

[email protected]

[John Platt @johnplattml]

Now at [email protected]

[John Platt @johnplattml]

@SebastianSeung It was super interesting and confusing at the same time!

[John Platt @johnplattml]

@msftksrini We have a methods paper just posted to arxiv: https://t.co/2vSxRc3mBq .. but haven't published the results from the trial yet

[John Platt @johnplattml]

We've shown (in a live trial) that we have a statistically significant method for avoiding contrails. https://t.co/pq7wP9g8Xn #climatechange

[Erik Brynjolfsson @erikbryn]

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

[Colaboratory @GoogleColab]

✨ 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/

[Colaboratory @GoogleColab]

🥳 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. 🧐

[John Platt @johnplattml]

@jenniferchayes That's great! Congratulations!

[John Platt @johnplattml]

Looks like a very sensible way of encoding v long contexts in transformers with 2 length scales of learning https://t.co/pGncCos0K6

[John Platt @johnplattml]

Nicely cleaning up an ugly thresholding hack in diffusion models.

[Aaron Lou @aaron_lou]

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: https://t.co/5ov4mm3rU4
Github: https://t.co/HlagPOGJeU
Blog: https://t.co/glGw3DuTEe

🧵(1/n)

[Julian Togelius @togelius]

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:
https://t.co/KNE9yxpStQ
Or follow along for a few tweets first, if you prefer.

[John Platt @johnplattml]

From a techno-economic grid study, fusion needs to reach relatively modest capital cost goals to take off.

[Sasha Luccioni, PhD 🦋🌎✨🤗 @SashaMTL]

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 🧵

[TAE Technologies @TAE]

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. https://t.co/jAweLPXAxU

[John Platt @johnplattml]

First step down the road to error-correxted quantum computing https://t.co/ucZ9r09k0I

[John Platt @johnplattml]

A review of the exciting work in 2022 on natural science at Google Research https://t.co/FIMFRvsxCf

[John Platt @johnplattml]

Teaching students how to use generative AI as a tool https://t.co/qhT9UK9ozu

[Craig Gidney @CraigGidney]

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: https://t.co/GeBVCaJbro

[Nando de Freitas @NandoDF]

People are asking if there are alternatives to RL in RLHF. Yes, imitation with DAGGER (tutorial: https://t.co/aEMx5xDIOU ). 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”.

[John Platt @johnplattml]

I've used Vizier: it's quite robust. Recommended.

[Zoubin Ghahramani @ZoubinGhahrama1]

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.