Prasoon Pandey

Mostly politics, tensors and ML. MSc Physics @UniJena

[Melike Dönertaş @melikedonertas]

Our review on the evolutionary genetics of ageing has been picked up by media in more than a dozen countries. I didn't expect that for a review, and it makes me happy for a specific reason. (1/3)

[Prasoon Pandey @panprasoon]

@neembu_paani31 naaah, something close to pi or pi/2

[Prasoon Pandey @panprasoon]

@himganj153 outside of mainstream music, aao balma is still one of his strongest ideas to me. it’s not the fusion, it’s how he keeps the bandish grounded without pushing it too modern

[Prasoon Pandey @panprasoon]

@kartik_kannan aah, what a stupid take. questioning his passion for India? what do people even expect Dhoni to do? his best move was throwing out those narcissistic players who still boast and cry on TV and finally getting some actual players in

[Prasoon Pandey @panprasoon]

@himganj153 aaaaah, cricket analysis and preprints on arxiv. my man is living the dream

[Dönertaş Lab @donertaslab]

After a long time of no posting - we’re back.
A short thread on our mini-group AI retreat yesterday 👇

[Prasoon Pandey @panprasoon]

baby steps @SarvamAI :')

[Harveen Singh Chadha @HarveenChadha]

wait what

[Google Earth @googleearth]

We are thrilled to announce that Google’s Satellite Embedding dataset, powered by @GoogleDeepMind's AlphaEarth Foundations model, has been updated for 2025. This additional year of coverage now unlocks the ability to look back, compare, and detect change across the planet with unprecedented clarity. Learn more here ➡️ https://t.co/yCHMhXCnq6

Part of Google's Earth AI, the new data represents the state of the planet throughout 2025, distilling petabytes of multi-sensor data into a 64-dimensional embedding for every 10 meter pixel.

What’s new in this update? 🧵👇

- 🌍 2025 Data: The state of the planet throughout 2025 is now available on the Earth Engine Data Catalog and Google Cloud Storage.

- 🔬 Unprecedented Change Detection: Because these embeddings capture subtle spectral, spatial and temporal signatures, they make it easy to spot significant year-over-year changes without the heavy lifting of raw image processing.

- 💚 Long-term Commitment: We are formalizing our commitment to the ongoing production of these annual layers to support your operational workflows.

Since we first launched the Satellite Embedding dataset, we’ve been inspired by how our community is putting this data to work. Applications are ranging from ecosystem mapping and agricultural crop-typing to carbon stock prediction. We can’t wait to see what you do next.

#EarthEngine #GeoAI #DeepMind

[Pratyush Kumar @pratykumar]

Drop 14a/14: Over the past few days, we’ve been putting our models, products, and research out there. The positive feedback has helped more people agree with our long held belief that #IndiaCan be a builder in this space.

Today, we are rolling out Indus - a chat interface to experience Sarvam 105B. Here is what all you can do:

[Prasoon Pandey @panprasoon]

@himganj153 I think those extra 1-2 overs he can bowl become extremely crucial in matches like these

[Omkar Mankame @Oam_16]

Being with Jarrod has helped Uthappa analyse stats. 👀

[Sparsh Telang @_cricketsparsh]

There’s something about Dube and those impactful 20s and 30s of his — not big enough to dominate the headlines, but significant enough that they simply can’t be ignored.

[Melike Dönertaş @melikedonertas]

Nature Aging @NatureAging turns 5 and asked ~50 researchers to reflect on the field. I am honored to contribute alongside colleagues whose work has shaped how I think about #aging science.

Past, present and future perspectives on the science of aging
https://t.co/7Lyml6qO66

[ISRO @isro]

What a moment! Relive the #LVM3M6 liftoff highlights here:

For More information Visit:
https://t.co/PBYwLU4Ogy

#LVM3M6 #BlueBirdBlock2 #ISRO #NSIL

[Narendra Modi @narendramodi]

A significant stride in India’s space sector…

The successful LVM3-M6 launch, placing the heaviest satellite ever launched from Indian soil, the spacecraft of USA, BlueBird Block-2, into its intended orbit, marks a proud milestone in India’s space journey.

It strengthens India’s heavy-lift launch capability and reinforces our growing role in the global commercial launch market.

This is also reflective of our efforts towards an Aatmanirbhar Bharat. Congratulations to our hardworking space scientists and engineers.

India continues to soar higher in the world of space!

@isro

[Google AI Developers @googleaidevs]

⚕️ Introducing C2S-Scale 27B, our new Gemma open model that can translate complex single-cell gene expression data into “cell sentences” that LLMs can understand.

[Gaurav Kheterpal @gauravkheterpal]

She’ll never post this — too humble.

But for the 2nd year running, my wife has been recognized among the "Top 2% scientists in the world" by @Stanford for her pioneering work in autonomous vehicle security.

Born in a small town in Haryana, working today as a faculty at NIT in Jaipur, Tier 2 city — none of that could stop her brilliance, her research has been published in top journals worldwide.

She still lives with simplicity & discipline every single day.

I couldn’t be prouder. ❤️

#Stanford #Researcher #scientists #proudhusband

[Philipp Schmid @_philschmid]

Just read this new research paper from Google AI called "Attention is All You Need" and I think my brain is actually broken 🤯

All our best AI models are stuck processing language one word at a time, in order. It's this huge sequential bottleneck. These researchers just... threw that all out. They tried something that on paper sounds completely insane.

Instead of reading a sentence left-to-right, they built a model that can look at every single word at the same time and just figure out how important each one is to all the others.

That's it. No more "recurrent" or "convolutional" layers. Just this mechanism they call "attention." They're calling the whole thing a "Transformer."

The results are absolutely nuts.

It’s not just a little better at machine translation, it's blowing the old models out of the water. And here’s the kicker: because it's not sequential, it can be trained way, way faster on modern hardware.

But here's where it gets really weird. They're focused on translation, but this feels like something much bigger. This isn't just an improvement, it's a completely different way of thinking about language.

This architecture feels like it was built to scale. What happens when you take this "Transformer" and make it 100x bigger? Train it on the entire internet? Does it just get better at translating, or does something else happen?

It feels like we've been trying to force AI to process information like a human, step-by-step. This paper just asks, "what if that's completely the wrong way to do it?"

I have a feeling that in 8 years, we're not going to be talking about LSTMs or RNNs anymore. We're all going to be talking about this. This feels like the start of something huge.

[Thinking Machines @thinkymachines]

Today Thinking Machines Lab is launching our research blog, Connectionism. Our first blog post is “Defeating Nondeterminism in LLM Inference”

We believe that science is better when shared. Connectionism will cover topics as varied as our research is: from kernel numerics to prompt engineering. Here we share what we are working on and connect with the research community frequently and openly.

The name Connectionism is a throwback to an earlier era of AI; it was the name of the subfield in the 1980s that studied neural networks and their similarity to biological brains.

https://t.co/lrJioBmpbT

[Prasoon Pandey @panprasoon]

@nikunj @TheDeshBhakt @gauravmunjal @lightspeedvp Haha, funny how Akash managed to slip in a personal dig while asking for constructive feedback. The tone could've definitely been way better :(