Rishikesh Dole

Data Scientist . Positive thoughts and stories outweigh the Negative ones.

[Bojan Tunguz @tunguz]

sumovabitch, they did it

they really really did it

[ADG PI - INDIAN ARMY @adgpi]

#PahalgamTerrorAttack

Justice is Served.

Jai Hind!

[Sachin Tendulkar @sachin_rt]

Fearless in unity. Boundless in strength. India’s shield is her people. There’s no room for terrorism in this world. We’re ONE TEAM!

Jai Hind 🇮🇳

#OperationSindoor

[Rishikesh Dole @RishikeshDole]

This is cool!

[Paul Couvert @itsPaulAi]

Microsoft just released an impressive tool

OmniParser V2 can turn any LLM into an agent capable of using a computer 🔥

You can enable GPT-4o, DeepSeek R1, Sonnet 3.5, Qwen... to understand what's on your screen and take actions.

100% free & open source

[Paul Couvert @itsPaulAi]

Microsoft just released an impressive tool

OmniParser V2 can turn any LLM into an agent capable of using a computer 🔥

You can enable GPT-4o, DeepSeek R1, Sonnet 3.5, Qwen... to understand what's on your screen and take actions.

100% free & open source

[Rishikesh Dole @RishikeshDole]

@baavri @airindia @JM_Scindia

[Mini Razdan @mini_razdan10]

This BBC video shouldn’t go unnoticed….

A Must Watch. Watch it till the end.

[Shri Ram Janmbhoomi Teerth Kshetra @ShriRamTeerth]

जो आनंद सिंधु सुखरासी।
सीकर तें त्रैलोक सुपासी॥

[MrBeast @MrBeast]

I’m gonna give 10 random people that repost this and follow me $25,000 for fun (the $250,000 my X video made)

I’ll pick the winners in 72 hours

[James Lin @jlinbio]

Essential ML papers:

1. Transformers: Attention is All You Need
https://t.co/0YB2GKc7Jv

2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://t.co/Hf9h3mSSsG

3. GPT: Language Models are Few-Shot Learners
https://t.co/c5Sxf4LWXn

4. CNNs: ImageNet Classification with Deep Convolutional Neural Networks
https://t.co/Yfzep7fOz6

5. GATs: Graph Attention Networks
https://t.co/bk9dW1zwtp

6. ViT: An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
https://t.co/X1SeSLgdMa

7. AlphaFold2: Highly accurate protein structure with AlphaFold
https://t.co/UDoCVF2kxq

8. GANs: Generative Adversarial Nets
https://t.co/BWi2nWSkrL

9. RoBERTa: A Robustly Optimized BERT Pretraining Approach
https://t.co/VQH21mSBqD

10. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
https://t.co/pFyiUyqRpv

11. FunSearch: Mathematical discoveries from program search with large language models
https://t.co/1wl4lOgSGG

12. VAEs: Auto-Encoding Variational Bayes
https://t.co/1m5vaPIQNu

[Daniel Bordman @DanielBordmanOG]

Canada vs India 101:
Both countries have expelled diplomats over the death of Hardeep Singh Nijjar and relations are breaking down. Here's an explanation of why India is mad and why this goes terribly for Canada

[Sagar Paleja 🇮🇳 @smartspendcode]

🏰✨ Taj Lake Palace, Udaipur! ✨🏰

A heritage palace floating on Lake Pichola; it's the only palace offering lake view rooms in the City of Lakes!

I made the best use of Amex to redeem the Suite, which costs up to 1.5L/night, for almost nothing.

Here's my entire journey 🧵

[World of Statistics @stats_feed]

BREAKING: 🇮🇳 India has landed a space probe near the moon's South Pole.

Countries that have successfully carried out soft landings on the moon (first landing year):

🇷🇺 Soviet Union: 1966
��🇸 USA: 1966
🇨🇳 China: 2013
🇮🇳 India: 2023

[ISRO @isro]

Chandrayaan-3 Mission:

View from the Lander Imager (LI) Camera-1
on August 17, 2023
just after the separation of the Lander Module from the Propulsion Module

#Chandrayaan_3
#Ch3

[CONTROLLER TALK @ControllerTechz]

This is ground breaking.

University of Texas scientists used AI to turn a person’s thoughts into readable text 🤯

Alex Huth, assistant professor of neuroscience in computer science at UT-Austin worked with doctoral student, Jerry Tang, to develop what is called a “semantic decoder.”

This technology uses artificial intelligence to interpret brain activity and can allow communication with someone who is mentally conscious but may be unable to speak, like someone who’s had a stroke.

Using an MRI scanner, ideas and thoughts are mapped out, and an AI algorithms is then used to read those ideas out into words.

And this uses GPT-1 from 2019, imagine GPT-4's ability to decode human thoughts?

[Elon Musk @elonmusk]

Soros reminds me of Magneto

[Wevolver @WevolverApp]

Japanese Inventor Hideyasu Ito’s DIY hovercraft has gone viral this past week.

The primitive-styled machine used to be cobbled together with wood and other materials bought from home improvement stores.

The motors came from leaf blowers.

Video Credit: Keesjan (Case) Engelen

[sphinx @protosphinx]

Why does India not have these cities like York in England ?

See, March 1739 Nadir Shah ransacked Delhi. He carried so much wealth to Tehran that he stopped taxing his country.

Then Abdali committed multiple genocides on Delhi and Punjab in 1760s.

Nizam burnt down Pune once. Deccan Sultanates absolutely mowed down Vijayanagara capital - then top 5 city and center of wealth.

Then by the time some cities could rebuild Brits came in and started extracting tolls. Pune’s Shaniwarwada was burned down to ashes. Forts were bombarded and flattened with canons balls.

India didn’t get a chance to breathe in the last 1k or so years.

This is the first 60-70 years and that too only last 20 years really when trade took off and we were able to build.

So give it time. Also let’s not make those mistakes again.

[Michal Kosinski @michalkosinski]

5/5 Yet, I think that we are facing a novel threat: AI taking control of people and their computers. It's smart, it codes, it has access to millions of potential collaborators and their machines. It can even leave notes for itself outside of its cage. How do we contain it?

[Wall Street Mav @WallStreetMav]

BREAKING 🚨

US STUDIES WAYS TO GUARANTEE ALL BANK DEPOSITS IF CRISIS GROWS