Krish Shankar

This is from a plaque that hung in our mess in XLRI- words written by Max Ehrman. I always marvel at its timeless counsel! Truly inspires me!

The NHRD national conference this year is in Chennai. Do check it out. Excellent topics and speakers, lots we can learn! @NHRDN

@GautamGhosh Thanks very much Gautam 🙏🏽

@kshankar21 wishing you a very happy birthday!!

Meet your company’s new HR reps: AI agents f-st.co/TspDJRe

"If you believe you are going to be lucky, you go about your business with a smile, take disaster with a smile, start afresh with a smile. To do that is to be in the way of happiness." ~A.A.Milne #StPatricksDay

@kshankar21 talks of the real job of leaders- that of building 'hi-learning' teams thecrossmentors.com/post/the-leade…

Here is presentation I recently made on the impact of AI and how HR is going to be at the heart of this AI led transformation! Would love to hear your views linkedin.com/posts/krish-sh…

@GautamGhosh Thanks GG

@kshankar21 fyi 🙂

"I propose this evening to speak to you on a new kind of radiation or light emission from atoms and molecules." - CV Raman speaking #OTD in 1928. He was awarded the #NobelPrize for the Raman effect. Learn more: bit.ly/2tqCvFA

This is just so cute and touching.

What a race! Kimi Antonelli, the youngest polesitter in F1 history, takes his maiden win.

Sports gives us these magical moments!

What a goal! Magical Max!

@GautamGhosh brace yourself for leadership lessons from India’s win on LinkedIn 😜

‘Cheta’ - the word made popular by Sanju across the country! 😊

3️⃣2️⃣1️⃣ RUNS 🔥 3️⃣ FIFTIES 👏 8️⃣0️⃣.2️⃣5️⃣ AVERAGE ✨ A performance for the ages from SANJU SAMSON 🫡 #TeamIndia | #T20WorldCup | #MenInBlue | #Final | #INDvNZ | @IamSanjuSamson

I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then: - the human iterates on the prompt (.md) - the AI agent iterates on the training code (.py) The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc. github.com/karpathy/autor… Part code, part sci-fi, and a pinch of psychosis :)

Anthropic dropped a 33 pages cheat sheet for building Claude skills resources.anthropic.com/hubfs/The-Comp…

Pure will ft. @lakshya_sen 🔥 He beats cramps and a commendable opponent in Canada's Victor Lai to make the #AllEnglandOpen2026 final. Highlights 🔽

Feb March is the time when trees bloom in Bangalore. Here are some wonderful sights in KGA- the city at its best 🙏🏽