Utilize tools like Buffer to plan your social media updates in advance. They're incredibly handy!

I wrote a short piece on Substack about how to approach research. I'd appreciate any feedback or comments from the community here on how I can improve it and if anything I say is extremely wrong-

annimukh.substack.com/p/the-surest...

This is so useful. Thank you for doing this, truly appreciate it!

I’ve started an AI in healthcare starter pack! Let me know who is missing. go.bsky.app/7PeNwep

How does one build habits and shake off the shackles of one’s old self?

It is just me, or when I do courses from Universites I feel like a God and that I know everything and the moment I try to build something on my own I feel completely lost?

learning anything is hard.
most learning is just understanding a story.

if taught well, every bit of knowledge is a story. And stories is the greatest compression algorithm of information developed by the human mind.

Haven’t been active here because no matter how many start packs I follow, I still never manage to get a good feed :(

This is such a heartfelt post. We Research because we love it. We do what we do because of a calling which says to us, “if we don’t do it, when who will”. It’s a love for the subject, the joy of knowing how things work to their core.

I want to take this opportunity to say: Research is hard, especially when studying complex systems like politics that are constantly changing. None of us are immune to missing something or drawing a bad inference. Not everything that’s true now will still be in the future. Show each other grace.

These sites might be useful:

1. HealthMap – Real-time disease tracking system developed by Boston Children’s Hospital. (healthmap.org)
2. Global Incident Map – Displays disease outbreaks worldwide with alert notifications. (outbreaks.globalincidentmap.com)

I keep on following Profs, liking Academic tweets yet my BlueSky feed stays the same. Can anyone help me make it better?

I completely agree. I was reading Dr Russel’s book on AI and Chapter 2 goes into detail the ways AI agents can make us better.

A cracked team @ Google / MSFT / Amazon should be working on PoCs and showing them off weekly! There’s so much potential and use cases we can’t begin to fanthon even!

So excited about AI tools that make us better: collaborative assistants, tools for scientific investigation, decision support, markets that incentivize good outcomes, social media algorithms that help us achieve consensus. There is so much that isn’t “automate away humans.”