Saurav Mohapatra

Engineer building recursive systems at entropy’s edge - rewriting the rules of Biology, Physics & Computation.

[Saurav Mohapatra @iSMohapatra]

@michaelchchoi @wickie369 These two!!

[Saurav Mohapatra @iSMohapatra]

@ArthurCahuantzi @wickie369 Markov Chains.

[Saurav Mohapatra @iSMohapatra]

@nntaleb @ylecun @wickie369

[Saurav Mohapatra @iSMohapatra]

@zhigangsuo @wickie369

[Saurav Mohapatra @iSMohapatra]

@caglar_ee @EntropyHawk This one seems interesting.

[Saurav Mohapatra @iSMohapatra]

@Mathisfaction @PhysInHistory @grok What’s the name of this book?

[Valentin Ignatev @valigo]

Computer Science is not science, and it's not about computers. Got reminded about this gem from MIT the other day

[Saurav Mohapatra @iSMohapatra]

@vivekgalatage @EntropyHawk

[Nassim Nicholas Taleb @nntaleb]

My most important paper ever: How uncertainty (errors on errors) fattens the tails. Connects to all epistemological traditions. w/@DrCirillo
Pages 1-4

[Saurav Mohapatra @iSMohapatra]

@atShruti Give me VC with a huge whiteboard. Even better MIT style chalkboards. Love that!!

[Saurav Mohapatra @iSMohapatra]

@atShruti Absolutely. In the early days one has to do everything till the vision of the start-up matures and takes the form that can be understood and internalized by others!!

[Prince Fynn @Prince_Fynnz]

This is Thomas Seyfried.

He’s a professor of biology, who’s studied cancer for 30+ years.

His message? Cancer isn’t bad genes or bad luck—it’s damaged mitochondria.

This flips everything you’ve been told about how to treat & prevent cancer:

Check Thread 👇

[Nassim Nicholas Taleb @nntaleb]

Arguments take two forms: authentic & reverse-engineered. Authentic arguments emerge naturally from the situation itself. Reverse-engineered ones are constructed backward—designed to serve a preexisting urge to discredit or harm an antagonist.

The first kind has few degrees of freedom. The second is highly dimensional, of the type "find me a person and I will find the crime".

Almost all the ones used in politics are of the second kind.

[Physics In History @PhysInHistory]

“Absence of evidence is not the evidence of absence.”

-- Dr. Carl Sagan (1934 - 1996)

[Math Cafe @Riazi_Cafe_en]

Terence Tao on working hard:

“Relying on intelligence alone to pull things off at the last minute may work for a while, but generally speaking at the graduate level or higher it doesn’t.

One needs to do a serious amount of reading and writing, and not just thinking, in order to get anywhere serious in mathematics; contrary to public opinion, mathematical breakthroughs are not powered solely (or even primarily) by “Eureka” moments of genius, but are in fact largely a product of hard work, directed of course by experience and intuition.

The devil is often in the details; if you think you understand a piece of mathematics, you should be able to back that up by having read all the relevant literature and having written down at least a sketch of how that piece of mathematics goes, and then ultimately writing up a complete and detailed treatment of the topic. 

It would be very pleasant if one could just dream up the grand ideas and let some "lesser mortals" fill in the details, but, trust me, it doesn't work like that at all in mathematics; past experience has shown that it is only worth paying one's time and attention to papers in which a substantial amount of detail and other supporting evidence (or at least a "proof-of-concept") has already been carefully gathered to support one's "grand idea".  If the originator of the idea is unwilling to do this, chances are that no-one else will do so either.”

Source: https://t.co/1NsYnhpkJj
Image: https://t.co/j3wLCH5IrL

[Alex Hormozi @AlexHormozi]

Really exceptional. @JeffBezos

[Saurav Mohapatra @iSMohapatra]

Some really cool ideas here...

https://t.co/N64e5HuB7G

[Saurav Mohapatra @iSMohapatra]

@sarbjeetjohal @awscloud That's quite the move by them..

[Reads with Ravi @readswithravi]

23 books recommended by Dr. Andrew Huberman:

1) Outlive by Peter Attia, MD