Venkat Potlapalli

[Venkat Potlapalli @VenkatPotlapali]

AI-powered software development: How technology is rewriting the rules https://t.co/XQWxxw7D5J via @McKinsey

[The Khel India @TheKhelIndia]

NORWAY HAS KNOCKED OUT BRAZIL FROM THE FIFA WORLD CUP 2026! 🤯

- The Viking Row celebrations continues!

[Anil Padmanabhan🇮🇳🕉️🚩 @anilp68]

The girl singing is Alka Ajit, from Kerala. Orchestra is from all over the world having provided the music through a zoom call. The last stanza was sung in Tamil. Produced by Geetanjali Tamil Orchestra Seattle USA. The end result is simply superb. Technology at its best
Enjoy!❤️

[Science girl @sciencegirl]

A mathematician reveals why the number 6174 is unlike any other

It’s called “Kaprekar’s constant”

[Book of Love @book_of_luv]

Shreya Ghoshal 1996 . at age of 12. A rare memory.

[Venkat Potlapalli @VenkatPotlapali]

@umeh098 1

[Venkat Potlapalli @VenkatPotlapali]

@Arden_2210 45

[SonnyBoy🇺🇸 @gotrice2024]

This is the first time I have ever seen this hack. This can easily be done by anyone in a bind or didn’t know how to tie a tie to begin with.

[Venkat Potlapalli @VenkatPotlapali]

@Jindo_1307979 63

[𝓝𝓲𝓴𝓴𝓲 𝓑𝓪𝓻𝓷𝓮𝓼 @NikkiBarnes]

Best explanation I’ve heard about US interests in Venezuela today.

P.S. She recorded this over 2 weeks ago.

[Science girl @sciencegirl]

Best example for why ups and downs are important in life

[Venkat Potlapalli @VenkatPotlapali]

Harvard MBA grads are landing jobs paying $184K—but a record number are still ditching the corporate world and choosing entrepreneurship instead https://t.co/gnaODmiQ3L

[The Lowy Institute @LowyInstitute]

NEW RESEARCH: The @LowyInstitute has today released the 2025 edition of the Asia Power Index, authored by @SusannahCPatton & @JackRSato, which measures resources and influence to rank the relative power of states in Asia.

🌏Explore the Asia Power Index: https://t.co/v541RMGRit

[VraserX e/acc @VraserX]

Jeff Bezos just explained the “AI bubble” better than anyone.

At Italian Tech Week 2025, Bezos didn’t deny the hype, he embraced it.

“Yes, there’s a bubble. But AI is real and it’s going to transform every single industry.”

He called it an industrial bubble, not a financial one.
That’s a crucial difference:
•A financial bubble (like 2008) destroys value and leaves nothing behind.
•An industrial bubble (like AI, the internet, or fiber optics) creates massive value, even if investors get crushed.

“Even when those companies went bankrupt, the fiber stayed in the ground. Society got the infrastructure. That’s what we’ll see with AI.”

Bezos says right now we’re in the “chaotic, beautiful” phase of overfunding, where every wild idea gets money.
Investors can’t tell the good ideas from the bad ones.
But that’s exactly how big shifts happen.

He compared it to Amazon’s early days:

“Our stock went from $113 to $6, while every internal metric improved. The market and the reality had completely diverged.”

His point: bubbles distort prices, not progress.
AI valuations might crash, but the technology won’t.

“This is not a mirage. This is a horizontal technology, like electricity and it will touch everything.”

Bezos isn’t predicting an apocalypse.
He’s predicting a reset, where the hype burns off, and the real builders remain.

AI isn’t a bubble, it’s a boom disguised as one.

[Venkat Potlapalli @VenkatPotlapali]

9 standout books on AI and tech https://t.co/59P7Rbnr8D via @McKinsey

[Andrew Ng @AndrewYNg]

There is significant unmet demand for developers who understand AI. At the same time, because most universities have not yet adapted their curricula to the new reality of programming jobs being much more productive with AI tools, there is also an uptick in unemployment of recent CS graduates.

When I interview AI engineers — people skilled at building AI applications — I look for people who can:
- Use AI assistance to rapidly engineer software systems
- Use AI building blocks like prompting, RAG, evals, agentic workflows, and machine learning to build applications
- Prototype and iterate rapidly

Someone with these skills can get a massively greater amount done than someone who writes code the way we did in 2022, before the advent of Generative AI. I talk to large businesses every week that would love to hire hundreds or more people with these skills, as well as startups that have great ideas but not enough engineers to build them. As more businesses adopt AI, I expect this talent shortage only to grow! At the same time, recent CS graduates face an increased unemployment rate, though the underemployment rate — of graduates doing work that doesn’t require a degree — is still lower than for most other majors. This is why we hear simultaneously anecdotes of unemployed CS graduates and also of rising salaries for in-demand AI engineers.

When programming evolved from punchcards to keyboard and terminal, employers continued to hire punchcard programmers for a while. But eventually, all developers had to switch to the new way of coding. AI engineering is similarly creating a huge wave of change.

There is a stereotype of “AI Native” fresh college graduates who outperform experienced developers. There is some truth to this. Multiple times, I have hired, for full-stack software engineering, a new grad who really knows AI over an experienced developer who still works 2022-style. But the best developers I know aren’t recent graduates (no offense to the fresh grads!). They are experienced developers who have been on top of changes in AI. The most productive programmers today deeply understand computers, how to architect software, and how to make complex tradeoffs — and who additionally are familiar with cutting-edge AI tools.

Sure, some skills from 2022 are becoming obsolete. For example, a lot of coding syntax that we had to memorize back then is no longer important, since we no longer need to code by hand as much. But even if, say, 30% of CS knowledge is obsolete, the remaining 70% — complemented with modern AI knowledge — is what makes really productive developers. (Even after punch cards became obsolete, a fundamental understanding of programming was very helpful for typing code into a keyboard.)

Without understanding how computers work, you can’t just “vibe code” your way to greatness. Fundamentals are still important, and for those who additionally understand AI, job opportunities are numerous!

[Original text: https://t.co/nqzPC6eUpR ]

[Venkat Potlapalli @VenkatPotlapali]

Built an AI Twin in 15 min https://t.co/YB4t2Hnbgt

[Venkat Potlapalli @VenkatPotlapali]

The data center balance: How US states can navigate the opportunities and challenges https://t.co/MQr5kl2VWK via @McKinsey

[Figure @Figure_robot]

Today we unveiled the first humanoid robot that can fold laundry autonomously

Same exact Helix architecture, only new data