Zverev to Sam Querrey on the TNT Desk after winning Roland Garros
Querrey: “Sam here. Well done. Congratulations.”
Zverev: “Sam who?”
Querrey: “Sam Q.”
Zverev: “Why are you on this channel, who hired you? Why are you here? You got all champions and then you got Sam Querrey.” 😂
Querrey: “When that final overhead went long, did you feel more relief from within or more excitement?”
Zverev: “First of all I’m very happy that I’m holding this… Because you said I never will… so thank you very much for your confidence… for the people that don’t know, we have a love-hate relationship. I actually love it. I love giving you a hard time.” 😂
Nobel Prize winner Demis Hassabis just accidentally revealed who survives the next 5 years and who doesn't.
"One person who understands AI will outperform an entire startup team"
Most founders heard that and thought: "Oh no, I need to learn prompt engineering"
Wrong.
That's not what "understands AI" means anymore.
It means: building workflows. Chaining systems. Automating entire departments.
Not typing better questions into ChatGPT.
The split is brutal:
> 90% of people = still using AI like a calculator
> 10% of people = treating it like infrastructure
In 5 years, the 10% will run everything with half the headcount.
The 90%? Replaceable.
Which group are you in?
Watch the full breakdown. This is the only skill gap that actually matters right now.
Bookmark this. You'll want to reference it.
Maja Chwalinska had a hilarious interaction with John McEnroe at Roland Garros on the TNT Desk
John: "Do you actually know who I am?"
Maja: "Are you kidding me? When I was younger I watched a lot of tennis. Like… the vintage tennis."
😭😭😭😭😭😭😭😭
"That day I suddenly realised that I was no longer driving conscious; I was in different dimension. The circuit was a tunnel which I was just going through and I realised I was well beyond my conscious understanding."
Ayrton Senna about his performance at the 1988 Monaco GP🏁
This is the best site on the internet to learn harness engineering.
Free. Completely.
Most AI engineers have never heard the term.
https://t.co/bwDbTTYsjM
Bookmark this site.
Then read this setup ↓
Sometimes tennis can take a long time to give back what players keep putting in. Good to see Alexander Zverev win his first Grand Slam at Roland-Garros today. Always felt he was a special player!
Credit to Flavio Cobolli for the way he competed today as well. Both players gave everything to the game. 👏
Alexander Zverev won the 2026 French Open by defeating Italian challenger Flavio Cobolli in a grueling five-set match: 6-1, 4-6, 6-4, 6-7, 6-1. This victory marks the first Grand Slam title for the German star. #tennis#grandslam#frenchopen
An die Hater: Bei allem berechtigten Anmerken,dass alle Top-Spieler früh ausgeschieden sind bzw. fehlten, musst du das dann auch erstmal so souverän zu Ende spielen.Starkes Turnier und der so verdiente Grand Slam-Sieg. Es sei ihm gegönnt! #Zverev#FrenchOpen#RolandGarros#Tennis
Each morning, the young elephants stop by to greet the resident blind black rhino before heading out.
Despite his solitary nature, he enjoys these daily visits, patiently waiting by the gate as his friends pass by.
My first introduction to probability theory came from Bertsekas textbook. After I later absorbed the measure theoretic formalism of the subject, I still find myself occasionally revisiting the book for practical computation techniques. Later, when I worked as a quant researcher in finance, I learned the theory of model predictive control from his book “Dynamic programming and stochastic controls”. The idea of open loop feedback control motives me to write the paper https://t.co/VFLfVaCO1k where we formulate multi-step time series forecasting as a model predictive control problem.
These days, the RL in the LLM context feels more like contextual bandit with policy gradient methods. For example, the usual notation in this context is pi(x|y). There is also rich control theoretic formulation of RL with known dynamics or joint estimation of the dynamics that I have learned from Bertsekas textbook.
Both books are still on my desk side bookshelf. I often find Bertsekas is able to design a notation system that’s optimized for understanding and calculation. He introduces many meaningful intermediate abstractions that end up being more tractable objects to reason about. Rest in peace, Professor Bertsekas!
1989 Monaco GP qualifying.
Ayrton Senna's pole lap, 1:22.308.
1.148s faster than his teammate Prost in 2nd. He finished the race 53s ahead of the field. The radio fell silent that day...
From then on Senna would win every Monaco GP until his death.
🎞 Televisión Española, La 2