kartik patel

Ophthalmologist, Tesla Long Term Shareholder, Metropolitans & Nittany Lions. Humility is key to Happiness! $TSLA $PLTR BTC $HOOD $SOFI $AMD $LMND $BULL - NFA

[Randy Kirk @RandyWKirk1]

There is a so called "documentary" coming out on Elon Musk next week. Here is my answer in advance to this pile of trash.

[kartik patel @patelkasey]

@robertcourson @bot hey @bot I want that [email protected] email address

[kartik patel @patelkasey]

@TeslaHype @royce_james Well deserved @elonmusk
@AOC any thoughts

[Seth @seth_fin]

🇺🇲 AOC calling Elon Musk the most unintelligent billionaire is peak comedy. 😅

How can they possibly saying something so silly with a serious face?

[Alex Finn @AlexFinn]

The Claude Bot everyone has been waiting for has arrived and it's.... Grok Bot

Elon announced Grok Bot will now be powered by whatever the BEST model is for the task you're working on

Ask for a super complex task? Opus 5.5

Ask for a detailed image? Midjourney

Shows you how good Elon is as a business man

He's not implementing competing models into Grok Bot. These are models that are running in SpaceXAI data centers due to existing Anthropic contracts

If you use Grok models. Elon wins. If you don't use Grok models. Elon wins.

And people say it's luck that he's a trillionaire

[Farzad 🇺🇸 🇮🇷 @farzyness]

Grok @bot will be insanely powerful if it’s completely model agnostic and the @spacexai simply hyper-focuses on creating the greatest orchestrator AI of all time.

That orchestrator AI will know what model is best at what at the best possible cost and fastest speed, and based on your prompt, Grok Bot will automatically use the best model(s).

And over time SpaceXAI can hyper-optimize their own models to be extremely good at executing tasks in Grok Bot.

It’s getting WAY too hard for humans to know which AI model is best at what already, especially at what cost and at what speed. The only way to do this properly is with another AI that automatically does all of this for you.

And since SpaceX is gonna own so much compute, in theory, those other models will likely be served from their own data centers either on the ground or in space!

$SPCX

[Elon Musk @elonmusk]

Important note regarding Grok @Bot:

Going forward, @SpaceX will use the best back end model for any given task, including Claude Opus 5.5, MidJourney, Suno and other leading APIs.

Whatever is most likely to give you the best outcome.

[Yun-Ta Tsai @yunta_tsai]

Technology is the greatest equalizer. Net worth no longer decides which phone you carry. Everyone uses the same iPhone.

You no longer need a fortune for a chauffeur. Tesla Full Self-Driving does that.

Need a personal assistant? Spin up as many Grok bots as you like. Each is as dedicated as the last.

Not far in the future, Optimus will push this further: the same quality of care for everyone, better with every software update.

[Jason Oppenheim @OppenheimJason]

A public service announcement.

[Nic Cruz Patane @niccruzpatane]

From concept to reality.

@SpaceX has successfully deployed Starlink V3 satellites into Earth’s orbit and made contact with them for the first time.

At scale, one Starship carries 60 V3 satellites, the same network capacity as about 20 Falcon 9 launches.

[Meghan Reckling @MeghanReckling]

It doesn’t matter how famous you are, how much money you make or what you do for a living.

You can be one of the most recognizable people in the world. You can have all the success, awards and accomplishments anyone could dream of.

But at the end of the day, there’s someone who doesn’t care about any of that.

Someone who looks at you like you’re their whole world. Who thinks you walk on water. Who just wants your time, your hugs and to know you’re there.

They don’t call you famous.
They don’t call you successful.
They just call you Dad. ❤️

And that’s the most important title any man will ever have.

[OldTimeHardball @OleTimeHardball]

1986 World Series. Bottom of the 10th

Vin Scully on the call

[the Sports ON Tap @thesportsontap]

John Urschel started 13 games on the offensive line for the Baltimore Ravens.

Then he read one study and retired at 26.

Today he is an assistant professor of mathematics at MIT.

Urschel was a fifth round pick in 2014 out of Penn State. Guard and center. 40 games, 13 starts, a real NFL career by any honest measure. Most fifth rounders never get on the field at all.

But the football was always the second thing.

He got his bachelor's and his master's in math at Penn State in a single year, 2012 to 2013. While playing Division I football. He co-authored a paper on graph theory as an undergraduate that is now known in the field as the Urschel-Zikatanov theorem.

In 2013 he won the William V. Campbell Trophy, which people call the academic Heisman.

So he was doing both. In January 2016, while he was still an active NFL lineman, he enrolled in the PhD program in applied mathematics at MIT.

Practice in Baltimore. Coursework in Cambridge. Straight A's in his first four doctoral courses.

Then came the hit.

In training camp in 2015 Urschel took a concussion. And what scared him was not the headache.

It was that for a while afterward, he could not do math the way he used to. The one thing that was actually his, the thing football was supposed to be the hobby next to, got slower.

He came back. He played the 2016 season.

And then in July 2017 the JAMA study came out. Researchers had examined the brains of 111 deceased NFL players and found signs of CTE in 110 of them.

110 of 111.

Two days later, Urschel retired. He was 26 years old.

"This was actually a serious, serious concern of mine," he said.

Think about what that actually costs. He was on a rookie deal with starts on tape and years of earnings in front of him. He traded all of it for a graduate student stipend and a desk.

Then he went and finished the thing.

He earned his PhD from MIT in 2021 under Michel Goemans. His dissertation was titled Graphs, Principal Minors, and Eigenvalue Problems. Spectral graph theory and numerical linear algebra, which is the kind of math that quietly runs underneath machine learning and network analysis.

In the fall of 2023, MIT hired him onto the faculty.

The former Baltimore Ravens offensive lineman is now on the other side of the desk at one of the best math departments on the planet.

He wrote a book with his wife Louisa Thomas called Mind and Matter: A Life in Math and Football. Forbes put him on the 30 Under 30 list in science. Dartmouth gave him an honorary doctorate in 2024.

And when he talks about what he actually wants for people, he does not talk about football or even about proofs.

"Being capable of thinking quantitatively, it's the single most important thing."

Here is the honest counterpoint.

Urschel got to make that choice because he had an elite fallback. Most NFL players do not have an MIT acceptance letter waiting when the brain scans get scary. For most guys, walking away at 26 means walking away into nothing. That is the real story of CTE in the league and it is a lot grimmer than this one.

But it does not make what he did smaller.

He was 26, healthy, starting, and getting paid. He read the number 110 out of 111, decided his brain was the asset, and went and used it.

He kept the thing the game was most likely to take.

For more stories like this, follow us on any platform @thesportsontap

[Mike @MikeLongTerm]

BREAKING $PLTR Dr. Karp Full Interview CNBC (Brandnew) on AI Safety🆕🚨🚨
09-17-2026

Dr. Alex Karp CEO of @PalantirTech discussing @AnthropicAI @OpenAI AI safety drama.

~ Palantir customers biggest risk is IP theft
~ Sovereignty AI with $NVDA partnership is very important to Palantir and customers on using AI Model
~ Customers get to control their future
~ This is not about Safety vs regulation, this is about IP protection/liability
~ Wealth tax will kill entrepreneurship, u have to find another way
~ Palantir dont build data center🤣
~ Businesses should be responsible before releasing the product. First step disclose it and what do you do abt it. Regulate them can be very complicated.
~ "Nationalize us" to protect from liability 🧐
~ Unlimited risk when all customers IPs move into a few institutions
~ What Anthropic Said is not what they meant
~ Palantir thrives because we make these models to work in precisely and complex workloads or use case.

~ We have to follow a set of rules
~ Businesses worry about liability
~ We are going to own Ontology
~ Businesses want Sovereignty
~ Palantir is so undervalued
~ Demand is so high and we have limited capacity. Hiring & training to be full Palantirian is a process (take time)
~ Dario is one of the most important entrepreneurs, I have a lot of respect for him
~ Countries/Businesses will use close and open models

Source & Credit: CNBC & Dr. Karp

[The Penn State Troll 🦁🧌 @ThePSUTroll]

#FreeQuintonMartin

[Shai Wininger @shai_wininger]

Secret tip: Here's how to hack @Lemonade_Inc to insure your @Apple iPhone Duo for practically $0-> 🤯

[Nate Endicott @EndicottInvests]

$NBIS Citi conference question #6:

Q: "There was a $PLTR partnership, you and Alex Karp were both quoted, can you talk to us about the evolution of that relationship. What does this open up for you and them?

Arkady: "We build infracturue that we need to build for the eventual enterprises. To get to them, you need channels. $PLTR has most of the big enterprises so its a fantastic channel.

For Palantir, their customers, big corporations, they are concered that when they use AI they need to feed the data back to the frontier models and lose their soveriengty. They give up all of their secrets and data which they integrate into the models and become competitoers.

They would rather have models they can control and infrascuture they can trust. Palantir picked us because we have a full stack, from racks to software. On top of it they put their software, our Token factory provides the models, Palantir has instrument for enterprise which allows them to take their data and feed the open model which generates outcome and use that as new data and create that cycle. "

[Sawyer Merritt @SawyerMerritt]

Tesla has introduced a new form that you can fill out if you are interested in purchasing a fleet of Cybercabs:

Form: https://t.co/Ut0yoiEyXD

[phil beisel @pbeisel]

“We need a bigger brain”

Why is Tesla launching Cybercab to the world on September 3rd? Effectively launching Robotaxi.

It was an engineering decision.

Cybercab itself needed validation, but the larger story leads directly back to FSD v15.

At some point this spring, the conclusion became clear:

“We need a bigger brain.”

FSD v14 showed enormous promise. More importantly, the architecture behind it was working. The Mixture-of-Experts architecture, combined with increasingly sophisticated reinforcement learning, was producing major gains.

But there was a fundamental constraint: capacity.

The model simply did not have enough of it to encode everything Tesla was trying to teach it.

Think of it like human intelligence. A person can absorb information, recognize patterns, and develop shortcuts for understanding a complex subject. But eventually, there is a limit. When the underlying knowledge becomes too deep and the number of possible decisions too large, the person begins relying on summaries and approximations.

Put them into a situation where that deeper understanding is required, and they stumble.

That was the problem.

The v14 architecture was proving itself, and Tesla's RL system was getting increasingly effective at refining it. But the model did not have enough capacity to absorb the growing corpus of driving knowledge and decision-making required to reach the finish line.

So Tesla built a bigger brain.

FSD v15 is a substantially larger-parameter model. More parameters mean more capacity to encode nuance, recognize more complex relationships, and represent a far larger set of possible driving situations and decisions.

But creating the bigger brain created another problem:

Could it run in the car?

Training time was only part of the challenge. The real constraint was AI4. Could the hardware run a significantly larger model while maintaining the inference cycles (~36 times a second) Tesla deemed necessary?

At the same time, Tesla worked on scaling the v14 architecture down to run on AI3 hardware. That effort produced what amounts to a lighter version of v14 for AI3 vehicles: v14 Lite. It was partly about supporting the existing fleet, but it also answered an important engineering question:

How much can the brain be compressed before the hardware becomes the limiting factor?

The answer was that the architecture could be scaled.

That work provided the other side of the equation: a bigger brain could be made to fit within real hardware constraints.

With that established, the focus shifted to v15.

Tesla began training the larger model, feeding it the massive corpus of driving scenarios, rerunning the reinforcement-learning (RL) pipeline, and then expanding it further. At the same time, the engineering work began to make that larger model run efficiently on AI4.

When Elon first started talking about v15, the work was still coming together. The architecture existed. The need for a larger model was clear. But the entire system had not yet been proven end to end.

Tesla knew what it needed to build. It did not yet know how quickly it could prove that the bigger brain had solved the problem or how efficiently it could be optimized to run on the hardware.

Then the results started coming in.

The KPIs improved. The larger model demonstrated the expected gains. And Cybercab became the ultimate validation platform.

Once Cybercab was running successfully on the new system, the path to September 3rd emerged.

That is why this date exists.

Tesla is not simply unveiling Cybercab. It is unveiling the bigger brain.

[Chamath Palihapitiya @chamath]

I turn 50 today. This is a message to my kids but I offer it to you in case any of it rings useful.

I was born in Sri Lanka in 1976 in a country that, at the time, was about to enter a decades long civil war. My father was able to get stationed at the Sri Lankan High Commission in Canada for four years in the early 80s - when some of the fighting was most severe - and which from our vantage point in Canada gave us some respite from an otherwise omnipresent conflict.

He came as a diplomat but then my father filed for refugee status after four years when his life was threatened by militants. We stayed in Canada as refugees. My dad never really landed on his feet and we grew up on welfare.

My mom stepped up. She did an incredible thing and put our family on her back and kept marching forward. Sometimes the steps were very small but she always tried to keep moving forward.

I worked at Burger King starting at 14, giving my paycheck to my mom and dad to support our family in the role that I was assigned - earn enough to pay for our bus passes because we couldn’t afford a car.

I was a loser growing up. Some friends, some good memories but mostly forgettable and lonely. I wasn’t very studious but did get my act together in my final year and got into a great university.

I immigrated to the US soon after graduating and found an opportunity. Things clicked and I have been traveling a path to find myself ever since. Only in America is this possible…

I worked hard, followed the rules, paid my taxes and stayed in California out of loyalty for the opportunities it has given me despite its dysfunction.

I found my wife here. Had my kids here. Found my tribe here.

There have been some very hard times as well - deaths, divorce, financial pain, mistakes of omission and mistakes of commission. You can’t dwell on these things - they are weights that will pull you down if you’re not careful. Learn from them. Respect them. BUT MOVE ON.

To think 50 years ago I could have ever gotten a chance to meet the people I’ve met and have had the experiences I’ve had would have been mind boggling to my parents. It’s mind boggling to me now.

We forget often and try to convince others it’s not true but America truly is the best country in the world. Everything and anything is possible here. I can testify. Be grateful to be here.

This is the only place that gives EVERYONE a chance to live a great adventure. The first 50 years have been that for me - an incredible adventure.

Notice there is nothing here about accomplishments or money. Because it doesn’t matter and it won’t matter.

You will be dust in less than 100 years from now and the decision to be remembered won’t be yours so stop sweating it. It’s not in your control.

So what is in your control?

Be kind. Have fun. Work on something meaningful to you. Find your tribe. Try to find perspective. Find an incredible partner. Have a bunch of kids. Live an adventure. Forgive your parents - they were doing the best they could even if that wasn’t what you deserved.

I will do what I can to make my next 50 years a wild ride.

You should too.

I love you and thank you. ❤️

🙏🏽🙏🏽

[a16z @a16z]

Gavin Baker says Grok Bot feels like another ChatGPT moment because it turns hours of Claude Code work into seconds:

"You see these 23-year-old kids and just the way they use AI, they're just fluent and native in it. I just feel like maybe in a way that no matter how hard I try, I will never be, and I'm trying really hard."

"We got Claude Code. I built some stuff, did some cool stuff, and in, I don't know, 3 minutes of creating Grok Bots, I had much better versions of everything I created."

"I love having a podcast summarizer... It takes 10 seconds in Grok Bot. It's amazing, and it's so good."

"A Substack summarizer, an X summarizer, an X sentiment tracker for topics and stocks... All of those would have taken me hours working with Claude Code, and they each took 7 to 12 seconds with Grok Bot. And it's better."

"To me, Grok Bot does feel like another ChatGPT moment."

@GavinSBaker @DavidGeorge83