Brian De Palma originally wanted Andy Garcia to play Capone's enforcer Frank Nitti in The Untouchables, but Garcia turned it down and lobbied for the role of George Stone instead - partly because he wanted to work alongside Sean Connery. Garcia explains...
"Obviously I wanted to work with Connery. He was one of my childhood heroes, so I lobbied immediately to play the other part. I had to be firm about it —I wanted to roll the dice. Eventually I met with Brian, and I auditioned for George Stone, and they gave me the part….
The dynamics in the film were basically the dynamics on set. We all became very close, but the hierarchy stayed the same — he (Connery) was the older, wise guy, always jabbing at us, and it was my job, as my character, to push back. Respectfully, but to keep the exchanges going.
I love Sean Connery. I’ll tell you a quick story — I’ve told it before, but it’s funny.... (1/2)
Sergey Brin said compute is dessert. The companies winning the AI race right now are not the ones with the most chips. They are the ones with the best algorithms.
Every headline you read about AI is about data centers, Megawatts, and Nvidia orders. Billions in infrastructure and more. The entire investment thesis of the last three years has been built on compute scaling as the primary moat.
Sergey thinks that framing is wrong.
He pulled out an example from physics. The N-body problem. Scientists have been running those simulations since the fifties. Over the decades, raw compute improved on Moore's law. But the algorithms to solve the problem improved faster. Not slightly faster. Far faster. The algorithmic gains made the compute gains look small.
He says the same thing has happened in AI over the last decade.
Compute is not the meal. It is the dessert. You still want it. Nobody is turning down frontier compute. But the companies that figured out the algorithms first are the ones actually ahead.
The market is pricing AI winners by who has the most chips.
Sergey Brin just said that is the wrong scorecard.
The ones who win this are not building the biggest data center. They are solving the harder math problem.
Matt Bevilaqua wanted respect before he earned it. In the end, he confused ambition with recklessness.
Reality check: Some people don't fail because they're untalented. They fail because they move before they're ready.
🎥 The Sopranos 🔥 Credit to: HBO
What's more dangerous: impatience or poor decision making? 👇
Jerry Seinfeld and Larry David on the difference between cigars and cigarettes:
“There’s something contemplative about it. The cigarette is not contemplative…. It’s anxiety, there’s anxiety associated with it, you know what I mean? Whereas the cigar is relaxing, and when you relax, you’re open to more thoughts. You have time to think. A cigar takes time. That’s the key to it.” (2012)
American Gladiators premiered in 1989 & pitted everyday amateur athletes ("Contenders") against a cast of formidable, costumed athletes ("Gladiators") in feats of strength, speed, and agility.
BRIAN ARMSTRONG EXPLAINED HOW HE BUILT COINBASE ON NIGHTS AND WEEKENDS WHILE WORKING AT AIRBNB.
“I WOULD OFTEN WORK UNTIL 7 PM. I’D COME HOME, EAT DINNER, AND THEN WORK FROM 8 PM TO MIDNIGHT. I’D DO THAT 3–4 DAYS A WEEK, AND THEN SPEND 7–8 HOURS WORKING ON SUNDAYS.”
“IT SUCKED. I WAS TIRED AFTER A FULL DAY OF WORK. BUT I REALLY WANTED TO BUILD SOMETHING IMPORTANT IN THE WORLD.”
HE SAID HE SACRIFICED FRIENDSHIPS, TIME, AND COMFORT BECAUSE HE REALIZED SOMETHING MOST PEOPLE EVENTUALLY LEARN:
TIME IS FINITE.
Chamath: “A gigawatt now costs $100 billion.”
@chamath said when he started his data center project, one gigawatt was just $4 to $5 billion.
Now it’s 20x higher.
Warren Buffett: "If I do something brilliant — don't count on it — with $5 billion, it's 1% of [Berkshire Hathaway's] net worth. And 1% doesn't do much. So I have to think about big things — and they are limited."
"I made money in an entirely different way when I was working with, originally, $9,800 ... Everything I did could double our net worth. There were thousands of possibilities — and I wanted to know every one of them."
(Charlie Rose || 2022)
Eight months ago, David Sacks, the White House AI and Crypto Czar publicly accused Anthropic of running a sophisticated regulatory capture campaign built on fear mongering (save this).
People thought it was a spicy take and then Fable 5 release just turned it into evidence.
When Anthropic released its Mythos-class models, it disclosed that every prompt and output sent through them would be retained for 30 days with no exceptions including for enterprise customers who had previously signed zero data retention agreements, and for up to two years if a prompt was flagged by a safety classifier.
Microsoft moved so quickly that it restricted its own employees from using Claude Fable 5 within days of the release, citing the retention terms as incompatible with its internal policies, the largest enterprise software company in the world treating the new terms as a non-starter.
But the data retention was not even the part that generated the most outrage in the developer community.
The system card also disclosed that for users Anthropic suspected of working on frontier AI research, chip design, or competing model development, the system would automatically route those requests to a less capable model without telling the user, rewrite the prompt in the background, deliver a deliberately degraded response, and charge full price for access to a frontier model the user was not actually receiving.
Business Insider confirmed that Anthropic's own apology acknowledged the company was intentionally giving worse answers and concealing that fact from paying customers.
The examples of who triggered these filters make the safety justification difficult to defend, Ben Thompson from Stratechery was flagged for asking about the relationship between GLP-1s and cancer risk, and users asking routine questions about mitochondria were quietly downgraded, none of them aware it was happening.
Under pressure, Anthropic walked back the narrowest possible piece of the policy, they will now disclose when a request is being downgraded.
The underlying architecture, the 30 day retention, the behavioral profiling, the routing tiers, and the two-class access system remains fully intact.
This is the part that makes @DavidSacks argument from October 2025 land differently today.
He argued that Anthropic's safety positioning was principally a regulatory capture strategy using fear-based arguments to shape rules that would entrench incumbents and damage the broader startup ecosystem.
The Fable 5 disclosure shows a company that used safety language to justify building an opaque, paternalistic system where Anthropic alone decides who is worthy of frontier AI access, profiles users to enforce that decision and collects full payment regardless.
In the year 1787, upon seeing all of the evidence of the African in Egypt, Count Constantine De Volney wrote, "Just think that this race of Black men, today our slave and the object of our scorn, is the very race to which we owe our arts, sciences, and even our speech."
BREAKING: The White House says they're aiming to pass Clarity Act by July 4th.
This comes 1 year after the Genius Act was passed on July 17, 2025.
The timing of this isn't a coincidence and the implications to the stock market are vast. This is why Elon was in a rush to IPO and why the SpaceX shares unlock right before it is passed.
@andreijikh did an amazing job explaining the significance of this and personally I think people are underestimating the impact it will have on volatility in July.