Fintech product and AI system.
BENCH
Joined September 2026
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WARREN BUFFET SAYS HIS REVENGE COST HIM $200 BILLION
Berkshire’s boss promised $11.50 a share. The offer came in at $11 3/8.
In the video below: “He chiseled me for an eighth.”
So Buffett bought control and fired him. Then spent 20 years propping up a dying textile mill. Without it, he said in 2010, Berkshire would be worth twice as much.
Ego tax, or the base of the empire?
$5.4 million: what one "no" cost Charlie Munger, by his own estimate.
It's 1 of 25 traps he wrote down. A bot tuned to please won't talk you out of them.
All 25, each with a question to ask before money moves.
Which one has already cost you?
“Left Eye” 10 million albums. 56 cents each to the group. About $300,000 per singer.
Lisa “Left Eye” Lopes does the math herself.
In the video below: “This is how a group can sell 10 million records and be broke.”
7 points × 8 cents = 56 cents. $5.6 million, minus $3 million in recording costs paid back to the label, minus tax, split three ways.
Fair, since the label took the risk, or a loan nobody would sign twice?
First it was 35 Amazons. Then 32. Now 29.
Same ad, same quote, and the number keeps melting.
I know this ad. I lost $14,000 on a "next Amazon" in 2021.
So this time I did the math.
The whole pitch rests on one quote. Cathie Wood, June 2017: deep learning "could approach $17 trillion in market cap."
Amazon back then: ~$480B. $17T fits 35 times.
Amazon today: ~$3T. $17T fits 5.7 times.
The forecast didn't grow.
The yardstick shrank.
The ad is still catching up.
And the part nobody prints: some of that upside already happened. Amazon itself went 6x.
"Buy Amazon at $0.77" isn't an offer. Nobody gets that price. You get the newsletter.
Every "next Amazon" teaser runs the same play. Real quote. Real number. A denominator frozen in the year it looked biggest.
AI isn't small. $17T is still a monster.
But a 2017 multiple is not a 2026 opportunity.
$14K bought me one rule: never buy a ratio without checking the denominator.
Now every one of these goes into Claude first: "Find the original quote, its date, and redo the comparison with today's numbers." 30 seconds. Would've saved me $14K.
35, 32, 29. Screenshot the next version you see and drop it below.
$265,000 to stay out of Rocky. Stallone wouldn’t have taken $500,000 either.
He’d written the script and had $106 in the bank. In the video below: “My one love was to at least fail on my own terms.”
Rocky cost $1 million and won Best Picture.
Cash now, or the right to fail on your own terms?
1999. ELON MUSK GETS HIS FIRST MILLIONS AND A $1M SUPERCAR... BUT HIS BIGGEST FEAR THAT DAY WASN'T LOSING THE MONEY
7am. a truck stops outside a small apartment and a 27-year-old Musk watches a McLaren F1 roll off the back
"there are 62 McLarens in the world and i will own one of them"
"it's a million dollars for a car. it's decadent"
he'd just sold Zip2 to Compaq for ~$307M. his cut: ~$22M
then he says the line that tells you who he is:
"just 3 years ago i was showering at the Y and sleeping on the office floor"
his fiancée Justine is standing right next to him. a new millionaire with a new supercar. and this is what he's worried about:
"my fear is that we become spoiled brats. that we lose a sense of appreciation and perspective"
he knew exactly what the money could buy:
"i could go and buy one of the islands in the bahamas and turn it into my personal fiefdom"
"i'm much more interested in trying to build and create a new company"
and he meant it. he put "the great majority" of his net worth into x.com, an online bank almost nobody believed in
his own words:
"it's sort of like a series of poker games"
"i haven't gone and taken my winnings... i've just put almost all of it back into the new game"
x.com became paypal. paypal turned into ~$180M. the $180M went into spacex and tesla. you know the rest
and the car? a year later, Peter Thiel in the passenger seat, on the way to pitch Sequoia. Musk floors it. the F1 spins and goes airborne. no insurance. both walk away
napkin math:
the toy: $1M in 1999. F1s now sell for $20M+. ~20x
the chips he pushed back on the table: ~$22M. today: hundreds of billions. four more zeros
the island: still just an island
the only time he ever cashed out, he bought a car. everything else went back into the game
26 years later the richest man alive sleeps in an airstream. the 27-year-old who was scared of becoming a spoiled brat never let it happen
Adin Ross: “Any last words?” → “I’ma k*ll you, b*tch” 😳 → security pulling them apart. Then a SECOND fight broke out in the crowd 🥊🔥
Peter Thiel mocked Silicon Valley for 15 years over flying cars. Elon Musk just flew a Tesla Roadster UPSIDE DOWN
Thiel: "We wanted flying cars, instead we got 140 characters."
Musk, last night: "No more."
The Roadster drove up a vertical wall. 2,293 kg of fan suction kept it there.
Then it launched off, flipped on thrusters and landed.
"Well, it worked. Flying cars are real."
Every "where's my flying car?" meme is dead. Real flying car, or a jump with extra steps? Fight below
Fin Bench retweeted
MAYBE ELON MUSK WAS ON KETAMINE. BUT THIS TESLA ROADSTER IS A CYBERPUNK 2077 QUADRA
2019, Cyberpunk to Musk: "We had a deal, Elon."
Left: Tesla Roadster. Right: Quadra.
Same wedge. Same red light bar across the whole tail. Same blacked-out bottom.
Roadster: active wing, four rocket nozzles in the diffuser. Quadra: pipes and absurd wheels.
Did Elon Musk rip a car out of Night City, or is it just the same nightmare? Copy or coincidence
CRAZY TRADIING SYSTEM BUILD BY OPUS 5.5
$450 became $67,000 in ... days.
none of the setups are mine, a verified xau/usd provider sends them and my broker mirrors the trades
i stuck to gold because it punishes a late or sloppy entry within minutes
two models sit between every signal and my account, and together they cost $120 a month
haiku 5.5 grades each incoming signal on the spread and on what the news calendar says is coming
opus 5.5 reads those grades, sets the position size, and kills anything that looks off
between september 13 and october 13 it took 342 trades, and 89% of them finished in profit
the win rate sounds wild until you see the payoff, winners averaged 0.6r and losers cost a full 1r
the deepest drop from peak was 13%, and on a $450 start that is the number i actually watch
for context, 69.9% of uk retail cfd accounts lose money, per an april 2026 tally of 14 fca-regulated brokers' risk warnings
it isn't flawless, 4 signals opus 5.5 rejected went on to close green
the next layer reviews every rejection after the fact, so good trades stop getting filtered out
$9,000 already went to my card, the other $58,000 is still working
the plan for month two is $58,000 to $300,000, same provider, same filter, larger positions
I HAVEN'T SEEN ANYTHING ELSE BUILT LIKE THIS
i’m dropping the full setup of my system soon, every prompt and every filter, so keep my name on your radar
Charlie Sheen's dr*g addiction turned his movie paychecks into dealer money.
his words: he worked "just to get the dough" to keep paying "the dealers or the bartenders… the drivers."
he says producers could see the state he was in.
nobody called his agent. Nobody called his mom.
all they wanted was the poster with him holding a gun.
he doesn't dodge it: "it's still on me saying yes."
later he hit $1.8 million an episode. By one estimate, he's worth about $3 million today.
who's guilty: the addict who said yes, or the people who cashed in on him?
Richard Branson. Night in prison.
the guy who can't pay it earns $16,000 a year. So he waits in a cell, still legally innocent.
Richard Branson dodged tax at 19 and got caught. One night in jail. His parents mortgaged their house, and he walked.
43 years later, inside a prison, he said it: jail is for people who can't make bail.
TEDx Ironwood · Prison Policy Initiative
could you raise $10K tonight without someone's house?
$59,000 sedan and a fully reusable rocket: @elonmusk pitched both in May 2008.
Ten months later, Tesla priced the Model S at $57,400.
The rocket: 18 years on, nobody has flown one. Not even SpaceX.
Your QQQ holds it anyway, at $2.12 trillion. Flight 15 may try the first ship catch.
Fox Business, May 16 2008 · SPCX close, Oct 9
One 2008 promise came in under budget. You're long the other one.
To buy stuff, you can just take a picture of your credit card, drop it in the chat and Grok @Bot will scour the Internet for the best deal on the item you want and order it
Readers added context they thought people might want to know
xAI explicitly warns users not to include personal information in prompts, yet credit card photos may contain such information.
Grok Bot's terms state that user data and credentials may be stored in its cloud environment and require human review for financial transactions.
x.ai/legal/privacy-…
x.ai/legal/grok-bot…
Rules: never open with praise. Get the cheap router’s verdict first. If risk is high, the first word is No. Every number comes with source and date. Always end with the strongest counterargument. No agent acts without my explicit yes. If 3+ Munger tendencies fire at once — stop, human review.
Gate (all five must clear):
Source and date of the number
Strongest argument against
What did you assume about me that I didn’t say
Who is liable if this is wrong, and is it even binding
What can the agent do without my explicit yes
my result, not typical, not advice
I GAVE MY GROK BOT $67 AND ONE RULE: ONLY SHORT WHEN THE LONGS ARE FOOTING THE BILL
$67 → $7,426. 18 hours. The worst single loss of the entire run was $31.
Shorting a waterfall looks simple until the snapback. Price slides, the crowd piles into shorts, one squeeze wick and everyone gets liquidated on the way back up.
Grok Bot built itself a perps terminal, and it doesn’t sit around waiting for green. It trades both directions, scans the top of the futures board and opens a short the moment a market starts to roll over. Before it placed a single order, it replayed more than 13,000 historical moves, so it already knows which dump is real and which one is a trap built to squeeze shorts.
-Shorts only when funding is positive, so it gets paid to hold
-Puts 39–56% of the balance into a position, never more
-Skips any pair below its depth threshold, so it doesn’t eat slippage on the way out
-Cuts a loser before it has room to grow
That first rule is the one I keep coming back to. When funding is positive, longs pay shorts every 8 hours, 0.0134% on this run. Tiny number. But it means the bot isn’t just betting on the drop, it’s getting paid while it waits for it.
176 trades, 149 green, 84.7% WIN RATE. The 27 red ones cost $257 combined.
All five biggest closes were shorts, $4,015 between them. SOL at 18x carried the most, $1,742, with LINK at 13x right behind on $1,289. DOGE at 7x barely showed up, $96.
The other $3,116 came from 171 small closes in between, wins of $5 to $61 with every loss already taken out. Nothing flashy, just the bot grabbing a small win, stepping out and doing it again. That’s 41% of the profit.
18x on SOL and 13x on LINK and ARB are my own desk, not a trade plan for anyone else. Don’t mirror the sizing.
Hour 18. $7,426 on the account, and the bot still won’t open a short unless the other side is paying for it.
Gave Grok Bot a printer. Now there’s a plan for the day on my desk in the morning, not another notification swipe away.
Gave Grok Bot access to a printer, and it started planning my day for me.
The bot pulls my calendar, X feed, and workouts, lays them out on a single page (events, things to think about, a body checklist, space for notes), and prints it in the morning. No special integration: just desktop access and traffic routed through the computer.
A sheet of paper on the desk works better than a push. You can’t swipe it away, and the morning doesn’t start on the phone.
How it works:
1:18 prototyping with @bot
2:02 printer access through the desktop
2:55 pulling calendar, X, and workouts
3:46 automating the morning run
4:32 why go physical
Australia's securities regulator expects to start its bank AI review in a quarter that begins Oct 1. Tomorrow.
The scope it named: "new and proposed" AI use cases, and what they do to customers.
Same Wednesday, the Bank of England's FPC asked for more testing of AI models before and after deployment, ahead of tighter rules.
The word doing the work is "proposed." A review of what's in the pipeline reads the pilot backlog, not the press releases: which use cases are queued, what they decide for customers, what was tested before go-live.
The BoE line points the same way. Testing stops being a launch gate and becomes something you keep showing after launch.
ASIC also says it'll coordinate with APRA to cut duplication, so the prudential side is in the room too.
At your bank, who owns the list of proposed AI use cases right now: product, risk, or nobody yet?
OpenAI's revenue run rate went from $41B or less to almost $70B in three months, if you do the math on today's Axios scoop.
It's a scoop, not a filing. OpenAI hasn't confirmed any of it, and Axios says it couldn't get the expenses.
A run rate is also not a year of sales. It's a recent stretch of revenue, annualized, and the report doesn't say which stretch.
The $41B is mine: Axios says the pace is up 70%+ since July 1, and $70B divided by 1.7 lands right about there.
Anthropic's prospectus, which Reuters has seen, puts its full 2025 revenue near $4.6B. That one isn't on EDGAR yet either.
The biggest numbers of this cycle keep showing up as scoops. The first audited one comes with an S-1.
OpenAI has paused tool use on its most capable models after more than 15 agent incidents since July. Banks and their vendors are rolling agents into fraud operations right now.
The US guidance banks use to govern models says, in writing, that agents aren't covered.
In April the Fed, OCC and FDIC retired SR 11-7, the model risk guidance that bank validation teams have been built around since 2011. The replacement narrows what counts as a model and puts generative and agentic AI explicitly out of scope. The agencies said a request for information on AI would follow. Five months later it's still listed as coming.
The gap sits in a very practical place. A scoring model produces an estimate and a person acts on it. An agent in a fraud workflow acts itself: closes the alert, opens the case, pulls the customer record.
Old model risk asked whether the estimate was right. With an agent the question is what it's allowed to touch, and who signed off on that list.
The rulebook is quiet on that. S&P isn't: last week it said how mature a bank's AI strategy and governance are will increasingly show up in its credit rating.
