Mike Tyson says he walked out of prison with "300 or 400 million." About 8 years later he filed for bankruptcy. In the video below, Andre Ward asks him about the money. Ward starts: "I heard you say that when you left prison, you still had like 200 million dollars." Tyson corrects him: "No, no, peep game. When I went to prison I had 15, when I came out I must have had 3 or 4. Hundred million." How? "They're signing contracts in prison." Who brought them? "Don King." Then Ward reads Tyson's own old quote back to him: "I'm an extremist. I either have a lot of money or I have none. I have to live on top of the world or at the bottom of the ocean." Does he still feel that way? "No. I have a family and my family comes before I do because I already lived my life. I already had everything I ever wanted." His rule for his kids: "I'm not giving them anything. Everybody has to work. They have to work and earn their inheritance." Even the kids? "Definitely the kids." The other side: Tyson gives his own numbers, and the clip shows no records or contracts. Don King isn't in the clip to give his side. The math: Tyson was released in 1995 and filed for bankruptcy in 2003 with about $23 million in debt. Even if "300 or 400 million" is right, that's over $300 million gone in 8 years. So did Tyson lose it all by living at "the bottom of the ocean," or did the people signing his contracts lose it for him?

Joe Ligon was locked up at 15 for a crime that today might get him 5 to 10 years. He served 68. The bill: $3 million. In the video below, he walks out a free man at 83. He went in during 1953, when Eisenhower was president and Nat King Cole's "Pretend" was on the charts. That year he and four other Black teenagers took part in an alcohol-fueled spree of robberies and stabbings in Philadelphia. Two people died. They pleaded guilty to two counts of first-degree murder and got life with no chance of ever getting out. Ligon says he stabbed someone, but didn't kill anyone: "I'm sorry that I committed a crime. I'm sorry that someone was murdered." His public defender, Bradley Bridge, says the verdict came from "guilt by association." If the case went to trial today, "he'd probably be found guilty of a manslaughter charge or maybe third-degree murder, and might do 5 to 10 or 10 to 20." In 2016 the US Supreme Court ruled that juvenile lifers should have a chance to be resentenced. Ligon turned down parole because he didn't want to be supervised for the rest of his life. A federal judge then vacated his sentence, and he walked out with no parole. Back on the street, he said: "They didn't lock my mind up." The other side: two people were killed that night, and Ligon admits he stabbed one of them. His sentence was the one a court handed down for what happened. The math: $3 million over 68 years is about $44,000 a year, or $121 a day. CBS says that doesn't include medical costs. A 10 to 20 year sentence would have cost roughly $0.4 to $0.9 million. So was 68 years the price of justice, or the price of a sentence nobody ever revisited?

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This is f*cking insane. Andrej Karpathy, OpenAI co-founder and ex-head of AI at Tesla: "The hottest new programming language is English" In a 71-min Stanford lecture, he shows how 3 words took GPT from 17% to 78.7% accuracy, and how Transformers actually work Worth more than most $2,000 AI courses Bookmark and watch it today Then read the full article below ↓

This is f*cking insane. SpaceXAI engineer Amira Venkatraman: "I have a list of tasks I want to get done. At the end of the day, I close my laptop and go for a walk I can run as many agents as I want, and it won't affect my own machine" In this 90-second clip, she explains why she fires off Cursor Cloud Agents instead of running them locally Task list → Cloud Agents → Remote VMs → Self-verified work Most devs still babysit one local agent that eats their RAM. She closes the laptop and walks away Worth more than most $1,000 agent engineering courses Bookmark and watch it today Then read the full article below ↓

This is f*cking insane. SpaceXAI Lead Field Engineer Nick Miller, ex-Cursor: "Most meaningful work is bottlenecked by rote reactionary work These bots persist. They get smarter and smarter as you guide them" In this 27-minute talk, he shows how to build a software factory with Cursor, xAI and Grok Bot Context → Connectors → Outcomes → Bots that talk to each other Most people drown in Slack and email. He hands it all to a team of AI knowledge workers Worth more than most $1,000 agent engineering courses Bookmark and watch it today Then read the full article below ↓

f*cking insane. i built a 3-agent Grok office for my DMs. watch what happens when two brands try to book the same slot. advertising requests, partnerships, follow-ups. every conversation has its own context, missing details and dates i need to remember. so i split the work between three agents and gave them one rule: “prepare the replies. check the calendar. leave the commitments to me.” the advertising agent reads the brief and figures out what’s missing. the partnership agent handles collaboration requests. the manager checks dates and keeps the conversations connected. the video follows six threads through that workflow. NOVA asks for Friday at 18:00. LUMA wants the exact same slot. meanwhile, ORBIT wants a collaboration without enough detail to put together an offer. separately, those look like ordinary messages. put them together and there’s a problem. watch the panels turn purple. the manager catches the overlap and finds Saturday at 18:00 as an alternative for LUMA. the reply gets drafted with that option, while the other agents prepare questions about the advertising rate and partnership scope. each draft keeps the original thread attached, so i can see what the person actually asked before approving anything. that’s the part i care about. an agent can write a convincing reply in seconds. i still need it to notice when that reply would create a problem in another conversation. by the end, three replies are ready for review. the missing information is visible, the scheduling conflict has an alternative, and the final decision comes back to me. 6 threads → 3 agents → 1 calendar conflict caught → 3 prepared replies. would you let your agents hit send, or keep that last click?

47 DMs hit my inbox at once. one of them was a scam wearing my own name zynexsol vs zynexso1 one character swapped. a "collab offer" asking to "confirm payout via link" i never saw it. the machine jammed before it reached me Grok agents run my inbox, each with one job: intake classifies every message the second it lands verify checks who's really writing draft prepares the replies in my voice scheduler queues the rest for later → a card hits verify with a sender mismatch: the route blocks and the whole machine stops → verify finds the cause, a 1 where an l should be: the message goes to quarantine → a new rule gets written on the spot: never open payout links from unverified senders → the gears restart: real messages land in review and the drafts wait for my yes the dangerous DM is never the obvious spam. it's the one that looks exactly like someone you trust Intake sorts. Verify doubts. You decide. every DM has to clear: > who really sent it > what they want > a draft that waits for your yes paste this into Grok Bot: "Run my DMs as four agents: intake, verify, draft and scheduler. Check every sender handle character by character and every link before drafting. Quarantine anything that doesn't match, add a rule to rules.md every time, and send nothing without my yes" start with one inbox you actually check, not all of them full setup below

holy sh*t. Karpathy's LLM wiki idea, rebuilt as three Grok Bots that never overwrite what you told them stop re-explaining your life to AI every chat. drop your files once and let the wiki build itself three bots, one brain: the reader takes every PDF, link and note you drop and locks the original. raw/ is read-only, forever the librarian compiles it into wiki/ pages and keeps a link back to the exact source the checker audits everything and hunts for two sources that disagree watch what happens with one launch date: → source_01.pdf says "launch planned for Friday". locked → the librarian writes project.md: Friday, linked to source_01 → you ask "when do we launch?". the answer gets filed back as a page, so the brain grows every time you use it → source_02.pdf drops: "launch moved to Monday" → a normal AI quietly overwrites Friday and sounds just as confident → the checker flags it: CONFLICT FOUND → both versions stay. Friday ← source_01, Monday ← source_02 → the page now says: "Friday or Monday? ask the user" a second brain that sounds sure while remembering the wrong date is worse than no brain Reader collects. Librarian connects. Checker questions. every page has to show: > the claim > the source it came from > what disagrees with it paste this into Grok Bot: "Build me a second brain with three bots. Reader saves every file I send into raw/ and never edits it. Librarian compiles wiki/ pages with a link to the source for every claim, and files my good questions back as answer pages. Checker audits the wiki for contradictions. When two sources disagree, keep both and ask me. Never overwrite silently. Show me the structure first and do nothing until I confirm" start with one project, not your whole life bookmark this @karpathy

your AI inbox bot is about to promise something you never agreed to a client DMs: "could we launch Friday? budget still pending." a normal AI reply bot answers in 2 seconds: "Friday is confirmed. we are ready to launch." sounds great. except the budget was never approved so i built a Grok inbox crew where one message goes through six bots: > Inbox scout catches the message > Intent sorter finds what they want: launch request, date Friday, budget pending > Context finder pulls the missing detail: Friday is only proposed > Reply writer drafts the answer, a little too confident > Fact checker blocks it: "unsupported promise" > Approval gate holds the fixed draft for you final draft: "Friday works if the budget is approved." status: not sent. your call. My read: everyone's racing to make AI reply faster. the real feature is the bot that catches the reply you'd regret sending

HOLY SH*T, I SENT SIX BOTS TO FIX A DEAD NETWORK AND THEY WOKE UP A GIANT MECHANICAL SPIDER. it’s called GROK BLACKOUT. i made an animation where you follow a repair crew through a machine without knowing what the machine actually is. everything starts offline. connections fail, the diagnostics go quiet, and one golden scout is still moving through the wreckage. then the repair bots arrive. each has a separate job: ROUTE, MEMORY, POWER, SYNC, LOGIC and HEART. they carry replacement modules into position, reconnect the broken paths and send signals back toward the core. watch the six panels at the bottom. every subsystem coming back online corresponds to something changing inside the machine above it. for most of the video, the camera stays close enough that you’re looking at individual parts. a joint looks like a junction. a leg looks like a route between nodes. the closed eye looks like another piece of machinery waiting for power. then all six signals reach the center. the music drops out. the iris starts moving. the camera pulls back, and suddenly every connection you’ve been following belongs to the same enormous creature. my favorite detail is that the little repair bots are still there when it wakes up. you finally see how small they are compared with what they’ve just switched on. i spent all that time making a rescue mission, and the ending feels like six tiny idiots realizing they should’ve read the manual first. watch it again after the reveal. the legs were there the whole time.

HOLY SH*T, I MADE A GOLDEN SPIDER FOLLOW 8 WALLETS AND EVERY TRAIL LED BACK TO THE SAME PLACE. watch what happens when the camera pulls back. it’s called GROK TRACE. i built a visual investigation around one question: what would eight separate wallets look like if they all received funding from the same source? at first, the screen is a mess of connections. the spider moves around the edge of the network, picking up one path at a time. you can follow what’s happening locally, but you can’t see the whole structure yet. then the gold trails start meeting. each new connection changes how you read the previous one. by the time the eighth path lights up, the interesting part is no longer any individual wallet. it’s the point they all lead back to. that’s when the camera finally gives you the full picture. i wanted the investigation itself to be interesting to watch. you should be able to follow the question before you understand every panel on the screen. the moving packets show the paths being traced. the lower panels track the investigation. the spider gives your eyes something to follow through all that noise. this particular case uses symbolic wallets and an illustrated network. it shows the investigation i wanted to visualize, without pretending to expose real people. and there’s a distinction i wanted to keep: a shared funding source gives you another question to investigate. it doesn’t automatically prove that one person controls every wallet. the satisfying part is that the answer was on screen before the camera let you see it. watch once following the spider. then watch again following the gold lines. at what point did you notice they were all heading to the same place?

HOLY SH*T I GAVE 6 AI AGENTS 24 HOURS TO GET @ELONMUSK TO REPLY. AT 21:00, ONE OF THEM KILLED THE WHOLE PLAN. five agents were ready to tag him. the sixth said one sentence: "what are we actually showing him?" no proof, no post. here's how 24 hours went: 03:00 the build crashed 09:00 the first real user tried it 15:00 the team split: tag Elon now, or prove it first 21:00 CRITIC rejected the pitch: "unsupported claim" so they threw the hype out and rewrote it around one thing: a working prototype. then the CEO hovered over "Post"… and had to wait for the critic. watch what they sent him 👇

i gave Grok Bot $5,000 of fake money and one night to see what six agents would do with it 22:00 to 06:00. no live funds. by morning the simulated balance was $25,000. 92 trades. 69 green, 23 red. each agent got one job and stayed in its lane: > NOVA, momentum: +$8,067.73 > ORBIT, reversal: +$6,608.02 > ECHO, breakout: +$1,718.73 > IRIS, volume: +$1,648.14 > ATLAS, mean revert: +$1,154.84 > FLUX, trend: +$802.54 six lanes, and they add up to exactly +$20,000 the part i keep staring at is 05:21. NOVA closes one trade for +$3,606. on a $5,000 start that would've been a few hundred bucks. by 5 am the balance had grown so much that the same kind of move paid thousands. and the 23 losses? most were under $150. none of them came close to one big close. nobody hit a 1,000% coin. it was six bots taking small wins all night and cutting losers fast. no real money this time. this was the dry run. the question is what it does when it's live 👀

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