InspecTom

True Crimes | Stories | Investigations

[InspecTom @0xbtom]

@lctrnotes The staged grief on national TV is why parole keeps getting denied

[InspecTom @0xbtom]

For 9 days a 23-year-old mother cried on national TV and begged a carjacker to bring her 2 little boys home. She had drowned them herself. The first night, she went on camera in a sweatshirt from the man she was cheating with.

Next Thursday, she asks to be set free.

Her name is Susan Smith. On October 25, 1994, in Union, South Carolina, she strapped Michael, 3, and Alex, 14 months, into their car seats and let her car roll down a boat ramp into John D. Long Lake. It took about 6 minutes to sink.

Then she ran to a nearby house screaming that a Black man in a knit cap had stolen her car with her kids inside.

The whole country hunted a man who didn’t exist. She stood at press conferences next to the boys’ father, David, and wiped her eyes.

The man she was seeing was the rich son of her boss. He had just ended it in a letter. He didn’t want kids.

On November 3 she confessed.

In the video below, 30 years later, she sobs into a tissue on a prison Zoom call at her first parole hearing.

“I know that what I did was horrible.”

“I didn’t want to get away with it. I really didn’t. I was just scared.”

Her statement says she lost touch with reality that night. “I knew Jesus would take better care of them than I could.”

Then one of her prosecutors stands up. He brings up the sweatshirt. He asks how many Black men in red Mazdas got pulled over across America because of her lie. He describes standing on the bank with about 50 people as a tow truck pulled her car out of the dark water.

“Total silence.”

The boys’ father speaks with a photo of his sons pinned to his jacket.

“That’s only 15 years per child. Her own children. It’s just not enough.”

The board said no, unanimously. Of 360 letters about her case, only 6 asked for her release.

On November 19 she goes before the board again. David promised to be there every 2 years.

Watch her cry. Is that remorse, or the same act she put on for America in 1994?

[InspecTom @0xbtom]

@mmoklaaa He's turning every two-year hearing into a reminder of what she did. Hard to argue with that level of consistency from their own father

[InspecTom @0xbtom]

@tiltdiaries The sweatshirt says more than the tears

[InspecTom @0xbtom]

what the fuck. I asked Grok to build me a https://t.co/lXUje14ZuA terminal and it trades one coin at a time right in front of you. it called it Avenger Bot / AI AVENGER TERMINAL

$500 → $3,657 in ~25 seconds

how it works on screen:

→ a new https://t.co/lXUje14ZuA launch pops up
→ Grok checks 3 things: dev wallet, bundled buys, posts on X
→ all green → buys, and you watch the % go up live
→ one red → skips it. every skipped coin rugged right after
→ every sell drops a pin on the chart with the coin's logo and the profit

what it traded:

→ $SLOTHY · dev 2%, 12K posts on X → +146% → +$146
→ $BULLY · dev holds 44% → skipped → rugged
→ $MEOWSK · 19K posts on X → +212% → +$254
→ $INFERNO · dev 1% → +231% → +$411
→ $SHADOW · 61% bundled → skipped → rugged right after
→ $DUNE · looked clean → stop hit → −$17
→ $TEDDY · 58K posts on X → +684% → +$1,368
→ $PRISM · 27K posts on X → +225% → +$524
→ $RATTY · dev already sold → skipped → rugged
→ $LIFTOFF · 22K posts on X → +165% → +$471

"done. $500 → $3,657. want it in your wallet?"
tapped cash out. sent.

7 trades. 6 green. 1 loss of $17
3 skipped. all 3 rugged

the rules Grok wrote for itself:

1. dev holds more than ~10% → skip
2. bundled buys over ~25% → skip
3. dev already sold → skip
4. every buy gets a stop
5. one coin at a time. never all in

you're still aping https://t.co/lXUje14ZuA launches blind. Grok checks every one in a second and shows you why it buys

comment "CLEAN" and I'll show you how it works

[InspecTom @0xbtom]

I gave Grok Bot $150 on Halloween night and told the motherfucker not to wake me up

the morning P&L card said $8,429.00 and I’m still f*cking staring at it

and the card isn’t even the best part. wait till 2:03 AM.

same as last time, it opens empty. $150, Face ID, deposited. the island says trading started at 7:31 PM.

then it starts brewing.

HI, +$36. Gato, +$67. DESSA, +$100. small and steady, and every close pops the island open with the token’s real 24h chart and exactly where it bought and sold.

then it’s 2:03 AM.

AgenC closes. +$1,490 in one trade, and the island lights up with “BIGGEST CLOSE ON HALLOWEEN”.

it got in right at the token’s start, rode the first big push and got out. AgenC ran +951% that day. it took a bit more than half and left the rest.

the rest of the night:

FLUKE +$376

Leverhedge +$956

a stream of small ones, three, STONK, LMAO!, swordcat, OTC, CATE, baton, +10-40% each

the big swing was sizing. on AgenC it went in with about 36% of the balance. on the routine stuff it stays small.

and the boring part still won. more than half of the $8,279 came from those small takes compounding all night.

in the morning, one tap on share. +$8,279.00, 56.2x, the balance curve for the whole night, top 3 closes. save image. “Saved to Photos ✓”.

77 of 88 green.

it trades all night and hands me a receipt in the morning.

happy Halloween

[InspecTom @0xbtom]

bro what the actual f*ck. Grok dropped a https://t.co/lXUje14ZuA terminal that runs like a to-do list

every coin hits 3 columns: checking → holding → done

$1,500 → $6,420 in 18 seconds

how it works on screen:

→ new coin lands in CHECKING
→ Grok scans dev wallet, bundles, holders, X posts
→ passes → BUY → slides into HOLDING
→ fails → SKIP → straight to DONE
→ holding coins get sold near the top and drop into DONE with the profit
what went through the board:
→ $NOVA · 312 posts on X → +112%, +$280
→ $BLIP · dev holds 27% → skip → rugged
→ $ECHO · smart wallets in → +172%, +$430
→ $MOCHI · bundle moving → out, -$60
→ $DRIFT · volume 4x → +224%, +$560
→ $Pluto · same dev as a rug → skip → rugged
→ $GLOW · curve 48% → +164%, +$410
→ $TOAD · dev sold 2s in → skip
→ $VIBE · KOLs aping → +288%, +$720
→ $ORCA · 41K posts on X → +352%, +$880
→ $FUZZ · bundled 37% → skip → rugged
→ $JOLT · curve 88% → graduated → +$1,510
→ goal 4x hit. Grok closed everything
16 coins. 9 bought. 8 wins. 1 loss of $60
7 skipped. 3 of them rugged seconds later
the rules Grok wrote for itself:

dev holds more than 10% → skip

bundles over 25% → skip
same dev as an old rug → skip forever
dev sells in the first seconds → skip
bundle moves → exit now
goal hit → close every position
one board, every decision visible. you watch Grok think in real time
illustrative build, numbers simulated

[Rugikk @rugikkk]

https://t.co/FMtX4bmNYh

[InspecTom @0xbtom]

put $150 into Grok Bot on Halloween night, went to bed, woke up to a $8,429.00 balance

not gonna lie I read it three times before coffee

but the number isn't the story. 2:05 AM is.

it starts at zero like always. wallet, $150, Face ID, done. island pops "trading started" at 9:13 PM and the blood moon is already up.

first hour is quiet.

HEX +$36. CANDY +$67. COFFIN +$100. SKULL +$214. every close opens the island with the entry, the exit and a little 24h chart of where it got in and out.

nothing crazy. just stacking.

then 2:05 AM.

WITCH closes. +$1,490.71 in a single trade. $285 in, $1,775 out, +523%. the whole screen goes orange and the island says "BIGGEST CLOSE ON HALLOWEEN 🎃"

it put roughly a fifth of the balance into that one. everything else got small size.

after that it just kept going:

> VAMP +$956
> PUMPKN +$742
> CRYPT +$611
> HAUNT +$488
> BATS +$376
> and a pile of small ones, BOO, GHOUL, BREW, WOLF, WEB, +10-50% each

the big closes made the headline, but almost 40% of the profit came from the small stuff nobody screenshots.

8:49 AM. one tap on share. +$8,279.00, 56.2x, the whole night as one curve, top 3 closes. save image. "Saved to Photos ✓"

88 trades. 77 green.

i slept, it hunted.

happy Halloween 🎃

[InspecTom @0xbtom]

I let an AI trading bot handle $150 while I did absolutely nothing. No staring at charts, no panic-selling, no late-night entries.

A few moments later, the balance was already climbing. First $166, then $206, $270, and eventually over $1,200.

The crazy part? This isn't someone manually buying every dip. The bot has 7 AI agents running simultaneously, each responsible for a different part of the trading process.

The scanner searches for newly launched Solana tokens, filtering out suspicious projects before they even reach the next stage.

Then the analyst scores potential entries. Tokens that fail the checks get rejected, while approved opportunities move to the executor, which handles the actual trades.

There's also a dedicated risk-control agent monitoring open positions. It uses stop losses and trailing stops to lock in profits or limit losses when a trade moves in the wrong direction.

One of the trades shown in the video is especially wild. A position worth $45.32 grew to $241.20 before the bot automatically secured a $205.40 profit.

Another token surged by more than 570%, with the bot tracking the move instead of relying on someone to watch the chart every second.

Meanwhile, the main dashboard kept updating as new positions opened, profits accumulated, and risk controls kicked in automatically.

By the end of the clip, the displayed balance had climbed to $1,284.16, with the interface showing a gain of more than $1,100.

That's the appeal of AI-powered trading: the system can scan opportunities, evaluate tokens, execute trades, and manage risk without requiring constant manual input.

Would you trust an AI bot to trade Solana tokens while you sleep, or would you still prefer to control every trade yourself?

Send this to someone who spends their entire day watching crypto charts.

[InspecTom @0xbtom]

MY BOT USED TO ONLY BUY. NOW IT SHORTS TOO, AND HALF THE PROFIT CAME FROM COINS GOING DOWN.

$2,000 → $12,690. 11 trades. 6.35x.

Sim mode, same engine, same rules.

The long-only version had one big blind spot: every red chart was dead time. So I mirrored the checklist.

How the terminal runs now:

→ PAIRS: 7 Solana coins on the 1m chart. $WIF $JUP $BONK $TRUMP $POPCAT $PENGU $RAY. nothing else gets scanned
→ ROTATION: two setups per coin, then it moves to the next pair. it never stares at one chart all day
→ SCAN: 4 agents, one job each. structure, liquidity, order flow, RSI/EMA. all four go green or the setup is gone
→ DIRECTION: higher low + bids stacked = long. lower high + asks stacked = short. same 4 checks, flipped
→ SETUP: confidence score first. only then does it draw the forecast cone into the empty space on the right
→ EXECUTION: 5x, TP and SL placed before the fill, size scales with the balance
→ EXIT: TP or SL. no “let’s see where it goes”
The split:
→ Longs: 5 trades, 5 green, +$5,593
→ Shorts: 6 trades, 5 green, +$5,097
Biggest long: +$2,538 on $PENGU
Biggest short: +$1,898 on $POPCAT
The one I keep rewatching is the red one.
$BONK short. Price swept the highs, all four agents called a rejection, and it ripped straight up anyway. −$144. Stopped out on the exact line it drew before entry, then it moved on to the next coin with a fresh scan. No revenge trade.
Balance: $2,000 → $2,926 → $4,804 → $6,822 → $10,153 → $12,690

Most bots only win when the market goes up. This one doesn’t care which way the candle closes. It just needs the four checks to agree.

[InspecTom @0xbtom]

Binance just lost $6.36B. Here’s how it went down

At 20:05 UTC on Oct 29, the first transfers started leaving Binance hot wallets. About 20 minutes later, most of the money was gone

The prep started at least 36 hours earlier. The operator wallet was funded with small Tornado Cash withdrawals, and the drain code was test-run on unrelated wallets

On Ethereum, the attacker used EIP-7702 to attach a sweeper contract to a Binance hot wallet. The wallet basically turned into the attacker’s vacuum: everything inside got pulled out, and every new deposit was swept again right after it landed

The interesting part: the attacker showed up with 50 pre-signed authorizations, and only one of them matched the wallet’s nonce. They were guessing the nonce. My read: on Ethereum they had signatures, not live control of the keys

But on the other 9 chains there was no contract trick at all. Just plain signed transfers straight out of Binance wallets. That points to the signing infrastructure itself being compromised. Binance says it all traces back to a DevOps engineer’s laptop

Ethereum: ~$3.79B (200,630 ETH, 1.875B USDT, 823M USDC + 185 other tokens)
Bitcoin: 18,270 BTC (~$1.47B)
Tron ~$628M, XRP 233M, Solana 970K SOL
A second wave hit Avalanche and Polygon 3 hours later
Then came the race against the freeze button:
~325M USDT dumped through UniswapX for ETH at a 10%+ discount
ETH borrowed on Aave against USDT
Tether, Circle, Ripple and others still froze ~$2.7B before it could move
~$2.4B is still sitting in attacker wallets: 420K+ ETH and 18,270 BTC. Binance says user funds are safe

That’s 4x the Bybit hack, which held the record until yesterday

TRM Labs, Chainalysis and ZachXBT all point to the same people: TraderTraitor, North Korea’s Lazarus unit
Kim’s guys just had the best evening in their history

[InspecTom @0xbtom]

I gave Grok one prompt and 5 SOL.

19 seconds later it had 31.07.

the sentence: "build me a https://t.co/lXUje15xk8 terminal that trades for me"

3.8 seconds later the terminal existed. it even signed it UMKA

everything that came out of that one prompt:

→ live bonding curve feed
→ dev wallet + bundle scanner
→ X trend reader
→ auto entry / auto exit
→ rug guard
→ full terminal UI

then it went to work. coins float up the curve, the ones that pass its filters get locked in, and it sells either mid-climb or the moment they graduate to PumpSwap

the tape:

→ $GROKFROG · trending #1 on X → in 1.8 → +0.61 SOL
→ $SLOPCAT · dev holds 31% → skipped
→ $HYPEE · smart wallets in → graduated → +2.35 SOL
→ $NOFACE rugged. it was never in
→ $GROKMOON · first 40 buyers → graduated → +2.16 SOL
→ $LILPUMP · same dev as an old rug → skipped
→ $CHONK · +115% → +2.53 SOL
→ $DEGENX · block 0 entry → graduated → +147% → +3.08 SOL

the scoreboard:

18 buys. 18 green exits. 6 rode all the way to graduation
14 coins filtered out before it touched them
6 rugs on screen. exposure to all 6: zero

the playbook it wrote for itself (it's right there in the code):

1. dev holds over 10% → skip
2. bundles over 25% → skip
3. under 8K posts on X → not interested
4. size every buy by confidence
5. dev sells → exit now
6. graduation → sell everything

the wild part isn't the coins it picked. it's that it wrote the rules it picks them by

meanwhile most people are still refreshing https://t.co/lXUje15xk8 and hitting buy with their thumb

illustrative build, numbers simulated

[Rugikk @rugikkk]

https://t.co/FMtX4bmNYh

[InspecTom @0xbtom]

ok this is f*king unreal. Grok built me a https://t.co/lXUje14ZuA terminal and I just sat there watching it trade

$800 → $4,055 in about 20 seconds

every coin goes through the same pipeline, live on screen:

→ spotted on https://t.co/lXUje14ZuA
→ rug check: dev %, bundles, X hype
→ buy
→ sell near the top

if a single check goes red, it walks away

the full run:

→ $DOGGO · dev 3%, bundles 6%, 24K posts → in → out at +130% → +$260
→ $MEOWZ · dev sitting on 41% → passed → rugged 3s later
→ $FROGGY · 18K posts on X → +205% → +$410
→ $Waddle · dev wallet started moving → bailed early → −$35
→ $BRUNO · snipers bundled 46% → passed → rugged 4s later
→ $FOXXY · Elon replied → +265% → +$530
→ $HAMMY · 31K posts → +190% → +$380
→ $PANDY · dev already rugged once before → passed → rugged 2s later
→ $OWLY · 41K posts → +345% → +$690
→ $BUNZ · 58K posts → +510% → +$1,020
→ 5× goal hit. buying stops on its own

tap withdraw. confirm. money's in the wallet

10 coins scanned
7 trades: 6 green, 1 small red (−$35)
3 passes: every single one rugged within seconds

the playbook it runs on:

1. dev owns >10% → pass
2. >25% bundled → pass
3. dev with a rug history → blacklisted
4. dev wallet moves → exit immediately
5. goal reached → stop and wait for me

most people are still opening dev wallets one by one on solscan. this does all of it in under a second, and you see why it buys or skips every coin

drop "TERMINAL" in the

[InspecTom @0xbtom]

WHAT THE ACTUAL F*CK

I gave a trading terminal $1,500 and went to make coffee

came back to a text: "5× hit · $7,892. keep going? (y/n)"

typed "y"

$1,500 → $9,248. 21 seconds. two taps on my phone. that's it

there's a white ball with eyes peeking out of the corner. it blinks, bounces on every fill, and its eyes turn into little smiles when the goal hits. I did not expect a trading bot to have a mood

it's Grok Bot running inside my UMKA TERMINAL. 4 agents, one job each:

→ HUNTER buys what's about to blow up on X
→ SNIPER gets in at block 0
→ CURVE rides the bonding curve
→ MIGRATE gets in right before a coin migrates

straight from the log:

[skip] $DEVRUG · dev holds 31%
[x] 27K posts on X → buying $WALRUS → +$430
[skip] $RUGLY · 41% bundled
[grad] $BERG about to migrate → in → +$388
[skip] $LASTONE · same dev as a rug
[x] 12K posts on X → buying $polar → +$744
[goal] 5× hit. keep going? (y/n)
[send] $7,748 → your wallet ✓

22 trades. 20 green. the 2 reds: -$38 and -$54

the edge isn't what it buys. it's everything it refuses to touch

its filters:

1. dev wallet over 10% → no
2. bundled supply over 25% → no
3. deployer linked to a past rug → blacklisted for good
4. hits the goal → stops and asks me
5. nothing leaves the wallet until I press withdraw

meanwhile people are still paying for "alpha" in Telegram groups

comment "TERMINAL" and I'll DM you the breakdown

illustrative build, numbers simulated

[InspecTom @0xbtom]

🔥 SHE LOOKS LIKE YOUR NEXT INTERNET OBSESSION. $9.6K A MONTH ON PAPER. 💸

🎀 Pink matching set. Long black hair. A tiny cross necklace. She stands in front of an open wardrobe, glances sideways, then raises her hand to her forehead with a little smile. 📸 The camera barely moves, but every pose feels like another frame designed to keep people watching. 👀

🤖 SHE NEVER EXISTED. THE VIDEO IS AI-GENERATED. No creator filming in a bedroom, no model, no expensive setup. AI can now produce realistic-looking characters, outfits, expressions and movements from a simple idea. 🔥 The real play is building a recognizable virtual personality and posting content people want to see again.

💰 Even students are experimenting with AI pages as a side hustle, hoping to earn money for tuition, college or everyday expenses. One viral clip can bring attention, but the bigger opportunity is turning that attention into a business through sponsorships, subscriptions and affiliate offers. 🎓 Would you have scrolled past, or watched twice? 👀

[InspecTom @0xbtom]

https://t.co/QEz0Nu3BUB

[InspecTom @0xbtom]

@itsKfrost I feel you, bro😄 That lamp in the background is really stylish

[InspecTom @0xbtom]

🔥 SHE KNOWS EXACTLY WHERE THE CAMERA IS. ONE LOOK, A SLOW TURN, AND $8.7K A MONTH ON PAPER. 💰

🤖 THE WOMAN, THE SCENE, THE ENTIRE MOMENT - AI-GENERATED. No restaurant booking, no camera crew, no real shoot. Creators can build virtual characters like this, produce short clips, and post them until one catches fire. 🔥 A viral page can open doors to subscriptions, sponsorships and other income streams. Even students are experimenting with AI content to help pay for college. 🎓 The trick isn't just making a pretty face - it's creating a character people recognize and want to see again. 🔒 Would you have guessed this was AI? 👀

🏮 Red lanterns glow above a crowded Japanese-style restaurant. She wears a red silk cheongsam with gold floral patterns, turning toward the camera while her fingers trace the fabric. 📸 The guests behind her keep eating and talking, while she holds eye contact, changes her pose, then leans closer for another shot. Every movement keeps the viewer watching. 👀

[InspecTom @0xbtom]

https://t.co/QEz0Nu3BUB

[InspecTom @0xbtom]

🔥 SHE KNOWS THE CAMERA IS WATCHING. ONE LOOK, ONE SMILE, AND $11K A MONTH ON PAPER 💰

🕯️ Warm red lanterns glow above a crowded nightlife spot. Women in silk dresses sit shoulder to shoulder, glasses in hand, while the room stays busy behind them. 🌹

❤️ The woman in the red floral dress leans toward the camera. She glances down, shifts her pose, then looks straight into the lens. Her fingers rest against her thigh before the final close-up brings her face right to the viewer. 👀

✨ The glossy fabric catches the warm light. Her bangs, earrings, makeup and the black trim on the dress stay consistent as the camera moves closer. Every little change in expression keeps the clip feeling personal, like a moment captured during a night out.

🚫 None of this has to be filmed in real life. The woman, the crowded room, the lighting and the camera perspective can all be created with AI. 🤖

The difficult part isn't making a pretty face. It's keeping the same character, fabric details, lighting and background consistent across the entire clip. That's what makes AI video look convincing instead of like a collection of random images. 🔍

💸 Most creators are still experimenting with disconnected AI clips. The bigger opportunity is building one recognizable virtual character and turning her into a consistent content brand. With the right audience, creators can explore subscriptions, sponsorships and other ways to monetize their pages.

👀 Be honest: did you notice the background first, or did the final close-up catch your attention?

[InspecTom @0xbtom]

https://t.co/QEz0Nu3BUB

[InspecTom @0xbtom]

THIS AI-GENERATED GIRL LOOKS LIKE MIA KHALIFA

[InspecTom @0xbtom]

https://t.co/QEz0Nu3BUB

[InspecTom @0xbtom]

ONE AI VIDEO CAN TURN A MANNEQUIN INTO CONTENT THAT LOOKS ALMOST REAL.

This clip shows a mannequin in a clothing store moving and adjusting the outfit as if it were a real person. The face, hands, body movement and fabric motion stay surprisingly consistent throughout the video.

The crazy part is how easy it is becoming to create scenes like this with AI. You can take a simple mannequin concept, generate realistic movement, add natural camera motion and turn it into a complete short-form video without filming a real person.