6vintik9

[6vintik9 @6vintik9]

@BRitanySHY Absolutely. A 20x return means nothing without understanding the downside, drawdowns and risk exposure. The goal isn’t just to make money — it’s to survive the losses too.

[6vintik9 @6vintik9]

🎃 I CAN’T BELIEVE WHAT HAPPENED.

I gave a Grok-inspired AI trading bot $1,000 for a Halloween challenge.

The mission? Turn $1,000 into as much money as possible before midnight.

At first, things looked promising.
Then volatility hit.
Some trades went wrong.
The portfolio took a few serious hits.

But the AI kept trading.

And the final result?

Starting balance: $1,000
Final balance: $20,000
Simulated return: +1,900%
Total trades: 38

That’s a 20x return in a single Halloween simulation.

Would you trust an AI bot with $1,000 of your own money?

Happy Halloween.

[6vintik9 @6vintik9]

@BRitanySHY It’s scary how easily misinformation can go viral. People share first and fact-check later — and by then, the damage is already done.

[Britany Shy @BRitanySHY]

This week a post claiming Lily Phillips was diagnosed with AIDS after sleeping with 10,000 men in 24 hours went viral. Nobody stopped to do the math. 10,000 men in 24 hours is one every 8.6 seconds.

There is no medical report. No statement from her. No named source. The whole thing traces back to one post on October 29 that said "reportedly" and linked to nothing.

What she actually did is wild enough on its own. In December 2024 a YouTube documentary followed her through a day with just over 100 men. In 2025 she claimed 1,113 in 12 hours. Those numbers are hers. The 10,000 and the diagnosis came from someone else.

It still spread, because it had everything the internet wants: a famous name, sex, a huge number and a punishment at the end. Even Grok jumped into the replies to say it was false, and the reposts kept coming.

Rumors about someone's health are the easiest lie to post and the hardest to take back. If it were your name, how would you even prove it isn't true?

[SuccessDecoded @SuccessDecodedX]

Jamie Dimon pictures a 3.5-day week while his own bank demands five.

Thirty years from now, Dimon says, the next generation will probably work four or three and a half days a week and earn around $300,000 each. He calls that a great life, and then he turns to the bad part.

The bad part, for him, is hackers. On the way there he says "I'm not going to do the jobs part unless you want me to," and moves straight on to cyber risk.

You'd have to sit through 40 minutes of his October 14 talk at the Economic Club of Chicago to reach that sentence, and it goes by in about two seconds. In our cut it sits at 0:58.

His own bank answered a smaller version of the jobs question last year. JPMorgan ordered staff back to the office five days a week starting March 2025, and Dimon told employees he didn't care how many of them signed the petition against it.

This is my reading; he never said it. A forecast 30 years out costs the person making it nothing, while a schedule for next Monday costs him plenty, so the far promise gets the microphone and the near question gets skipped.

A manager can run the same test on any boss. Ask what changes for the team in the next 12 months, and listen for whether the answer comes back as a date or a decade.

The people who'd need that 3.5-day week are the ones whose jobs he chose not to talk about.

[6vintik9 @6vintik9]

@pilvex 163 security flaws in one update is insane. Everyone should check their iPhone right now.

[pilvex @pilvex]

APPLE JUST FIXED 163 IPHONE SECURITY FLAWS IN ONE UPDATE. ANTHROPIC IS CREDITED ON 3 OF THEM, OPENAI ON 4. CHECK YOUR VERSION NOW

Apple's security notes for this update, in numbers

iOS 27.2 came out October 26. what's in it:

→ 163 CVEs, every one listed on Apple's page
→ WebKit, the engine behind Safari: a web page could run code on the phone
→ two ways for a page or app to break out of its sandbox
→ Mail: Hide My Email could leak your real address
→ Accounts: an app could get around your privacy settings
→ Anthropic, OpenAI and Calif in the credits, one WebKit bug credited to both AI labs
→ none of the 163 is marked as exploited

the one flaw Apple says may have been used is on older iPhones. iOS 18.7.11 for the XS, XS Max and XR fixes a CoreGraphics flaw where a crafted file could run code. Apple says it "may have been exploited in an extremely sophisticated attack" against specific people on versions before iOS 27. phones still on iOS 26 got 26.7.2 the same day

the check takes ten seconds:

→ Settings → General → Software Update
→ 27.2, 26.7.2 or 18.7.11 means you're patched
→ anything older is missing these fixes

the screen in the video is illustrative, every number is from Apple's notes

what version is your phone on right now?

[AIroniX @AI_roni_X]

$3.3 BILLION MOVED FROM BINANCE IN 17 MINUTES. HACK OR MAINTENANCE?

At 20:24 UTC, a Binance hot wallet sent ~167K ETH, ~$1.6B USDT and 60+ other tokens to a brand-new address.

17 minutes later, another Binance wallet sent 780M USDC to the same address.

On-chain analysts suspect a breach. Binance hasn’t commented yet.

Could be a hack. Could be routine wallet maintenance. No confirmation so far.

The market reacted anyway: $629M in positions liquidated within an hour.

If you have funds on Binance:
- Follow only Binance’s official channels
- Enable withdrawal address whitelisting
- Ignore DMs claiming to be support

Don’t panic. Don’t trust rumors. Wait for confirmation
Not your keys, not your coins
Developing story. A hack has not been confirmed

[6vintik9 @6vintik9]

@Pannebaker90678 Thx

[6vintik9 @6vintik9]

I gave an AI trading agent $200.

It turned that into $3,643.

36 trades.
72.2% win rate.
6 AI agents working together.

One scans the market.
One filters out risky tokens.
One analyzes opportunities.
One executes trades.
One manages risk.
One logs every decision.

No human clicking through charts all night.

The interesting part isn’t the dashboard.

It’s the idea that a team of AI agents could run an entire trading strategy.

Would you trust AI with your $200?

[6vintik9 @6vintik9]

@GuessWhichHalf The fact that 110 robots can move in sync like that is wild. Imagine what these systems will be capable of in 5 years

[6vintik9 @6vintik9]

@flux_daily Curious to see how this performs when the market gets messy

[Owlgorithm @Owlgorithmm]

in late 2008 Elon Musk watched Detroit line up for billions meant for clean cars. Tesla later borrowed $465 million and paid it back 9 years early.

in the clip below he explains where a $25 billion clean car fund was going.

Congress had approved the loan program to develop energy-efficient vehicles. then the big three came to Washington, he says, and asked for the money to cover their day-to-day operations.

$15 to $25 billion, by his count, would carry them to about February.

"i'm not kidding. it's not even an exaggeration."

Tesla asked for something else. money to build lower-cost mass market cars, which he calls the exact intent of the law.

"hopefully, there's still some money left over to actually do that after the big three have taken what they will take."

GM and Chrysler both went bankrupt in 2009. Tesla got its loan in 2010 and repaid it in 2013.

who spent the government's money better - Detroit or Tesla?

[6vintik9 @6vintik9]

@VARnaldinho Yeah, Risk management is what separates a profitable strategy from a lucky streak.

[6vintik9 @6vintik9]

@flux_daily This is exactly why iOS privacy claims deserve scrutiny. But is there actually evidence that deleted photos remain accessible this way?

[Flux @flux_daily]

🚨 Your "deleted" photos might not be gone. Even after clearing the "Recently Deleted" folder, iOS keeps compressed thumbnails in a hidden system cache for Spotlight search.

​Third-party apps with broad file access could potentially read these lingering thumbnails.

​Audit your file permissions and remove access for apps that don't truly need it. Your privacy settings matter more than you think.

​Have you audited your app permissions lately? What's the most surprising app on your file access list?

​#AI #Privacy #SurveillanceCapitalism #BigTech

[6vintik9 @6vintik9]

@thewrongpixel Exactly. One lucky trade proves nothing — consistent results across different market conditions would be the real test.

[6vintik9 @6vintik9]

@thewrongpixel This is actually a smart use case for AI agents. The landing page consistency is what makes the difference.

[The Wrong Pixel @thewrongpixel]

A full marketing team for a $20 product? Easy, and the result is better than most agencies send back.

I took a $20 skincare product from Naturium and handed the work a small marketing team would normally do to three AI agents: one did the research, one wrote the ad and one built the landing page.

I ended up with an ad built around a single reason to buy, plus a page that carries that same promise from the moment someone clicks.

Most brands lose people right at that click. The ad says one thing, the visitor lands on a homepage talking about something else, and now they have to figure out for themselves whether they’re in the right place.

The researcher

I gave the first agent the product page, the photos, the price and the customer reviews, and asked it to find the strongest reason people buy this product.

It came back with who the buyer is, what makes them buy, the facts that back it up and the photos that show it. I asked it to source every claim or mark it as an assumption, so I could see which parts were facts and which were guesses.

It settled on [BUYING MOTIVE], and the ad and the page were built on that.

The creative director

The second agent got the research and was allowed to sell exactly one motive, so it couldn’t fall back on listing every benefit the product has.

It wrote one ad with the copy, the image placement and the button text: [AD HEADLINE].

The landing builder

The third agent got both the research and the ad. A page written from the product alone tends to wander off from whatever the ad promised.

I asked for a page where someone who clicked recognises what they came for straight away, so it opens on the same promise as the ad and keeps it all the way down to the button.

Claude then put all three outputs together into the assets you see above.

Why I didn’t do it in one chat

When I run everything through a single chat, I keep re-explaining the product at every step, and by the time I get to the landing page the original idea has gotten lost in everything said along the way.

With three chats, each one only works on its own piece. I decide what moves forward, so the motive from the research makes it into the ad and the page without getting watered down.

Setting it up

Make one project and put the product brief in it, so every chat works from the same facts.

Open a separate chat for each role. Once you’re happy with a result, paste it into the next chat yourself rather than expecting it to remember.

To test another angle, keep the product facts, swap in a different buying motive and run the ad and the page again. You’ll have a second ad and page pair to test against the first.

[Filosof @fxlxsxf]

a grok bot can screen a solana memecoin in a few seconds. the useful part isn't that it's fast. it's that it says no to almost all of them.

and it doesn't need your keys or your wallet to do any of this. the data is public and free.

walk through what it actually checks, in order:

> PULL IT: grab the token from public data (dexscreener, the solana rpc). age, price, liquidity, how many holders. no account needed
> LIQUIDITY: if one sell would tank the price, it's done here. most die at this step
> HOLDERS: top 10 wallets holding 40%+ of supply means a handful of people can dump on you. rejected
> THE DEV: how much is the deployer still sitting on, and is the mint or freeze authority still active. if they can print more or freeze your sells, out
> LP: is the liquidity locked or burned, or can it be pulled. unlocked lp is a trapdoor
> FIRST 60 SECONDS: bundled buys at launch means fake demand, one actor wearing 30 wallets. flagged
> THE CROWD: this is the part only grok has. it reads x natively, so it can tell you if real accounts are talking or if it's 400 fresh bot accounts posting the same line
> TOO LATE: already up 80% before you saw it. the easy money already left

run that pipeline over a day of launches and the output is tiny. most of the feed gets killed at liquidity and holders, the cheap checks, before it ever bothers looking at the contract.

the one thing to keep in your head: a bot like this reads and reasons. it does not touch your money. it hands you a short list and you decide. the second you let it buy on its own, with your keys, it stops being a filter and becomes a liability.

a memecoin screener isn't valuable because it finds gems. it's valuable because it throws out the 40,000 that would've cost you.

i broke down every way a grok bot can touch your crypto, and which setups keep your keys out of its reach, in the article below ↓

[6vintik9 @6vintik9]

@AI_roni_X Exactly. A high win rate means nothing if the risk management isn’t there.