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Curiosity today. Intelligence tomorrow.
Always learning. Always evolving

[Bull Theory @BullTheoryio]

You can't make this up.

5 of the Magnificent 7 are down more than 10% from their all time highs, and 2 are already in a bear market.

• Google $GOOGL: down -31.4%

• Meta $META: down -22.5%

• Tesla $TSLA: down -17.9%

• Amazon $AMZN: down -16.0%

• Nvidia $NVDA: down -12.9%

• Microsoft $MSFT: down -6.5%

All this while the S&P 500 $SPX is trading just 1.8% below its all-time high.

[Standout @Standout_x]

@CryptoTeddi Fair point, if those freezes are real that changes the picture. Do you have an address or a link for the 1.5B USDT and the 823M USDC? Circle only freezes on legal orders, so a freeze that size should leave a clear trail on chain

[Standout @Standout_x]

A $2.7B transfer is alarming. It still isn’t proof of a hack.

On-chain trackers flagged billions in assets moving from wallets attributed to Binance across five blockchains. Binance hasn’t confirmed a breach, and the transfers could be an internal reshuffle.

Meanwhile, Ethena says its exchange-exposed collateral is held with off-exchange custodians.

For now, this is a developing security concern—not a confirmed Binance hack.

[Watcher.Guru @WatcherGuru]

JUST IN: Crypto market crashing.

$SOL falls under $96
$XRP falls under $1.25
$ETH falls under $2,250
$BTC falls under $78,500

Over $600,000,000 in leveraged crypto long positions have been liquidated in the past 30 minutes.

[Standout @Standout_x]

@dawerhix Waiting for Binance to publish something before believing any of these numbers. Panic posts always come first and the data comes later

[Standout @Standout_x]

@CryptoTeddi @binance The first thing to check is whether withdrawals actually work. Everything else on this list is speculation until then, and I still cannot find an official statement

[CryptoTedd @CryptoTeddi]

What to watch next on Binance:

• Do withdrawals stay open?
• Where the ~195K ETH goes: bridge, mixer, or nowhere
• An official word from @binance

BNB fell as much as 9%, and ~$629M in longs got liquidated in an hour.

Keeping funds on Binance tonight? 👇

NFA

[kinet @_kineticlab_]

https://t.co/zh4d13geyu

[Standout @Standout_x]

@dawerhix Waiting for the proof of reserves update before I believe any of the numbers. Panic posts always come first and the data comes later

[Standout @Standout_x]

@kloss_xyz Telling an agent to be careful is just a suggestion once it has root access

[Mr Tactical @MrTacticalX]

I asked Claude Opus 5.5 to build an oak tree in Blender.

Then I shook it…

55,000 leaves. Every one falls with real physics.

⏱ 3 hr 50 min
💰 $59.65

[Issa @issatheblows]

what the f*ck. Grok built a https://t.co/nz9h9KX9oH app and it trades while I watch

$800 → $4,055 in 17 seconds

the app shows every step for every coin:

→ Found on https://t.co/nz9h9KX9oH
→ Rug check: dev wallet, bundles, X posts
→ Bought
→ Sold

one red ✕ on the rug check and it doesn't buy

what it did:

→ $DOGGO · dev 3%, bundles 6%, 24K posts on X → bought → sold +130% → +$260
→ $MEOWZ · dev holds 41% of supply → skipped → rugged 3s later
→ $FROGGY · 18K posts on X → +205% → +$410
→ $Waddle · dev wallet moved → Grok cut it early → −$35
→ $BRUNO · 46% bundled by snipers → skipped → rugged 4s later
→ $FOXXY · Elon replied → +265% → +$530
→ $HAMMY · 31K posts on X → +190% → +$380
→ $PANDY · same dev as an old rug → skipped → rugged 2s later
→ $OWLY · 41K posts on X → +345% → +$690
→ $BUNZ · 58K posts on X → +510% → +$1,020
→ goal 5× reached. Grok stopped buying

I hit withdraw. confirm. sent

7 trades. 6 wins. 1 loss of $35
3 coins skipped. all 3 rugged within 4 seconds

the rules Grok wrote for itself:

1. dev holds more than 10% → skip
2. bundles over 25% → skip
3. same dev as an old rug → skip forever
4. dev wallet moves → get out now
5. hits the goal → stops buying and waits for me

you're still checking dev wallets by hand. this app does it in half a second and shows you every step

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

illustrative build, numbers simulated

[Standout @Standout_x]

@0xNeuroBlue “Nothing traded until the crawler read first” and the one thing we can’t see is the trades

[Standout @Standout_x]

A humanoid robot just played checkers inside a world that an AI made up on the spot.

That's Genie 4, the new world model from Google DeepMind, released on October 27. You can walk around in what it generates while it generates it.

It runs in real time and makes its own sound, from wind and waves to music to characters who talk back. You steer it with text. Tell it to rain, add a person, swing the camera, and the scene adapts on the fly. Kinda wild.

The checkers demo works because Gemini runs in the background. It watches the frames, breaks a goal into steps and checks that each one actually happened.

Testers are already using it. Filmmakers run several takes of a scene in seconds, and game devs get a rough playable prototype before they write any engine code.

It's still early. Objects drift the longer a session runs, and legible text is an open problem. For now it's a research preview for trusted testers, with Google AI Ultra subscribers getting it next and a waitlist open for Project Genie.

[Standout @Standout_x]

@pikacodes Does it actually feel close to a phone for gestures and scrolling, or is it just a nicer way to click through the simulator? That’s the part I care about

[Alex Nguyen @alexcooldev]

Holy sh**.... this account is pure gold 🔥

8.5M views with 1 single video

its literally just 3D explainer of how a household
object actually works

Fully edited with AI using
higgsfield content factory

then the caption says comment a word and
they DM you a paid guide

swap the guide for ur app

cooking app → how a pressure cooker works, comment COOK
skincare app → how sunscreen works, comment SPF

this format is a free customer machine

[Standout @Standout_x]

@hoshinoxbt Loops and graphs still run on prompts. Every node in the graph is a prompt somebody had to write well. Prompting didn’t die, it just moved one layer down

[Alpha Mom @YourAlphaMom]

Seedance 2.5 vs Kling 4.0: is better realism worth 16× the price? 👀

Same prompt. Side by side. Both made on @makeugc

My take:

1) Seedance looks more realistic, but Kling isn’t far behind.
2) Both followed the instructions well. But Seedance took 3 attempts to get a clean result. Kling got it right on the first try.
3) Kling is ≈16× cheaper.

For pure quality, Seedance is still the clear winner for me. But once I factor in time, money and retries, I can’t call it the obvious choice.

Kling is a solid, much cheaper alternative. Try the same prompt and see which you prefer.

PROMPT ⬇️

**CAMERA:**
DV 16mm tape camcorder handheld feel. POV of MILA holding the camera herself, occasionally propping it on the floor or a mat for hands-free core shots. Hand shake, misaligned framing, delayed focus pulls, clumsy zooms, occasional face cut-off framing, imperfect shots. Camcorder never appears on screen.

**LOOK:**
Soft, slightly blurry tape quality, faint tape noise, bloomed highlights under gym lighting, flickering auto-exposure, muted contrast, realistic skin tones.

**STYLE:**
Playful, self-deprecating gym-vlog tone — genuine strain mixed with humor, complaining about core work while still pushing through it. Quick handheld cuts, energy staying light and funny throughout rather than fully exhausted.

**Character**

MILA — a beautiful American Instagram-style brunette model and performer, 20. Long dark-brown hair in a high ponytail, glowing skin with a light sweat sheen, glossy lips, expressive eyes, soft glam makeup and delicate sparkly stud earrings. Slim athletic figure with a very large, full bust, very full rounded buttocks, a narrow waist, flat stomach and lean arms and legs.

She wears a cobalt-blue supportive sports bra with thin straps and a deep scoop neckline showing cleavage, paired with matching ultra-short fitted athletic shorts. Bare shoulders, arms and midriff. White ankle socks, sneakers off. She speaks with an American accent.

**Setting**

A gym mat area in the evening — mirror wall nearby, water bottle on the floor, soft overhead lighting, other equipment visible in the background.

**Storyboard (15s, 6 shots)**

1. *(~2.5s, propped camera, medium shot)* She lies down on the mat, propping up on her elbows, already sighing dramatically. MILA: “Core day. Pray for me.”

2. *(~2.5s, propped camera, plank position)* She holds a plank, arms shaking slightly, talking through gritted teeth. MILA (strained): “Why am I shaking already?”

3. *(~2.5s, medium propped shot, crunches)* She moves into a set of crunches, breathing hard, complaining between reps. MILA: “This looked way easier online.”

4. *(~2s, macro insert, shallow DOF)* Close-up on her hands gripping the mat edges during a leg raise, abs visibly working. No dialogue — ambient gym sound only.

5. *(~2.5s, handheld, leg raises)* She finishes a slow leg raise set, flopping back onto the mat immediately after, laughing at herself. MILA (breathless): “Yep—my abs just quit.”

6. *(~3s, arm’s-length selfie finish)* Still lying on the mat, she lifts the camera above her face (camera no visible), grinning tiredly. MILA: “Same time tomorrow? No promises.”

#AIVideo

[Egor @egorvert]

This is a loader animation I made for an internal tool of which I am the sole user.

It took millions of tokens and multiple minutes of iteration (it was two prompts).

[Yas @bizdevelo]

1M+ views in less than a week on a brand new account

Claude Opus 5.5 creates these in less than 10min.

Check the first comment if you want the entire workflow!