Colton

[Colton @bbromadierzu]

Remember when staying up past midnight felt like a rebellion?. Underrated: going to bed before midnight 🌿

[Colton @bbromadierzu]

Just finished a mystery novel and I'm not the same person I was before chapter one. The taste of homemade soup should be studied by scientists 🌿

[Ezra Maruyama @EzraMaruyaxkko]

Note to self: the energy you bring into a room matters — June sunsets last forever and I never get tired of them

[Colton @bbromadierzu]

That specific shade of blue the sky turns right after sunset. Nothing compares to when you find something you thought you lost 🌿

[YARD @notEgoyard]

GIVE IT A DRAWING WITH NO WAY TO ACTUALLY SEE IT

The task, straight from Anthropic’s own benchmark: reconstruct a machine part as a 3D FreeCAD model from a drawing - except the environment was set up so the model had no direct way to view the image at all Not a harder version of the task - A blocked one

Every competing model tested the same way failed after five attempts. Read that as: five separate tries, same setup, zero successes, on models that are otherwise capable of plenty
Opus 5’s actual move: it didn’t ask for a workaround or give up on the missing input

It wrote its own computer vision pipeline from scratch, pulled the geometry straight out of raw pixel data, then used that to reconstruct the full part in CAD - and did it repeatedly, not as a one-off fluke

What that tells you that a design benchmark score doesn’t: the model built a missing tool mid task instead of treating the absence of one as a blocker

For any design pipeline that depends on reading a reference - a sketch, a scan, a competitor screenshot - that’s the difference between “can’t see it, can’t work with it” and “built the thing that lets it see, then kept going”

full below

[FTMO.com @FTMO_com]

Try the 2‑Step FTMO Challenge in a Free Trial. No risk, just pure strategy testing.

[Colton @bbromadierzu]

Morning hot chocolate is non-negotiable. Listening to drum and bass and I can't stop replaying this 🥲

[Colton @bbromadierzu]

A game night that turns into a therapy session hits different. Just finished a memoir and I keep thinking about a line from page 200 ☕

[Colton @bbromadierzu]

I'm at my most productive when I'm supposed to be doing something else. Getting back into volleyball after a long break ☕

[fares . salha 🇵🇸 @fares__2001]

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If you see this reply with a dot .
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[Colton @bbromadierzu]

Just watched a documentary and now I want to watch everything that director has ever made. Nothing good happens after 4pm but here I am 🥲

[SwEet NecToR @lucky8568]

Pick a lucky number from 20– 72
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10 numbers hide a surprise of $10,000

🎉 20 winners will be picked randomly in 72 hours

[Deepak kumar🇮🇳 @Deepakk30081433]

JAY GANESH JAY GANESH JAY GANES H DEVA
JAY SHRI GANESHAY NAMAH🚩
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MATA JAKI PARVATI PITA MAHADEVA👏 @grok

[Colton @bbromadierzu]

nburgh ruined every restaurant back home for me. You can't make someone see your worth if they're determined to overlook it 🌿

[fares . salha 🇵🇸 @fares__2001]

I NEED TREATMENT😭

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we’ll remind you 🥺
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My child has scabies, please help me.

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[Lana & Hala Family's 🇵🇸🍉 @hazemkhilla]

I beg you, just share😭😭
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I desperately need TREATMENT for my daughter .
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[मंगलम तिवारी @MahamangalT]

HAR HAR MAHADEV! 🔱🙏
OM NAMAH SHIVAY 🕉️
H @grok
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HAR HAR MAHADEV! 🔱🙏
OM NAMAH SHIVAY 🕉️

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ॐ नमः शिवाय 🕉️

शिव से यह मत माँगो कि जीवन में दर्द कभी न आए।
बस इतनी प्रार्थना करो

दर्द आए तो मैं टूटूँ नहीं,
मुश्किल आए तो मैं झुकूँ नहीं।

क्योंकि महादेव हर दर्द नहीं मिटाते,
कभी-कभी उसे सहने की शक्ति देते हैं। 🔱

हर हर महादेव! 🙏

[fares . salha 🇵🇸 @fares__2001]

MY CHILD IS DYING, PLEASE😭

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please care

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I beg you, I need food.

I kiss your hands

Help my poor child, she's dying

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[Seeker @bykushnir]

THE SCARIEST THING ABOUT 300 AI AGENTS ISN'T THAT ONE OF THEM FAILS. IT'S THAT ONE OF THEM IMPROVISES SUCCESSFULLY.

Kimi K3 can coordinate up to 300 sub-agents.

And Moonshot quietly included one warning that I think matters more than the agent count:

if you need K3 to stay inside defined boundaries, write those boundaries down.

That's a completely different way to think about autonomous AI.

We spend most of our time telling agents what they can do.

Browser access.
Files.
Email.
Code.
Payments.
Hundreds of tools.

But the more capable the agent becomes, the more valuable the opposite file becomes:

what it must never do.

I like the idea of reducing that to five permanent constraints:

SCOPE → what exists
ONE-WAY → what requires approval
EVIDENCE → what counts as true
BUDGET → when work stops
SILENCE → when the agent must refuse to guess

Then all 300 agents inherit the same fence before step one.

Because a model trained to keep solving problems doesn't necessarily stop when it reaches the edge you had in your head.

The more autonomy you give AI, the more precisely you need to define where autonomy ends.

Give the swarm the fence first.

Then give it the keys.

[fares . salha 🇵🇸 @fares__2001]

MY CHILD IS DYING, PLEASE😭

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︎don’t forget me🥺
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please care

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I beg you, I need food.

I kiss your hands

Help my poor child, she's dying

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