Nicole Cardoso

[heyAnjey @heyanjey]

THE NEXT BIG AI SCALING LAW MAY NOT BE MORE PARAMETERS. IT MAY BE KNOWING WHEN TO THINK TWICE.

For years, making a model “deeper” basically meant building a bigger stack.

More layers.
More parameters.
More memory.

GPT-6 Astra points at a different direction.

Instead of passing through a computational block once and moving on, a looped transformer can send its internal state through the same weights again.

Same model.

More computation.
A simple question might need 4 loops.

A hard proof might need 32.

A difficult coding problem might deserve 64.

And none of that necessarily requires the model to write a longer chain of thought before answering.

That's the part I find much more interesting than another benchmark record.

We may be separating two things that used to scale together:

HOW BIG THE MODEL IS

and

HOW MUCH THINKING THE PROBLEM GETS.

Eventually the important question may not be:

“How many parameters does this model have?”

But:

“Did it know the answer was good enough, or was this token worth another trip around the loop?”

[Nicole Cardoso @NicoleCardoso8]

My cat acts like they've never been fed in their entire life and I have it on video.. Fell asleep to the sound of coffee brewing and slept like a baby

[Flamengo @Flamengo]

3 MOTIVOS PARA VOCÊ COMPRAR SEU INGRESSO PARA O JOGO CONTRA O MIRASSOL AGORA:

1. Tão deixando a gente chegar e vocês já sabem, né? Se deixar chegar...

2. Ingressos a partir de R$ 50,00 para lotar mais uma vez o Maraca.

3. O Setor Norte está esgotando. A chance é agora!

O Flamengo precisa de você nesta reta final! Vamos juntos em busca de mais 3 pontos!

Compre seu ingresso agora em https://t.co/5laXcHMlla

[Nicole Cardoso @NicoleCardoso8]

Hot take: cereal is a soup.. Happiness is a friend who shows up without being asked.

[Nicole Cardoso @NicoleCardoso8]

Writing letters is underrated and I'll say it every time.. Just finished a biography and I physically could not put it down.

[Nicole Cardoso @NicoleCardoso8]

My scrapbooking skills are slowly but surely improving. Happiness is the smell of dinner cooking when you walk in the door

[Yousef in Gaza 🇵🇸 @yousefQasem1998]

I beg you, just share😭😭
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we’ll remind you
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I desperately need milk for my daughter . €10
https://t.co/45Gj0rpJam

[Defn Pak @DefnPak]

Allah

Allah

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Allah

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Allah

Allah

♥️ I LOVE ALLAH♥️
#خاتم_النبیین_محمدﷺ
#درود_وقرآن

[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. $

https://t.co/XolKMGB0D7

[Nicole Cardoso @NicoleCardoso8]

Listening to hip hop on a train through Lisbon is a core memory now.. Nothing calms me like the sound of leaves crunching underfoot

[bonduelle @bonduelleioat]

YOUR AI AGENT CAN BREAK THE MOMENT YOU GIVE IT ACCESS TO REAL MONEY AND PRODUCTION.

The demo works perfectly.

One prompt.
One model.
One beautiful answer.

Then you deploy it into the real world - and suddenly the agent starts looping endlessly, burning through your token budget, sending unnecessary emails, and creating problems faster than you can detect them.

That’s where the magic of the demo ends and real AI engineering begins.

Production doesn’t care how impressive your presentation looks.

It needs an architecture that can survive errors, constraints, unexpected model behavior, and real-world pressure.

So don’t start by building a monstrous multi-agent system just because it sounds impressive.

If the task can be solved with a simple REST call for data classification - start there.

If you need more complex logic, add the next layer.

But only when the previous one can no longer handle the job.

Real AI architecture evolves step by step: from a simple model call to controlled agent loops, multi-agent coordination, and complex orchestration systems.

And every level needs guardrails: hard step limits, cost controls, real-time error handling, checkpoints after critical actions, and independent verification of results.

Because the problem isn’t that you don’t have enough agents.

The problem starts when you build a system more complicated than the task itself.

Don’t build AI architecture for the demo.

Build the one that won’t break when people actually start relying on it.

[Nicole Cardoso @NicoleCardoso8]

rated comfort

[暇72@シクフォニ @hima72_25]

希死遠慮 / 暇72

＿＿＿さよなら拒んで夢に逃避行。

[Nicole Cardoso @NicoleCardoso8]

Going fishing clears my head like nothing else can.. My love language is Italian pasta

[मंगलम तिवारी @MahamangalT]

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Hari Keshav, Hari Govind, Hari Narayan Hari Om.
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Hari Sundar Nand Mukund, Hari Narayan Hari Om. 🙏✨
Hari Keshav, Hari Govind, Hari Narayan Hari Om.
Hari Naam ka jap har pal jeevan mein shanti, sukh aur Bhagwan Shri Hari ki anant kripa banaye rakhe. Jai Shri Hari! 💛🕉️

[Nicole Cardoso @NicoleCardoso8]

You ever just feel like the universe is trying to tell you something. Seeing a rainforest canopy made everything else feel so small.

[Nicole Cardoso @NicoleCardoso8]

Humidity is just the air giving you an unwanted hug. Just thinking about steak makes me happy.

[TNI AD @tni_ad]

Pembangunan Jembatan Termanu dan Kapsali, NTT

#jembatantniad #Kasad #baktiTNIAD #TNIADuntukNegeri

[Nicole Cardoso @NicoleCardoso8]

@portalR7 @zeluizlhesdiz @desimpedidos gm

[Nicole Cardoso @NicoleCardoso8]

@IBKR gm