Hoang Nguyen

[Hoang Nguyen @Namas1012]

@OneportProtocol One wallet. One interface. Multi-chain actions, smart accounts, intents, automation, and seamless UX — without forcing users to think about bridges, gas, or chain fragmentation.

The future of DeFi isn’t more complexity.
It’s invisible infrastructure.

[OnePort @OneportProtocol]

OnePort - One click - all assets are transferred to their destination !

[hormonemoon @hormonemoon]

En 2011, la autora y coach Mel Robbins dio una charla directa y brutalmente honesta: “Cómo dejar de sabotearte a ti mismo”.

Tiene más 34 millones de vistas.

Sus ideas clave:
No estás “atascado”, estás evitando
Tu cerebro te sabotea por diseño
La acción vence a la emoción

En vez de procrastinar hoy, deberías ver este video.

Aqui tienes 12 lecciones para dejar de autosabotearte:

Hilo 🧵

1. No eres perezoso, estás dominado por hábitos automáticos

[Jaynit @jaynitx]

In 1997, Steve Jobs came back to Apple and canceled 70% of the product line.

The engineers whose projects just died?

Three feet off the ground with excitement.

“They finally understood where in the heck we were going.”

He spent 20 minutes explaining how he was going to bring Apple back:

On focus:

"We looked at the product road map going out for a few years and said a lot of this doesn't make sense."

"There's way too much stuff and not enough focus."

"We got rid of 70% of the stuff on the product road map."

"You're going to see the product line get much simpler. And you're going to see the product line get much better."

On inventory:

"We've got two to three months of inventory in our manufacturing pipeline. And about an equal amount in our distribution pipeline."

"So we're having to make guesses four, five, six months in advance about what the customer wants."

"We're not smart enough to do that. I don't think Einstein's smart enough to do that."

"So we're going to get really simple. Take inventory out of those pipelines. Let the customer tell us what they want. And respond to it super fast."

On marketing:

"To me, marketing is about values."

"This is a very complicated world. A very noisy world. We're not going to get a chance to get people to remember much about us. No company is."

"So we have to be really clear on what we want them to know about us."

On brand neglect:

"Apple is one of the half dozen best brands in the whole world. Right up there with Nike, Disney, Coke, Sony."

"But even a great brand needs investment and caring if it's going to retain its relevance and vitality."

"The Apple brand has clearly suffered from neglect in the last few years."

On what not to do:

"The way to bring it back is not to talk about speeds and feeds. Not to talk about megahertz. Not to talk about why we're better than Windows."

"The dairy industry tried for 20 years to convince you that milk was good for you. It's a lie. But they tried anyway."

"Sales were going like this." [Down]

"Then they tried 'Got Milk.' Sales went like this." [Up]

"Got Milk doesn't even talk about the product. It focuses on the absence of the product."

On Nike:

"The best example of all. One of the greatest jobs of marketing the universe has ever seen is Nike."

"Nike sells a commodity. They sell shoes. Yet when you think of Nike, you feel something different than a shoe company."

"In their ads, they don't ever talk about the product. They honor great athletes. That's who they are."

On Apple's identity:

"Our customers want to know: who is Apple? What do we stand for?"

"What we're about isn't making boxes for people to get their jobs done."

"Apple at its core is that we believe people with passion can change the world for the better."

"Those people crazy enough to think they can change the world are the ones that actually do."

On death:

"For 33 years, I've looked in the mirror every morning and asked: if today were the last day of my life, would I want to do what I'm about to do today?"

"Whenever the answer has been no for too many days in a row, I know I need to change something."

"Remembering that I'll be dead soon is the most important tool I've ever encountered to help me make the big choices in life."

"Almost everything—all external expectations, all pride, all fear of embarrassment or failure—these things just fall away in the face of death."

"You are already naked. There is no reason not to follow your heart."

On time:

"Your time is limited. So don't waste it living someone else's life."

"Don't be trapped by dogma, which is living with the results of other people's thinking."

"Don't let the noise of others' opinions drown out your own inner voice."

"Have the courage to follow your heart and intuition. They somehow already know what you truly want to become."

"Everything else is secondary."

"Stay hungry. Stay foolish."

[Para Mühendisi @paramuhendisim]

“Büyüklük zekadan gelmez, karakterden gelir. Karakter, zeki insanlardan değil, acı çekmiş insanlardan oluşur.”

~Nvidia CEO’su, Jensen Huang

[Girişimci Hisler @girisimcihisler]

Herkes aksini iddia ediyordu ama Yann LeCun başından beri haklıymış.

Şu an milyarlarca dolar dökülen "üretken yapay zeka" (Generative AI) furyası koca bir çıkmaz sokak olabilir.

Nasıl mı? Anlatayım.

Son 3 yıldır tüm sektör tek bir yanılgının peşinden koşuyor: "Modeli ne kadar büyütürsek, dünyayı o kadar iyi anlar."

Trilyonlarca parametre, devasa sunucular ve yakılan milyarlarca dolar...

LeCun ise buna başından beri saçmalık diyordu.

Ona göre mevcut yapay zekalar inanılmaz derecede verimsiz.

Bir yapay zekayı bir sonraki kelimeyi veya pikseli tahmin etmeye zorladığınızda, aslında ona fizik kurallarını veya gerçekliği öğretmiyorsunuz. Sadece yüzeysel örüntüleri ezberletiyorsunuz.

LeCun'un buna karşı çok daha farklı bir vizyonu vardı: JEPA (Joint-Embedding Predictive Architecture).

Yapay zekadan dünyayı piksel piksel boyamasını istemek yerine, tıpkı bizim gibi soyut kavramları tahmin etmesini istedi.

Yani olayları "düşünce uzayında" kurgulamalıydı.

Ama yıllar boyunca JEPA'nın ölümcül bir kusuru vardı. Yapay zeka çok çabuk kolaya kaçıyordu.

Gerçekliği o kadar basitleştiriyordu ki; bir köpek, bir araba ve bir insan onun gözünde aynı veriye dönüşüyordu. Buna "representation collapse" diyorlar. Kısaca hiçbir şey öğrenmiyordu.

Mühendisler bunu engellemek için dondurulmuş kodlayıcılar, aşırı karmaşık yama çözümler ve devasa işlem güçleri kullanmak zorunda kaldı.

Ta ki bugüne kadar.

"LeWorldModel" (LeWM) adında inanılmaz bir makale yayınlandı ve bu problemi kökünden çözdüler.

Araştırmacılar tüm o karmaşık mühendislik hilelerini çöpe attı ve yerine tek, son derece zarif bir matematiksel kural getirdi.

Yapay zekanın içsel "düşüncelerini" mükemmel bir Gauss dağılımına girmeye zorladılar.

Sonuç? Yapay zeka artık hile yapamıyor.

Bir sonraki adımı tahmin edebilmek için gerçek dünyanın fiziksel kurallarını ve yapısını "gerçekten" anlamak zorunda.

Bu buluş, yapay zeka ekonomisini baştan yazacak cinsten.

Çünkü bu yeni modelin (LeWM) devasa süper bilgisayarlara ihtiyacı yok.
Sadece 15 milyon parametresi var.
Standart, tek bir GPU'da birkaç saat içinde eğitilebiliyor.

Buna rağmen, o devasa modellerden 48 kat daha hızlı planlama yapabiliyor, fiziği anlıyor ve imkansız olayları anında tespit edebiliyor.

Teknoloji devleri devasa sunucu tarlalarına bütün interneti ezberletmek için milyarlarca dolar yakarken...

Şu an tek bir ekran kartında çalışan küçücük bir model, gerçek dünyanın nasıl işlediğini sessiz sedasız çözüyor. Oyun şimdi değişiyor.

[Hoang Nguyen @Namas1012]

@tranvictor @0xProject Kyber is one of the best adapters I've integrated.

[Big Brain AI @realBigBrainAI]

Yann LeCun (AMI Labs Founder): "The AI industry is completely LLM-pilled. Everybody is working on the same thing. They're all digging the same trench."

LeCun explains why no lab dares break from the pack:

"They are stealing each other's engineers. So they can't afford to do something different because if they start going on a tangent, they're going to fall behind the other guys. And so they're all doing the same thing."

This groupthink is exactly what drove him out of Meta.

"Meta also became LLM-pilled with sort of recent reshuffling. And it's fine, a strategic decision that maybe makes sense for them. It's just not what I'm interested in."

For @ylecun, the problem runs deeper than strategy.

LLMs are missing something essential about how intelligence actually works:

"I cannot imagine that we can build agentic systems without those systems having an ability to predict in advance what the consequences of their actions are going to be. The way we act in the world is that we can predict the consequences of our actions and that's what allows us to plan."

His broader critique is that the industry has mistaken fluency for intelligence.

Language turned out to be the easy part. The hard part is the physical world.

It's why we still don't have domestic robots or level-five self-driving cars, even though today's systems can pass the bar exam and write code.

[Peak Thinkers @PeakThinkers_]

This 60-minute MIT lecture from Steve Jobs after getting fired from Apple will teach you more about building companies than most startup books ever will.

Bookmark this & give it an hour. It’ll be one of the best business lessons you consume this year.

[vixhaℓ @TheVixhal]

https://t.co/UOX9HBErXe

[Harrison Chase @hwchase17]

https://t.co/aZnKZ1SVXB

[Hoang Nguyen @Namas1012]

@dill_xyz_ Thank you, Dill !

[Hoang Nguyen @Namas1012]

🥳🥳🥳

[Arsenal @Arsenal]

That first Arsenal goal feeling ❤️

[GP88 @CryptoGp88]

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