Alberto González

Computer Architecture Research Engineer | RTL Engineer | PhD Candidate

[RussiaNews 🇷🇺 @mog_russEN]

"YOU REJECTED REAL EUROPE.. We are Europe, NOT you. You betrayed your roots."

Prominent Russian host Vladimir Solovyov just delivered a brutal, history-backed reality check that is melting Western minds:

"You hate us because in us, you see what Europe should be."

WATCH 👇

[Elon Musk @elonmusk]

“Full access” 😂

[Param @ParamSiddh]

Best YouTube Channels To Learn AI in 2026 (No BS). Save it.

1. Fundamentals – 3Blue1Brown
2. Deep Learning – Andrej Karpathy
3. AI Research – Yannic Kilcher
4. Practical AI – AssemblyAI
5. LLMs – AI Explained
6. ML Theory – StatQuest
7. Papers Simplified – Two Minute Papers
8. GenAI – Matthew Berman
9. AI Agents – Nicholas Renotte
10. Applied ML – Krish Naik
11. PyTorch – Aladdin Persson
12. Math for ML – Serrano Academy
13. Industry Insights – Lex Fridman
14. Real-world AI – DeepLearningAI

[Alberto González @betbatesc]

🙌🏼

[Alberto González @betbatesc]

I really feel this…

[Alberto González @betbatesc]

Second him

[Alberto González @betbatesc]

Respect

[Alberto González @betbatesc]

@mbafraaude Pues si su mujer anda enseñando todos los cueros en todos lados, él también puede 😂

[Eric Jorgenson 📚 ☀️ @EricJorgenson]

This is why the supporters of @elonmusk work hard to "defend him."

Because it's not about Elon.

He's a symbol of progress.

[Reads with Ravi @readswithravi]

“Greatness does not come out of intelligence, it comes from character.

Character is not formed out of smart people: it is formed out of people who have suffered.”

— Nvidia CEO, Jensen Huang

[Ihtesham Ali @ihtesham2005]

Chamath said AI is not like the internet. Every new user costs real money. And the infrastructure making it possible was built by everyone.

His argument was the clearest case for government ownership of AI labs I have ever heard. And it had nothing to do with Bernie Sanders.

Start with the internet comparison.

Google and Facebook became the most profitable companies in human history because of one number. The marginal cost of adding a new user was effectively zero. One more search query cost Google nothing. One more Facebook profile cost Meta nothing. They could serve a billion people and the incremental cost of that billion person was rounding error. That is the money printer. Infinite scale at zero marginal cost.

AI breaks that model completely.

Every single user taxes a GPU. Every query costs electricity. Every response requires memory and compute. The marginal cost of AI is real, significant, and does not disappear at scale. You cannot print money the same way.

Then Chamath made the point that landed hardest.

The infrastructure these companies depend on, the power grid, the land, the data centers, the permitting, the national security apparatus that protects their chips from being stolen, none of that was built by Anthropic or OpenAI. It was built by the public. By taxpayers. By decades of government investment in the physical and legal foundation these companies are now running on.

He compared it to the interstate highway system. If the federal government built the roads and two companies transported all the goods on them, a logical question at that point would be how much of that should I own? You are riding on my rails.

His conclusion was direct. If he were running a sovereign wealth fund and had the negotiating leverage of the US government, he would own 75% of these companies when he was done.

The internet had zero marginal cost. That is why the founders captured almost all of the value.

AI has real marginal cost and runs on public infrastructure. That changes who has a claim on what gets built.

WATCH THE FULL PODCAST ON @theallinpod

[Elon Musk @elonmusk]

🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀

[NIK @ns123abc]

🚨Dario Amodei says he started Anthropic not because of safety reasons but because Sam Altman is manipulative liar who cannot be trusted

[Alberto González @betbatesc]

@twtayaan The compiler analogy breaks down because compilers don't invent logic. AI is like an overconfident staff engineer—it has deep fluency, but will confidently hallucinate an API to look smart.

[Elon Musk @elonmusk]

Optimus

[Yann LeCun @ylecun]

Murderers