Luis Estaire

Inteligencia Artificial #AI 🧠 • Marketing 🚀 • Finanzas 💰 • Ingeniero de Teleco 🤓

[Luis Estaire @lestaire]

@Hombrelmparable Cierto todo lo que dice. Desigualdad disfrazada de falsa igualdad

[Luis Estaire @lestaire]

@parauniverso @Torren___ He pensado lo mismo jaja

[Luis Estaire @lestaire]

@davidcerdag @Maribel_Hope Falso. Ellas tienen más derechos.

[Luis Estaire @lestaire]

Historic

[Global Markets Investor @GlobalMktObserv]

🚨The US stock market has never been this OVERVALUED:

The Buffett Indicator, which measures total corporate equities relative to GDP, rose to 232.6%, the highest level in history.

This is well above the 2000 Dot-Com Bubble peak of 162.6% and the 2021 market frenzy high of 218.7%.

Since the Great Financial Crisis low, the ratio has risen +163.6 percentage points, or more than 3 times.

US equities are in uncharted territory.

[Luis Estaire @lestaire]

Gay finding

[Andrew D. Huberman, Ph.D. @hubermanlab]

For every older brother a male has from the same mother his probability of being gay increases. This is thought to be due to a trace in their moms immune system that governs hormone effects on the brain. But note: it’s a reflection of more not less testosterone exposure in utero.

[Luis Estaire @lestaire]

This would make Bitcoin go to 0

[Max the VC 👨‍🚀 @mreiffy]

Google is basically saying:

“We’ve cut the quantum resources needed to break Bitcoin’s encryption by 20x. We can now break it. We can prove it. We’re just not going to tell you how.

We’ve slowed down research to give crypto a chance. You have until 2029 to figure out a solution. Good luck.”

[Luis Estaire @lestaire]

@AlanDaitch Está desactualizado (noviembre 2025). He pasado todos los prompts por Gemini 3.1 esta semana y detectó todo lo que es inventado en todos los casos menos uno

[Luis Estaire @lestaire]

@entranto @GladiatorAstur La ha denunciado por calumnias y le reclama 250.000 euros

[Luis Estaire @lestaire]

@carlosadams Indefensión total de los hombres frente a la justicia en casos como este y otros muchos

[TR @TRCrazyoutWest]

@__Injaneb96

[Luis Estaire @lestaire]

Eric Schmidt's advice for making money in Al:

"Found an agentic Al company."

[Luis Estaire @lestaire]

We are close 🔥

[Rohan Paul @rohanpaul_ai]

Demis Hassabis’s “Einstein test” for defining AGI:

Train a model on all human knowledge but cut it off at 1911, then see if it can independently discover general relativity (as Einstein did by 1915);

if yes, it’s AGI.

[*Walter Bloomberg @DeItaone]

BITCOIN FACES A $1 TRILLION IDENTITY CRISIS

Bitcoin has dropped over 40% from its peak, but the bigger issue isn’t price — it’s purpose.

Once driven by strong narratives, Bitcoin now faces competition on all fronts: gold as a hedge, stablecoins for payments, and prediction markets for speculation. Even with growing support from Wall Street and policymakers, demand is weakening.

Analysts say Bitcoin’s core story — rising prices — has broken down, and unlike stocks or commodities, it lacks clear fundamentals to fall back on.

At the same time, its “digital gold” claim is under pressure as precious metals rally and Bitcoin ETFs see outflows. New crypto use cases, like tokenization and stablecoins, are also shifting attention away.

Despite this, Bitcoin remains the most established crypto asset and has survived past crises. The key question now: can it redefine its role, or will it slowly lose relevance?

[BURKOV @burkov]

LLMs process text from left to right — each token can only look back at what came before it, never forward. This means that when you write a long prompt with context at the beginning and a question at the end, the model answers the question having "seen" the context, but the context tokens were generated without any awareness of what question was coming. This asymmetry is a basic structural property of how these models work.

The paper asks what happens if you just send the prompt twice in a row, so that every part of the input gets a second pass where it can attend to every other part. The answer is that accuracy goes up across seven different benchmarks and seven different models (from the Gemini, ChatGPT, Claude, and DeepSeek series of LLMs), with no increase in the length of the model's output and no meaningful increase in response time — because processing the input is done in parallel by the hardware anyway.

There are no new losses to compute, no finetuning, no clever prompt engineering beyond the repetition itself.

The gap between this technique and doing nothing is sometimes small, sometimes large (one model went from 21% to 97% on a task involving finding a name in a list). If you are thinking about how to get better results from these models without paying for longer outputs or slower responses, that's a fairly concrete and low-effort finding.

Read with AI tutor: https://t.co/MipHHO6rjX

Get the PDF: https://t.co/XQrqiaGwIO

[Luis Estaire @lestaire]

@jvplaza La España feliz de los 90

[Luis Estaire @lestaire]

Software is dying. Custom AI for SMBs is just beginning.

[Rohan Paul @rohanpaul_ai]

Mark Cuban on the next job wave.

Customized AI integration for small to mid-sized companies.

"Software is dead because everything's gonna be customized to your unique utilization. Who's gonna do it for them... And there are 33 mn companies in the US."

[Luis Estaire @lestaire]

@TheAIColony AI

[Luis Estaire @lestaire]

@EnBocaDe_Todos @cuatro @Nacho_Abad @grok comprueba si esto es cierto.

[Luis Estaire @lestaire]

@ImagineArt_X Imagineart15pro

[Luis Estaire @lestaire]

@claliclo @DBVolkov https://t.co/tu02EyBzfF