Coin Base
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President Donald J. Trump greets the Taoiseach of Ireland, @MichealMartinTD, at the White House on St. Patrick's Day! 🇺🇸🇮🇪


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@Rus_Khairullin @cz_binance Furthermore, you can thank Trump and the United States Military and our fallen soldiers!!!

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GM ☀️
Driving around Dubai while everyone on the internet is posting about panic here.
Looks pretty dangerous to me😂
UAE is ranked the #1 safest country in the world. Dubai top 4 safest cities globally. Lower crime rate than New York, London, and Paris combined.
But sure. Keep watching FUD content.
Some of us are just living here.
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🚨Esto es una locura.
143 millones de personas creían que estaban capturando Pokémon. En realidad, estaban creando uno de los conjuntos de datos visuales del mundo real más grandes de la historia de la IA.
Niantic acaba de revelar que las fotos y los escaneos de realidad aumentada recopilados a través de Pokémon Go han generado un conjunto de datos de más de 30 mil millones de imágenes del mundo real. La compañía ahora está utilizando esos datos para potenciar la IA de navegación visual de los robots de reparto.
Los participantes no se limitaron a pasear con sus teléfonos. Escanearon lugares emblemáticos, escaparates, parques y aceras desde todos los ángulos, a cualquier hora del día, con condiciones de luz y climáticas que ninguna fotografía profesional podría haber capturado. Documentaron el mundo físico a una escala que ninguna empresa de cartografía con una flota de vehículos podría haber replicado en el mismo plazo ni con el mismo presupuesto.
Niantic recopiló estos datos de forma sistemática, dato por dato, a lo largo de ocho años, mientras que los usuarios pensaban que lo único que estaba en juego era capturar un Charizard raro.
Los conjuntos de datos de entrenamiento de IA más valiosos del mundo no se están recopilando en centros de datos. Los están creando personas que no tienen ni idea de que los están creando.
NewsForce@Newsforce
POKÉMON GO PLAYERS TRAINED 30 BILLION IMAGE AI MAP Niantic says photos and scans collected through Pokémon Go and its AR apps have produced a massive dataset of more than 30 billion real-world images. The company is now using that data to power visual navigation for delivery robots, letting them identify exact locations on city streets without relying on GPS. Source: NewsForce
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The most underrated AI tool on the internet?
Ideogram AI.
Pair it with Claude, and you have a publishing system that can produce six-figure eBooks on Amazon.
One book turns into compounding income over time.
Last month alone, we generated $65,000 in royalties using this setup.
Stack 4–5 books using this process, and you’re suddenly looking at a real monthly income stream.
I could easily charge $199 for this.
But today, it’s free.
To get it:
• Like this post
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I’ll DM you the training + my entire AI publishing system.
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(Follow so I can message you)

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@EndWokeness their hands are just disgusting and the way they eat, wouldn’t be able to stay in the same room with them. 🤢 🤮
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Coin Base retweetledi
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2026 Breakthrough: AI Unlocks Hidden Chemical Chaos in Alzheimer’s Brains – What This Means for Future Cures!
(Videos & Sources below 👇)
In an unprecedented scientific feat, scientists have generated the inaugural full-scale, marker-free chemical atlas of a brain impacted by Alzheimer’s disease.
By integrating advanced laser imaging with machine learning algorithms, researchers at Rice University meticulously analyzed brain tissue layer by layer to produce intricate molecular visualizations.
The results were eye-opening: Alzheimer’s pathology doesn’t affect the brain uniformly.
While some sections display extensive chemical transformations, others show minimal disruption.
In particular, memory-critical zones revealed substantial alterations in cholesterol and energy-metabolizing compounds.
These insights imply that the disease transcends simple protein aggregation, pointing instead to a broad metabolic upheaval throughout the brain – a revelation that could fundamentally reshape therapeutic strategies.
Verification: This information is confirmed as accurate based on multiple credible sources from early 2026, including official university releases and peer-reviewed publications.
The study was conducted on an animal model, published in ACS Applied Materials & Interfaces, and highlights label-free hyperspectral Raman imaging as the key method.
Here are some video resources from 2026 that explain or relate to this Rice University breakthrough.
•“Making Alzheimer’s Imaging Label-free | Rice University” (YouTube) – A concise explainer on the label-free technique.
•“Metabolic Clues from New Molecular Map” (YouTube embed from Rice News) – Features visuals of the mapping process.
•Instagram Reel by Rice Advanced Materials Institute – Student-led overview with 38+ likes, focusing on metabolic changes.
•“Rice Putting Houston on the Map for Brain Research” – Broader context on Rice’s brain mapping innovations.
Shared for informational purposes only.
Consult a medical professional for health advice.
Sources:
•Rice University News: news.rice.edu/news/2026/meta…
•ScienceDaily: sciencedaily.com/releases/2026/…
•Wiley Analytical Science: analyticalscience.wiley.com/content/news-d…
•YouTube Video: youtube.com/watch?v=T78JyG…
•Instagram Reel: instagram.com/reel/DUonU7wjp… 1
•Facebook Video: facebook.com/RiceUniversity…

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