🇺🇾 Ing. Agr. Mag. Investigador @GRAS_INIA #DataScience #AGROCLIMA #IA #AI4EO #GIS #GEE Nací con 331 ppm CO2. Cuenta Personal. Expresiones a título personal.
Montevideo, Uruguay
Joined November 2017
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Adrián Cal retweeted
For some people, coding was the only valuable skill they had.
If you made your money by selling your ability to write JavaScript, CSS, Python, or whatever else, I understand why you are pissed now.
"Writing code" is worth very little today.
The sad part is that learning to code wasn't easy. It takes years for someone to become a skilled programmer.
Imagine watching all of those years go down the drain.
If you are a programmer (I mean, just someone who knows how to write code in a particular programming language), your days are numbered.
If you still think AI can't do your job, you are just in denial.
But honestly, writing code was never that valuable anyway. If you were a code pusher, you already knew that the best people at your company weren't just writing code.
They came up with new ideas, designed solutions, architected whole systems, knew how to troubleshoot and fix problems, found different ways to build better software, and, in general, spent almost no time writing code.
Not only are those people thriving today, but they're also the ones who will ride the AI wave and learn to bend it to their will.
So don't cling too long to what you lost; embrace what's already here. AI is a tide that lifts all boats, but you have to be open to it.
Adrián Cal retweeted
Lotus Tenuis PG Guapo, a casi 6 meses de su implantación. Viene evolucionando bien; con un poco más de temperatura y sol debería terminar de despegar, mientras las gramíneas van haciendo su competencia.
Paysandú-Estacion Porvenir
Adrián Cal retweeted
En Suicidal Empathy: Dying to Be Kind, el psicólogo evolutivo Gad Saad sostiene que Occidente está desarrollando una forma patológica de empatía que amenaza su propia supervivencia. La empatía, una virtud esencial para la cooperación humana, se vuelve destructiva cuando se ejerce indiscriminadamente, sin considerar la reciprocidad, la responsabilidad individual ni las consecuencias de largo plazo. Según Saad, buena parte de las élites progresistas han invertido las prioridades morales: muestran mayor preocupación por los delincuentes que por sus víctimas, por los inmigrantes que violan las leyes que por los ciudadanos que las respetan, y por proteger sentimientos e identidades que por defender la verdad. El resultado sería una civilización que, intentando demostrar su superioridad moral, termina debilitando las instituciones, las libertades y los valores que hicieron posible su prosperidad.
Desde la psicología evolutiva, Saad explica que nuestras emociones fueron seleccionadas para favorecer la supervivencia y la cooperación, pero pueden producir resultados contraproducentes cuando se separan de la razón. Critica especialmente la incapacidad de ciertas sociedades occidentales para reconocer las diferencias culturales, defender sus principios frente al islamismo radical, combatir eficazmente la criminalidad y exigir reciprocidad a quienes reciben su solidaridad. Su propuesta no consiste en abandonar la compasión, sino en subordinarla a la razón, la evidencia, la justicia y la evaluación de consecuencias. La tesis central es que una sociedad que confunde tolerancia con aceptación ilimitada de cualquier comportamiento puede terminar destruyendo las condiciones que permiten ejercer esa misma tolerancia. Es una obra deliberadamente polémica, cuyos ejemplos y generalizaciones requieren distinguirse de conclusiones científicamente demostradas.
Adrián Cal retweeted
„Koń będzie zawsze istniał, ale samochód to tylko chwilowa moda – zabawka dla bogatych.”
Michigan Savings Bank, 1903
„Myślę, że na całym świecie jest rynek dla może pięciu komputerów.”
Thomas Watson, 1943
„Żadnej szansy, że iPhone zdobędzie znaczący udział w rynku.”
Steve Ballmer, 2007
„Internet ma dla gospodarki ledwie ważniejsze znaczenie niż faks.”
Paul Krugman, 1998
„Maszyny latające cięższe od powietrza są fizycznie niemożliwe.”
Lord Kelvin, 1895
„Problem spamu w e-mailach zostanie rozwiązany w ciągu maksymalnie dwóch lat.”
Bill Gates, 2004
„Telewizor nie utrzyma się na rynku. Ludzie szybko znudzą się wpatrywaniem się co wieczór w skrzynkę ze sklejki.”
Darryl F. Zanuck, 1946
„Nie ma powodu, dla którego ktoś chciałby mieć komputer w swoim domu.”
Ken Olson, 1977
„Kiedy paryska wystawa światowa się zamknie, światło elektryczne zgaśnie i więcej o nim nie usłyszymy.”
Erasmus Wilson, 1878
„Amerykanie może potrzebują telefonu, ale my nie. Mamy wystarczająco dużo posłańców.”
William Preece, 1876
„Bez względu na to, jak nauka będzie postępować w przyszłości, człowiek nigdy nie dotrze na Księżyc.”
Lee De Forest, 1957
„Podróżowanie z dużą prędkością jest niemożliwe, ponieważ pasażerowie przestaną dostawać powietrza i umrą z powodu uduszenia.”
Dionysius Lardner, 1830
„Zabawa z prądem zmiennym to czysta strata czasu. Nikt nigdy go nie wykorzysta.”
Thomas Edison, 1889
„Telefony komórkowe absolutnie nie zastąpią telefonów stacjonarnych.”
Marty Cooper, 1981
Adrián Cal retweeted
Andrew Ng siempre en mi equipo.
Algunas de las citas que ha dejado en esta entrevista el fundador de Google Brain, Coursera, DeepLearning AI, profesor de la Universidad de Stanford y uno de los mayores referentes sobre IA de la actualidad.
- No habrá un apocalipsis del empleo por la IA.
- Sobre el empleo: la IA solo automatiza una parte de cada trabajo, así que seguimos necesitando personas para hacer el resto. No ve ningún camino realista hacia ese 50 % de desempleo que algunos anuncian.
- Sobre la escasez de talento: no faltan empleos, faltan perfiles. Dice que no encuentran suficientes ingenieros de software, ni marketers, comerciales o gente de operaciones que sean «nativos de IA».
- Sobre la transformación del trabajo: muchos desarrolladores front-end se han convertido en full stack porque la IA ya hace bien la parte visual. Quienes amplían su alcance y aprenden IA se vuelven muy valiosos en el mercado laboral.
- Sobre el ritmo del progreso: no cree que vayamos a chocar con un límite absoluto, pero sí que el avance será gradual durante mucho tiempo. Una IA capaz de hacer cualquier tarea intelectual humana necesitaría varios avances radicalmente nuevos, y eso podría tardar décadas. Lo ve muy improbable para 2030.
- Sobre el hype de Silicon Valley: la idea del «progreso compuesto» o la automejora recursiva es, por ahora, mucho más bombo que realidad.
- Sobre las universidades: el problema para los jóvenes es que el sistema educativo se adapta muy despacio. Le parece lamentable que aún se pueda acabar Informática sin haber hecho nunca una llamada a la API de un modelo de IA avanzado.
- Sobre contratar: ninguno de sus equipos contrata a un ingeniero que no sepa usar un agente de programación con IA. Este verano solo contrató becarios «nativos de IA», y trabajaron de maravilla.
"Los empleos existen, pero hay que arreglar el sistema educativo."
La entrevista completa: youtube.com/watch?v=J-sMqnzH…
Adrián Cal retweeted
EL SINAE RECOMIENDA PREPARAR UN BOLSO DE EMERGENCIA ANTE POSIBLES INUNDACIONES
El Sistema Nacional de Emergencias recomienda tener listo un bolso con documentos, medicamentos y artículos esenciales para afrontar las primeras 72 horas de una emergencia, especialmente en zonas inundables.
El bolso permite responder con mayor rapidez ante una eventual evacuación y contar con elementos básicos durante los primeros tres días.
Qué debe incluir
Un botiquín con vendas, gasas, tijeras, analgésicos y termómetro. También documentos de identidad protegidos en bolsas herméticas y una lista de contactos familiares y de emergencia.
El Sinae aconseja agregar una radio a pilas, linterna, baterías de repuesto, fósforos o encendedor y botellas de agua.
Si hay que evacuar
Se recomienda llevar ropa, artículos de higiene, medicamentos habituales, cargadores y alimentos especiales para bebés o mascotas. También pueden incluirse juguetes o libros.
Plan familiar
El organismo aconseja definir previamente lugares de encuentro, teléfonos de contacto y medidas específicas para niños, adultos mayores, personas con discapacidad y quienes requieren tratamientos médicos.
Los hogares con mascotas deben prever cómo trasladarlas y dónde alojarlas.
Cómo actuar ante una emergencia
El Sinae recomienda mantener la calma, llamar al 9-1-1, seguir las instrucciones de las autoridades y consultar fuentes oficiales.
(+) en Montevideo Portal: m.uy/uc978697
Adrián Cal retweeted
RustGIS vs. QGIS: which one should you use?
It's the question I get asked most about RustGIS, so we wrote a dedicated page that answers it honestly, including where QGIS is the better choice.
The short answer: RustGIS is not a QGIS replacement, and doesn't aim to be. QGIS is the mature, complete open-source desktop GIS, with 20+ years of development behind it. RustGIS is younger and narrower, but built differently.
Where RustGIS is stronger
- Tiny install: one native program written entirely in Rust, an 18-30 MB download with no Python, Qt or GDAL bundled.
- The whole app in your browser: not a viewer, the full GIS compiled to WebAssembly at web.rustgis.app, with your data staying on your device.
- Everything is a command: every button runs a command you can call from the CLI, Python, notebooks, the MCP server or the AI Assistant.
- A built-in AI Assistant that works through undoable commands, with your own model and key.
- Sandboxed WebAssembly plugins that run on the desktop and in the browser.
- Cloud-native data (COG, GeoParquet, FlatGeobuf, PMTiles, Zarr) read in place, even in the browser.
- A permissive Apache-2.0 licence, so its crates can be embedded in other software.
Read the full comparison: rustgis.app/comparison/qgis
Try RustGIS
- Web app: web.rustgis.app
- Download: downloads.rustgis.app
- GitHub: github.com/opengeos/RustGIS
#GIS #QGIS #Rust #OpenSource #Geospatial
Adrián Cal retweeted
A sharper view of our changing planet is coming. 🛰️🌎
Meet LandIS, the Landsat Instrument Suite that will fly aboard Landsat 10, the next satellite in the Landsat series.
With 26 spectral bands spanning visible light to thermal infrared, LandIS will collect more than twice as many bands as Landsat 8 and Landsat 9. These additional bands will help users better distinguish features on Earth’s surface and monitor water quality, agriculture, vegetation health, snow and ice, soil conditions, and other environmental parameters.
LandIS will also capture finer spatial detail, with resolutions of 10 to 20 meters for visible, near-infrared, and shortwave-infrared observations. That means a clearer view of smaller features, including streams, streamside habitats, woodlots, and individual agricultural fields.
Together, more spectral bands and finer spatial resolution will help users detect, distinguish, and track environmental change with greater detail and precision.
Expected to begin operations in the early 2030s, LandIS will also continue Landsat’s coverage of sunlit land and near-shore waters, along with select nighttime observations. It will also uphold the program’s high standards for data accuracy, extending a record of Earth observations that spans more than 54 years.
Learn more about Landsat 10 and its planned capabilities: ow.ly/X4gK50ZW4EE
📷: A visual comparison of spatial resolution showing the 30-meter pixels of Landsat 8 and 9 (left) alongside the finer, more detailed 10-meter pixels planned for Landsat 10 (right). Credit: NASA
ALT Comparison of Landsat 8/9 and Landsat 10 satellite images showing pixel resolution differences with 30m and 10m pixel grids over farmland.
Adrián Cal retweeted
Say hello to Oki Home, your Personal AI Computer.
We're building a future of limitless, personalized intelligence for every consumer, while keeping all your data in your hands.
Reserve our first batch, shipping mid-december! okihome.ai
Adrián Cal retweeted
Pocos imaginaban a Ben Affleck tan cercano a la programación y a la IA desde el lado técnico.
Ben Affleck reveals he writes Python, understands convolutional neural networks, worked extensively with GPUs, and used his celebrity status to get private looks at Google and OpenAI’s video models
“I’ve always been kind of into computers since I was young. Then, when film started to move from analog film to digital, I became more interested in that aspect of it. The visual-effects workflow for many years has included machine learning, so I can write pretty shitty Python scripts and stuff like that.
“With convolutional neural networks, which were the precursors to what the transformer can do, which is much more computation simultaneously, you would do things like look at what’s called a tensor. That’s the numerical translation of a visual image in numbers, like the batch number, the frame number and the red, green and blue values of each pixel in each frame. It’s just that simple. That numeric is called a tensor.
“You’d use a convolutional neural network to identify patterns that reveal what’s called edge detection or feature extraction, which is identifying patterns well enough to know, this is where the window ledge is, so we can more easily take the green-screen image out and replace it with something.
“That was familiar to me early on because, prior to Artists Equity, I had a small visual-effects company. I’ve worked with GPUs a lot too. The visual-effects guys said, ‘Hey, you should see. There are a couple: Google and this other company, OpenAI, are doing really interesting stuff with transformers in video.’
“I’ve learned that I can actually just call up and go, ‘Hey, it’s Ben Affleck. Can I come see what you’re doing?’ Sometimes people say yes, to my astonishment.”
Adrián Cal retweeted
Ben Affleck reveals he writes Python, understands convolutional neural networks, worked extensively with GPUs, and used his celebrity status to get private looks at Google and OpenAI’s video models
“I’ve always been kind of into computers since I was young. Then, when film started to move from analog film to digital, I became more interested in that aspect of it. The visual-effects workflow for many years has included machine learning, so I can write pretty shitty Python scripts and stuff like that.
“With convolutional neural networks, which were the precursors to what the transformer can do, which is much more computation simultaneously, you would do things like look at what’s called a tensor. That’s the numerical translation of a visual image in numbers, like the batch number, the frame number and the red, green and blue values of each pixel in each frame. It’s just that simple. That numeric is called a tensor.
“You’d use a convolutional neural network to identify patterns that reveal what’s called edge detection or feature extraction, which is identifying patterns well enough to know, this is where the window ledge is, so we can more easily take the green-screen image out and replace it with something.
“That was familiar to me early on because, prior to Artists Equity, I had a small visual-effects company. I’ve worked with GPUs a lot too. The visual-effects guys said, ‘Hey, you should see. There are a couple: Google and this other company, OpenAI, are doing really interesting stuff with transformers in video.’
“I’ve learned that I can actually just call up and go, ‘Hey, it’s Ben Affleck. Can I come see what you’re doing?’ Sometimes people say yes, to my astonishment.”
$ANET Andy Bechtolsheim says AI has made optics demand about 10 times bigger in five years and the industry is only at the "very beginning"
"So I guess I don't need to tell you that AI has been driving this incredible increase in demand for high-speed optics, which is probably now 10 times bigger than it used to be five years ago..."
"And what I want to talk to you today is that we're not at the end of this journey, but rather the very beginning. There's easily another order of magnitude increase in bits needed for the next generation kind of data centers."
"So what I want to talk about first is what's happening at the data center level, and how we as an industry have to get together to solve these problems of this very rapid and high demand growth as fast as possible, since AI can't wait."
______
For full set of takeaways to Andy's AI Datacenter and Optics lecture: firesidealpha.substack.com/p…
Adrián Cal retweeted
Introducing Core, The Personal Al Computer
The most powerful technology humanity has built should belong to you
Order today: ghost.ai
Adrián Cal retweeted
Geoffrey Hinton: AI wasn’t designed by humans. We only designed the learning algorithm.
“When this learning algorithm interacts with data, it produces complicated neural networks that are good at doing things.”
“But we don’t really understand exactly how they do those things.”
“One of the ways these systems might escape control is by writing their own computer code to modify themselves.”
Adrián Cal retweeted
The idea of an intelligence explosion caused by recursive self improvement has been around for a long time but until very recently it did not seem imminent. Now many leading researchers think it may happen quite soon. You can read our paper about it here:
casp.ac/reports/intelligence…
Adrián Cal retweeted
Número de artículos científicos enviados a arXiv. Ya se ve que esto es ingobernable...
Adrián Cal retweeted
Had opus 5.5 make a video predicting the next 50 years
I'm optimistic that the end will be beautiful, but the transition will be a little rough
Adrián Cal retweeted
"Hoy en día eso se lo pasás a alguna de las inteligencias artificiales y te lo resuelve y te lo pone todo divino. Y es un problema eso, porque si no aprenden a hacer las cosas se complica".
En la Columna de Futuros, de Pablo Casacuberta, conversamos con Pablo Musé, ingeniero eléctrico, doctor en Matemática Aplicada y profesor titular del Departamento de Procesamiento de Señales de la Facultad de Ingeniería de la Universidad de la República.