Ramsés Mendoza

I'm not a cyborg.

[El Rey @MrReyKing]

Aprovechó el espacio para dar un mensaje, tremenda pedota pero con labor social JAJAJAJAJA

[𐌁𐌉Ᏽ 𐌕𐌉𐌌𐌉 @OrevaZSN]

This is your friendly reminder that data centres don’t actually need water. They need a cooling system and are using water because it’s the cheapest way to do it.

[Massimo @Rainmaker1973]

Earth compared to the largest known star in the Universe: Stephenson 2-18

[🎞️ skyboundcuriosity]

[Mathematica @mathemetica]

Diagram that maps the nested universe of numbers; from counting 0, 1, 2… all the way to complex numbers; showing precise relationships and examples at each level.

Natural numbers N (0, 1, 2, 3) ⊂ Integers Z (…, −2, −1, 0, 1, …) ⊂ Rationals Q (½, −2/3, …) ⊂ Real algebraic numbers A_R (√2, −√3, …) ⊂ Reals R (π, e, …), with transcendentals outside algebraics. Extending upward: pure imaginaries and algebraic complexes A, culminating in full complex numbers C (a + bi).

The structure accurately reflects set inclusions and classifications used in mathematics.

[Math Files @Math_files]

π² is the surface area of the horn torus whose tubing is of unit diameter — in other words, the surface area of the following shape, assuming the two circles of its vertical cross section have unit diameter.

[International Cyber Digest @IntCyberDigest]

Test this, Google.

[‏ً @omgsidewalks]

I don’t want AI in every app. I don’t want data centres in space. I don’t want a city on Mars. I don’t want humanoids or flying cars.

I want clean water. I want a stable climate. I want bees to survive. And a habitable planet.

[tetsuo @tetsuoai]

Neural Network Visualization

[Gaurab Chakrabarti @Gaurab]

Voyager 1 is 16 billion miles from Earth, still transmitting data. Its power source has been running for 48 years. Voyager is kept alive by a single isotope. 4.5 kilograms of plutonium-238 sits inside a thermoelectric generator. As the isotope decays, it produces heat. 312 silicon-germanium thermocouples convert that heat into electricity. The generator has no moving parts. Hot side at 1,000°C, cold side at 300°C. 470 watts at launch from that temperature gap. The generator is 93.5% inefficient. That inefficiency is what keeps the spacecraft from freezing at -270°C. Power has decayed from 470 watts to 220 since launch. Engineers have shut down 8 of its 10 instruments to squeeze a few more years of data out of interstellar space. Starting in the 1970s over 2,000 plutonium-powered pacemakers went into human chests. Now researchers are replacing plutonium with carbon-14 in synthetic diamond. Carbon-14 only emits beta radiation and the diamond blocks all of it. A 5,700-year battery safe enough to hold in your hand.

[𐌁𐌉Ᏽ 𐌕𐌉𐌌𐌉 @OrevaZSN]

After the pandemic, we had the perfect chance to make remote work the new global standard, and we completely fumbled it. Seriously, what happened? Why did so many companies rush to drag everyone back into the office?

[‏ً @omgsidewalks]

SERIOUS QUESTION: why do AI data centers need fresh water. Not recycled. Not wastewater. Fresh, drinkable water, burned through by the millions of gallons just to keep servers cool. Why are we using a basic human necessity to prop up machines ??

[Prasenjit @Star_Knight12]

these two software carried a whole generation of internet

[Joe Rogan Podcast News @joeroganhq]

Jeff Bezos:  "I'm going to give away the majority of my wealth, but if I do my job right, the value to society and civilization from my for-profit companies will be much larger than the good that I do with charitable giving."

[Ramsés Mendoza @mgRamses]

@__elabogato @DavidPramo2 Hoy en día todo es hackeable.

[Shreya @Oblivious9021]

Interviewed a Full Stack intern today.

Resume:
• React.js ✅ • Node.js ✅ • JWT Authentication ✅ • Built multiple full-stack projects ✅

Me: When you log into Instagram and refresh the page, why don't you get logged out?

Candidate: 🤐

It's one of the simplest web development questions.

Yet it reveals whether someone understands authentication or just uses libraries.

Do you know why? 👇

[Karthik Hariharan @hkarthik]

Several software engineers will end up leaving the field.

Over the last 15 years, software engineering became a reliable, well paid job. This grew the field immensely.

Now it’s more like it was before this period: a job only for the people who crave change and adaption, even if it means less stability and predictably. And may not end up paying as well as it used to.

[Operador Nuclear @OperadorNuclear]

Durante años, Meta, Google, Microsoft o Amazon presentaban las energías renovables como la solución para alimentar sus centros de datos.

Sin embargo, su discurso ha cambiado. El crecimiento explosivo de la inteligencia artificial está obligando a estas compañías a buscar también fuentes de energía capaces de suministrar grandes cantidades de electricidad de forma continua, las veinticuatro horas del día.

En este contexto, Meta ha firmado un acuerdo con TerraPower, la empresa fundada por Bill Gates, para impulsar el despliegue de hasta ocho reactores avanzados Natrium. Cada unidad tendrá una potencia de 345 MW, lo que permitiría alcanzar una capacidad total cercana a 2,8 GW, equivalente a casi tres grandes reactores nucleares convencionales.

El diseño Natrium combina un reactor refrigerado por sodio con un sistema de almacenamiento térmico mediante sales fundidas capaz de aumentar temporalmente la producción eléctrica cuando la demanda lo requiere. La tecnología busca aportar la fiabilidad de la energía nuclear junto con una mayor flexibilidad operativa.

Las primeras unidades están previstas para la próxima década, pero el verdadero significado de esta noticia va mucho más allá de un proyecto concreto. Las empresas que lideran la revolución de la inteligencia artificial están descubriendo que disponer de energía abundante y fiable es tan importante como contar con los mejores chips o los algoritmos más avanzados.

La carrera por la inteligencia artificial se está convirtiendo también en una carrera por la energía, y cada vez más tecnológicas consideran que la energía nuclear será una pieza fundamental de ese futuro.

https://t.co/UI0Prj6NBe

https://t.co/YuLKhZZ5ZQ

[Ramsés Mendoza @mgRamses]

@eudtoxic ⚠️ ¿¡Quién te enseñó que eso es el matrimonio!?

[Deedy @deedydas]

Most software engineers are facing an identity crisis bordering on depression.

As CTOs aggressively evangelize tokenmaxxing, a class divide ensues.

The lazy. The lazy push code. They don't write it. They don't manually test it. They don't even read it. They're on autopilot. See Jira ticket, prompt for task, submit code. Many of them are barely on their computer the whole day. A comment on the PR asking why they did this? The lazy ask AI. A Slack message? The lazy ask AI. Need to prepare for standup? The lazy ask AI. As long as it sounds enough like them and isn't detected. Some of the lazy are even overemployed, and work multiple jobs. The lazy smart ones get away with this, and even rewarded. After all, software engineering for the lazy is just a dance to convince your colleagues you're smart and hard working.

The craftsmen. The craftsmen are tired. Very tired. 15 PRs in queue. Slack blowing up. The entire burden of review falls on the craftsman. The burden of understanding. They try. They work their way through the code, thoughtfully commenting to improve what ships. The response? A lazy: "That's a clever idea! You're absolutely right." with an incorrect change. It's fine, the craftsman says. I can fix them. They write a doc urging his colleagues to be better. The next day? 20,000 line PR to review. Day after day, their workload grows. Bugs seep into production. No one seems to care. Another round of AI is thrown at it. Their animosity to their colleagues rises. Eventually, they give up. It's just not what it used to be. The craft they loved is dead. They eventually wake up, a lazy.

This isn't all companies. Many companies are genuinely more productive, adopt the right set of principles and practices around AI development and have highly talented teams that trust each other. It tends to happen in bigger companies that are 10+yrs old with a higher talent variance. But it happens. A lot.

[Ramsés Mendoza @mgRamses]

@bitforth Ya leí bien todo el contexto de esta conversación. Y esto es un buen ejemplo del desarrollo de software potenciado por IA. 👌🏻 ¿Tienes cursos sobre esto? Gracias por compartir este conocimiento.