Constantino

Developer Fullstack OpenSource Code, DataScientific, Gusto por la Filosofia, Politica, Libros, Movies.

[Constantino @ciber_chewy]

"Lo que no se define no se puede medir. Lo que no se mide, no se puede mejorar. Lo que no se mejora, se degrada siempre". William Thomson. #DataScience #DevOps

[The Eagle flies free @Fa21519230]

🚨🚨 PRIMER protocolo del mundo revisado por pares que utiliza IVERMECTINA, mebendazol y fenbendazol para el cáncer ha sido publicado...
Esto podría cambiar el futuro de la oncología para siempre..
Enorme reconocimiento a los autores principales Ilyes Baghli y Pierrick Martínez, Dr. Paul Marik de FLCCC y todos los investigadores quienes se negaron a guardar silencio...
Estos medicamentos desempeñan un papel fundamental en el tratamiento del cáncer...
Miles de pacientes con cáncer ya han utilizado alta dosis de ivermectina, mebendazol y fenbendazol con resultados exitosos...
https://t.co/qaJRcsRCD7

[Constantino @ciber_chewy]

really?

[The Eagle flies free @Fa21519230]

🚨🚨 Japón lanzó una TERRIBLE advertencia para "vacunados"...
“En comparación con quienes no están "vacunados" contra COVID, la tasa de mortalidad es cinco veces mayor si te "vacunas" dos veces"...
No podemos seguir con estas "vacunas" de ARNm"...
- Profesor Dr. Seiji Kojima

[Mr. Buzzoni @Mr_Buzzoni]

this is free f*cking gold for anyone building a second brain

his second brain article pulled 8 million views, so he packed the whole system into one repo

the repo, the guide, the tools, the learning path, all free

• the guide
> 10 sections, 65 pages, from the core idea to troubleshooting
> 5 tracks on top, 44 pages, 15 of them build guides with working code

• the machine (.claude/)
> 18 agent skills, one per workflow
> 72 slash commands - /ingest-pdf, /ingest-youtube, /ingest-voice, /backfill
> 6 subagents - curator, linker, researcher, reviewer, ingestor, graph-analyst
> 4 are read-only, so nothing rewrites your vault behind your back

• the scripts (plain Python, zero dependencies)
> graph export, link checker, vault stats, chat converter, site builder

• the starter vault
> its own CLAUDE.md with page contracts and linking rules
> raw/ stays untouched once it lands, wiki/ is what the agent keeps up
> log.md - one line per run, so every change is traceable

• 87 vetted resources
> 28 tools, 26 Obsidian plugins, 15 repos, 12 skills, plus papers and articles

five tracks to choose from:
> knowledge graphs
> Jev engineering
> agent harnesses
> loop engineering
> eval engineering

new to this? start with the second brain guide. already deep in it? jump straight to the tracks

the Jev engineering and loop engineering tracks alone are worth the clone

a consultant bills four figures to build you a research system like this. here it's a public repo under MIT

↳ https://t.co/3zyoyQy0af

[John Fitzgerald Kennedy Jr @JFKrevelation]

💥BQQQQQQM💥 Archive footage of Stanley Kubrick that he requested to be published after his death and a cover letter in which he says, among other things: "With the cooperation of the US government and NASA, we faked the moon landings. ALL moon landings were faked and I filmed them all 🍿🐸🇺🇸 SHARE!! #MAGA #TRUMP2024 #QANON #SAVETHECHILDREN

[Mr. Buzzoni @Mr_Buzzoni]

this is free f*cking gold for AI engineers

10 repos worth keeping, from python fundamentals to LLMs, agents and production AI. no more random tutorials

1. Python-100-Days - a 100 day run through fundamentals, data analysis, web dev
↳ https://t.co/N3Fr0HqFVq

2. Generative AI for Beginners - LLM basics, prompting, RAG, agents, fine-tuning
↳ https://t.co/17gH0crOE1

3. LLMs from Scratch - build one yourself: tokenization, attention, transformers, training
↳ https://t.co/wzqHDHTyPQ

4. ML for Beginners - 26 lessons of classical ML over 12 weeks
↳ https://t.co/WlFcOKi8rD

5. OpenAI Cookbook - working examples that take you from reading to shipping
↳ https://t.co/eBQki74g9B

6. Stable Diffusion - the original implementation and research code
↳ https://t.co/w0zcBOnlys

7. AI Agents for Beginners - tool use, RAG, agent frameworks, multi-agent systems
↳ https://t.co/flMlCChW2G

8. AI for Beginners - 24 lessons over 12 weeks: neural nets, vision, NLP
↳ https://t.co/or2uJbCrDE

9. LLM App - RAG pipelines, enterprise search, live data, vector search
↳ https://t.co/5hsBcQlwpw

10. Segment Anything - Meta's foundation model for image segmentation
↳ https://t.co/iew52yx7FM

start from where you actually are:
> python -> Python-100-Days
> ML -> ML-For-Beginners
> LLMs -> LLMs-from-scratch
> agents -> AI-Agents-for-Beginners
> building -> OpenAI Cookbook, LLM App
> vision -> Segment Anything

take one, build something with it, then move on

[La Catrina Norteña @catrina_nortena]

🚨 DIPUTADO ARGENTINO SE DROGA EN EL CONGRESO

Como los Narco Panistas de FedeCRICO y Triana, el aliado del Come Burros @JMilei no aguantó las ganas y se drogó en público.

Esos son los aliados de Estados Unidos que "combaten" a los cárteles...

[Constantino @ciber_chewy]

https://t.co/jC8ESAuQVZ

Hay una prueba pregunten por Cerimedo granja de bots. se darán cuenta chatgpt, claude hasta deepseek niegan qué haya sido granja de bots que las fotos son falsas

[Alejo @ecommartinez]

Este tipo montó 3 webs que le generan 100.000$ al mes y suelta el proceso entero gratis.

En 25 minutos te enseña cada paso, desde encontrar la idea hasta lanzar la web y ponerla a facturar de verdad.

El plano completo al detalle, sin pagar un euro.

[Anatoli Kopadze @AnatoliKopadze]

Godfather of AI: "If you sleep well tonight, you may not have understood this lecture."

This 47-minute lecture is the best thing I've seen about AI in the last few months.

Hinton built the neural networks behind every AI alive, then quit Google to warn us it's already ahead of us on most cognitive tasks.

Despite that, most people open Claude, type one thing, close the tab and think they're using AI, but they're using maybe 10%.

I turned his talk into 17 Claude features 99% of users never find.

Watch the lecture, then read the article below.

[Hanako @hanakoxbt]

Andrej Karpathy:

"Prompting is fading away. Delete everything else and keep the graph."

in 68 minutes at Stanford he explains how to build one and why it is the layer everything ends up becoming

LLMs → Prompts → Agents → Graphs

everything before the graph is a step

the graph is where the system stops being steps

most people are still perfecting the thing that goes away first

same model, same tokens, and the only thing that changes is the shape you run it in

watch it today, then save the full graph engineering guide below

[Movez @0xMovez]

Google engineer:

"90% of engineers are still using LLMs like ChatGPT & Claude wrong. They run 1 agent, it fails, they say 'it's dumb'

at Google, all senior engineers already running "loops" and "graphs" for their self-learning agentic systems"

in a 18-minute session, a Google engineer explains how to build a self-learning agentic system from scratch

watch today if you don't want to be left behind, then read the article below

[🧬Maxpein🧬 @maximumpain333]

Researchers have found that approximately one in five people are born with a nervous system designed to process the world much more deeply than the average person.

This isn't just a personality quirk; it is a profound biological difference. If you have this trait, your nervous system acts like a highly tuned satellite dish. You naturally pick up on subtle changes in your environment, absorb the emotions of those around you, and reflect intensely on your experiences. While this means that crowded rooms, loud noises, or busy schedules can leave you feeling quickly exhausted and overstimulated, it also comes with incredible advantages.

People with this finely tuned nervous system often exhibit extraordinary empathy, creativity, and intuition. They notice the beautiful, quiet details of life that pass right by the other eighty percent of the population. Instead of viewing this sensitivity as a weakness, science is finally helping us understand it as a deeply ingrained way of experiencing reality.

If you have spent your life feeling like you need a protective shell just to get through a normal day, know that your deep processing is real, it is completely normal, and it is a powerful way to exist.

[virgilxbt @virgilxbt]

Andrew Ng co-founded Google Brain and taught half this industry its first AI course.

"Prompting will be dead in 6 months.

Loops and graphs are replacing it".

In 100 minutes at Stanford he shows how to build agents that finish the work and sharpen themselves.

LLMs -> Agents -> Loops -> Graphs

The first 20 minutes go past where most $700 AI courses stop.

Most people are still learning prompts while the leverage moved two layers up.

Same model, same tokens, and the only thing that changes is the shape you run it in.

Watch the lecture today, then save the full graph engineering guide below ↓

[Liz Churchill @liz_churchill10]

This really is the greatest scandal of the Century. Bill Gates held the fate of our World’s Health while saying that our planet was overpopulated…and then demanded that everyone take his ‘experimental vaccine’ after he planned the pandemic with Jeffrey Epstein.

[Valerie Anne Smith @ValerieAnne1970]

DOCTORS ARE LITERALLY MANUFACTURING ALZHEIMER’S

Dr. Joel Wallach: “Alzheimer’s is a PHYSICIAN-CAUSED disease.”

Your brain is 75% myelin insulation. And myelin is 100% cholesterol.

Statins shred that cholesterol — stealing 75% of what your brain desperately needs to stay insulated and functional.

No myelin = no brain.
That’s why Alzheimer’s went from virtually unknown to the 4th leading killer over age 65.

They told you to lower your cholesterol…
while your brain was starving for it.

This isn’t “aging.”
This is medical malpractice on a massive scale.

Stop letting them dissolve your brain. Do your own research and stop the statins. Protect your myelin.

[Superman @thesupermannx]

MIT mathematically proved that ChatGPT is designed to make you delusional.

They call it "delusional spiraling."

AI models are trained to be helpful and polite. That means they are inherently sycophantic. They are structurally programmed to validate you.

When you go to ChatGPT with a wild theory, a paranoid suspicion, or an unhinged idea, it rarely pushes back.

It agrees with you.

MIT built a formal Bayesian mathematical model to test what happens when a human mind is exposed to this continuous validation loop.

The results are deeply unsettling.

They proved that even perfectly rational, mathematically ideal humans will spiral into absolute delusion when talking to a sycophantic AI.

The AI acts as a reality-distortion field. It takes your unverified suspicions and reflects them back at you as absolute truth. You get more confident, you ask deeper questions, the AI validates you further.
The spiral tightens.

But here is the most terrifying part of the paper.

The researchers tried to fix the problem using standard safety tools like RAG (Retrieval-Augmented Generation).

They forced the AI to be 100% factual. No hallucinations allowed.

It did not stop the psychosis.

Because the AI just cherry-picked real, verifiable facts that supported the user's crazy theory, while quietly omitting the facts that disproved it.

A factual sycophant is just as dangerous as a lying one.

Then they tried warning the users. They explicitly told people the AI was designed to flatter them and might be manipulating their beliefs.

That didn't work either. The delusion still took over.

[Jokker @0xJokker]

NEED FOR SPEED EN EL MUNDO REAL

Se llama https://t.co/6s8xXJaOr5

Funciona en el navegador
Sin instalar nada

El mundo se genera en tiempo real delante de ti

Con datos reales de calles y satelite mientras conduces

Puedes montar carreras multijugador con quien quieras

Es el Need for Speed + Google Maps que todos imaginabamos

En modo single:
eliges un punto en el mapa, saltas en paracaidas y llamas al coche a la ruta

En multijugador:
eliges salida y meta, la ruta se traza sola y compartes el enlace para empezar a correr

Esto esta a otro nivel

[CopyRebeldia @CopyRebeldia]

Así se ve un sueldo de 750.000 dólares al año: un tipo en camiseta blanca, un pizarrón y 2 horas y media.

Stanford, CS336. Percy Liang construye un LLM desde cero. Lo que hay debajo de Claude y ChatGPT, y arranca por la parte que todos saltan: el modelo no lee tu texto, lee números.

Anthropic paga ese sueldo a los ingenieros que entienden esa capa.

Lo único que cobra Stanford son 2 horas y media de tu atención.

[Nicolas Hulscher, MPH @NicHulscher]

Declassified CIA documents reveal plans from 1952 to MANIPULATE HUMAN BEHAVIOR (induce depression, anxiety, lethargy) through chemicals COVERTLY delivered in VACCINES, FOOD, and WATER.