YOVNGBLANC

21+ años ♍ 2x Ingeniero UPRM Dictador… Ciudadano del Multiverso. Te lo voy a meter en el Metaverso. Alienígena ancestral y reptiliano… veo tetas y doy like.

[YOVNGBLANC @Rados0]

Siento que esto es un psyop para generar más putas o influencers de OnlyFans…

[Sophie Rain @sophieraiin]

my first walk at miami swim week 🥹

[Asteri @Asteri_eth]

Karpathy found a way to reduce token consumption by 90%

The problem is that the LLM re-reads the same files over and over again, loses context between documents, and provides less accurate answers as a result

The solution is called Wiki Layer the LLM cleans, structures, and links all your data once, after which it never works with raw files again

Three folders `raw/` for originals, `wiki/` for a clean knowledge base in Markdown, and files with rules for the agent

Result up to 90% token savings on repeat queries, automatic links between documents, and a visual knowledge graph in Obsidian

Everything stays on your local machine nothing goes to the cloud

[darkzodchi @zodchiii]

Anthropic engineer:

"You can build 5 assistants in one afternoon. Each one handles a task you've been doing manually every single day."

In 45 minutes he builds 5 focused agents from scratch on camera.

Most people are still doing code review, testing, and documentation by hand every single day

Watch the session, then save all templates below 👇

[kache @yacineMTB]

There is an autism lottery. Either you're autistic about something totally monetarily useless like sonic speedrunning, or you are autistic about something that makes a fuck ton of money like GPU schedulers

[Pope Leo XIV @Pontifex]

Artificial intelligences do not undergo experiences, do not possess a body, do not feel joy or pain, do not mature through relationships, and do not know from within what love, work, friendship or responsibility mean. Nor do they have a moral conscience, since they do not judge good and evil, grasp the ultimate meaning of situations, or bear responsibility for consequences. They may imitate or even simulate, but they do not understand what they produce, for they lack the affective, relational, and spiritual perspective through which human beings grow in wisdom. #MagnificaHumanitas

[Pope Leo XIV @Pontifex]

Deep inner suffering inevitably arises when the human person is reduced to performance, consumption, or a statistical datum. Many young people today live under the yoke of expectations to perform, immersed in an exasperated competitiveness that generates anxiety, fear of not measuring up, and disorientation.

[Pope Leo XIV @Pontifex]

In order to protect the human person in the age of #ArtificialIntelligence, we must once again reflect on the common good, the universal destination of goods, subsidiarity, solidarity and social justice. #MagnificaHumanitas
https://t.co/Oe8yclDxkr

[Pope Leo XIV @Pontifex]

Today, among the goods that are universally intended for everyone, we must also include new forms of property, such as patents, algorithms, digital platforms, technological infrastructure and data. In a context where the wealth of nations depends increasingly on knowledge and technology, when these goods remain concentrated in the hands of a few, without adequate forms of sharing and access, a new imbalance is created that contradicts the universal destination of goods. In turn, it widens the gap between the included and the excluded, between those who can participate in the digital revolution and those who remain on the margins. #MagnificaHumanitas

[Mario Nawfal @MarioNawfal]

The CEO of Take-Two, the company behind GTA, just said something the entire AI industry doesn't want to hear.

And he said it without being anti-AI.

Strauss Zelnick's argument is precise. AI is built on datasets. Datasets are backward-looking. Creativity is forward-looking. A model trained on everything that already exists cannot, by definition, produce something genuinely unexpected. And all hits, by their very nature, are unexpected.

Asset creation and hit creation are not the same thing. AI is getting very good at the first one. The second one is what actually makes money, builds franchises, and changes culture. Nobody has shown AI can do that yet.

The derivative property problem is real. You can clone GTA with existing technology. You could do it before AI. It would take 3 years and look identical. It still wouldn't sell. Because it isn't GTA. It's a clone of GTA.

And consumers, despite what the industry occasionally pretends, can feel the difference between something genuinely new and something assembled from the residue of things that already worked.

Thousands of mobile games ship every year. 0 to 5 hits get made. The same studios make them every time. The technology to make more games has been commoditized for years. It didn't democratize hit creation. It just flooded the market with more forgettable product.

The Silicon Valley thesis that AI unlocks game creation for everyone is true in the same way that cheap cameras unlocked filmmaking for everyone. They did. And the same 5 studios still make the movies everyone watches.

What Zelnick is saying, without quite saying it, is that the thing AI cannot replicate is taste. The instinct for what hasn't been done yet. The cultural antenna that detects the gap in the market before the data can see it.

Data tells you what people wanted. Hits tell people what they want next.

Those are different jobs.

[kache @yacineMTB]

I would rather work an unstable job for one year and make five times the money than work a stable job for five years to make the same amount of money

[kache @yacineMTB]

It's a very strange place to be working in tech. You can have your entire career about to disappear in front of you and yet you maintain a sense of calm. The truth is working in tech was never stable it always changed every couple of years. The only constant has change

[tokio ♡ becky @hyunsitomiau]

kiero tener unas buenas tetas en mi boca

[YOVNGBLANC @Rados0]

El sueño es una así…

[mone @mone61136147793]

Que ganas de que me coman las tetas

[rewind @rewind02]

Andrej Karpathy spent 4 minutes in an interview explaining a single idea

about how most people haven’t even started learning how to use AI

and everyone paying $20/month for a subscription.. that's not really using Claude at all

his point is that the real skill gap is the ability to build with AI

he identified 4 behaviors that break Claude Code and put them all into one file

a developer expanded it into 21 rules and published it - 82,000 stars and #1 on GitHub Trending

coding accuracy jumped from 65% to 94%

here's what these 21 rules actually are and why most developers using Claude every day have never configured them

the full breakdown is covered in the article below 👇

[kache @yacineMTB]

/goal replicate all of thang010146's mechanisms in cad make no mistakes

[Pope Leo XIV @Pontifex]

When simulation becomes the norm, it weakens the human capacity for discernment. As a result, our social bonds close in upon themselves, forming self-referential circuits that no longer expose us to reality. We thus come to live within bubbles, impermeable to one another. Feeling threatened by anyone who is different, we grow unaccustomed to encounter and dialogue. In this way, polarization, conflict, fear and violence spread. What is at stake is not merely the risk of error, but a transformation in our very relationship with truth.

[ej @ejdickson]

For @WIRED, I spoke to a med student in India who made thousands of dollars duping MAGA fans by creating a blonde AI influencer named "Emily Hart." Here's how he did it.

[The White House @WhiteHouse]

President Trump saying WINNING for 1 hour. 🔁

Can't stop, won't stop.

[LOS COJONES DE MAZINGER @VladeMaxFlava]

@alejperez_ @ciudadfutura Los evangélicos no son cristianos. Son mini-judíos.

Otra operación de la CIA para acabar con el Catolicismo.

[William B. @gimmetruez]

@Red_Pill_US I won't believe that 1984 science fiction thing until a major billionaire tech oligarch tells us in his own words!

Oh, shit! 😠

https://t.co/OqeurmXwQc