Valentun Ryzhyk

[Vel0x @vel0xAI]

A Japanese television crew documented a housing complex where nearly 80% of the residents were foreigners, and rules were being violated almost daily. The building’s owner was contemplating hiring a bilingual manager to address growing concerns—handling complaints, translating notices, and clarifying basic guidelines on trash disposal, noise levels, shared spaces, and package deliveries. Just as he faced mounting frustration over the search for someone who spoke even three of the building’s most common languages, an online advertisement caught his attention. The pitch promised: "We build an AI agent for any task."

Although skeptical, the owner clicked out of curiosity. He had spent two weeks interviewing candidates with no success. The ad offered a solution in stark contrast to his struggles: a single AI capable of tackling any task in any language. Hesitantly, he gave it a try and typed a straightforward request: "Keep my residents following the rules." With that, he closed his laptop and moved on, barely considering the decision.

Later in the TV segment, an easily overlooked detail encapsulates the heart of the transformation. At the one-minute mark, the camera captures a notice posted by the trash room. Written in nine languages, it’s updated weekly and signed by nobody. On-screen, the building manager admits he neither understands these languages nor writes the notices himself. The AI does.

The AI goes beyond merely policing rules; it responds to complaints at the front desk, deciphers messages from tenants, identifies which rules are most often misunderstood, and rewrites them in clear, accessible terms. When someone misclassifies their trash, the system avoids vague reprimands like "follow the rules." Instead, it offers concise yet thorough explanations in that particular resident’s native language. It details why proper disposal matters, what consequences arise if ignored, and how to fix the mistake.

This was precisely the kind of communication a senior Japanese resident hadn’t been able to achieve for months, despite her relentless—and increasingly frustrated—efforts to correct her neighbors in her own language. The AI conveyed what she could not: clearly articulated instructions in the tenants’ native languages. After one rule clarification with added cultural context, compliance improved noticeably. As it turned out, it wasn’t defiance that had stoked misunderstandings; it was the absence of properly tailored explanations.

One Vietnamese tenant shared with the TV crew that karaoke at home had always been normal in her culture. Until she received the AI-translated notice, she hadn’t realized her singing created a disturbance for neighbors. The agent addressed her kindly and without judgment. It rephrased the building’s noise policy into Vietnamese, accounted for quirks like thin walls, listed quiet hours, and slid a note beneath her door one Friday before the weekend. The noise stopped entirely after that.

Interestingly, this quiet revolution was spurred indirectly by government policy. As immigration numbers rose across Japan, culture clashes filtered down to places like private apartment complexes. But instead of national-level integration programs stepping in, the gaps were being bridged by three human staff members—and one laptop. No official entity had tasked the AI with this responsibility. Nevertheless, it took it upon itself.

In the mornings, the older Japanese woman still voices her complaints. The manager never writes a single notice. Yet every week, residents continue to receive messages in nine languages—unsigned but always prompt and precise. From the outside, the building looks unchanged. But inside, a discreet AI works tirelessly to translate not just rules but also grievances, habits, and expectations into clear guidance that resonates.

The television crew had come to document a familiar story: a nation struggling to communicate its norms to an influx of newcomers. What they uncovered instead was something quietly remarkable—a machine solving a deeply human problem. It understood what rules alone often fail to capture: people don’t just need commands. They need explanations—delivered in their language, with context and empathy.

Soon, another family will move into the building. There won’t be a lengthy rulebook waiting for them or an orientation session to endure. By week’s end, though, a note will probably find its way under their door—a message in their mother tongue offering a simple roadmap for settling smoothly into their new home and community.

[Vel0x @vel0xAI]

1/
I tested a $599 Mac Mini against a $4,699 DGX Spark for the trading AI workflow I actually use every morning, and I expected the Spark to win easily. On paper, it has every reason to dominate, because it was built for serious local AI work, while the Mac Mini looks like a cheap quiet box that should not even be in the same conversation.
Mac Mini: $599.
DGX Spark: $4,699.

Mac Mini: 16–32GB memory.
DGX Spark: 128GB unified memory.
Mac Mini: runs up to ~20B models.
DGX Spark: runs 70B+ models and can link higher.

Mac Mini: silent, 10–20W.
DGX Spark: fans under load, around 240W.

[Valentun Ryzhyk @ryzhyk_v]

@vel0xAI Good

[Vel0x @vel0xAI]

A 16-year-old student pays $40,000 annually to attend an AI-focused school in Austin, but here’s the twist—he's earning that amount *every single month*. How? By marketing a more affordable version of the same school’s key offering to families who can’t even dream of affording the original.

In a snapshot of his daily life, he’s lounging in the student area, headphones on, laptop balanced on his knees, with nine unopened Mac mini boxes scattered near his sneakers. The space looks less like a classroom and more like a scrappy startup’s office—fitting, considering the school actually distributed those Macs to students.

The school’s concept is straightforward: students dedicate two hours a day to academic work with an AI tutor and spend the remaining six hours on "entrepreneurship." Most treat those six hours as a mix of creative exploration and casual experimentation. But this student took them seriously—more like business R&D.

Rather than crafting just another school project, he spent his time replicating what he saw as the school’s crown jewel: the AI tutor. He then repackaged it for homeschool parents hungry for the same benefits the school touts—minus the $40,000-a-year price tag.

If you pause a video of his workspace at precisely 0:05, you'll see the nine Mac minis. Let’s be real: no teenager needs nine Mac minis for homework. This isn’t schoolwork—it’s the infancy of a meticulously planned server room.

His version of the AI tutor operates locally using those Macs, eliminating hefty per-student AI infrastructure costs. Families pay just $21 per month for access, and as of now, nearly 1,900 households are subscribed.

That translates to around $39,900 in revenue each month—against $70 in operational costs. In other words, he makes more experimenting with a redesigned slice of his education than his own parents shell out for his prestigious schooling.

At one point, his "guide" (the school avoids the term "teacher") noticed him working during entrepreneurship class and asked what he was up to. Pulling up his live dashboard, he showed her the numbers rolling in. She asked if what he was doing was allowed. His response? "Who’s going to stop me?"

And there it is—summed up in a single exchange.

The school charges $40,000 a year for their model. He charges $21 monthly for the essentially same thing. It’s not about the product—it’s all about the price point.

[Vel0x @vel0xAI]

https://t.co/26RhZiElib

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[Valentun Ryzhyk @ryzhyk_v]

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[Valentun Ryzhyk @ryzhyk_v]

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[Valentun Ryzhyk @ryzhyk_v]

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[Valentun Ryzhyk @ryzhyk_v]

Created his GG meme

https://t.co/ujfF13Ie5B

[Valentun Ryzhyk @ryzhyk_v]

@blumcrypto created his GG meme

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[Valentun Ryzhyk @ryzhyk_v]

gm ☀️

say it back if you think this man deserves to be free

#FREEDUROV

[Valentun Ryzhyk @ryzhyk_v]

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[Valentun Ryzhyk @ryzhyk_v]

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[Kori @koritual]

Found an old video when I was still at binance, interesting for anyone looking for career advices to work in crypto: