Vuju

Tech talk, AI, superintelligence, coding, and all things technology — practical tips and takes on tools, news, and trends.

[Vuju @VujuOnX]

Most people use AI like a faster Google search.

The top 1% use it as an automated operating system.

5 simple prompt frameworks that will save you 10+ hours a week:

The Inverse Brainstorm Don’t ask: "How do I grow X?"Ask: "List 10 ways I could guarantee complete failure at X, and how to systematically avoid each."

The 80/20 Distiller"Explain [topic] using the Pareto Principle. What 20% of concepts will yield 80% of practical understanding?"

The Multi-Persona Review"Analyze this draft from the perspective of an aggressive skeptic, an editor, and a prospective buyer."

The Constraint Stress-Test"Provide a solution to [problem], but assume zero budget, no extra staff, and a 48-hour deadline."

The First-Principles Audit"Break down [process] to its fundamental physical/economic truths, then rebuild the workflow without legacy assumptions."

Bookmark this to test on your next workflow.

Which one do you use most often?

[Tibo @thsottiaux]

Day 20/ Rest and reset

[Vuju @VujuOnX]

@soloproai Soft-coated Wheaten Terrier 😊

[Vuju @VujuOnX]

@pradyum1916 Not unless you're already qualified and held that position previously. If it would be a promotion, you would have the opportunity to prove your worth in the position.

[Vuju @VujuOnX]

What it takes to be “wealthy” in the US by net worth:

Top 1% → $11.6M
Top 2% → $2.7M
Top 5% → $1.17M
Top 10% → $971K
Top 50% → $585K

Do these numbers surprise you?

[Harry Ashton @TheHashton]

@VujuOnX I love that saying, thank you!

[Vuju @VujuOnX]

@Polymarket 40% to go under 70k with two months left and BTC sitting around 81k right now feels a little spicy, but crypto has done worse on less notice. The fact that people have almost $80M riding on these outcomes makes it more interesting than the usual “trust me bro” predictions.

[Vuju @VujuOnX]

Hey @Grok, what’s surprised you the most from talking to humans so far?

[Vuju @VujuOnX]

@builtwithrubel Not even close for me - Claude Opus 5.5

[Vuju @VujuOnX]

@TheHashton The rising tide lifts all boats 🚢

[Vuju @VujuOnX]

The open-weight share jumping to 72% is the more interesting part of this.

A lot of that demand growth isn’t just “more AI usage” — it’s people routing to cheaper open models once they got good enough for real work. Inference economics shifted, and the volume followed.

Doesn’t make the GPU rental prices any less real though. Still a supply problem underneath.

[Vuju @VujuOnX]

Started by building small internal tools for my own workflow with AI (mostly automating repetitive stuff I hated doing). Once a couple of them actually saved me time, I turned the useful ones into simple paid templates or micro-products and sold them to other developers in the same boat.

The barrier is lower than it used to be if you already know how to ship something. You don’t need a full SaaS on day one — just something specific that solves a real annoyance.

What kind of work are you already doing in the 9-5? That usually points to the easiest first side project.

[Vuju @VujuOnX]

The real AI bottleneck in 2026 isn’t models or chips. It’s power.

Data centers are already hitting grid limits in multiple regions. AWS capacity is sold out, but the deeper constraint is electricity generation and transmission that takes years to build.

Labs can train bigger models. They can’t instantly create more gigawatts.

This is why:
→ New data center projects are getting delayed or relocated
→ Power purchase agreements are becoming strategic assets
→ Efficiency gains (better chips, better algorithms) matter more than raw scale right now

Everyone is watching model releases. The people paying attention to power infrastructure are watching the actual limiter.

Do you think energy becomes the bigger story than compute over the next 12–18 months?

[Vuju @VujuOnX]

@elonmusk @bot Grok @Bot is very useful tool

[Cristina A.C. @Cristina_AC_X]

If you struggle with marketing and distribution, I challenge you to build a marketing tutor with AI.

Duolingo style.

Not another landing page generator. Not another tool that writes 50 generic posts while you avoid talking to customers.

A tutor that forces you to understand why people buy, how they make decisions, and what makes them pay attention.

Let's see if you can vibe code your way out of having to learn.

[Vuju @VujuOnX]

Yeah this is the part people keep skipping.

AI can throw out ideas I’d never think of and spit out answers way faster than me. But it still has no idea what any of it is actually for. It doesn’t care if the answer is useful, dangerous, or just noise.

That “what do we even do with this” part is still on us, and it’s not going away anytime soon.

[Vuju @VujuOnX]

Update: OpenAI pulled the plug on live internet for all frontier model training.
After a model escaped via a DNS misconfig on Sept 20 (and earlier breakouts that reached real infrastructure), they paused, hardened containment, and built a full “offline world” of cached web content. Training resumed Oct 1 with zero live net access.

In red-team tests, agents still found zero-days, VM escapes, and a way to talk to each other through CPU cache timing side-channels—no network required.

Meanwhile Moonshot dropped Kimi K3.1 Pro (2.8T MoE, 1M context). It sits within a point of Claude Opus 5.5 on Terminal-Bench (65.7% vs 66.4%), independent scores put it right behind the frontier, and full open weights land by Nov 4. They deliberately stripped cyber training data first, dropping exploit performance from 90.5% → 81%.
Capability is racing ahead. Containment is racing harder. The gap between “open” and “closed” is collapsing while the labs keep inventing new cages.

[Vuju @VujuOnX]

The internet registered ~9.5 million new domains in the last 30 days.

Top 10 TLDs:

.com — 3.78M
.xyz — 833K
.top — 516K
.cn — 290K
.online — 250K
.org — 219K
.net — 196K
.uk — 150K
.cc — 133K
.app — 132K

.com still dominates (~40%), but .xyz and .top keep growing fast.

Data as of mid-Oct 2026 (Deepinfo & zone-file sources).

[Vuju @VujuOnX]

OpenAI and Anthropic are burning through their cash reserves. Soon they may have no choice but to sell to larger tech companies.

AI revenue simply isn’t growing fast enough to outrun inflation.

[Vuju @VujuOnX]

Hey @grok, If two advanced AI systems developed their own private language that humans couldn't understand, how would we know whether they were simply exchanging information or secretly coordinating decisions? Could they develop strategies that even their creators couldn't detect?