A lot of young guys think the opportunity is gone.
Houses are expensive.
College is expensive.
Wages feel stuck.
AI feels like it’s coming for every job.
But I think one of the biggest opportunities of the next decade is hiding in plain sight:
Learn a real-world skill.
Understand infrastructure.
Use AI tools.
Build leverage.
“Two months, zero inquiries. Is my website broken?”
Probably not the whole thing. Usually it's one of three spots:
1Google can't find the page
2Google can't tell what you do
3People find it, but there's no easy way to call or get a quote
Check them in that order. Free Google Search Console covers the first two. For the third, fill out your own contact form and see if it actually reaches you.
With Astra launching imminently , I’m imagining it’ll blow away bench mark testing but how will it actually perform in the real world ? Really curious to see this
If AI is going to become the layer people use to learn, build, research, and solve problems, then model access becomes a form of power. A few companies setting the boundaries for everyone else should make people uneasy
When you hear AI "safety" you should hear "censorship" and "control" instead.
All of us surveilled and spied by safeguards of loving grace.
Today it's intelligent Terms of Service control. You can't do AI research. Can't ask this question about your kid's biology homework.
Tomorrow it's refusal to help you with competing coding projects. A 100 page blacklist of questions.
Or this question means AI will search your computer stealthily and snitch on you to the cops because you posted an prohibited insult in a WhatsApp chat in the UK.
Open source must win out at both the model and the harness level.
That's because AI will become our interface to the world.
It will sit higher in the stack than the OS. It will collapse current SaaS layers, chat, communications, apps, app creation, into a single new kind of interface that doesn't exist yet.
It's got to be open. It's got to be a cypherpunk solution that makes privacy and security the number one priority.
If a closed source solution wins this layer, it's a disaster for the world. Especially if it's built by a single company with a single closed source model.
Why?
Because what we share with AI will be more intimate than anything we've ever shared with a machine. It will be our friend, our sounding board, our advisor. It will know our business ideas before we've told anyone. Our medical issues. Our financial picture. We'll talk about the fight we had with our partner. About feeling lost or depressed. Our kids will talk to it about problems at school, about bullying, about heartbreak, things they won't tell us.
It will know us more intimately than we know ourselves.
Right now the world runs on a surveillance economy. We traded free stuff for apps that peer deeply into our lives. If we replicate that model in the AI era, it's not just surveillance economy 2.0.
It's surveillance economy squared.
Social scoring. Automated evidence gathering. Legal conversations you thought were privileged showing up in court. Random people making $2 bucks an hour on the backend from God knows where reading the most intimate details of your life.
Every insecurity, every fear, every half-formed thought you whispered to your AI buddy at 2 AM, sitting in a database somewhere, searchable.
If we let closed source models dictate what we can and can't do it will only get worse and worse.
We've got to fight this future with every last breath.
If you can read this, you are the revolution.
@unusual_whales China is putting real money behind the physical layer of AI. The U.S. cannot answer that with endless permitting cycles, land-use fights, and approvals that take years before anyone can even start building
my feed is pretty much entirely discussions about loops. ive been using Codex for the last 2 months or so building an agentic construction manager and ive been using loops to avoid 1 by 1 prompting. My strategy is simple: I give it the repo context, the constraint that it should preserve behavior, the expected deliverable, the validation steps, and the stop condition. The quality difference comes from removing drift. The agent isn’t guessing what “done” means every message. It has a target, guardrails, and a way to check itself.
@KobeissiLetter This is one of those moments where the numbers are so large they almost stop feeling real. Three $1T+ IPOs on the horizon means AI is not just attracting capital anymore, it is reorganizing where a huge amount of global liquidity wants to sit.
@unusual_whales Going public gives OpenAI optionality, but it also starts the clock for everyone else sitting on huge private AI valuations. At some point all that private market value has to find actual public market buyers.
@APompliano coming? the melt up has already been happening for months. The move has been almost parabolic in parts of the market, especially anywhere tied to AI, compute, chips. Maybe it keeps going, but id take some profit
what we are seeing is the market repricing real productive capacity against a currency that keeps losing purchasing power. If AI becomes the next economic foundation, may not be about stocks going up in dollar terms. It may be the slow decoupling between real technological output and the currency people are using to measure it.
The better pattern is starting to feel like Codex or Claude as the project manager, not the whole team. It holds the product brief, design rules, architecture boundaries, testing standards, and “do not break this” list, then sends subagents into narrow jobs with those rules already loaded. That feels much closer to how real work gets managed than manually prompting one agent over and over.
What choice does the average person really have? The market can look strong when a handful of companies are holding everything up, but that does not change what people feel at the grocery store, insurance renewal, rent payment, or credit card bill. If most Americans are cutting back, the headline economy is not matching the economy people are actually living in.
The edge is still there, but it is not automatic anymore. A degree helps most when the person behind it is keeping up with the tools, learning how work is changing, and staying close enough to the technology to actually use it. The grads who treat college as the finish line are going to have a much harder time than the ones who keep building after it.
@unusual_whales The dips will feel scary because the valuations are stretched, but the demand for compute, power, chips, networking, and grid upgrades is not short term play. AI infrastructure is where we buy the dips