@namcios Third doc in last 10 days and all of them are way above 100 lines.
Imho mental capacity of devs in future will shrink completely.
Coding and architecturing in general have been a kind of "mental gym" for me, and I still work that way.
But hey - it's just me! :)
something i've noticed: AI agents create a weird new kind of burnout. esp for young people.
a lot of ambitious 22 year olds are going to think the answer is simple:
- spin up more agents
- ship more code
- sleep less
- outwork everyone
and for a while, it will feel incredible.
you can keep multiple agents running, feed them tasks, review outputs, fix mistakes, make decisions, and keep the whole loop moving.
the problem is that the work no longer drains you through typing. it drains you through judgment.
More attention.
More context switching.
More verification.
More decisions per hour.
so instead of 8-10 normal productive hours, you might get 4-5 extremely intense hours before your brain is fully cooked. and you feel numb until you sleep properly and reset
some of my friends are already burnt out. they don't say it out loud but i can tell.
the agent can keep working 24/7.
the human still has a hard limit
Eric Schmidt says the 10x advantage is no longer execution. It is defining what counts as success.
A programmer writes a spec and an evaluation function, runs it at 7pm, and wakes up to what was invented overnight.
The advantage now belongs to whoever can specify the problem precisely.
The rest will be automated.
We just released Claude Code channels, which allows you to control your Claude Code session through select MCPs, starting with Telegram and Discord.
Use this to message Claude Code directly from your phone.
Went to the grocery store this morning
Bread, milk, eggs
$47.63
The screen asked if I'd like to round up to support a children's hospital
I pressed no
The cashier looked at me
The woman behind me looked at me
My wife looked at the ceiling
Again
This company made $14 billion last year
They can round up
Went to get gas after
The pump asked if I'd like to add $1 to support veterans
I support veterans
I pressed no
A $200 billion oil company asking me to fund their charity while I'm paying $3.89 a gallon
That's not philanthropy
That's outsourcing
Drove through for lunch
Taco Bell
The screen said "round up for education?"
A fast food company asking me to fund scholarships while paying their employees $11 an hour
I pressed no
My wife said "you know you're arguing with screens today"
She was right
But the screens started it
Went to the pharmacy
Picked up a prescription
$340 after insurance
The screen asked if I'd like to donate $1 to help families in need
I just paid $340 for a medication that costs $4 to manufacture
And now you want a dollar
I pressed no
The pharmacist said "it's just a dollar"
I said "it's never just a dollar"
She didn't respond
Got home
My wife said "you said no to a children's hospital, veterans, education, and families in need today"
I said "no. I said no to four corporations who want me to fund their goodwill so they can put it in their annual report"
She was quiet
Then she said "you're not wrong"
I said "I know"
She said "but you're still going to look like a monster"
I said "I'd rather look like a monster than quietly fund a billion-dollar company's PR strategy at the register"
She didn't disagree
But she didn't look at me either
Plz fix. Thx.
Sent from my iPhone
This is wild.
143 million people thought they were catching Pokémon. They were actually building one of the largest real-world visual datasets in AI history.
Niantic just disclosed that photos and AR scans collected through Pokémon Go have produced a dataset of over 30 billion real-world images. The company is now using that data to power visual navigation AI for delivery robots.
Players didn't just walk around with their phones. They scanned landmarks, storefronts, parks, and sidewalks from every angle, at every time of day, in lighting and weather conditions that staged photography would never capture. They documented the physical world at a scale no mapping company with a fleet of vehicles could have replicated on the same timeline or budget.
Niantic collected this systematically, data point by data point, across eight years, while users thought the only thing at stake was catching a rare Charizard.
The most valuable AI training datasets in the world aren't being assembled in data centers. They're being built by people who have no idea they're building them.
> The guy who created Uber and left 300,000 taxi drivers broke is back. Building robots now because apparently ruining one industry wasn't enough.
😭😭😭🤣
🚨 Do you understand what happened in the last 12 hours?
> A CEO of a $200 billion company said on camera that 35% of new grads won't find jobs. He didn't even flinch saying it.
> Meta made $165 billion last year and is still firing 15,000 people because apparently record profit isn't profitable enough.
> Some random guy in Florida sold his entire house in 5 days using ChatGPT. No real estate agent, no commission, no experience. Just vibes and a $20 subscription.
> A man in Australia cured his dying dog's cancer with AI after every single vet told him there was nothing left to do. Built a custom vaccine from his couch.
> The guy who created Uber and left 300,000 taxi drivers broke is back. Building robots now because apparently ruining one industry wasn't enough.
> Tinder wants access to your camera roll. Your drunk photos, your 3am notes app meltdowns, your deleted selfies. They're calling it a "vibe check."
> Naval, the man who made hundreds of millions investing in software, just said software is dead. Four words and the entire industry felt it.
> And Anthropic removed the limit on how long their AI can think and then doubled everyone's usage for free. Because when the product is addictive enough you give the first taste away.
All of that happened today. Not this week, not this quarter. Today. A random Saturday in March.
This is worse than you being on meth.
Let me explain what just happened, because I don’t think people realize how INSANE this is.
> Cortical Labs put 200,000 real human brain cells onto a silicon chip and trained them to play Doom in just one week.
> Each CL1 system costs $35,000.
> A rack of 30 units consumes only 850–1,000 watts combined.
> The human brain operates on 20 watts.
> Large AI training clusters burn through megawatts.
>Backed by In-Q-Tel.
115 units began shipping in 2025.
> Cortical Labs is selling “Wetware as a Service” through Cortical Cloud, letting developers deploy code remotely to living human neurons with no lab required,
> priced like a software subscription but powered by real brain cells grown from adult skin and blood samples.
> it isn’t about gaming, it’s about biological computing that could eventually outperform traditional silicon in energy efficiency and adaptability.
This is getting really scary and we’re still at the very beginning.
@edwardmorra_btc I was in the same position. I started other projects, trying to make some money in other areas, I completely changed my focus.
You need something besides crypto, that's all I know. Take care - I'm a big fan by the way, here from 2017!
Guys I went to my GitHub and just saw those nice green boxes 👀
Imagine what will happen in couple of months! Well a year will be epic as well!
Let's connect and build 🫡
See you in the future!