Introducing https://t.co/Q8SynrtFmJ
Your AI employee.
Colabro opens apps, creates files, researches topics, and actually gets work done.
You type the task.
It delivers the result.
This is what AI should feel like.
Try for FREE.....
Anthropic valuation: $965B
Walmart valuation: $940B
Anthropic revenue: $20B
Walmart revenue: $725B
A company generating 36x less revenue is worth more than the world's largest retailer.
But Al is a bubble, right?..
The life of Gen Z:
> College degree is worthless
> Rent is half your paycheck
> Al is replacing your job
> Houses cost 20x your salary
> WW3 started and you might get drafted
> Boomers asking why you are stressed
As one of my billionaire friends once said:
"You'll lose a lot of friends when you get serious about your goals."
Unfortunately, I can't remember which billionaire friend said it. 🤔
This is impressive, but I feel like the framing is going a bit far.
A controlled loop getting faster doesn’t automatically mean the system is "self-improving" in an open ended way.
Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor.
It’s happening faster than we thought, and the implications deserve greater attention. https://t.co/OVVPJO7VQx
JUST IN: Scientists say AI has decoded communication patterns in mice, dolphins, apes, birds, whales, & cuttlefish — could eventually lead to humans communicating directly with animals.
AI was miscounting inventory at Starbucks
Microsoft blocked Claude Code for its own engineers
Uber still can't find the ROI after spending billions on AI
3 AI defeats this week in the labor sector.
WE ARE SO BACK.
Opus 4.8 isn’t just a model upgrade.
It’s a workflow upgrade.
Better reasoning. Better coding Better self correction.
This is what AI employees actually look like in production.
Anthropic keeps breaking its own ceiling.
This paper helped add over $10 trillion to global market capitalization
2017: Google publishes ""Attention Is All You Need""
No one called it "revolutionary" at first. Just another research paper.
But it quietly killed RNNs and LSTMs, and replaced them with something better: Transformers + self-attention.
Instead of reading words one by one, models could now look at everything at once and understand context properly.
That one idea scaled into everything we use today:
GPT, BERT, LLaMA, Claude, Gemini…
Modern AI basically started here........