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Robotics is the next 10x trade.
Liquidity is pouring into the robotics ecosystem, and I think we're about to see a massive shift from software to physical AI.
Here's how I'm constructing my portfolio for long-term gains in this sector (nfa):
I'm thinking in terms of "layers."
Layer 1: ETFs (lowest risk)
Start here if you don't want to pick winners.
Popular options:
→ $BOTZ: 68 companies across industrial robotics, automation, and AVs. Up ~30% over the past year.
→ $ROBO: 91 companies, most diversified pure-play robotics index on the market
→ $ARKQ: Cathie Wood's autonomy bet, heavy Tesla expos

Grok 4.5 is the best-value LLM on the market.
You pretty much get Opus 4.7 intelligence at ~2-3x speed, 1/3 the cost, and superior token efficiency.
I wasn't expecting ground-breaking Fable intelligence with this release, and tbh, Grok doesn't need it to achieve great product-market fit.
This is insane value, and I'm personally valuing token efficiency much more these days.
(of course I'm still opting to use Fable, GPT-5.6, etc, but these cost-efficient models are becoming an increasingly important part of my daily stack)

If you still don't understand loop engineering, you'll want to save this.
It's the most powerful way to prompt Fable 5.
How to get started with loop engineering (as a non-technical beginner):
First, you need some context about what loop engineering actually is.
For the last two years, using an AI agent looked like this:
You write a prompt → you read the response → you write the next prompt → you read that response → repeat.
Essentially, you're the one holding the wheel the whole time.
Loop engineering flips that completely - Instead of prompting the agent by hand at every step, you design a sy

I think robotics is the next 10x asymmetric trade.
VC investment in the sector is still 1/14th of AI, and it's about to catch up fast.
Here's why I think this sector liquidity isn't slowing down anytime soon.
(and how you can capitalise as an investor):
The bear case on robotics for years has been the same two things:
1. AI simply hasn't been good enough
2. Hardware was too expensive to manufacture at scale
Both of those constraints are breaking right now.
On capability: Robotics general capabilities are rapidly improving.
We are currently at the "GPT-2" moment for robotics (capable, but lacki

Fable 5 is here, and honestly, I can’t believe how much better it is than Opus 4.8.
I put both models head to head, and the outputs results were shocking.
Everything you need to know about Opus 4.8 vs. Fable 5:
Watch now 👉

No matter how many times I read this, it still blows my mind.
Fable has been a HUGE leap forward for AI progression.
For 6 years, AI was doubling task length every ~7 months.
With Mythos (Fable)-class models, it's now doubling every ~4 months!
GPT-2 (2019): ~3 seconds
GPT-4 (2023): ~4 minutes
Claude Sonnet 3.7 (early 2025): ~50 minutes
Claude Opus 4.5 (Dec 2025): ~5 hours
Claude Opus 4.6 (Feb 2026): ~14.5 hours
And Fable 5 (Jun 2026): ~30 hours
I can't even fathom where we'll be in 12 months' time...