Satoshi gave us 9 pages. Here’s my page 10.
I found my way into Web3 in 2022, right in the middle of the Solana Summer. Okay Bears, Great Goats…
Somewhere along the way, I decided to build something of my own. That became Azkaban (yes, I’m a Potterhead 🧙♀️).
I never expected the community to grow the way it did. With an amazing team and the support of its members, we’re still building four years later @Azkaban_Dao .
That’s what the whitepaper never said.
Satoshi didn’t map out every use case. He gave us a foundation, and builders keep writing the rest.
Ordinals brought art to Bitcoin. BRC-20 and Runes brought tokens, while Stacks added smart contracts.
None of that was mapped out in those original 9 pages.
And that’s the point. The story didn’t end with the whitepaper. We’re still writing it.
Just keep building, That’s what satoshi would have wanted 🤓.
This is my page 10 for @MEXC Bitcoin Whitepaper Day.
What’s yours?
The whitepaper ended on Page 9. The next line is yours.
If you could add ONE line to the Bitcoin whitepaper, what would it say? Share a lesson, belief, or hope shaped by your Web3 journey.
🎁 Reply with your line + MEXC UID. 20 participants will share 2,009 USDT.
Let's write Page 10, together. #BitcoinWhitepaperDay #MEXC
We’re delighted to announce our collaboration with @robtown_rh
Free to play, free mint, loot and earn your WL. Robtown making web3 gaming on robinhood inevitable.
More info and raffle on our Discord
Quick raffle!
20 GTD WL spot for Frank Ashford by @B33ofweb3
Follow: @B33ofweb3 @Azkaban_Dao
RT + DROP YOUR EVM
1HR
opensea.io/collection/frank-…
Glad to announce our collaboration with @LostOttersRH
3,333 hand-drawn Lost Otters coming to @RobinhoodApp
Raffle and mint details up in our Discord.
@azkaban_dao × AuraSea
5 AuraList spots for our community.
Requirements:
Follow @auraseaonly
Like and repost this tweet:
xitter.gq/auraseaonly/status/210…
Dear Collab Managers Phase 1 is live.
200 AuraList spots available.
Limited-time collab offer FCFS.
Secure a spot for your community before the allocation fills.
aurasea.site/collab
Check the requirements and apply for your community collab.
RT & Tag your community
AZKABAN retweeted
We’re delighted to announce our collaboration with @Glrtch
Our inmates have been granted with whitelist to their upcoming mint!!
We’re delighted to announce our collaboration with @Glrtch
Our inmates have been granted with whitelist to their upcoming mint!!
Web3 gaming is inevitable and Spy Inc. just cooked with this Gamefi economies
@SpyIncGame is built different. It's the first true GameFi project on @RobinhoodApp , what you earn depends on what you actually play each turn.
Mint is Friday, 6pm GMT +1 on OpenSea:
opensea.io/collection/spy-in…
Kinda curious to see how this one plays out.
I’ve got 10 GTD spots for you guys.
@sporefolks
A 3,333 collection powered by $SEED, where holders apparently gotta use Seeds to mint and upgrade their Specimens.
Mint goes live on our beloved Robinhood:
⟣ mint is tomorrow, 3 PM UTC
⟣ Mp starts at 6,666 $SEED
⟣ Mechanism: Uniswap V4
To enter:
> Follow @sporefolks
> Rtw this post & Drop your EVM wallet below
⏳ 7HRs
Plant a Seed. Pick your Specimen.
Then see how far it grows.
Spore Folks waitlist is open 🌱
- sporefolks.fun/waitlist
We're pleased to announce our collaboration with @nftquants
More details on our Discord
AZKABAN retweeted
We are glad to announce our collaboration @TheMerchantt_
6969 Merchants on Robinhood chain.
More info and raffle on our Discord.
We are glad to announce our collaboration @TheMerchantt_
6969 Merchants on Robinhood chain.
More info and raffle on our Discord.
I’m starting to think robotics is about to change what the AI race even means.
For the last few years i think it’s been pretty easy to follow.
⟣ Who has the smartest model?
⟣ Who reasons & codes better?
⟣ Who wins the benchmarks this week.
But robotics is slowly making that race a lot messier.
Because now, the models have to actually understand the world and do shit inside it.
Plus the market is starting to accelerate fast.
⟣ XPeng’s robotics arm just raised $900M+ at a $6.3B+ valuation.
⟣ Skild raised $1.4B, & Generalist raised another $200M barely two months after a $400M round.
So yeah, there’s a stupid amount of money moving into physical AI rn.
But the money is honestly the less interesting part to me. I mostly care more about what everyone is trying to build with it.
Because I think the race is slowly moving beyond who can build the best robot body.
Into who can build the intelligence inside it
And we’re already getting hints of what that stack might look like.
Gemini Robotics is one example:
They’ve been using higher level reasoning alongside lower level control models.
And companies like Figure’s Helix splits slower reasoning from the much faster system actually controlling the robot.
Even companies like Anthropic have been experimenting with how useful Claude becomes when it can give instructions to a pretrained robotic policy.
And this makes way more sense to me than stuffing the biggest frontier model possible inside every humanoid and asking it to control every finger 50 times a second lol.
But I also think frontier models eventually sit higher up the stack.
Maybe they become the teacher.
They try to understand the environment, solve the harder problems, generate data, and transfer some of that intelligence into smaller embodied models that can actually run locally without murdering latency or battery life.
And If that’s the direction we’re slowly moving on to, then the AI race could get a lot more interesting.
Because then we start to question:
> Who owns the body?
> Who owns the brain?
> And who owns the model the brain’s been built on?
The robots themselves also eventually become data generators.
Meaning every object they pick up, or a failed attempt they encounter can potentially become training data for the next generation of embodied models.
And that creates a pretty insane loop.
frontier model teaches robot,
>> robot goes into the world
>> robot generates physical data
>> that data trains better models
>> better models get deployed into more robots.
And repeat.
I believe we’ve spent the last few years watching labs fight over internet scale text, code, images & video.
Maybe, and just maybe Physical AI could create an entirely new internet scale dataset..
imo that might end up being one of the biggest moats in robotics.
PS: China is insanely good at this robotics thing atm.
I just watched a video of a robot beating usain bolt’s PR.
There’s a stupid amount of stealth model activity happening rn.
⟣ Anthropic has Marshmallow/Melon codenames floating around.
⟣ Moonshot looks like it has Kimi K3.1 somewhere in the pipeline under the tag adamant-ananke.
⟣ Ox Alpha is still anonymous but fingerprints point towards GLM.
⟣ Then there’s Korrine, Paloma and a few others people are currently trying to pin on Qwen, Kimi or whoever else.
i wouldn’t confidently label half of these yet.
But What I’m more interested in is how hard it’s becoming to even tell who made what.
Two years ago, something near the frontier usually came from a very small list of labs.
Now an anonymous model can show up and the debate is whether it’s Qwen, GLM, Kimi, or something new.
We’ve also spent way too much time obsessing over the word “frontier.”
Think about Ox Alpha for a second.
A completely anonymous model appears, starts doing genuinely impressive work, and people have to start comparing behaviour just to work out whether it came from a Chinese lab.
The best closed models are still ahead.
But if Qwen, Kimi, GLM and the rest keep getting close enough, cheaper, and sometimes open, then being #1 starts looking less defensible.
They don’t necessarily have to beat OpenAI or Anthropic either.
They just need to become good enough that paying a massive premium for the last bit of capability becomes harder to justify.
We’re already seeing price performance become a bigger part of the competition:
OpenAI cut GPT-5.6 Sol API pricing by more than 20%.
Maybe competition.
Maybe that’s efficiency.
Or it’s probably some mix of both.
Either way, intelligence getting better while the price of accessing it keeps falling creates a weird problem for whoever is sitting at #1.
Because once capability gets close enough, a lot of us might start caring about other things.
➥ Like what is cheaper.
➥ What developers can actually build around.
➥ What works reliably inside agents.
➥ Who owns distribution.
I remember a couple years back GPT-4 level intelligence felt like a banger.
But with all the improvements we see how it makes me question what I even think “frontier” means.
Overall, being first still matters.
But if everybody else can arrive a few months later, maybe the more interesting question is how much money and distribution you can extract from that being #1 before it disappears.
We are glad to announce our collaboration with @TenureVault
3,333 engraved banknotes on Robinhood Chain
More info and raffles on our Discord
We're pleased to announce our collaboration with @TrustUsNFT
More details on our Discord
We are glad to announce our collaboration with @Meewnft
3333 Meew | Free mint coming soon on
@RobinhoodApp
Raffles and more info on our Discord
We're pleased to announce our collaboration with @KidStoryHood
More details on our Discord
We're pleased to announce our collaboration with @0xNTRPY
More details on our Discord
We're pleased to announce our collaboration with @0xInheritance
More details on our Discord

























