Everyone's selling an "AI + crypto" narrative.
$GNUS built the mechanism🔥 One network. Two ways to plug in. Both burn supply as they get used:
🌐 PUBLIC nodes - open & permissionless. Anyone, anywhere turns an idle device into AI compute and earns. A cut of every AI job is burned.
🏢 ENTERPRISE nodes - companies, hospitals & ISPs run GNUS as private AI infra. For every device subscription, $5 is used to buy on the open market and burn it 🔥
More real usage, less supply. From both sides.
While the hyperscalers chase the trillion-dollar top of the market, @GnusAi quietly takes the other 99% of AI infrastructure. Truly distributed, not just decentralized.
🧵Your phone sleeps 8 hours a night doing nothing.
What if every device you own could plug into a truly distributed AI swarm - every node talking directly to every other, no middlemen, no gatekeepers — and earns you money while it works?
That's base:0x614577036f0a024dbc1c88ba616b394dd65d105a: the cheapest AI compute on Earth, owned by everyone
@GnusAi
7/ The flywheel: more devices → more AI demand served → more revenue → more base:0x614577036f0a024dbc1c88ba616b394dd65d105a bought back → tighter supply.
Mainnet → Q3 2026 and this scales horizontally every new device adds capacity instantly, and every app that embeds GNUS grows the network too. Adoption compounds fast.
Infrastructure, not a meme. Early is early = base:0x614577036f0a024dbc1c88ba616b394dd65d105a
8/ The network is being built now, and every device makes it stronger.
Don't be late, the game-changer is already knocking on the door.
Track the road to mainnet: dev activity, updates and roadmap, all in one place - on the unofficial community dashboard:
👉 gnus-intel.vercel.app
Satya Nadella just said the quiet part loud - centralized cloud and AI can't scale forever.
GNUS has been building the alternative since 2016. Idle devices worldwide, sharing compute, no new data centers needed.
The narrative is catching up to what $GNUS already built 👀
Everyone wants AI. The compute to run it? Scarce and brutally expensive.
$GNUS is building the answer: a global mesh of idle devices - phones, laptops - running AI privately, at a fraction of cloud cost.
This isn't theory. Mainnet is effectively complete.
GNUS.AI is building a real global mesh of idle devices that includes mobile phones.
We run sovereign models on top of it using the Genius Cognitive System. This lets us deliver reliable, private, and much cheaper agentic AI.
Most other compute rental platforms are limited to desktop and server GPUs. We actually make it work across phones too.
This is interesting coming from the CEO of Coinbase 👇
He nails the part most miss: the limiting factor won’t be smarter models it’s energy and compute.
The project building for exactly that bottleneck is @GnusAi - turning idle compute in everyday devices into a decentralized AI network.
Models get cheap. Compute becomes the moat.
$GNUS
Good take
My guess is
- demand for intelligence is near infinite
- but 80% of workloads will be running on 99% cheaper models within 12-18 months
- 20% of workloads will still run on latest gen models where IQ maxing is important (scientific breakthroughs, higher level ochestrator agents?)
- rough analogy might be what % of macbooks or gaming PCs sold have the maxed out specs for CPU/GPU, prices are falling much faster than Moore's law here though
- this leads me to think the limiting factor will be energy and compute, not better models
At Coinbase we're working hard on routing prompts to cheaper models where appropriate, and in some cases have been able to keep costs roughly flat, while token usage continues to grow exponentially.
CryptoPazuk retweeted
You're crazy until you succeed—then you're a super genius.
@elonmusk has lived this exact arc for decades. People called reusable rockets and mass-market EVs impossible pipe dreams. They laughed, dismissed, or attacked the ideas as delusional.
Now those same people line up for Cybertrucks and Starlink and to invest in SpaceX.
The pattern repeats for any big, unconventional breakthrough: skepticism is the default reaction to anything that challenges the status quo. @GnusAi
The AI bottleneck isn't models, it's compute. Demand keeps climbing, GPU supply keeps shrinking.
GNUS takes the DePIN route: tap idle consumer GPUs that already exist rather than spinning up fresh capacity.
Mainnet soon, with real apps launching on top of it.
@GnusAi $GNUS infrastructure takes the deal 👀
Everyone's betting on the AI apps.
The real position is the layer underneath them - the one that turns idle compute everywhere into verifiable infrastructure.
Built quietly. For years. No hype cycles.
This is the part almost nobody else is building 👀
Every AI breakthrough depends on one thing:
Infrastructure.
While most focus on the applications, GNUS.ai is building the layer that powers them all.
A patent-backed network that transforms idle global compute into intelligent infrastructure designed to reduce costs, improve scalability, enhance privacy and support the next generation of AI innovation.
From enterprise AI and robotics to gaming, healthcare and cloud services, the future will demand more than compute.
It will demand efficient, verifiable and scalable infrastructure.
That's where GNUS.ai comes in.
The foundation beneath the future.
I like ambitious teams like @opal_dex 🔥
What I appreciate most is that they're not handing out tokens left and right to KOLs, that's rare these days.
Keep an eye on this project, it's worth it 👀
$OPAL
For the past two months, we were one of just 12 companies, selected from over 1,200 applicants, to join the @base accelerator program.
Last week, we had the opportunity to pitch in front of @brian_armstrong and leading VC's to kick off our seed round. A really cool experience!
CZ on June 1: "someone should build a dark pool perp DEX. could be worth billions."
@opal_dex did it
→ ex-Coinbase founder
→ ex-Robinhood lead dev
→ ex-Uber engineers
→ backed by Base
big announcements dropping soon.
still $7M mcap.
GeniusAI targets ~$0.50/hr H100 while AWS $11.06 - it's more than 90% cheaper.
No new data centres, no new power, no new cooling. Just idle consumer GPUs already plugged in.
Decentralized compute via $GNUS isn't Plan B. It's a better Plan A.
@GnusAi
