you don't need to manually trade perpetuals across multiple exchanges to participate in atoma's strategy.
the onboarding process is relatively straightforward.
here's how someone new can get started.
first, visit the atoma application and connect your wallet on arbitrum.
next, look through the two available vaults.
โ rwa if you're more interested in the trading-return-focused strategy.
โ index if your priority is broader points opportunities.
once you've decided which strategy fits your preference, deposit usdc.
the minimum deposit is approximately 100 usdc.
after depositing, you receive vault shares representing your position in the vault.
from there, atoma manages the trading strategy.
you can follow the vault's performance through its nav and monitor the points associated with your participation through the application.
there's also a public stats page where you can examine trading performance and other protocol metrics.
one thing to remember before depositing:
withdrawals are processed after the vault's epoch ends.
there's also a 0.5% withdrawal fee, and shares stop earning atoma points once a withdrawal is requested.
so don't deposit money you'll need to access immediately.
for anyone interested in becoming a liquidity provider, i'd recommend reading the vault documentation first and understanding how the strategy works.
start here:
https://t.co/r4cCxJOB5T
documentation:
https://t.co/sVnNZEE912
@atoma_fi
What makes an AI decision trustworthy when different models can interpret the same information differently?
That's the question I find interesting about @GenLayer.
Its Intelligent Contracts can understand natural language and access information from the web. But instead of relying on a single AI model, GenLayer has validators independently run their own models and reach agreement on the outcome.
To me, this is an important distinction. An AI model producing an answer is one thing. A network having a process for reaching agreement on that answer is another.
That's also why the validator role matters beyond simply running a node.
Through Pre-Mainnet Staking, participants can build Staking Points by staking GEN. They also need a node running on Clarke for at least 30 days to qualify for a seat. At the mainnet snapshot, eligible seats are distributed proportionally to accumulated points.
Selected validators receive initial GEN backing from the Foundation, process network transactions, and earn GEN fees for their work.
I'm interested in how this model develops as more intelligent contracts handle real-world information and decisions. The quality of the network depends not only on what its AI models can do, but also on how its validators work together.
What would make you trust this kind of system more: independent AI models, diverse validators, or the way agreement is reached?
12 Bing Bong events sold out and somehow I haven't made it to a single one.
Phantom, Solana, Breakpoint London hoping one day I'm there in person instead of watching through clips.
for now, the building continues from home.
GM everyone, happy Thursday โ๏ธ
I was checking out Vangrid Hub from @vangrid_io this morning and noticed something pretty interesting
Vangrid doesn't describe PTC as a currency, but rather as points that recognize contributions to the network
Sounds pretty simple, right?
But I think there's actually something worth thinking about here
A network built around collecting real-world data faces a pretty tricky challenge
How do you know who's genuinely contributing, who's consistently active, and how those contributions should be recognized?
On Vangrid Hub, there's already a PTC leaderboard, contribution history, and badges like Captured Grid and Grid Operator
What interests me isn't really who's sitting at the top of the leaderboard =)))
It's the idea that if Vangrid wants to scale its real-world data collection network for Physical AI, having a system that tracks and recognizes contributions could become an important part of its infrastructure
Of course, having more points doesn't automatically mean someone is contributing better-quality data
A strong data network doesn't just need more participants, it also needs a way to evaluate what they're actually contributing
I'm pretty curious to see how Vangrid develops this system as the network grows
What do you guys think a data contribution system should prioritize, the number of captures, data quality, or how useful that data actually is? ๐