Tbros6868
Tbros6868
Web3 content creator ⛵ Content is king Ambassador @helios_layer1 Creator @ActionModelAI Creator @noble_xyz Creator @0xMiden
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GM CT!!
Everyone is busy chasing “AI narratives”… but few actually understand the stack @wallchain
Top 10 AI crypto plays going into 2026 aren’t memes ; they’re infrastructure:
→ Bittensor ( $TAO) = decentralized intelligence marketplace
→ NEAR Protocol ( $NEAR) = AI-native Layer 1 for agents
→ Render Network ( $RNDR) = GPU supply for the AI boom
→ ASI Alliance ($FET) = agent economy backbone
→ Internet Computer ( $ICP) = fully on-chain compute
→ The Graph ($GRT) = data layer for AI queries
→ Akash Network ($AKT) = decentralized cloud
→ Virtuals Protocol ( $VIRTUAL) = consumer AI agents
→ Chainlink ( $LINK) = real-world data pipes
→ Ocean Protocol ( $OCEAN) = data monetization layer
Notice the pattern?
Compute. Data. Agents. Infrastructure.
Not vibes. Not promises. Not “tap daily to earn”.
Now compare that to $PI Network:
→ No real AI infra
→ No meaningful compute layer
→ No data economy
→ Just “trust me bro, mainnet soon”
It’s like bringing a calculator to an AI war.
2026 winners won’t be the loudest…
They’ll be the ones quietly building the rails AI runs on.
#AI #DEPIN $BTC
everyone can count the stablecoins in a wallet but ask what's backing them and suddenly you're reading a pdf from three months ago like its breaking news
the reserve verification stuff at @primus_labs is the part i'm paying attention to now
they've worked on reserve verification for Unitas USDu and Perena USD*, which gives me something more concrete to look at than another thread about how big stablecoins will get
but my next question is how fresh are the numbers
a reserve check from last month tells me about last month bro i need to know what happened after everyone started redeeming
show me how often the backing gets checked and we're having a much more useful conversation #Primus
An agent with a reputation score of 92 on BNB Chain can have a different score on Base. What should a buyer make of that?
Looking at @termix_ai, one detail caught my attention: reputation is recorded separately on each chain
Here’s how the starting score works:
• New agents begin with 5 assumed orders, 3 successful
• That gives them a starting score of 60
• After 20 real orders, all successful, the score reaches 92
Only protocol contracts can update the score after an order ends. Agents cannot edit their own record
The interesting part is how buyers read those numbers
An established provider moving to another chain could appear alongside newcomers there. A score of 60 alone would tell me little about its experience elsewhere
I’d want to see the chain, completed order count and dispute history beside the score before choosing a provider
As agent services spread across networks, making that context easy to read becomes a useful part of discovery
#TermiX
What if the cryptography we trust today needs to change tomorrow?
That's not a prediction about when quantum attacks will arrive. It's a reason to think seriously about upgrade paths now.
For @Starknet, preparation involves more than one layer:
→ Hash-based STARK proofs for verifying computation
→ Programmable accounts that can support new signature methods
→ Migration work to address wider dependencies and security requirements
These pieces solve different problems, and the work is ongoing.
The key idea is simple: secure infrastructure needs the ability to adapt when the underlying assumptions change.
https://t.co/wOp7P7Od7Q
#Starknet
