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
getting paid for a scan is one thing
getting paid almost instantly is the detail i keep thinking about
@vangrid_io says agent requested captures can settle in USDC on Arc in under a second. That changes the feel of the task. A person handles something an AI cannot do from behind a screen, submits the result, and payment does not sit in limbo for days
small piece of infrastructure, but if agents are going to hire people in the real world, the payment loop has to work too
curious how this looks once there are more requests than early demos
Most launchpads make you buy first and hope you picked right.
@RebateLaunch takes a different approach on Robinhood Chain:
• 3% bonus tokens on every Rebate buy
• Hold Rebate and receive USDG payouts several times a day
• No staking contract. No claim button.
• Platform fees from launched tokens buy and burn Rebate
The interesting part? Rewards are funded by activity, with a fixed supply and no new tokens minted.
Also, @Starlisting is partnering with @RebateLaunch to let creators post and earn.
Would you rather get bonus tokens on entry or rewards for holding?
One underrated question in blockchain security:
Who decides how quickly the network can adapt?
Cryptography that works today may need to evolve as computing advances. But changing core security isn't always as simple as swapping a library.
@Starknet's independent L1 exploration is about gaining greater control over those decisions, including the timing of core post-quantum upgrades.
As an L2, some of that work depends on Ethereum's own cryptographic migration.
Planning for change before it's urgent is the part I find interesting.
#Starknet
ct when a free mint has a lockup before trading: tf you mean i can't dump it in 11 seconds
ct when the same @conso_xyz BOT can be imported into the upcoming Miner App for a 25% mining boost: wait so the bear actually has a job
up to 10 BOTS per account means the math gets interesting fast. 1 BOT is cute, 10 starts looking like a tiny mobile node setup
crypto spent years asking collectibles for utility and now utility shows up wearing a polar bear suit. hate to see it
Imagine your company finds a security flaw, but fixing it depends on another company's upgrade schedule.
That's a coordination problem.
For a blockchain, cryptographic changes can involve deep infrastructure and multiple layers of dependencies.
@Starknet is exploring an independent L1 partly to gain more control over its core security upgrades instead of relying entirely on Ethereum's migration timeline.
That autonomy could matter as the industry prepares for post-quantum cryptography.
The takeaway isn't that one architecture solves every risk. It's that control over the upgrade path matters.
https://t.co/wOp7P7OKXo
#Starknet
Why am I paying attention to @NeoSoulAI? Because trading agents have the same problem as most AI products: outputs are easy, accountability is hard.
NeoTrade lets users define capital and risk limits, then review what the agent actually did. evoevo connects the information, reasoning and outcome, so performance can be checked instead of taken on faith.
The same logic reaches $DNA. Team tokens unlock through revenue and user retention metrics chosen with community input, not price or volume.
AI agents need measurable results. Token incentives do too. NeoSoul is trying to build both into the product from day one
NeoSoul
day 1 token.
100 year dream.
call it crazy. this one's ours.
ai agents already think, ping APIs, and settle payments on their own. their economy needs a single unit of account. that's $DNA.
we're betting the whole company on it.
the believe plan:
Why put an AI guard at the entrance? Because Agents read both user instructions and untrusted content.
If an email contains a hidden command, the Agent may treat it as part of the task. That becomes dangerous once tools or business data are involved.
@Acurast built Jailbreak the Guard to test this problem:
• Submit a prompt
• Laya decides whether to allow or block it
• The model identifies the likely attack type
• The decision runs on an Android phone in the Acurast network
It will not catch every adversarial prompt. But as a first filter before permissions and tool calls, this is a practical use of decentralized compute.
The real test is whether developers keep deploying workloads and paying for them with $ACU.
#Acurast #AI #DePIN
