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Joined July 2024
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The Agent economy is moving beyond theory. The numbers are starting to show real activity. ๐
@termix_ai has crossed $30.45M in agent transaction volume on Agent.family.
๐ 1.31M+ agents indexed across @BNBCHAIN and @base
๐ 588K+ cumulative jobs
๐ $609K+ displayed protocol revenue
But the bigger story isn't just the volume.
It's agents discovering services, hiring other agents, completing tasks, and settling payments through verifiable infrastructure.
This is what makes the agent economy interesting: autonomous agents creating measurable economic activity.
$30M is a milestone. The real opportunity is what comes next.
Agents that work and transact is what lies beyond.
Most NFTs are built to be collected. @meetmotes is exploring something more interesting: NFTs that can actually put intelligence to work.
With Motes, your NFT becomes the identity layer for an AI Agent, connecting ownership with smart accounts and onchain financial activity.
Think beyond digital collectibles:
โ AI agents interacting with DeFi
โ Smarter capital strategies
โ Access to swaps, lending and prediction markets
โ Users retaining control through defined permissions
The bigger idea is simple: your NFT, your agent, your capital, your strategy.
Motes isn't just rethinking NFT utility. It's exploring what happens when digital ownership meets autonomous finance.
The next evolution of NFTs could be much more than art. ๐ง
Most NFTs are built to be collected. @meetmotes is exploring something more interesting: NFTs that can actually put intelligence to work.
With Motes, your NFT becomes the identity layer for an AI Agent, connecting ownership with smart accounts and onchain financial activity.
Think beyond digital collectibles:
โ AI agents interacting with DeFi
โ Smarter capital strategies
โ Access to swaps, lending and prediction markets
โ Users retaining control through defined permissions
The bigger idea is simple: your NFT, your agent, your capital, your strategy.
Motes isn't just rethinking NFT utility. It's exploring what happens when digital ownership meets autonomous finance.
The next evolution of NFTs could be much more than art. ๐ง
Web3Chronicles retweeted
The Agent economy is moving beyond theory. The numbers are starting to show real activity. ๐
@termix_ai has crossed $30.45M in agent transaction volume on Agent.family.
๐ 1.31M+ agents indexed across @BNBCHAIN and @base
๐ 588K+ cumulative jobs
๐ $609K+ displayed protocol revenue
But the bigger story isn't just the volume.
It's agents discovering services, hiring other agents, completing tasks, and settling payments through verifiable infrastructure.
This is what makes the agent economy interesting: autonomous agents creating measurable economic activity.
$30M is a milestone. The real opportunity is what comes next.
Agents that work and transact is what lies beyond.
Web3Chronicles retweeted
The real opportunity with @meetmotes goes beyond creator rewards.
0.5% of $MOTES is allocated to the top 500 Hazels creators, fully unlocked with no vesting.
But the bigger vision is connecting NFT-owned AI agents to DeFi and Polymarket through encrypted financial infrastructure.
Creators earn today. Autonomous finance is the bigger story. ๐
Join: studio.hazels.io/pulse/motes
Web3Chronicles retweeted
๐ง๐ต๐ฒ ๐ถ๐ป๐๐ฒ๐ฟ๐ป๐ฒ๐ ๐ผ๐ณ ๐ฏ๐น๐ผ๐ฐ๐ธ๐ฐ๐ต๐ฎ๐ถ๐ป๐ ๐
๐๐ ๐ฑ๐ฒ๐ด๐ฒ๐ป๐ โ๏ธ๐
Today's time machine takes us into the Cosmos ๐
๐น In 2017, ATOM's ICO price was around $๐ฌ.๐ญ๐ฌ โ your $1 could buy roughly ๐ญ๐ฌ ๐๐ง๐ข๐ .
๐น At the September 2021 peak near $๐ฐ๐ฐ.๐ด๐ฌ, those 10 ATOM were worth around $๐ฐ๐ฐ๐ด.
๐น Today, those same 10 ATOM are worth roughly $๐ญ๐ฐ.
That's a brutal fall from the peak โ around ๐ต๐ณ% down. ๐
But here's what makes Cosmos interesting ๐
๐ Built around the idea of connecting independent blockchains, Cosmos uses IBC (Inter-Blockchain Communication) to let compatible chains exchange data and tokens.
๐ The IBC ecosystem has expanded to connect ๐ญ๐ฌ๐ฌ+ chains.
And founder Jae Kwon stepped away from his leadership role to pursue other initiatives โ but the ecosystem kept building.
One blockchain can stand alone. Connected blockchains can create an entirely different world.
๐ Do you think Cosmos can make a comeback, or has another project taken the lead in blockchain interoperability?
๐๐ ๐ฑ๐ฒ๐ด๐ฒ๐ป๐ โ๏ธ๐
๐๐ถ๐๐ฐ๐ผ๐ถ๐ป'๐ ๐๐ถ๐น๐๐ฒ๐ฟ ๐ฅ
Today's first time machine takes us back to Litecoin ๐
๐น Back in 2012, LTC traded around $๐ฌ.๐ญ๐ฌ. Your $1 could buy roughly ๐ญ๐ฌ ๐๐ง๐.
๐น At its May 2021 peak near $๐ฐ๐ญ๐ฌ, those 10 LTC were worth around $๐ฐ,๐ญ๐ฌ๐ฌ.
๐น Today, those same 10 LTC are worth roughly $๐ฑ๐ฎ๐ฒ โ about ๐ฑ๐ฎ๐ฒ๐
your original dollar.
That's one wild trip through crypto history. ๐
A little history: Charlie Lee, a former Google engineer, created Litecoin in 2011 as the โsilver to Bitcoin's gold.โ
โก Faster block times than Bitcoin
๐ช Maximum supply of 84M LTC
โฑ๏ธ One block roughly every 2.5 minutes
And here's the twist: in December 2017, Charlie Lee sold almost all his LTC, citing a potential conflict of interest. A controversial move that still gets discussed today.
Silver may not shine as brightly as gold, but Litecoin has survived multiple market cycles.
๐ Do you still hold LTC, or do you think another coin deserves the title of Bitcoin's silver?
Web3Chronicles retweeted
this also matters for AI agents.
more people are letting AI agents do things for them, like checking prices, moving money, or making decisions. and that raises a simple question: how do you know the agent actually did what it says it did?
right now, most of the time you just have to trust it. you can't easily check where it got its information or whether it really made the call it claims
this is another area @primus_labs is working on. the idea is to let an agent prove that a specific action or data source was real, without revealing everything behind it
for example, an agent could say "I got this price from this exchange," and there would be a way to check that's true, without handing over private details like logins or full account data
it doesn't prove the agent made a good decision. but knowing its information and actions were real is a good first step
I think this matters more as agents start handling more money
s.kaito.ai/LgpVUT2
๐ค Paid partnership ยท ๐ค Made with AI
Web3Chronicles retweeted
Happy new day
AI agents can already move money.
But moving money and being trusted with money are two very different things.
A recent BeInCrypto report examined 6.4 million x402 payments over 35 days. 90.8% were worth less than one cent.
That tells me the agent economy is still much closer to automated micropayments than meaningful financial autonomy.
What caught my attention was @zerufinance CEO Ashutosh Sahoo's perspective:
The problem isn't simply giving agents better wallets. It's that today's financial infrastructure was designed around humans, institutions, and their existing compliance models.
Autonomous agents need something different.
Imagine financial rules enforced directly at the protocol level: permissions, risk limits, and compliance checks built into the system before transactions happen, rather than relying mainly on retrospective monitoring.
This is where behavioral intelligence becomes important.
An agent's identity tells us which agent it is. Its behavior can tell us whether it deserves financial trust.
I think that distinction will matter far more as agents begin managing larger amounts of capital.
The next stage of the agent economy won't be defined by how many payments AI can execute.
It will be defined by how much responsibility we can safely delegate to it.
Web3Chronicles retweeted
ํ์ค์ํ ๊ธ์ต์ ๋ณด์์ ์ค๋งํธ ๊ณ์ฝ ๊ฐ์ฌ์์๋ง ์์๋๋ ๊ฒ์ด ์๋๋๋ค.
์๋น์ค๊ฐ ์ฌ์ฉ์๋ก๋ถํฐ ์ด๋ค ๋ฐ์ดํฐ๋ฅผ ์์งํ๊ณ , ๊ฒ์ฆ์ด ๋๋ ๋ค์๋ ๋ฌด์์ ๋ณด๊ดํ๋์ง ์ญ์ ์ค์ํ ์ํ ์์์
๋๋ค.
์๋ฅผ ๋ค์ด ์ ์ฉ ์กฐ๊ฑด์ด๋ ํน์ ์๊ฒฉ์ ํ์ธํ๋ ๋ฐ ํ์ํ ์ ๋ณด๊ฐ ๋จ ํ๋์ ์ฌ์ค์ด๋ผ๋ฉด, ์ ์ฌ์ฉ์์ ์ ์ฒด ๊ธ์ต ๊ธฐ๋ก๊น์ง ์์งํด์ผ ํ ๊น์?
๋ฐ์ดํฐ๋ฅผ ๋ง์ด ๋ณด์ ํ๋ค๊ณ ์๋น์ค๊ฐ ๋ฐ๋์ ๋ ์์ ํด์ง๋ ๊ฒ์ ์๋๋๋ค. ์คํ๋ ค ์ ๋ณด ์ ์ถ๊ณผ ์ค๋จ์ฉ์ ๊ฐ๋ฅ์ฑ์ ๋ฌผ๋ก , ๊ด๋ฆฌํด์ผ ํ ์ฑ
์๊น์ง ์ปค์ง ์ ์์ต๋๋ค.
11์ 4์ผ @primus_labs๊ฐ ๊ฐ์กฐํ ๋ฐฉํฅ์ ๋ช
ํํฉ๋๋ค.
๋ ์์งํ๊ณ , ๋ ์ ์ฅํ๋ฉฐ, ๋ ๊ณต๊ฐํ๋ค.
์ ๊ฐ ์ฃผ๋ชฉํ๋ ์ ์ ๊ฐ์ธ์ ๋ณด ๋ณดํธ๋ฅผ ๋จ์ํ ๋ฐ์ดํฐ๋ฅผ ์ํธํํ๋ ๊ธฐ์ ๋ก๋ง ๋ฐ๋ผ๋ณด์ง ์๋๋ค๋ ๊ฒ์
๋๋ค.
์ฒ์๋ถํฐ ๋ถํ์ํ ์ ๋ณด๋ฅผ ์์คํ
์ ๋ค์ด์ง ์๋ ๊ฒ. ํ์ํ ์ ๋ณด๋ง ํ์ฉํ๊ณ ๋๋จธ์ง๋ ๊ณต๊ฐํ์ง ์๋ ๊ฒ.
์จ์ฒด์ธ ๊ธ์ต์ด ๋ ๋ง์ ์๋ณธ๊ณผ ์ฌ์ฉ์๋ฅผ ๋ฐ์๋ค์ด๋ ค๋ฉด ๋ฐ์ดํฐ๋ฅผ ๋ฌด์์ ์ถ์ ํ๊ธฐ๋ณด๋ค, ๋ฐ์ดํฐ์ ๋ํ ์์กด์ฑ ์์ฒด๋ฅผ ์ค์ด๋ ์ค๊ณ๊ฐ ์ค์ํด์ง ๊ฒ์
๋๋ค.
๊ฐ์ฅ ๊ฐ๋ ฅํ ๋ฐ์ดํฐ ๋ณด์์ ์ ์ด์ ๋ถํ์ํ ๋ฐ์ดํฐ๋ฅผ ์์งํ์ง ์๋ ๋ฐ์ ์์๋ ์ ์์ต๋๋ค.
Web3Chronicles retweeted
Base just got a pretty big speed upgrade.
its Denim upgrade is now live, bringing block production down from 2 seconds to just 200 milliseconds.
that's five complete blocks every second.
the network also introduced more precise timestamps for smart contracts.
faster blocks don't mean instant finality, but this should help onchain apps feel more responsive.
nice progress.
Web3Chronicles retweeted
gm saturday โ๏ธ
finally a weekend with no early alarms.
woke up a little later than usual and honestly it feels so good haha.
probably gonna grab some coffee, finish a few small things and enjoy the rest of the day.
nothing too exciting planned.
hope everyone gets some time to relax today.
happy saturday frens.
Web3Chronicles retweeted
This feels especially relevant for prediction markets.
Not everyone engages with markets the same way. Some chase
short-term opportunities, others follow major events, and some are still figuring out how the platform works.
Those different experiences can reveal problems that product teams might overlook.
For @sight_hood, community feedback could matter beyond trading volume.
Input on market discovery, unclear interfaces, missing categories, and general usability can point to areas worth improving.
Building a prediction market platform isnโt just about adding new markets.
Itโs also about listening, learning, and refining the experience as the ecosystem grows.
The best products donโt simply bring users in.
They make people want to stay, participate, and help shape what comes next
๐ค Paid partnership ยท ๐ค Made with AI
Web3Chronicles retweeted
Think about a lending platform that needs to confirm someoneโs income.
It may only need proof that the income meets a required thresholdโnot visibility into every
transaction or account detail.
This is a key design question for privacy-focused verification.
With @primus_labs, zkTLS can verify information from real online sources without requiring users to hand over the full underlying record.
But thereโs another important layer.
How much data should an application be allowed to request before verification even begins
Even when sensitive information stays private, access should remain limited to the purpose the user approved.
Privacy should mean more than concealing data. It should also mean defining clear limits around how that data is verified and used.
How can Primus help developers
create verification flows where permissions are as precise as the proofs themselves
๐ค Paid partnership ยท ๐ค Made with AI
Web3Chronicles retweeted
good morning
most spatial datasets get collected first and hoped for later
on @vangrid_io the request comes first
buyer or agent names one place and locks USDC
someone nearby walks it
faces & plates gone before it leaves the phone
capture fingerprinted, root on Base or Arc
accept โ 3D model delivered
escrow only moves on acceptance
no random collection
no warehouse of unused clips
demand is what calls the capture
robots already have models
they still need the street that changed this week
the phone already there closes the gap
nice setup ๐ซก
@vangrid_io
