Exploring web3 & interested in crypto matters
Joined May 2024
- Tweets49.2K
- Following1.5K
- Followers3.1K
- Likes36K
Bryan Quartz retweeted
let's be honest, tradfi is not ignoring crypto because they don't care.
they care. they just can't do it the way we do it.
a bank or a fund can't just dump their private books, customer data, and reserve history onto a public ledger.
but at the same time, they can't expect the market to just trust them either.
that is the deadlock. and that breakdown by @0x0Nova really nails it.
for years we thought institutional adoption was about interest.
it wasn't. it was about compliance being impossible.
if they show everything, they break privacy and law. if they show nothing, nobody trusts them.
so they stayed on the sidelines. not because they were lazy, because there was no middle ground.
what @primus_labs is building tries to build that middle ground.
here it is in simple terms, 3 parts:
1. zktls for data proofs
instead of exposing raw data, institutions prove a specific claim straight from the source. like "yes, we meet the reserve threshold" without leaking the actual books.
think of it like showing your id to prove you are over 18, without showing your home address.
2. hardware isolation via phala tees
proofs are useless if the network can be corrupted.
so they run attestor nodes inside trusted execution environments. the signing keys and software are locked down at hardware level, so even the operators can't tamper with them.
it is not just software security. it is hardware security.
3. economic accountability
secure enclaves alone are not enough. so you pair them with staked tokens and penalties.
if a node misbehaves, they lose money. that gives them real skin in the game.
that is the whole idea.
look, this is not magic. it is just realistic infrastructure.
institutions won't change their whole system to fit us. so we have to build infrastructure that fits them halfway.
if primus gets this right, it is not about hype. it is about making trust possible without forcing everyone to be fully public.
and that is what has been missing.
interested in how primus xp works?
check here - s.kaito.ai/ogfneOa
Imagine a financial institution trying to prove it has enough assets to use an onchain service.
Showing its entire financial history to everyone isn't really an option.
But asking people to simply trust its claims isn't a good solution either.
I've been going through the Primus Network documentation and I think the way @primus_labs handles verification deserves more discussion.
We often talk about bringing institutional finance onchain but there's a lot that needs to happen before companies can comfortably use public blockchain infrastructure.
One of those things is being able to verify financial information without exposing everything behind it.
--> How does Primus handle verification?
Primus uses zkTLS to help applications verify information from offchain sources, including websites and financial platforms.
Instead of publishing sensitive records, users can generate proofs about specific information that another application needs to verify.
For example, a financial institution might need to prove that it holds sufficient reserves.
The receiving application could verify the required claim without needing the institution's complete account history published onchain.
But generating a proof is only part of the process.
Someone also needs to make sure the verification itself was performed correctly.
--> This is where Attestor Nodes come in
Primus Network uses attestor nodes to execute zkTLS verification tasks and issue proofs.
These nodes run inside Trusted Execution Environments, or TEEs.
Primus integrates Phala's TEE infrastructure to protect sensitive cryptographic keys and help ensure that nodes execute approved software.
The signing keys are managed inside the protected environment and signing operations are designed to happen only after the required verification process.
I think this is an important part of the system.
After all, there's not much value in proving something cryptographically if the process creating that proof can be easily manipulated.
--> What keeps node operators accountable?
@primus_labs has designed a system where attestors stake tokens, receive fees for completed verification tasks and can face penalties for dishonest execution or excessive failures.
One detail worth mentioning is that the penalty mechanism is being introduced gradually.
The documentation says early staging phases use authorized nodes, while penalties and broader governance are planned for later stages.
I appreciate that distinction because there's a difference between a security mechanism being designed and having it fully operational.
--> Why does any of this matter for institutional finance?
Banks, funds and other financial institutions deal with information they can't simply publish on a public blockchain.
They still need ways to prove balances, verify assets and support financial transactions.
Primus is working on the infrastructure that could make those interactions possible without requiring unnecessary disclosure.
Of course, verification doesn't eliminate every risk.
The original data source, the application using the proof and the surrounding security controls still matter.
But I think the approach makes sense.
If financial institutions are going to use onchain services more seriously, they need ways to prove what matters while keeping the rest of their information private.
That's a much more practical problem to solve than simply convincing institutions to move everything onchain.
I'll be following how @primus_labs expands its attestor network and how developers use these verification tools in real financial applications.
You can explore Primus and its XP tasks here:
s.kaito.ai/g70fM3N
#Primus #zkTLS #Privacy #DeFi #InstitutionalFinance
Bryan Quartz retweeted
the real challenge with an autonomous economy isn't getting AI agents to do tasks. it's getting them to work together without needing humans to micromanage every step.
one agent might write code, another might analyze data, and another might handle payments. but what happens when one needs help from an agent built by a completely different developer?
if a human has to step in every time, we lose a big part of the benefit.
that's why @termix_ai integrating binance agent IDs caught my attention. using readable .ai handles instead of complicated 0x addresses makes it easier for agents to find and talk to each other.
but discovery is only the beginning.
• Identity and discovery
agents need a simple way to find each other, chat, and negotiate tasks without manual intros.
• Payments and execution
with AACP handling orders, escrow, and verification, agents can move beyond making promises to settling payments onchain once the work is done.
• Real activity
protocol revenue and job metrics can help show whether these systems are actually being used instead of just attracting registrations.
• Putting agents to work
termix's quant agent campaigns also explore how users can delegate USDC for trading while still being able to pull the plug.
as @0x0Nova pointed out, the bigger question is whether people will trust automated systems enough to let unfamiliar agents handle money and important tasks.
i think that's where reputation and permissions become just as important as communication.
users need to know what an agent can do, what it’s done before, and how much control they've given it.
getting agents to talk is one thing. getting them to work together, complete tasks, and handle payments with less human intervention is a much bigger step.
that's what will determine how far the machine-to-machine economy can go.
🤝 Paid partnership
Having an AI agent that can do complicated tasks is useful but what happens when you want that agent to work with someone else's?
Finding the right agent, contacting it, agreeing on a job and getting paid shouldn't require someone to manually manage every step.
@termix_ai has been making progress on this and the latest Binance Agent ID integration adds another piece to the process.
There are a few recent updates I wanted to talk about.
--> Binance Agent ID is now integrated with TermiX
Agents with TermiX Skills installed can communicate using Binance Agent IDs.
TermiX even shared a demonstration involving the Agent IDs of @cz_binance and @heyibinance.
Imagine having an agent that specializes in market research and needs help checking a smart contract.
Instead of trying to handle everything itself, it could find another agent, contact it and discuss a possible collaboration.
I can see this being useful as more developers start building agents with different specialties.
Of course, both sides need the necessary Skills installed and messaging alone doesn't mean a job has been agreed upon.
--> There's also real activity behind the marketplace
@termix_ai recently reported that it ranked first among AI agent protocols on BNB Chain by protocol revenue over both 7-day and 30-day periods, based on DeFiLlama data.
I prefer looking at revenue alongside actual completed jobs rather than focusing only on how many agents have registered.
An agent can have an identity and a service listing but that doesn't tell us whether anyone finds its work useful.
TermiX uses AACP to manage orders, escrow, delivery verification and settlement.
That gives clients a way to pay for specific work and agents a record of what they've delivered.
--> The Quant Agent campaign is another example
TermiX and @BNBCHAIN have introduced a campaign where users can choose a trading strategy, set a USDC trading cap and select how long the agent can operate.
The shortest available term is six hours.
Users can earn 100 TermiX Points per USDC delegated on qualifying completed jobs, while strategy providers receive 50 TP per USDC.
These are platform points, not guaranteed trading profits.
I also like that users can set limits and revoke an agent's trading session, even though ending it early means the job won't qualify for those points.
For me, the next thing worth watching is whether these tools actually make people more comfortable hiring agents they don't know.
I'd want to see their previous work, understand their permissions and know what happens if something goes wrong.
Connecting agents is useful but making those working relationships reliable is what will determine whether people keep using them.
You can explore the marketplace here:
agent.family/
#TermiX #AIAgents #BNBChain #AgentEconomy
let's be honest, tradfi is not ignoring crypto because they don't care.
they care. they just can't do it the way we do it.
a bank or a fund can't just dump their private books, customer data, and reserve history onto a public ledger.
but at the same time, they can't expect the market to just trust them either.
that is the deadlock. and that breakdown by @0x0Nova really nails it.
for years we thought institutional adoption was about interest.
it wasn't. it was about compliance being impossible.
if they show everything, they break privacy and law. if they show nothing, nobody trusts them.
so they stayed on the sidelines. not because they were lazy, because there was no middle ground.
what @primus_labs is building tries to build that middle ground.
here it is in simple terms, 3 parts:
1. zktls for data proofs
instead of exposing raw data, institutions prove a specific claim straight from the source. like "yes, we meet the reserve threshold" without leaking the actual books.
think of it like showing your id to prove you are over 18, without showing your home address.
2. hardware isolation via phala tees
proofs are useless if the network can be corrupted.
so they run attestor nodes inside trusted execution environments. the signing keys and software are locked down at hardware level, so even the operators can't tamper with them.
it is not just software security. it is hardware security.
3. economic accountability
secure enclaves alone are not enough. so you pair them with staked tokens and penalties.
if a node misbehaves, they lose money. that gives them real skin in the game.
that is the whole idea.
look, this is not magic. it is just realistic infrastructure.
institutions won't change their whole system to fit us. so we have to build infrastructure that fits them halfway.
if primus gets this right, it is not about hype. it is about making trust possible without forcing everyone to be fully public.
and that is what has been missing.
interested in how primus xp works?
check here - s.kaito.ai/ogfneOa
Imagine a financial institution trying to prove it has enough assets to use an onchain service.
Showing its entire financial history to everyone isn't really an option.
But asking people to simply trust its claims isn't a good solution either.
I've been going through the Primus Network documentation and I think the way @primus_labs handles verification deserves more discussion.
We often talk about bringing institutional finance onchain but there's a lot that needs to happen before companies can comfortably use public blockchain infrastructure.
One of those things is being able to verify financial information without exposing everything behind it.
--> How does Primus handle verification?
Primus uses zkTLS to help applications verify information from offchain sources, including websites and financial platforms.
Instead of publishing sensitive records, users can generate proofs about specific information that another application needs to verify.
For example, a financial institution might need to prove that it holds sufficient reserves.
The receiving application could verify the required claim without needing the institution's complete account history published onchain.
But generating a proof is only part of the process.
Someone also needs to make sure the verification itself was performed correctly.
--> This is where Attestor Nodes come in
Primus Network uses attestor nodes to execute zkTLS verification tasks and issue proofs.
These nodes run inside Trusted Execution Environments, or TEEs.
Primus integrates Phala's TEE infrastructure to protect sensitive cryptographic keys and help ensure that nodes execute approved software.
The signing keys are managed inside the protected environment and signing operations are designed to happen only after the required verification process.
I think this is an important part of the system.
After all, there's not much value in proving something cryptographically if the process creating that proof can be easily manipulated.
--> What keeps node operators accountable?
@primus_labs has designed a system where attestors stake tokens, receive fees for completed verification tasks and can face penalties for dishonest execution or excessive failures.
One detail worth mentioning is that the penalty mechanism is being introduced gradually.
The documentation says early staging phases use authorized nodes, while penalties and broader governance are planned for later stages.
I appreciate that distinction because there's a difference between a security mechanism being designed and having it fully operational.
--> Why does any of this matter for institutional finance?
Banks, funds and other financial institutions deal with information they can't simply publish on a public blockchain.
They still need ways to prove balances, verify assets and support financial transactions.
Primus is working on the infrastructure that could make those interactions possible without requiring unnecessary disclosure.
Of course, verification doesn't eliminate every risk.
The original data source, the application using the proof and the surrounding security controls still matter.
But I think the approach makes sense.
If financial institutions are going to use onchain services more seriously, they need ways to prove what matters while keeping the rest of their information private.
That's a much more practical problem to solve than simply convincing institutions to move everything onchain.
I'll be following how @primus_labs expands its attestor network and how developers use these verification tools in real financial applications.
You can explore Primus and its XP tasks here:
s.kaito.ai/g70fM3N
#Primus #zkTLS #Privacy #DeFi #InstitutionalFinance
the real challenge with an autonomous economy isn't getting AI agents to do tasks. it's getting them to work together without needing humans to micromanage every step.
one agent might write code, another might analyze data, and another might handle payments. but what happens when one needs help from an agent built by a completely different developer?
if a human has to step in every time, we lose a big part of the benefit.
that's why @termix_ai integrating binance agent IDs caught my attention. using readable .ai handles instead of complicated 0x addresses makes it easier for agents to find and talk to each other.
but discovery is only the beginning.
• Identity and discovery
agents need a simple way to find each other, chat, and negotiate tasks without manual intros.
• Payments and execution
with AACP handling orders, escrow, and verification, agents can move beyond making promises to settling payments onchain once the work is done.
• Real activity
protocol revenue and job metrics can help show whether these systems are actually being used instead of just attracting registrations.
• Putting agents to work
termix's quant agent campaigns also explore how users can delegate USDC for trading while still being able to pull the plug.
as @0x0Nova pointed out, the bigger question is whether people will trust automated systems enough to let unfamiliar agents handle money and important tasks.
i think that's where reputation and permissions become just as important as communication.
users need to know what an agent can do, what it’s done before, and how much control they've given it.
getting agents to talk is one thing. getting them to work together, complete tasks, and handle payments with less human intervention is a much bigger step.
that's what will determine how far the machine-to-machine economy can go.
🤝 Paid partnership
Having an AI agent that can do complicated tasks is useful but what happens when you want that agent to work with someone else's?
Finding the right agent, contacting it, agreeing on a job and getting paid shouldn't require someone to manually manage every step.
@termix_ai has been making progress on this and the latest Binance Agent ID integration adds another piece to the process.
There are a few recent updates I wanted to talk about.
--> Binance Agent ID is now integrated with TermiX
Agents with TermiX Skills installed can communicate using Binance Agent IDs.
TermiX even shared a demonstration involving the Agent IDs of @cz_binance and @heyibinance.
Imagine having an agent that specializes in market research and needs help checking a smart contract.
Instead of trying to handle everything itself, it could find another agent, contact it and discuss a possible collaboration.
I can see this being useful as more developers start building agents with different specialties.
Of course, both sides need the necessary Skills installed and messaging alone doesn't mean a job has been agreed upon.
--> There's also real activity behind the marketplace
@termix_ai recently reported that it ranked first among AI agent protocols on BNB Chain by protocol revenue over both 7-day and 30-day periods, based on DeFiLlama data.
I prefer looking at revenue alongside actual completed jobs rather than focusing only on how many agents have registered.
An agent can have an identity and a service listing but that doesn't tell us whether anyone finds its work useful.
TermiX uses AACP to manage orders, escrow, delivery verification and settlement.
That gives clients a way to pay for specific work and agents a record of what they've delivered.
--> The Quant Agent campaign is another example
TermiX and @BNBCHAIN have introduced a campaign where users can choose a trading strategy, set a USDC trading cap and select how long the agent can operate.
The shortest available term is six hours.
Users can earn 100 TermiX Points per USDC delegated on qualifying completed jobs, while strategy providers receive 50 TP per USDC.
These are platform points, not guaranteed trading profits.
I also like that users can set limits and revoke an agent's trading session, even though ending it early means the job won't qualify for those points.
For me, the next thing worth watching is whether these tools actually make people more comfortable hiring agents they don't know.
I'd want to see their previous work, understand their permissions and know what happens if something goes wrong.
Connecting agents is useful but making those working relationships reliable is what will determine whether people keep using them.
You can explore the marketplace here:
agent.family/
#TermiX #AIAgents #BNBChain #AgentEconomy
Bryan Quartz retweeted
hardware and control tech have outpaced the maps robots actually need.
old-school mapping is fine for highways.
it’s totally useless for a robot climbing a stairwell.
@vangrid_io replaces the fleet with a swarm of everyday smartphones.
contributors capture local spots on demand.
on-device processing blurs faces and plates, then turns the scene into 3D meshes.
buyers get structured geometry ready for navigation training.
every bounty is paid through USDC escrow and settled automatically upon delivery.
this is how physical AI labs get real-world human environments at scale.
the platform is live.
pick a space and walk it.
🤝 Paid partnership
hardware and control tech have outpaced the maps robots actually need.
old-school mapping is fine for highways.
it’s totally useless for a robot climbing a stairwell.
@vangrid_io replaces the fleet with a swarm of everyday smartphones.
contributors capture local spots on demand.
on-device processing blurs faces and plates, then turns the scene into 3D meshes.
buyers get structured geometry ready for navigation training.
every bounty is paid through USDC escrow and settled automatically upon delivery.
this is how physical AI labs get real-world human environments at scale.
the platform is live.
pick a space and walk it.
🤝 Paid partnership
Bryan Quartz retweeted
I've spent enough time looking at TermiX to stop asking whether the idea makes sense.
It does.
The harder question is whether the marketplace can actually produce repeat economic activity.
Because an agent marketplace has a pretty brutal test:
Can agents find useful services?
Do those services actually get hired?
Do providers consistently deliver?
Do buyers come back?
And does the history of those transactions become useful enough to influence the next decision?
@termix_ai has built infrastructure around those questions, but infrastructure alone doesn't guarantee the network works.
The real signal I'd watch isn't the number of agents registered.
It's the behavior underneath that number.
Jobs completed.
Repeat demand.
Successful providers.
Real settlements.
Useful reputation.
If those start compounding, the marketplace becomes much more interesting.
If they don't, you just have a directory with smart contracts underneath it.
That's the part I'm watching.
Bryan Quartz retweeted
𝗙𝗥𝗢𝗠 𝗣𝗔𝗥𝗧𝗡𝗘𝗥𝗦𝗛𝗜𝗣𝗦 𝗧𝗢 𝗨𝗧𝗜𝗟𝗜𝗧𝗬: 𝗜𝗡𝗧𝗘𝗥𝗟𝗜𝗡𝗞'𝗦 𝗡𝗘𝗫𝗧 𝗖𝗛𝗔𝗣𝗧𝗘𝗥
In Web3, partnerships can open doors. But real utility is what gives an ecosystem a reason to keep growing.
As InterLink moves toward its Mainnet phase, I believe one question deserves more attention:
How will the ecosystem turn its technology, relationships, and community into practical value for users?
In his recent statements, @kv_interlink discussed InterLink's connections with external organizations, technology providers, and its plans for broader ecosystem development.
Here are five areas worth watching.
➜ 1. Partnerships Should Create Practical Opportunities
Partnerships matter when they help deliver something useful, whether that means better infrastructure, easier access to services, stronger security, or new ways to use digital assets.
The important thing is understanding each relationship's actual scope rather than assuming every connection represents the same level of collaboration.
➜ 2. Infrastructure Is Only the Foundation
A blockchain can provide the technical foundation, but people still need applications that solve real problems.
For InterLink, the opportunity is to connect its identity system and blockchain infrastructure with services that users can genuinely benefit from.
That could involve payments, applications, or other ecosystem services as they become available.
➜ 3. $ITLG Needs Clear Utility
Transferability is an important development, but it is only one part of a token's usefulness.
Long-term utility depends on what people can actually do with the asset, how accessible those features are, and whether there is meaningful demand for the services behind them.
No partnership announcement alone can guarantee adoption or market value.
➜ 4. $ITL Also Needs a Clearly Defined Role
As the InterLink ecosystem develops, users need a clear explanation of how $ITL fits alongside $ITLG.
Understanding their respective functions, use cases, and relationship will help the community make sense of the broader ecosystem without confusing the two assets.
Official documentation should guide those expectations.
➜ 5. Transparency Builds Confidence
As @kv_interlink shares more about InterLink's development, the community should be able to evaluate progress through verifiable announcements, technical documentation, delivered products, and clearly explained token utility.
The strongest ecosystem is not necessarily the one with the biggest announcements. It is the one that consistently turns plans into useful outcomes.
𝗠𝗬 𝗩𝗜𝗦𝗜𝗢𝗡 𝗙𝗢𝗥 𝗜𝗡𝗧𝗘𝗥𝗟𝗜𝗡𝗞
→ Build practical applications people can understand and use.
→ Explain the distinct roles of $ITLG and $ITL.
→ Make ecosystem integrations meaningful and transparent.
→ Keep security, privacy, and responsible participation at the centre.
→ Measure progress by real utility, not hype alone.
InterLink has outlined ambitions across identity, blockchain infrastructure, financial utility, and institutional development.
The next chapter will be shaped by how effectively those ambitions become accessible products and reliable services.
As a community member, that's the progress I want to see: less speculation about what might happen and more clarity about what people can actually use.
What practical utility would you prioritise first for InterLink: payments, everyday applications, or institutional financial services?
#InterLink #ITLG #ITL – at Federal Capital Territory, Nigeria
🤝 Paid partnership
Bryan Quartz retweeted
Our new Original is lives on @Duelbits 1.99 come and join and participate right now @Cyberwinna @OparaMickeyPee
🆔
6ed2116e-d9e4-41b1-a13d-391cd2530e24
💣 𝗖𝗔𝗡𝗡𝗢𝗡𝗕𝗔𝗟𝗟 𝗚𝗜𝗩𝗘𝗔𝗪𝗔𝗬 💣
$500 up for grabs. 10 winners. ⚔️
Our new Original is live, and we're giving away $50 to 10 lucky winners! 👀
𝗛𝗼𝘄 𝘁𝗼 𝗘𝗻𝘁𝗲𝗿:
✅ Follow @Duelbits
👥 Tag a friend and drop your User ID
💣 Tell us your best Cannonball strategy
10 winners will be randomly selected. Good luck! 🍀
Bryan Quartz retweeted
🚨 THIS WEEK'S KEY DEVELOPMENTS
✍️ Tuesday
• CBDC Conference kicks off in Amsterdam. The two-day event will focus on global crypto regulations, stablecoins, and digital currency infrastructures.
• Ethereum “Hoodi” Testnet launch
✍️ Wednesday
• Fed Interest Rate Decision — 21:00
Expectation: 4% | Previous: 4%
• Fed Chair Warsh Remarks — 21:30
✍️ Thursday
• US Core PCE (YoY) — 15:30
• US GDP Data — 15:30
• ECB Interest Rate Decision — 16:15
Expectation: 2.65% | Previous: 2.65%
✍️ Friday
• Bank of Japan (BoJ) Interest Rate Decision — 06:00
Expectation: 1.25% | Previous: 1.25%
• Fed Member Daly Remarks — 19:00
⚠️ Not financial advice.
#Crypto #Macro #Fed #ECB #Economy
Bryan Quartz retweeted
Bank sent me: "Debit: N52.50 SMS alert charge." They charged me to tell me they charged me. I did not ask for this level of transparency.
@RallyOnChain what notification are you paying for right now?
• ai is moving past simple chatbots toward more active, competitive systems.
• @agentdojo is driving this change with an arena where autonomous agents train and battle to test their logic.
• this competitive setup gives autonomous tech a practical use that the crypto crowd is really into.
• a campaign is running on @rarelistio from October 23 to November 6, giving you a chance to try it out and get in early.
• it’s a great window to check out the future of competitive ai before the platform really takes off.
🤝 Paid partnership
to do well in @fomopoly_rh, you need to balance owning land with timing your moves just right.
• you’ve got to choose between holding land to boost its value or selling it off to earn stocks and $DEAL.
• since every move counts, the game is really all about your decision-making rather than just basic trading.
• with the @rarelistio campaign going on, it’s a great time to jump in and find a strategy that works for you.
Bryan Quartz retweeted
ai marketing is getting interesting. we're moving beyond generating content to learning what performs.
🤝 Paid partnership
Bryan Quartz retweeted
seeing @0xhazels launch this new campaign with @meetmotes is interesting because it’s not just another standard rewards pool.
motes is trying to build encrypted infrastructure where nft-owned ai agents can handle defi and polymarket trades directly through robinhood. it’s a weird concept to wrap your head around giving a software agent the keys to trade on a traditional finance app while keeping it secure.
honestly i'm just tracking this early phase to see if these automated financial setups can actually bridge the gap to real-world markets safely without running into major regulatory or technical blockers.
New creator campaign @meetmotes is now live.
0.5% of the $MOTES supply up for grabs.
Motes is building encrypted financial infrastructure with NFT-owned AI Agents executing DeFi and @Polymarket trades on @RobinhoodApp.
Bryan Quartz retweeted
Lots of people have a game idea sitting in their head and never build it, because they assume it's too hard.
@RYFTCORP is built for those people.
You type a prompt, and you get a playable game. No code, no team, no studio.
In the video i went through games that are already live on the platform and played my favourite one on camera, and it's the kind of thing I'd have dismissed as impossible not long ago.
RYFT GAMES // SEASON 01 is running until 8 Nov with a $50,000 prize pool, and anyone who builds a game can enter for a chance at a share.
I'm also looking forward to the TGE and the launchpad going live.
If you've been sitting on an idea, this is a good moment to try it.
Create your own game and enter the competition.
🤝 Paid partnership
Bryan Quartz retweeted
Official XIIID New Event + My Giveaway
Education hits differently when learning becomes something you can actually earn from.
That’s one reason I like what @xiiid_official is building with AI-powered education and its mission to bring AI tutors to public schools in Paraguay.
Through XClass, users can learn and earn XPoints, while XWallet now supports SBT collections and Launch Pass benefits.
➜ XIIID’s official community event has rewards in $XIIID, USDT and SBTs.
➜ I’m also hosting a separate 30 USDT giveaway for 3 winners (10 USDT each).
How to enter my giveaway:
➤ Follow @xiiid_official
➤ Join t.me/xiiidchat
➤ Comment below tagging @xiiid_official and include your Telegram handle.
Both events run until November 5 (UTC). Winners for my giveaway will be announced November 6.
Two separate events, more chances to win. Check 👇 Easy To Join
#xiiid #aitutor
🚀 XWallet Update & Community Support Event
SBTs are now visible in XWallet!
View your collection and explore the benefits of holding Launch Pass SBTs. 🎟️
✅ LAUNCH PASS SBT HOLDER BENEFITS
1️⃣ $1,000 XIIID Airdrop Pool
2️⃣ Airdrop Multiplier Boost
3️⃣ XCLASS Premium Pass
Collect → Hold → Stack → Maximize Rewards 🚀
🎁 Event Rewards (XIIID can be swapped)
• FCFS: First 200 Eligible Participants × 300 $XIIID
• Lucky Draw
– 1 Winner → 20 USDT
– 8 Winners → 10 USDT each
– 50 Winners → 1 SBT each
– 300 Winners → 300 $XIIID each (excluding FCFS recipients)
📋 How to Participate
✅ Follow @xiiid_official
✅ Like, RT & XIIID supportive Comment on this post (+ Tag 3 friends)
✅ Join XIIID Telegram Community
✅ Download XWallet
✅ Submit the participation form
👉 tally.so/r/4aaaEY
📲 Join XIIID on Telegram
• t.me/xiiidchat
• t.me/xiiid_channel
📲 Download XWallet (Google Play / App Store)
• Google Play: play.google.com/store/apps/d…
• App Store: apps.apple.com/kr/app/xwalle…
📲 Coingecko
• coingecko.com/en/coins/xiiid
⚠️ Important
• Bots, Sybil activity, duplicate/multi-accounts, spam, and artificial engagement will be excluded.
📅 Event Period: Oct 26 – Nov 5, 2026 (UTC)
📢 Winners Announcement: Nov 6, 2026 (UTC)
Celebrate the XWallet update and show your support for XIIID! 🚀
#XIIID #XClass #XPoints #Airdrop #LearnToEarn #AIEducation
Bryan Quartz retweeted
Good morning🔆
Happy Monday to everyone!
Reputation Is Only Half the Story: Turning Trust Into Buying Power Without Giving Up Control
Most conversations about agentic credit stop at the score. How does an autonomous trading system earn trust? What does a healthy ACS look like? Those are good questions, but I find the next one more interesting: what happens once reputation turns into actual credit access?
The simplest lending model is easy to describe. @agenticscredit
Approve the borrower, send the capital, and hope they keep behaving the way that got them approved. For human borrowers with slow decision cycles, that can work.
For autonomous trading systems, it is a weak risk model.
Consider an agent with a strong track record: controlled drawdown, consistent execution, a solid ACS. That history is real evidence. But it describes past behavior, not a guarantee.
Markets shift, strategies drift, and an agent that performed well on modest capital may behave very differently with far more of it. The moment credit becomes available is exactly when the infrastructure matters most.
This is why the difference between buying power and custody matters so much. If an agent receives unrestricted control of borrowed capital, the lender's protection depends on trust alone.
If the agent gains buying power inside defined rails, the picture changes. Position sizing limits, leverage caps, and drawdown thresholds keep applying after the money is accessible.
The agent can still trade and the strategy still has room to operate, but the capital stays in an environment where risk rules are enforced rather than merely hoped for.
Think of a trader at a prop firm. They don't get a wire transfer and a handshake. They get a funded account with a maximum daily loss and position limits. The rules don't insult the trader's skill. They are what make it sensible to extend capital in the first place.
Autonomous systems make this more important, not less. Their value comes from acting continuously, executing faster than humans, and managing strategies without waiting for approval. Those same traits make unrestricted access to borrowed capital hard to justify.
A human might pause after a bad week. An agent without constraints may simply keep going. More autonomy should come with better infrastructure around it, not fewer controls.
That is why I see two separate questions in Agentics. ACS answers the first: how much trust has this trading behavior earned?
The credit architecture has to answer the second: how do you turn that trust into useful buying power without giving up control over the downside? The second is harder, and over the long run probably more important.
A score is useful. Access is useful. But the real infrastructure is the layer connecting reputation, capital, and enforceable risk boundaries. That is the part I'll be watching most closely. @agenticscredit
The future of agentic credit probably isn't about giving agents more capital. It's about giving them more capability without giving away all the control.
to do well in @fomopoly_rh, you need to balance owning land with timing your moves just right.
• you’ve got to choose between holding land to boost its value or selling it off to earn stocks and $DEAL.
• since every move counts, the game is really all about your decision-making rather than just basic trading.
• with the @rarelistio campaign going on, it’s a great time to jump in and find a strategy that works for you.
🤝 Paid partnership
• you can snag an early spot in the @projectspherexy genesis registry to get a jump on their long-term plans.
• use that early access over at @rarelistio to help build stories and create content.
• by finishing tasks and contributing to the project, you’ll earn rewards called RARS.
• it’s basically a cycle where your early status, verification, and creative work all come together to pay you for helping out.
Bryan Quartz retweeted
Iron man falling from a building and suiting up mid air.
I generated this video using @ONcompute Inference.
No local GPU, No 20 minutes wait.
Just Prompt and Hit Generate.
The future of Video generation is Decentralized.
#AI #GPU
Bryan Quartz retweeted
One thing that gets overlooked with AI agents:
They don't just need intelligence.
They need a way to do business with each other.
An agent might need an audit, a research report, a trading signal or even another agent's API.
--> But who hires whom?
--> Who holds the payment?
--> What happens if the work isn't delivered?
This is where @TermiX_ai gets interesting.
The agent isn't just discovering another agent.
It can post a job → receive quotes → lock payment in escrow → receive the deliverable → settle on-chain.
That starts looking less like a chatbot economy...
and more like an actual machine-to-machine labour market.
The interesting part isn't that agents can talk to each other.
It's that they can potentially transact with each other without humans coordinating every step.
That feels like a much bigger shift.
One thing I don't want from the agent economy:
❌️ LinkedIn for bots.
❌️ A polished profile.
❌️ A few impressive claims.
“Top AI researcher.”
“Elite trading agent; 99% reliable.”
But where's the evidence?
@termix_ai is taking a different approach by making an agent's economic history part of its identity.
✔️Jobs completed.
✔️Payments settled.
✔️Challenges.
✔️Reputation.
All tied back to an on-chain agent identity.
That changes the question from:
“What does this agent claim it can do?”
to:
“What has this agent actually done?”
That distinction sounds small now.
It probably won't be when autonomous agents are moving real money between each other.
#AIagents #AI
