uinmyworld๐ง๐ฟโโ๏ธ retweeted
๐ง๐ต๐ฒ ๐๐ฑ๐ฒ๐ฎ ๐๐ฒ๐ต๐ถ๐ป๐ฑ ๐ฃ๐ฟ๐ผ๐๐ถ๐ป๐ด ๐ข๐ป๐น๐ ๐ช๐ต๐ฎ๐ ๐ ๐ฎ๐๐๐ฒ๐ฟ๐
๐ง๐ต๐ฒ ๐ฃ๐ฟ๐ผ๐ฏ๐น๐ฒ๐บ ๐ช๐ถ๐๐ต ๐๐๐น๐น ๐๐ถ๐ป๐ฎ๐ป๐ฐ๐ถ๐ฎ๐น ๐ง๐ฟ๐ฎ๐ป๐๐ฝ๐ฎ๐ฟ๐ฒ๐ป๐ฐ๐
Proof of Reserves sounds straightforward: an institution wants to show that it actually holds enough assets to back what it claims.
But there is a difference between proving a financial fact and exposing the entire financial picture.
A traditional approach can reveal things that aren't necessary for the actual verification:
โ Account balances
โ Counterparties
โ Banking relationships
โ Transaction history
โ Other sensitive financial information
For an institution handling serious capital, revealing all of that just to prove one reserve figure isn't necessarily a good trade-off.
๐ฃ๐ฟ๐ผ๐ผ๐ณ ๐ฆ๐ต๐ผ๐๐น๐ฑ ๐๐ป๐๐๐ฒ๐ฟ ๐ข๐ป๐ฒ ๐๐น๐ฒ๐ฎ๐ฟ ๐ค๐๐ฒ๐๐๐ถ๐ผ๐ป
This is where I find the approach from @primus_labs interesting.
Instead of treating transparency as โshow everything,โ PoR can be treated as a selective verification problem.
Imagine an institution needs to prove it has $50M in reserves.
The important question isn't:
โCan everyone see everything this institution owns?โ
It is:
โCan the institution cryptographically prove that the required $50M reserve exists?โ
That is a much narrower requirement.
๐ง๐ต๐ฒ ๐ฉ๐ฒ๐ฟ๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐ฃ๐ถ๐ฝ๐ฒ๐น๐ถ๐ป๐ฒ ๐๐ฎ๐ป ๐ฆ๐๐ฎ๐ ๐ฆ๐ฒ๐น๐ฒ๐ฐ๐๐ถ๐๐ฒ
The basic idea can be understood as:
โ Financial source
โ Verify the underlying data
โ Extract the relevant fact
โ Generate a cryptographic proof
โ Disclose only the required result
This changes what transparency means.
The goal isn't to make every piece of financial information public. The goal is to make the specific claim being relied upon independently verifiable.
๐ช๐ต๐ฒ๐ฟ๐ฒ ๐ฃ๐ฟ๐ถ๐บ๐๐ ๐๐ถ๐๐ ๐๐ป๐๐ผ ๐ฃ๐ผ๐ฅ
Several components make this model more practical.
โ zkTLS can verify information from external financial sources without requiring raw credentials or underlying records to become public.
โ Automated checks can make reserve verification more continuous instead of relying only on occasional manual audits.
โ Selective disclosure can limit what information actually needs to be revealed.
โ Consolidated reserves can help represent relevant onchain and offchain holdings as a unified, verifiable picture.
The interesting part is that these pieces attack the gap between verification and disclosure.
๐ง๐ฟ๐ฎ๐ป๐๐ฝ๐ฎ๐ฟ๐ฒ๐ป๐ฐ๐ ๐๐ผ๐ฒ๐๐ปโ๐ ๐ ๐ฒ๐ฎ๐ป ๐ฆ๐ต๐ผ๐๐ถ๐ป๐ด ๐๐๐ฒ๐ฟ๐๐๐ต๐ถ๐ป๐ด
For institutional finance, that distinction matters.
A company may need to prove:
โ It holds sufficient reserves
โ The underlying information is authentic
โ The claim can be independently verified
โ The verification can happen repeatedly
None of those requirements automatically means publishing the entire balance sheet.
That is the bigger idea I see behind Primus: prove what needs to be trusted without turning the proof into a disclosure of everything.
๐ฃ๐ฟ๐ถ๐บ๐๐ ๐๐ ๐ฆ๐ฒ๐ฐ๐๐ฟ๐ถ๐ป๐ด ๐ง๐ต๐ฒ ๐๐๐๐ฒ๐๐๐ผ๐ฟ ๐๐ฒ๐ต๐ถ๐ป๐ฑ ๐ง๐ต๐ฒ ๐ฃ๐ฟ๐ผ๐ผ๐ณ
When people talk about zkTLS security, the focus usually goes to the proof.
But there is another layer that is easy to overlook:
What protects the attestor generating and signing that proof?
This matters because the attestor sits between external Web2 information and the Web3 application consuming the result.
๐ง๐ต๐ฒ ๐๐๐๐ฒ๐๐๐ผ๐ฟ ๐๐ ๐ฃ๐ฎ๐ฟ๐ ๐ข๐ณ ๐ง๐ต๐ฒ ๐ง๐ฟ๐๐๐ ๐ ๐ผ๐ฑ๐ฒ๐น
A simplified zkTLS flow looks like:
โ Access information from a Web2 source
โ Run the zkTLS protocol
โ Generate the relevant proof
โ Sign the attestation
โ Deliver it for verification
The cryptography can verify the proof, but the infrastructure producing it still needs protection.
If the keys are exposed or the software is compromised, the trust model has another problem to deal with.
This is where Primus takes an interesting approach.
๐๐ฎ๐ฟ๐ฑ๐๐ฎ๐ฟ๐ฒ ๐๐ฒ๐ต๐ถ๐ป๐ฑ ๐ง๐ต๐ฒ ๐๐๐๐ฒ๐๐๐ผ๐ฟ
@primus_labs integrates Phala's Trusted Execution Environment, or TEE, into its attestor node software.
The goal is to protect both the runtime and the sensitive keys involved in attestation.
The first layer is key management.
Critical keys are generated and managed through a TEE-based KMS, so the attestor software doesn't simply receive the raw private key material.
Instead:
โ Keys remain protected
โ Signing happens inside the protected environment
โ The application doesn't directly handle raw key material
That creates a stronger boundary around the credentials responsible for signing attestations.
๐ง๐ต๐ฒ ๐๐ผ๐ฑ๐ฒ ๐ก๐ฒ๐ฒ๐ฑ๐ ๐ฃ๐ฟ๐ผ๐๐ฒ๐ฐ๐๐ถ๐ผ๐ป ๐ง๐ผ๐ผ
Protecting keys alone isn't enough.
The software running the attestor also matters.
Primus uses the TEE to provide a controlled execution environment for the attestor, with verified software versions used to reduce the risk of unauthorized code being introduced.
So the security model is not based on one protection mechanism.
It layers several controls:
โ Correct zkTLS execution
โ Protected signing keys
โ Verified software versions
โ Hardware-backed runtime
๐ช๐ต๐ ๐ง๐ต๐ถ๐ ๐ ๐ฎ๐๐๐ฒ๐ฟ๐ ๐๐ผ๐ฟ ๐ช๐ฒ๐ฏ๐ฎ ๐๐ฎ๐๐ฎ
Consider a Web3 application that wants to verify information from an existing Web2 service.
The application isn't simply trusting a website.
It receives an attestation generated by an attestor that has to correctly execute the protocol and securely sign the result.
That makes the attestor part of the security boundary:
Web2 Data โ Attestor โ Proof โ Web3 Application
If the attestor is compromised, the problem exists before the proof reaches the blockchain.
๐ฃ๐ฟ๐ถ๐บ๐๐ ๐๐ ๐ฆ๐ฒ๐ฐ๐๐ฟ๐ถ๐ป๐ด ๐ง๐ต๐ฒ ๐ฃ๐ฟ๐ผ๐ผ๐ณ ๐ฃ๐ฟ๐ผ๐ฑ๐๐ฐ๐ฒ๐ฟ
This is the deeper part of Primus that I find interesting.
The system isn't treating an attestor as just a server that runs zkTLS.
It is securing the environment around:
โ The code executing the protocol
โ The keys signing attestations
โ The software allowed to run
โ The hardware protecting execution
Because a cryptographic proof is only one part of the trust chain.
The infrastructure producing and signing that proof needs its own security guarantees too.
That gives Primus a layered model where the goal isn't only to prove what the data says, but to strengthen the environment responsible for proving it.
The RGB community is growing every day.
RGB builders community is amazing! Last week I shared an idea commenting a post, and now it's already delivered. Great job @RGBMap_
Congrats ๐
We built our new Wallet using the SDK from @utexocom , I highly recommend them as have excellent docs with interactive AI
We are already hashing on Signet with full release dropping soon
#USDT thats interoperable and can be swapped for Bitcoin is how we deploy...............
We are too early for Bitcoin only payments in real business but works in micro hobby economies and Bitcoin Tourism
We must begin the next phase of real business.......
#mustdeploy
@bitfinex @tether @RGB_Hub @giacomozucco @VIhnatiuk @asobitcoin
All roads lead to Bitcoin.
USDt's relaunch on Bitcoin runs on infrastructure @utexocom and @RGB_Hub have built. RGB is the settlement layer making it possible.
@RGBAssociation
xitter.cf/utexocom/status/210312โฆ
USDt's relaunch on Bitcoin runs on infrastructure @utexocom and @RGB_Hub have built. RGB is the settlement layer making it possible.
@RGBAssociation
xitter.cf/utexocom/status/210312โฆ
The world is waking up to the power of RGB on Bitcoin โ๏ธ
Most "Bitcoin smart contract" solutions force bad compromises:
โ Federated multisig honeypots
โ Expiring virtual UTXOs
โ Mempool bloat & altcoin gas tokens
We took a different path with BitTasker. ๐ ๏ธ
By leveraging RGB client-side validation & Taproot UTXOs as cryptographic single-use seals:
The state machine executes 100% locally inside the app on your own hardware
โข Zero data bloat on the Bitcoin blockchain
โข Absolute self-sovereign spend authority
Smart, programmable escrow secured by pure native Bitcoin. Run it straight from your phone or laptop like any native app. No bridges. No federations.
Includes #USDT on @lightning
Full release dropping soon. ๐ง
@Bitcoinbeach @utexocom @RGB_Hub @RGBAssociation @whbitcoin @paoloardoino @giacomozucco @mir_btc @bitcoinofficesv @VIhnatiuk @Namaskaram_Luca @birk1907 @Kurcide @mikegermano @michelleweekley @romanmartinezc
The same thesis we've held since 2012.
xitter.cf/SimplyBitcoin/status/2โฆ
JUST IN: Bitfinex CTO Paolo Ardoino says, "Bitcoin is the greatest currency that was ever created."
He explains how Bitfinex Securities is using the ideas and technology behind Bitcoin to create more access and democratize the broader financial industry.
Watch the full interview ๐
youtu.be/lB012oPhfTU
uinmyworld๐ง๐ฟโโ๏ธ retweeted
Most financial infrastructure is built around moving claims. Settlement is what makes those claims final
Thatโs why blockchains become interesting when they can reduce the distance between ownership, transfer and settlement
The technology matters less than where it removes friction from the existing system
uinmyworld๐ง๐ฟโโ๏ธ retweeted
EPIK morning frens๐ฆ
As we approach the final hours before the $EPIK airdrop snapshot for stakers, @RektMkts Pro users, @yeet users, and the top 250 content creators.
Thereโs still time to check which criteria you can complete and hop in before the snapshot.
Also, donโt forget the claim goes live on Tuesday, September 1st.
Time TBA.
Follow @rektmando and turn on notifications ๐
So you donโt miss any info.
Keep an eye on @educkcoin for official announcements as well.
D2AB ๐ฆ
๐ค Made with AI
uinmyworld๐ง๐ฟโโ๏ธ retweeted
PROOFPULSE โ When Cysic's Network Has a Heartbeat, Who's Listening?
What if you could see the pulse of Cysic's proving network?
Mid-testing, I got a real answer: this thing caught something on its own. No one triggered it, no one staged it. The network genuinely had zero new tasks show up in one polling interval, and ProofPulse flagged it CRITICAL (in plain English), backed by real numbers. That's the moment I knew this wasn't just another dashboard.
ProofPulse is a network intelligence layer built to turn raw @cysic_xyz activity into something more valuable: signals.
It runs on a simple three-stage flow :
DATA โ EVENT โ SIGNAL:
๐ข Noise โ normal fluctuation, ignored
๐ก Event โ something meaningfully shifts
๐ด Signal โ the change is real enough to deserve attention
ProofPulse is the observability layer.
Cysic Signal is the intelligence engine inside it.
Together: ProofPulse shows the pulse. Cysic Signal tells you what it means.
And it's honest about what it doesn't know yet,
No fake baselines, no invented AI confidence scores. If it hasn't collected enough real history, it says exactly that: "baseline building, 7/12 observations collected." Most tools would rather fake it.
The system is built around two realities of network data:
Historical data can establish a legitimate baseline immediately, while snapshot data has none,
So ProofPulse begins recording it from day one and honestly shows its progress until enough real history exists.
This isn't a pitch for something that could exist. It's live, deployed, and proven,
a full-stack intelligence system built with:
= Real Cysic data
= Backend data collection
= Historical baseline analysis
= Rule-based anomaly detection
= Cysic Signal classification
= Evidence-driven explanations
= Signal history and timelines
Not claims. Not roadmap items. Live right now:
Built on Cysic's real infrastructure, pulled directly from cysic's own live GraphQL and REST endpoints, discovered before a single line of code was written.
Deployed on Fly.io, and its data survived both a restart and a full server rebuild, unchanged
Built with CyOps
Cysic engineering tool, pointed at it's own network
The vision:
As Cysic evolves toward a larger verifiable-compute network, observability becomes increasingly important.
ProofPulse is designed around one question: what if decentralized compute could explain its own behavior? The result is a system that can eventually help make network performance, reliability, demand, capacity, and anomalies easier to observe and understand.
Cysic is building the infrastructure for verifiable compute. As it scales, one question matters more every day:
When the network is alive proving, verifying, evolving in real time,
Who tells us when its heartbeat changes?
ProofPulse does. ๐ซ
proofpulse-frontend.fly.dev/
@cysic_janitor @ROCKST4R @kane_120 @paulindosz
Good morning chattttt!
Today is blessed!
And I'm super excited to ship something for @cysic_xyz ComputeFi network that I'm genuinely proud of.
It watches real network activity, learns what "normal" looks like on its own, and calls out the moment something actually changes, no fake data, no fake confidence scores, ever.
Full breakdown incoming. ๐
@ROCKST4R @cysic_janitor
uinmyworld๐ง๐ฟโโ๏ธ retweeted
๐จAxis Community AMA Key Notes
We had an insightful call, anchored by @plpiaoliang and below are the takeaways
๐ฐPARTNERSHIP
- @boosterobotics : New collaboration tasks will be coming to the hub soon.
- @openroboto : Axis has officially partnered with OpenRoboto.
- Base App: Axis made it to Top 3 on Base App.
๐ฐTASKS & POINTS
- Batch Sign: Batch signing is now available on the Hub.
- Alliance Rewards: Contributors who did alliance task can claim their BitRobot airdrop rewards.
- Access Codes: Codes will continue to be used as rewards for future partnership tasks, ensure you keep yours.
- Post-Training Tasks: These will earn more points than pre-training tasks, but access will be limited.
- X Integration: Link your X account to the Hub to earn points and badge.
๐ฐCOMMUNITY & REWARDS
- Discord Points: The current Discord point system ends next week, except for newly integrated regional communities.
Community roles can now be earned through nomination by regional leaders.
- Gas Raffle: Weekly gas-fee raffles will be held every Saturday as a way to give back to the community.
๐ฐCAMPAIGN UPDATES
- Kaito: Only new contents and referrals will count toward multipliers.
- Binance Wallet: Now integrated with Axis, with new points allocated to the campaign.
- Binance Alpha: There will be no Binance Alpha campaign.
























