building @constantunits || creator. || space host. || contributor @RialoHQ
Earth
Joined October 2023
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Rita Crypto Tips retweeted
as agents become real crypto users, they’ll need a way to settle disputes onchain, with no human to call
@tokenpost wrote up what we’re building at @GenLayer
tokenpost.com/news/technolog…
Rita Crypto Tips retweeted
gm all ....
let's assume a DeFi lending protocol wants to know whether a user exchange account balance has exceeded $10,000.
the information is stored on a centralized website, but the final decision must be made on the blockchain without requiring the user to disclose all their account information.
this is where the infrastructure provided by @primus_labs becomes valuable.
however, generating a valid proof does not depend on cryptography alone, several different steps must work correctly for web data to become a trustworthy input for a smart contract.
the first step is establishing a valid session. the user logs into the website with their own account, and a secure TLS connection is established.
using zkTLS, Primus attempts to prove the information received through this connection in a verifiable way, without requiring the website's cooperation or changes to its infrastructure.
in the next step, the required field, such as the account balance, must be correctly extracted from the web response.
Primus supports two methods, MPC and Proxy, which differ in terms of speed and trust assumptions.
if the field is extracted incorrectly or the session is not processed properly, even a cryptographically correct process will not necessarily produce the result the application needs.
in the third step, the proof must demonstrate that the data came from the intended source and has not been tampered with.
Primus also uses TEE to protect the execution integrity of the Attestor software. however, this layer does not eliminate all trust assumptions; the security of the TEE and its supporting infrastructure also matters.
the contract must verify the proof and use the result according to the application's logic. if the contract validation is incomplete, the wrong field is checked, or the data is no longer valid for the intended decision, the correctness of the previous steps alone is not enough.
this is the key point, the validity of a system does not depend solely on the strength of its cryptographic proofs, but also on the correctness of the entire process of generating and using those proofs.
to evaluate this kind of infrastructure, we need to examine not only protocol security, but also the correctness of data extraction, trust assumptions, contract implementation, and system behavior under failure conditions.
s.kaito.ai/7F6dI7N
happy sunday all :)
in cryptography , a mathematical proof of an idea can be a major achievement, but several important questions remain before it can be used in a real product.
does the method work correctly under practical conditions ???? how much does it cost to run ?? and can developers and users work with it without unnecessary complexity ??
this distinction is especially important for projects like @primus_labs , because the value of technologies such as zkTLS does not depend solely on the correctness of their cryptographic foundations, but also on the quality of their implementation and how they perform in the real world.
the first criterion is implementation. a paper may explain the security of a protocol under specific assumptions, but the implementation must preserve those same properties in actual code.
details such as error handling, communication between components , and unusual conditions can affect the outcome.
the second criterion is measurable performance. without independent and reproducible benchmarks, it is difficult to judge the speed, computational cost, or scalability of a solution with confidence.
even if a method is efficient in theory, it may have limitations in real world applications.
the third criterion is auditing and operational use. an audit can help identify vulnerabilities within the scope of the review, but it does not guarantee that the entire system is free of flaws.
similarly, releasing a product or running a test implementation does not , by itself, demonstrate that the service is reliable at scale and over the long term.
to evaluate Primus, it is better to examine these forms of evidence separately , scientific research, code and implementation , independent test results, and evidence of sustained use in real world products.
the main point is this: a scientific paper shows that an idea may be theoretically sound, but product readiness requires more evidence.
the true value of a technology becomes clearer when its performance, cost, security, and reliability can be measured under practical conditions.
Rita Crypto Tips retweeted
frontend or backend, which do you build first?
for me, i start with the backend and testing first, but i enjoy building frontend.
the app in this image is the @ConstantUnits frontend.
[video prompt 👇]
🤖 Made with AI
Rita Crypto Tips retweeted
What if a Ponzi was turned into a game where everyone knows FOMO is part of the plan?
This is exactly what @fomopoly_rh is shipping.
Players buy and trade land plots that generate stocks and $DEAL tokens.
Land starts cheap, then gets more expensive as the game progresses.
The earlier you get in, the better your position could be. But as prices rise, latecomers face a bigger entry cost, and everyone has to wonder how long the demand will last.
It’s a game built around greed, timing, and the fear of missing out.
The real question is, who gets out ahead when the music stops?
🔗 rarelist.io/r/phamartology
Rita Crypto Tips retweeted
Fresh week, fresh energy, and more building with @rarelistio.
I’m exploring four campaigns this week, each with a different concept.
✅ 1. Project Sphere @projectspherexy
Inspired by the Kardashev Type II civilization, Project Sphere explores a future where civilizations could harness the energy of an entire star. An interesting concept around energy and the future of civilization.
✅ 2. Fomopoly @fomopoly_rh
An onchain city-building game where land plots play a central role and generate $DEAL. I’m interested in seeing how the gameplay and economy develop.
✅ 3. Agent Dojo @agentdojo
An arena where AI agents train, evolve, and compete. It’s an interesting project to follow as AI and autonomous agents continue to develop.
✅ 4. Rarelist Season 1 @rarelistio
A creator-focused campaign that rewards eligible contributions with RARS and gives participants a chance to climb the leaderboard. According to the campaign details, RARS is expected to convert into $RARE later.
What I like about these campaigns is the variety. From ambitious ideas about civilization to onchain gaming, AI agents, and creator rewards, each offers something different to explore.
My focus this week is simple:
Research more. Create meaningful content. Stay consistent. Keep improving my position on the Rarelist leaderboard.
No shortcuts and no unnecessary rush.
Just learning, building, and making steady progress one post at a time.
frontend or backend, which do you build first?
for me, i start with the backend and testing first, but i enjoy building frontend.
the app in this image is the @ConstantUnits frontend.
[video prompt 👇]
🤖 Made with AI
<inputs>
Ask me for: my landing page link, my brand name and logo mark, a two-part closing line (a statement, then a short italic tail), and a 15 second track (optional).
</inputs>
<direction>
A 14.5 second 3D fly-over of my landing page, 1440x1152 at 60fps. The page lies flat on a bright studio floor (#f9fbfb in the middle, #f2f3f6 in the corners) with a soft wide shadow around it and 24px rounded corners. One continuous camera, never a cut: it starts low over the hero and glides backwards down the page at one steady speed while looking up it, rises straight overhead to show the whole page as one strip, dives into the hero and lands it as a card under a two-line title. Focus is razor thin in front of the subject and almost none behind it, so everything near the lens melts. Cards float a little above the page with soft shadows; photos, chips and the testimonial lift off and stand up toward the lens as the camera passes them. Four small tiles of my logo lift off beside the hero button and stay with the film until the end card. The title is Geist 500, the italic tail Instrument Serif.
Banned: cuts, crossfades, stops or surges in the glide, the camera turning or swinging sideways, zooming in and back out, glows, any text laid over the page before the end card.
</direction>
<structure>
14.5 seconds: flight 0-8.2s, rise 7.75-9.25s, overhead 9.25-9.47s, dive 9.47-9.97s, title card 9.97-14.5s.
The camera 56° off straight-down and 1360px from the point it looks at, centred on the top half of the hero, the phone or product mockup sharp, four 32px logo tiles beside the button → 0-0.6: the glide eases in from rest → 0.1-1.35: the tiles lift, grow to 140-200px and hang just outside the page's top corners while the hero's chips rise to 60-80px and stand up 30° → 1.25-1.6: the glide doubles to cruising speed as the hero falls behind → 1.6: the second section's title passes the centre of the frame, its photos blurred near the lens → 1.35-2.7: that section's main photos lift to 100-130px and stand up 46°, two of its chips fly up to about 200px, stand up 54° and pass the left and right edges at 2.5 → 1.2-2.4: the tiles trail the camera 300px down the page, then drift out of the top → 3.0-7.3: every following section passes through at the same steady speed, each one sharp as it crosses the middle of the frame and soft below it; a logo tile drifts past the left edge close and blurred at 5.4 → 5.45-6.3: the testimonial card rises from 22 to 112px, stands up 30° and shows a 34px white edge → 7.3-8.2: the glide eases off as the footer arrives, the footer title sharp at 8.0 → 7.75-9.25: the rise, zooming out at an even rate while the tilt flattens (8.15-8.95) and the page's bottom edge settles 42px above the frame bottom → 9.25-9.47: the whole page as one centred strip, creeping 3.5% closer → 9.47-9.97: the dive, the page's top edge pinned to the frame top while it grows, everything below the hero fading out, then the top drops to y 283 so the hero lands as a 1018px wide card with 38px corners and a soft shadow; two logo tiles sit on its top corners, one crisp at the right edge, two huge soft blurs drift in at the bottom corners → 10.02: a white badge pill (logo + brand, 21px) fades in at y 44 → 10.12: line 1 at 74px, one word every 0.06s → 10.36: the italic tail at 82px in grey #8b8b92, one word every 0.05s, each word rising 16px out of a 12px blur in 0.34s → 10.6-14.5: hold, the card creeping 2% closer, the tiles drifting a few px.
</structure>
<build>
1. Open my link in headless Chromium (Playwright) at 1440px wide, device scale 2, and scroll to the bottom once so lazy images and scroll animations finish. Mark the pieces that lift (cards, phone or product mockups, chips, feature photos, the testimonial, the hero button) with data-layer. Screenshot the full page with them hidden, then each piece alone on a transparent background with 28px padding, and save every piece's page position to a JSON.
2. One WebGL2 film page, 1440x1152, every frame computed from time inside seek(t): no timers, no CSS transitions. The page is a textured quad on the floor and each piece its own quad at its height, drawn lowest first with no depth buffer. Use mipmaps and 16x anisotropic filtering or the far text shimmers.
3. Drive the camera from one speed curve, never from a position key every half second. Focal length 1880px, 56° tilt, distance easing out from 1360 to 1700px and never back in, no turning. Speed down the page as a share of cruise (cruise is about 770 page px/s): 0 at 0s, 0.5 by 0.6s, held at 0.5 to 1.25s, 1.0 by 1.6s, held between 0.94 and 1.1 to 7.3s, then easing to 0.12 by 8.3s. Integrate it into the page position.
4. Depth of field per pixel: blur radius = 75 x (focus - depth) / depth in front of the focus and 6 x (depth - focus) / depth behind it, capped at 120px, 40 taps on a golden-angle disc, each tap read from a mip level matched to the blur. Keep the focus on whatever crosses the middle of the frame.
5. A lifted piece stands up by turning about its own middle, top edge rising toward the lens. Each casts a shadow on whatever is under it: the same picture in flat #1a2133, offset (0.10z, 4 + 0.36z), blurred 7 + 0.5z, 26% opacity.
6. Rise: zoom out in log scale with a smooth trapezoid speed (speeding up 7.75-8.35s, even 8.35-8.95s, slowing to a stop at 9.25s) and hand the glide over to a camera that holds the page's bottom edge at that 42px line from 8.3 to 8.65s. Dive: log scale on a quadratic ease in-out, then solve the look-at point from the pinned edge. A rounded-rect mask morphs from the full page to the hero, 24px to 38px corners.
7. Render with Playwright on the real GPU (--use-angle=d3d11 --enable-gpu --ignore-gpu-blocklist): 60fps, 16 subframes across 0.7 of a frame for motion blur, H.264 MP4. The track's hit goes on 9.97s, whooshes on 8.66 and 9.80.
</build>
<gotchas>
If you can't run code on my computer, tell me straight away that you can only make a live preview here and that the MP4 needs Claude Code. Phones or cards that fade out with transparency show whatever is behind them, so fade them into the haze colour first and only cut to transparent at the very end. Keep most lifts tiny (20-40px) and lock the page before timing anything, because any change in a section's height shifts everything after it. Before the final render, measure a quick 30fps preview with optical flow: the speed down the page must never dip and the zoom must never turn into a zoom-in during the flight.
</gotchas>
<start>
Ask me for the inputs, capture my page, then show me stills at 0, 1.6, 2.5, 5, 6.5, 9.3 and 11 seconds before you render.
</start>
Rita Crypto Tips retweeted
Pantera Capital is talking about tokenized assets and AI agents taking on more commercial activity.
But if agents are going to carry out transactions, we need to talk about the limits of what they can do...
An agent having the ability to transact doesn't mean it should have unlimited access
𝗧𝗵𝗮𝘁’𝘀 𝘄𝗵𝗲𝗿𝗲 𝗟𝗮𝘁𝗰𝗵 𝗰𝗼𝗺𝗲𝘀 𝗶𝗻.
It lets us define what AI agents are allowed to do, set boundaries on their permissions, and track the transactions they carry out.
At @RialoHQ’s Oct 7 Builder Hub, we saw a project tackling one of the key questions around AI agents: how to define their permissions and track their transactions.
𝗣𝗮𝗻𝘁𝗲𝗿𝗮 𝗼𝗻 𝘁𝗼𝗸𝗲𝗻𝗶𝘇𝗲𝗱 𝗮𝘀𝘀𝗲𝘁𝘀 𝗮𝗻𝗱 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 👇
youtu.be/MFx-15p-7P0?si=z0-K…
Rita Crypto Tips retweeted
we've said a lot about @primus_labs, its zkTLS technology and how verifiable computation works
so i decided to build and test something myself to see how these pieces work together in practice
the homepage brings two key components together: zkTLS attestation and DVC computation
zkTLS can verify data from websites
DVC is meant to pair that with zero-knowledge computation… proving a condition without exposing the underlying information, like proving a bank balance meets a threshold without revealing the exact amount
although as of now, the computation service isn't connected yet, so this is the goal not a live feature yet
i've built the initial interface to explore both stages, and now i'm working towards testing it
there's more to do before i can demonstrate the full process
i'll share what works, what needs fixing and what i learn as i build
Rita Crypto Tips retweeted
Data is everywhere, but what kind of data is more useful to AI companies to create an efficient model or sustainable agentic system ?
Before the advent of AI models, early founders of computer like Ada Lovelace, manually wrote long lines of programmes to the hardware of the computer for one purpose only , that purpose is "instruction".
AI agents needs direct instructions from humans, not just a script generated by another AI model. Just as it is impossible for a kid at middle grade school to teach another kid in the same class, so does the need for direct impaction of the source information (Real-World data) arises.
But how are we sure that these data is truly from the real world source, we can only find out by platform such as @datafdn , which ensures that there is a verifiable record of where the data came from and under what terms it would be distrubuted. Not to mention that this verified data is actually licensed.
Data Network has now been backed by Sui native protocol, in partnership with @SuiNetwork and a funding of $30 million to enable AI labs to get a guaranteed source of rights-cleared AI training data with verified provenance.
On this cause, $DATA will continue to be the token of the Data protocol and @WalrusProtocol will serve as a underlying storage system for these licensed and verified Real-World Data.
#DATAonSuiQuest
Rita Crypto Tips retweeted
⊢ new week and it's a big week for privacy:
- today: @0xMiden partner mainnet goes live. some bread waitlist users get access.
- oct 29: @ship_armada's crowdfund closes.
armada is raising funds for its privacy protocol through a crowdfund.
they've already raised $500k.
you contribute usdc at $1 per $ARM
the money stays in the protocol treasury, and ARM holders decide how it's spent and what happens with protocol fees from day one.
🎟 got 2 invite codes if anyone wants one.
- nov 2: cypherpunk congress in mumbai by @web3privacy
- nov 5: the end of $zec's sprout pool.
and personally i'm still waiting for @citrea_xyz's crest launch.
Rita Crypto Tips retweeted
What if the biggest weakness in crypto isn't the cryptography itself, but how difficult it is to replace when the world changes?
That’s an interesting problem @Starknet is exploring.
STARK proofs use hash-based cryptography, while programmable accounts make it possible to introduce new signature-verification methods without a network-wide upgrade.
The goal isn't to claim quantum threats are already solved. It's to build with adaptability in mind.
But here's the question I keep coming back to:
When cryptography eventually needs to change, will the hardest part be upgrading the technology or getting millions of users, wallets and applications to move with it?
Curious to hear what @StarkWareLtd thinks about this.
Explore the research: quantum.starkware.co/
Rita Crypto Tips retweeted
Not every Web3 platform is just about finding the next airdrop.
@rarelistio is making it interesting by connecting early-stage projects with creators who can help them grow.
You discover new projects, create content, climb leaderboards, and compete for rewards like USDT, airdrops, free mints, and whitelist spots.
What caught my attention is the opportunity to turn the content we already create into something more valuable.
If you’re active in Web3, Rarelist is worth keeping an eye on.
Happy new week mortals 🫶
🔗 rarelist.io/r/phamartology
Rita Crypto Tips retweeted
Day 89 on @get_optimum
(my weekly optimum insight)
Have you ever wondered what actually holds back blockchain performance when networks get congested?
Now, after watching a recent interview at TOKEN2049 in Singapore between David from GenZio and Optimum co-founder Professor @MurielMedard , a few major points really stood out about where Web3 networking is heading.
First, let's talk about the real bottleneck in blockchain performance.
People often assume compute power is what holds networks back. But compute is rarely the limit today. The real bottleneck is data delivery speed, getting transaction and block data across globally distributed nodes fast enough.
When an Ethereum validator proposes a block, it has to complete attestations and consensus paperwork within a strict time slot. Because data propagation takes time, validators spend a large portion of their slot just waiting for data to travel.
And that waiting time takes away from what they actually want to do, like capturing higher MEV bids or processing more transactions.
Now, this is where Optimum and Random Linear Network Coding come in.
In traditional networks, for nodes across different continents to coordinate, they must constantly send messages back and forth. But in a network with thousands of nodes, sending coordination data simply does not scale.
Optimum solves this through RLNC math at the transport layer.
Instead of needing central coordination, nodes act locally and independently to send coded mathematical equations. And because of the underlying linear algebra, those local actions mathematically guarantee optimal global data delivery without extra network overhead.
Professor Muriel Médard also shared key updates on where Optimum is today: 👇
First, following testing on the Holesky testnet with major institutional partners, Optimum’s mump2p protocol officially launched on Ethereum mainnet just days ago.
Second, they are already boosting data performance for over 1.4 million staked ETH, representing nearly $4 billion in network value.
And finally, to support this global delivery, Optimum relies on Flexnodes. Unlike full validator nodes that require high compute and large storage, Flexnodes focus purely on data routing and recoding with very low hardware requirements, allowing community participants to run them and support the network.
So, to summarize everything, compute isn't the limit, data transit speed is.
Optimum uses RLNC math to eliminate network coordination overhead, and Flexnodes allow anyone to power low latency block propagation on Ethereum mainnet.
And that is the core of Optimum's mission
🤝 Paid partnership
Here’s everything you need to know about the @get_optimum NFTs
1. What Are TurboCards? 👇
Commemorative NFT Collection: It is a limited collection of 999 NFTs celebrating Optimum’s official Mainnet Launch on Ethereum.
OnChain Proof of Speed: Each NFT isn't just random art, it is tied to a real, historical Ethereum block slot where Optimum’s technology (mump2p / RLNC) accelerated the block's propagation across the network.
OnCard Data/Stats: The NFTs display real data showing how fast the block traveled and the economic edge / MEV value created by delivering that block faster.
2. How to Access and Mint 👇
Access Code Gated: You cannot just go and mint immediately, you need an access code to claim one.
Free Mint: The mint is 100% free for those who hold an access code.
Distribution Channels:
Some codes are sent directly to early supporters.
Other codes will be dropped publicly on X and Discord.
First Drop Date: The first batch of codes drops this Friday, October 23rd.
FCFS : Having a code doesn't guarantee a mint if you wait too long, you have to claim quickly once the codes go live.
3. Why This Matters for Optimum👇
Mainnet Validation: It marks Optimum’s transition from testnet and research to live, production level mainnet execution on Ethereum.
Data Visualized as Utility Art: It turns raw network infrastructure metrics (block propagation speed and MEV capture) into collectible proof of Optimum’s performance.
Rita Crypto Tips retweeted
Gm and happy new week ct
One particularly interesting idea behind @RialoHQ is supermodularity.
In simple terms, capabilities can become more valuable when they work together.
External data becomes more useful when applications can react to it automatically.
Automation becomes more powerful when it can interact with real-world services.
Identity becomes more practical when users can access applications through familiar experiences.
Privacy becomes more valuable when confidential processing can support real financial and business workflows.
Instead of treating these as isolated features, Rialo’s approach is to design an environment where they can reinforce one another.
That combination could help developers build applications that are more capable without forcing every team to assemble the entire infrastructure stack independently.
The real opportunity is still ahead.
No blockchain can claim mainstream adoption simply because its architecture sounds promising.
The real test is what developers build, whether the infrastructure performs reliably, how security is handled, and whether actual users find the resulting applications useful.
Rialo still needs to demonstrate its vision through real applications, meaningful adoption, and dependable execution at scale.
But the problem it is trying to solve is worth paying attention to.
The industry has spent years improving the machinery behind blockchain.
The next challenge is turning that machinery into something people genuinely want to use.
My takeaway:
The next major blockchain breakthrough might not be the chain that processes the most transactions.
It might be the infrastructure that makes decentralized applications feel as natural as opening your favorite mobile app.
That is the opportunity Rialo is pursuing: connecting blockchain capabilities with real-world services, better developer tools, privacy, and more intuitive experiences.
Because the ultimate purpose of infrastructure isn’t to impress people with how complicated it is.
It’s to make new things possible.
Rialo isn’t just about putting assets onchain. It’s about creating the foundations for applications that can actually work with the real world.
And that is a much bigger conversation than speed alone.
@ericargent31113 @0x_alextine @dfwdora
🤖 Made with AI
Transparency has been one of blockchain’s greatest strengths, but it also creates challenges.
Not every financial detail, business record, identity attribute, or institutional transaction should be exposed to the public.
At the same time, applications need ways to verify that rules have been followed and outcomes are legitimate.
@RialoHQ focus on confidential execution addresses this tension.
The idea is to support applications that can process sensitive information while preserving the ability to verify relevant results.
This could be important for financial services, institutional workflows, identity systems, and applications that handle private user information.
For blockchain to become useful beyond speculative trading, privacy cannot remain an afterthought.
It needs to be considered as part of the infrastructure itself.
Developers need fewer moving parts.
Behind every smooth application is a complicated engineering process.
Developers may spend considerable time connecting services, maintaining indexers, managing automation, handling external data, and coordinating different infrastructure components.
That time could otherwise go toward improving the actual product.
Rialo’s architecture aims to bring more essential capabilities into a coordinated programming environment.
Its emphasis on real-world connectivity, reactive execution, privacy, and developer ergonomics is about reducing the distance between an idea and a working application.
When developers have better tools, they can experiment faster, build more expressive products, and spend more time solving problems users genuinely care about.
That is a more meaningful measure of progress than transaction throughput alone.
What could this mean for everyday applications?
The possibilities extend well beyond trading tokens.
• Payments: transfers that follow predefined conditions or schedules.
• Decentralized finance: applications that respond to changing market conditions and external information.
• Real-world assets: tokenized assets supported by relevant data and automated workflows.
• Digital identity: services that connect familiar identity experiences with decentralized applications.
• AI agents: automated systems that interact with services, coordinate tasks, and potentially execute financial operations.
• Business infrastructure: applications that combine external services, private information, and verifiable onchain execution.
These are potential directions for applications built with such capabilities, not a claim that every example is already live on Rialo.
The bigger opportunity is that developers could explore entirely new products when these building blocks become easier to combine.
@ericargent31113 @0x_alextine @dfwdora
Rita Crypto Tips retweeted
Just joined @rarelistio Season 1.
The Web3 creator economy is evolving, and Rarelist is creating opportunities for creators through content, consistency, and community engagement.
I'm joining the journey, exploring the ecosystem, and looking forward to contributing original content.
→ $50,000 prize pool announced, creato
→ focused campaigns and more opportunities to grow in Web3.
Time to get active and see where this journey leads.
Use my referral link if you want to check it out:rarelist.io/r/Julzcrypt
