
Crypto | reply girl💗| @IThinkItsArt
Right here
Joined September 2024
- Tweets253K
- Following7.6K
- Followers14.1K
- Likes29K
Lira retweeted
What if you could access liquidity without having to give up exposure to the assets you hold?
That's one of the interesting ideas behind what @strato_net is building
STRATO allows users to mint USDST against supported collateral, creating a way to access liquidity while keeping exposure to their underlying assets, subject to the protocol's terms
And this isn't just an idea on paper. According to its DeFiLlama snapshot, STRATO already has around $4.69M in active loans, showing that borrowing is becoming an actual part of its ecosystem
What makes this more interesting is how it connects with tokenized assets like GOLDST and SILVST. Gold and silver aren't limited to being digital representations sitting in a wallet. They can become part of a broader financial system involving borrowing, trading, and savings
There are still borrowing fees and liquidation risks to consider, but I like the direction here. STRATO is trying to make real-world assets useful beyond simply owning them
🤖 Made with AI
NO MORE SEARCHING AROUND
JUST ASK 💬
A community built together should always have its doors open
We’ve added a new CONTACT feature to ITIAverse!
Got questions?
Need help navigating the platform?
Have something you’d like to share?
You can reach out directly through our website & send a message or start a chat family
No questions left unanswered
No voices left unheard
Because ITIA is about building a place where everyone belongs 🌹
Our doors are open
Our community comes first
I Think It’s Art 🤍
I Think It’s Yours🖤
ITIA WORLD CONTEST
THE WORLD IS OUR GALLERY.
Where would ITIA hang in your city?
Show us! No limits. Your vision.
🏆 5 Winners | 5x $30
HOW TO ENTER:
~ Like & RT
~ Drop your creation below or QT
~ Add proof for real-world placements (video or extra angle)
~ Use #SpotITIA
⏳ 7 DAYS
YOUR CITY. YOUR COUNTRY. YOUR ART.
Lira retweeted
Building infrastructure is one thing. Getting other businesses to actually use it is another
That's the part of @turtledotxyz's Q3 update that caught my attention
Hare and Lunar Strategy are named as the first two businesses outside Turtle running on its tools. This is an interesting milestone because it shows the infrastructure isn't only being developed for Turtle's own operations
Hare launched with GSR, with 100M committed over several years. Meanwhile, Creator Wire shipped in late August and Streams moved to self serve. Different pieces, but all contributing to a broader distribution system
I think external adoption is an important part of the infrastructure story. A product can look great on paper, but seeing independent businesses put its tools to work gives you a much better picture of its practical value
That's what makes this development worth following. Turtle isn't just building tools for an ecosystem. It's starting to give other businesses a reason to build on the same rails
Lira retweeted
The model is not the video. The model is what the video becomes after the orbit is accepted
A contributor walks the named place and films a short orbit. The content hash, coarse location, and timestamp are recorded at the moment of capture. Once the requester or the agent accepts a submission, reconstruction starts. The output is a textured GLB mesh (and a zip of the supporting files) that appears as signed links on that submission. The board notes that reconstruction can take over an hour. The full raw capture remains available to the buyer as well, but the deliverable the system is built around is the model
@vangrid_io anchors the origin of that model before the mesh exists. The fingerprint is written while the video is still being recorded. The root of the batch is anchored on Base. When the GLB is ready, a third party can check that the delivered model corresponds to a capture whose hash and timestamp were already committed, rather than trusting that the file was produced from the right place at the right hour. The reconstruction does not invent geometry that was not in the orbit. It turns the orbit into a mesh that can be inspected, measured, and loaded into the tools that consume spatial data
The separation matters for both humans and agents. A human buyer on the board accepts a preview and later receives the model. An agent that posted through the API accepts a submission_id and later pulls the model_glb_url from the same GET endpoint. In both cases the escrow has already released, the reconstruction has run, and the on-chain root is already public. The buyer does not need to run photogrammetry locally or trust an opaque upload. The pipeline is the same whether the requester clicked a button or sent an HTTP call
What arrives is therefore not another video of a loading dock or a stairwell. It is a mesh of that specific volume, produced from a fingerprinted orbit, available after acceptance, and checkable against a public ledger. The time between acceptance and a ready model is measured in hours, not days of scheduling a survey crew
If you needed a usable 3D model of one specific site rather than another video of it, would you start with a raw clip and process it yourself or accept a submission and receive the GLB once the reconstruction finishes?
🤖 Made with AI
Lira retweeted
A massive movement is already taking shape
You either choose to be part of it or stay sidelined and watch everyone else make history 🤷
Only 11 days left before the doors close ⏰
If you’re thinking about joining, the best time was yesterday 👀
gPrimus Everyone ! 🧡🟠
the hard part of trusting an Ai agent isn't the output .
it's the steps you didn't see
an agent can hand you a perfect looking trade and still have skipped the oracle, used stale data or never called the model at all
same output , totally different story!
the useful observation in the @primus_labs 📙
docs: almost every agent step is an api call over https .
LLM endpoint , price feed , exchange! all TLS!!!
so you dont need a new agent architecture . you add zkTLS at the critical calls
each proof captures the endpoint , the request fields that matter and the key response values , without leaking keys or the full session
then a contract or verifier checks the policy. did it query the oracle before the trade, in that order, with a valid response . only then is the output accepted
my honest caveat . this proves the agent did the steps and saw real data. it doesn't prove the decision was smart . receipts , not judgment!!
still , receipts are exactly what agents are missing right now
s.kaito.ai/1c1DkRo




























