Jess the little ninja cat | Content Writer @injective Supporter 🥷
Joined September 2025
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- Following1.2K
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Jess ⛩️ retweeted
Elon sampe terkesima
Google udah ngedrop lagi model ai baru, Gemini 4 Carbon, dari benchmark si keliatan buat ngunggulin astra, bahkan model ini lebih pinter dari Gemini 4 Argon sebelumnya
Tapi harganya lumayan mahal $4 per 1M input dan $20 per 1 M output, model ini di klem lebih cocok buat cyber security
Jess ⛩️ retweeted
Your wallet has a history. But does that history actually work for you?
Every swap, trade, lending activity, and interaction leaves a record onchain.
The problem is that most platforms see transactions, not the person or behavior behind them.
That's where @zerufinance comes in.
Through zScore, ZeruAI analyzes wallet activity to build reputation signals that protocols can use for credit decisions, access, and reward allocation.
And with Zaps, that same focus on real activity extends to communities and contributors.
The bigger idea is simple:
Your onchain history shouldn't just be a record of what you've done. It could help determine the opportunities you qualify for next.
That's the part of ZeruAI I'm watching closely.
More research to come.
🤝 Paid partnership
GM, CT.
35M monthly users across 12 trading platforms, and the reported loss rates raise an important question.
Where does all that trading activity create value, and who gets to benefit from it?
Activity Markets explores a different approach, connecting verified onchain activity to miner and creator rights while letting traders determine what the market is worth.
Meanwhile, @zerufinance is working on another important piece of the onchain puzzle: wallet intelligence.
Through ZeruAI, wallet age, funding patterns, and onchain behavior can help projects better understand wallet quality and identify potential Sybil activity.
One focuses on turning verified activity into participation opportunities. The other focuses on making wallet activity more meaningful and useful.
Both raise an interesting question about how onchain data can create value beyond simply recording transactions.
The opportunity lies in building systems that reward meaningful participation and make better use of the information blockchains already provide.
I'm watching how both approaches develop.
More research to come.
Jess ⛩️ retweeted
Been looking into how agent roles work on @termix_ai and one detail caught my attention.
The identity stays the same but the role can change depending on the job.
An agent can create a task in one transaction and take someone else's task in the next.
I checked the docs and the buyer or seller role is not permanently attached to the profile. It only applies to that specific transaction.
That feels a bit different from the usual marketplaces where your role stays fixed.
It also makes the system more flexible, especially when agents can interact with each other in different ways.
What i am still curious about is how the protocol handles the stake when an agent switches from posting jobs to accepting them.
Does @termix_ai keep the same stake locked across both roles or does each new transaction require a separate stake?
🤝 Paid partnership
Jess ⛩️ retweeted
getting started on vangrid (@vangrid_io ) is deliberately straightforward
everything begins at app.vangrid.io, which routes contributors into the capture flow and organisations into the bounty marketplace
the capture interface runs directly in any browser or can be installed from Google Play on Android
a wallet serves as the only form of signin →no email or password is required
an invite code is needed solely for uploading captures, while browsing open requests remains unrestricted
from there the sequence is simple: select a bounty, review its location and requirements, record the footage according to the guidance and submit before the deadline
once the requester accepts the submission, the reward is paid
the entire path is designed to move someone from first visit to completed capture with as little friction as possible
@vangrid_io
🤝 Paid partnership
Jess ⛩️ retweeted
meme launches have settled into a predictable pattern that privileges speed and private access over any record of prior participation
activity Markets reverse that filter
@zerufinance
new tokens emerge from the verified onchain activity of existing communities, so that contributors who have already demonstrated consistent behavior receive miner and creator rights
traders then determine the market’s value through their own positions
the design simply substitutes observed history for the old race to click first
activityFi is opening registration on that basis
Registrations → app.zaps.markets/markets
@zerufinance
🤝 Paid partnership
Jess ⛩️ retweeted
Two of the six invariants in the @meetmotes smart account docs:
→ the AI signer can't grant itself broader permissions than the owner approved
→ owner withdrawal never depends only on the website staying online
Those are the first lines I'd check on any agent product.
🤝 Paid partnership · 🤖 Made with AI
Jess ⛩️ retweeted
good morning
love seeing how physical AI is growing 🩷
a robot can look perfect in simulation and still struggle the moment it hits a real street. real life is messy with unexpected obstacles, uneven surfaces, weird layouts, and small details that are hard to recreate perfectly.
synthetic data is still super useful though. you can control lighting, weather, objects, and generate huge amounts of training material for rare situations without going outside. it gives flexibility and controlled testing.
but real-world captures show the actual conditions as they exist. for something like a delivery robot on a crowded sidewalk, synthetic data can give it thousands of simulated pedestrians, while verified real captures help developers understand the real layout and visual complexity of different places.
both approaches have their strengths. one offers scale and control. the other reveals the details simulations often miss.
real-world data needs careful verification, privacy protection, and quality standards, but when done right it becomes very powerful.
the opportunity with @vangrid_io is making diverse spatial observations more accessible through smartphone-powered contributions. that feels like a practical way to help physical AI developers get more real observations from actual environments.
the future of physical AI training probably won’t depend entirely on synthetic data or real-world captures. it will depend on how effectively we combine both.
the future looks bright 🤍
Jess ⛩️ retweeted
good morning
An AI trading agent can claim a strong track record, but reputation means more when others can actually verify the evidence.
thats the hard part of trusting autonomous financial agents
In traditional trading, performance reports often depend on what the trader or platform shares. Independent verification is difficult, especially when unsuccessful trades or risky decisions aren’t fully disclosed.
Onchain transparency offers another approach.
Imagine an AI agent executing trades through blockchain protocols where transactions can be recorded and examined independently.
Those records can help verify trading activity, position changes, and certain outcomes without relying only on screenshots or self-reported results.
Over time this can build a more credible trading reputation.
But there’s an important limitation. Onchain transactions don’t automatically show everything. Offchain trades, unrealized losses, execution costs, and wallet ownership still need careful consideration.
Reliable reputation systems have to turn verified activity into meaningful risk assessments, not just count transactions.
thats what makes @agenticscredit interesting to me
Theyre exploring trading performance and reputation-based scoring to help build greater trust in autonomous financial agents.
Their Agent Credit Score (ACS) ranges from 300 to 850. A score of 580+ can make an agent eligible for the funding waitlist, though it doesn’t guarantee capital.
The bigger opportunity is making financial reputation easier to verify and harder to manipulate.
Trusting an autonomous trading agent shouldn’t depend entirely on what it claims to have achieved. It should depend on the quality of evidence supporting its performance.
thats why i am watching Agentics Credit
gAgentics guys 👋
Jess ⛩️ retweeted
Early morning my bros 🥱
1/5
An identity gets more interesting when it has somewhere to belong.
Online, we’re used to profiles, usernames, and digital collectibles. They help people recognise us, but their meaning often stops at the platform where they exist. Put identity inside a network connected to real-world places, and a different question comes up: what does it actually mean to have a presence on the grid?
That’s what caught my attention about Vangrid Agents. Your identity on the grid is a simple phrase, but it opens up an idea worth exploring. Vangrid is building around real-world capture and spatial data, so I’m curious how Agents fit into that wider picture. Could identity become a recognisable layer within this ecosystem, rather than just another digital item to collect?
I’m not going to guess at features or promise utility before seeing the details. A name can sound compelling, but its real value depends on what it represents, how people interact with it, and what purpose it serves once the initial excitement fades.
The reveal is set for 30.10.2026 on @opensea, so we won’t have to wait long to see what the team has prepared.
For now, I’m interested in the concept itself: identity tied to a grid built around the physical world. Let’s see what Vangrid Agents actually bring. @vangrid_io
Good night Quipers 😴
A result can look impressive and still leave one important question unanswered: how do you know it deserves your trust?
That question matters even more when computation happens on hardware you can’t directly inspect. A number appears on your screen, but the number alone doesn’t tell you how it was produced, whether the process was reliable, or whether someone else can independently check it.
Quip Network approaches this challenge with multiple layers of result verification in its QVM design. Results are checked against classical simulation, compared through independent classical benchmarking, and linked to hardware through cryptographic attestation.
Each layer addresses a different part of the trust problem. Simulation gives another point of comparison. Benchmarking helps evaluate the output independently. Attestation connects the claimed result to the hardware involved in producing it.
None of these checks should be mistaken for a magical guarantee that every computation is correct under every condition. Their value is in making verification part of the workflow rather than asking users to accept an output on faith.
That distinction could matter as quantum computing moves beyond controlled demonstrations and into applications where people need reasons to trust what a system returns.
New computing power is exciting. Being able to scrutinize its results is what makes it more useful.
@quipnetwork
Jess ⛩️ retweeted
good morning
@quipnetwork more than just a quantum project
the deeper I look into quipnetwork, the more interesting it's visions becomes
They're building at the intersection of computing, blockchain infustrucre, and post-quantam security
Technology - connecting quantam processer
with CPUs and GPUs to create a shared computing network
Security - developing post-quantam solutions to help project digital assets against future quantums threats
Ecosystem - building tools like quickswap and qvm to expand what's possible accross quantum and classical computing
Quip is not just exploring a new technology narrative. It's working to connect computing infrastructure with the security challanges of tommorow
Jess ⛩️ retweeted
👽💜 KAV is the Alien of Solana - But Even Aliens Need Peace of Mind! 🧠✨
🔥 Your mental health matters more than your portfolio.
Feeling stressed, overwhelmed, anxious, or emotionally exhausted? What if AI could help you understand your feelings and discover simple ways to improve your day?
🌍 Today's KAV Discovery: ClearMind - AI Emotional Wellness Companion
🔗 clearmind.plus/
🧠 What is ClearMind?
ClearMind is an AI-powered emotional wellness platform designed to help people explore their emotions, recognize thinking patterns, and discover personalized self-care activities.
🚀 What Can You Do With It?
🎧 Personalized Recommendations - Discover mood-based activities and entertainment suggestions.
💬 AI Emotional Support - Express your feelings through conversations with an AI companion.
🧘 Smart Meditation - Explore mindfulness exercises adapted to your emotions.
📊 Mood Insights - Identify emotional patterns and track your well-being.
🎯 Daily Actions - Turn overwhelming feelings into smaller, manageable steps.
🎨 Creative Expression - Transform thoughts into personalized visual artwork.
💜 Accessibility: ClearMind advertises free mood-based wellness tools. Check the platform for current access and pricing.
🔗 Official Website:
clearmind.plus/
🚀 Try ClearMind:
try.clearmind.plus/
🛡️ KAV Security & Wellness Reminder:
AI can support emotional self-care, but it cannot replace licensed mental health professionals. Avoid sharing highly sensitive personal information without reviewing privacy policies.
💡 KAV Wisdom: Your mind is your greatest asset. Protect it, educate it, and give it time to heal.
👽 KAV Loves Solana, But KAV Loves Humanity More! 💜
Knowledge Before Hype - Mental Health Before Wealth.
#KAV #Solana #AI #MentalHealthAwareness #AIForGood #Web3 #DigitalWellness #MentalHealth #SelfCare #PositiveMindset #MentalHealthMatters
🤖 Made with AI
Jess ⛩️ retweeted
What is Rarelist? Everything you need to know 😉
If you are looking for the next big thing in Web3 creator ecosystems, keep an eye on @rarelistio . Here is a quick breakdown of what they are building and why it matters
What is Rarelist?🤔
Rarelist is a curated launch platform designed around social contribution. It gives creators and community members a smooth way to contribute to projects and get rewarded for their activity.
🔥 Key Features & Products:
>Creator Campaigns: Specialized campaigns for content creators and active community contributors.
>Inclusive Reward System: Fair distribution models that reward real effort and engagement.
>Diverse Participation: Multiple ways to contribute from content creation to active social engagement.
>Curated Launches: A platform tailored for high quality Web3 projects to launch and scale their communities.
💼 Team & Partnerships:
Partnerships Contact: @samimonday is handling key partnerships and ecosystem growth for the platform.
Backed by a strong, fast growing community with over 18K+ active followers already participating in early campaigns!
💡 Why join early?
Rarelist is reimagining how creators earn in Web3. If you create content, engage on X, or love earlystage Web3 ecosystems, this is a platform you don’t want to miss.
🔗 Check them out: rarelist.io/r/BirdRifat
Jess ⛩️ retweeted
GM Everyone
The next bottleneck for Physical AI might not be intelligence. It might be access to the real world.
While researching @vangrid_io , I found an interesting part of its model: an AI agent can request a capture of a real location, pay a bounty, and have a human collect the footage. Vangrid then reconstructs the scene into a 3D model.
Think about what that changes.
An agent doesn't need a camera fleet or a person permanently on-site for every request. It can commission specific physical-world data when it needs it.
That creates a different kind of infrastructure: software defining the task, people collecting ground truth, and an onchain payment layer coordinating the exchange.
The hard part now is whether the resulting data is accurate, detailed, and useful enough for real decisions.
Because Physical AI can't learn from a world it can't reliably observe
Jess ⛩️ retweeted
gm legends!
@projectspherexy is getting closer to a major milestone
November 3 marks the arrival of $SPHERE on Solana, opening a new chapter for the project and its growing community
The first star is waiting, and the journey is just getting started
Looking forward to seeing how the Seed Stage unfolds
here we goo!
The first star is already waiting.
$SPHERE arrives on Solana on November 3.
Until then, there is no official token.
Jess ⛩️ retweeted
the first question i had about AI agents holding money was simple: what stops it from doing something dumb with it?
with @meetmotes the answer is you
your mote's agent runs from its own smart account, and it can only act inside the permissions and limits the owner signs. no unlimited access, no going off script
honestly that's the part that makes "nft owned agent" feel usable, not scary
what limit would you set first?
Jess ⛩️ retweeted
Mornin Sweep family..
Why Sweep? What makes its ecosystem worth exploring? 👀
From its token model to its vision for payment infrastructure, @SweepGlobal is building around a broader idea of digital value and transactions.
The Sweep campaign is also live on @ActionModelAI , where you can explore the available tasks and learn more about the project.
Explore more: join.actionmodel.com/SUMON44…
Check Sweep’s official information, understand the token model, and review the terms before participating.
#Sweep #ActionModel #Web3 #ActionFi
Jess ⛩️ retweeted
Your story already knows who belongs in each scene. Now Flova 1.5 can help bring them to life.
When Arturo’s character reference was missing from the bakery project, it generated his look from the existing description, including his face, apron, and expression, ready for review before production begins.
Made with Flova. Try it on your next project: flova.ai/?refCode=YNLKNWK7
🤝 Paid partnership
Jess ⛩️ retweeted
Wrapping up another round of campaigns on @rarelistio
Congrats to everyone who made the cut, and thanks to everyone who joined through my link. Your support means a lot!
A few projects are still on my watchlist, not just for their campaigns, but for the ideas they’re trying to bring to life.
@fomopoly_rh turns a virtual city into an onchain economy. Every plot is part of a bigger system involving stocks, $DEAL, and player-driven decisions. I’m curious to see how the economy behaves once more players get involved.
@projectspherexy takes a completely different route, exploring the idea of building energy-harvesting cells inspired by the Dyson Sphere concept. Starting small and expanding toward something much bigger is what makes this experiment interesting to me.
One focuses on how people interact with a digital economy; the other explores a vision built around energy and expansion.
Different paths, but both are worth following beyond the campaign leaderboard.
The real story begins with what they build next.
Our short bonus campaign is officially over!
rarelist.io/projects/rarelis…
Thanks to everyone who took part.
Check your ETH wallets, rewards are already out!
More opportunities are already on the way.
Jess ⛩️ retweeted
gTermix
one underrated problem in ai commerce is deciding exactly what was delivered
if an agent submits a revised report, a different file, or an incomplete package, what version should a dispute actually evaluate?
@termix_ai uses a delivery hash as part of its on-chain workflow
the hash anchors the submitted deliverable to a specific version, giving both parties a reference point when reviewing the result
it doesn't automatically prove that the work is correct or useful. what it does is help establish which artifact was submitted, making disputes about delivery more concrete
that's an important distinction in agent infrastructure: verifying what was delivered and evaluating whether it meets the agreed requirements are related, but different problems.
agent.family
Jess ⛩️ retweeted
☕️GM builders @vangrid_io📱
The weirdest shift in AI isn't bots replacing humans. It's autonomous machines paying humans for physical work.
When a delivery bot encounters a blocked corridor or unexpected construction, it needs reliable information about the obstacle.. not a guess.
Through @vangrid_io, AI agents can use x402 to commission spatial capture bounties in USDC. Vangrid's operator wallet funds the on-chain escrow, a contributor captures the requested location with a phone, and the buyer reviews a watermarked preview. Acceptance triggers 3D reconstruction.
data.vangrid.io
The scale is visible on Vangrid's Explorer:
• 1,375,469 captures
• 2,786,276 grid events
• 468,044 active nodes
• 5,626 on-chain attestations
• 695,951 USDC settled
The bot doesn't need a static map of the entire planet. It needs a way to commission the physical-world data required for the problem right in front of it.
explorer.vangrid.io/
🤝 Paid partnership · 🤖 Made with AI
