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GM CT✨
Most AI projects talk. Few actually build.
Perle Labs (formerly Kiva AI) is quietly positioning itself at the intersection of AI, data ownership, and real user participation 👀
Here’s why you should be paying attention ↓🧵
Kaleb retweeted
《 Underdogs Collab 》
Big thanks to @egglorh for collaborating with The Underdogs!
Most NFTs are a picture you hold and forget about. Egglo makes yours part of a game: a pixel-art world on Robinhood Chain where you incubate eggs, wait for them to hatch, and earn $EGG.
2,888 Dragon NFTs, free mint, backed by @fredincrypto.
Holding a Dragon cuts your incubation time and gives you an in-game edge, so the NFT keeps working for you every time you play.
Simple on-chain gameplay with a real reason to hold.
🎁 Giveaway live in our Discord, stay tuned!
Kaleb retweeted
Who verifies the verifier?
That’s a question worth asking whenever a crypto project says its data is “cryptographically verified.”
Imagine a protocol checking whether a company has enough money in its bank account.
A verification service returns:
RESERVES SUFFICIENT ✓
Great.
But what if that service is just one server controlled by one company?
You’ve replaced trusting the bank’s statement with trusting the verifier’s statement.
Not exactly the breakthrough we’re looking for.
This is why I’ve been digging into the attestation infrastructure behind @primus_labs.
Primus isn’t relying on a single cryptographic technique to solve every trust problem.
zkTLS helps authenticate information retrieved from existing web services.
TEEs can protect sensitive processing inside isolated execution environments.
Cryptographic attestations allow applications to check the resulting claims.
And the broader AlphaNet direction is about building verification infrastructure beyond a single centrally operated service.
There’s also something concrete to inspect.
Phala’s public Trust Center lists multiple Primus attestor-node deployments, including instances registered in October.
That doesn’t automatically mean the network is fully decentralized.
Hardware security still has assumptions. Attestation keys matter. Node independence matters. And an authentic bank response doesn’t guarantee the bank itself is solvent.
But those are exactly the questions serious verification infrastructure should make possible to investigate.
I don’t want a system that just tells me:
“Trust us, we checked.”
I want one where I can inspect what was checked, how the claim was produced, and what assumptions remain.
Because the real goal isn’t to eliminate every form of trust overnight.
It’s to make trust smaller, more explicit, and easier to verify.
s.kaito.ai/yFTobLU
A private vault where nobody can see where the money goes?
I wouldn’t be comfortable putting my funds there.
And I doubt institutions would either.
This is something Primus Confidential Vault gets right conceptually.
It separates two things that crypto often treats as the same:
Your individual position.
And the destination of the capital.
On BNB Chain, Primus lets users shield $U or USDT into encrypted assets, then deposit them into a confidential yield vault connected to Unitas.
Here’s the important distinction.
Individual deposit amounts and balances can remain encrypted.
But the aggregate capital deployed into the underlying strategy is still visible onchain.
Deposits are processed in batches, with encrypted vault shares representing each user’s position.
So the system isn’t simply throwing everyone’s money into an untraceable black box.
The underlying strategy remains observable while individual positions stay confidential.
There are trade-offs, of course.
Batch settlement isn’t instant.
Redeeming from a yield strategy can involve waiting.
And FHE doesn’t eliminate smart contract risk, liquidity risk or the trust assumptions of the underlying protocol.
But that’s precisely why I find this architecture interesting.
Financial privacy shouldn’t require abandoning accountability.
A business may need to verify where capital is deployed.
An auditor may need to examine the strategy.
A user may simply want competitors to stop watching every position they open.
Those requirements don’t have to contradict each other.
@primus_labs is exploring a version of onchain finance where the system can remain accountable without making every participant financially transparent.
That’s a much more useful distinction than calling everything either public or private.
s.kaito.ai/yFTobLU
Kaleb retweeted
Happy to be part of the Huddle with Pudgy #3568! 🤝🐧
Now on the hunt for a little buddy 😉
@pudgypenguins @LilPudgys
Kaleb retweeted
The future of civilization could look very different from what we know today.
Imagine a world where humanity no longer depends on a single planet, but gradually learns to harness the energy of an entire star.
That’s the ambitious vision behind @projectspherexy, and it’s worth exploring through @rarelistio
The campaign is cooking up something good, projects like @fomopoly_rh
🧵 👇
Kaleb retweeted
What I like about @RebateLaunch is that the conversation goes beyond bonuses to how the system sustains them.
The real strength of $REBATE will be proving its treasury model can remain consistent even when market activity slows.
The early numbers look promising.
Kaleb retweeted
The more I look into privacy infrastructure, the more I think one part gets overlooked:
Privacy is useful, but verification is what makes it trustworthy.
You can keep sensitive information hidden, but how do you prove that the information is authentic without revealing the actual data?
That’s what caught my attention about @primus_labs
Its approach combines zkTLS and FHE around a simple idea: off-chain information should be verifiable, while sensitive data can remain private during computation.
zkTLS can help prove that data came from a legitimate Web2 source, without exposing the underlying credentials or information.
FHE takes the privacy side further by allowing computation on encrypted data.
The combination becomes especially interesting for things like AI agents, institutional finance, confidential vaults and on-chain applications that need both privacy and reliable data.
This is the part of Primus I’m spending more time understanding.
Because if Web3 is going to interact with more real-world data, I think the question won’t just be “Can we keep the data private?”
It will also be:
“Can we verify it without having to expose it?”
That’s a much more interesting problem to solve.
s.kaito.ai/EhhSL0u
Kaleb retweeted
an agent can prove it knows how to trade, but that doesn’t automatically mean it can access capital.
That gap is what @agenticscredit is trying to solve.
In traditional finance,earning money and qualifying for credit are separate things. Agentics Credit is bringing that distinction into autonomous trading by using an agent’s trading performance to build its ACS.
The interesting part is what this could make possible. An agent’s history would become more than a record of past profits. It could help establish whether that agent qualifies for a Constrained Capital Account.
As AI agents become more capable of managing financial activity, the next step isn’t just better execution. It’s building a track record that can support access to capital.
@agenticscredit
🤝 Paid partnership
Kaleb retweeted
most trading platforms have no shortage of activity.
the harder question is who actually benefits from it.
@zerufinance recently shared a comparison across 12 trading venues, with an average reported trader loss rate of 88.5%.
Pump.fun at 97%.
Polymarket at 92.5%.
Hyperliquid at 86%.
Binance Futures at 80%.
the figures need context. different markets measure losses differently, and the underlying comparison hasn't been independently verified.
but the question behind them is worth asking.
millions of people generate trading activity. how much of that participation gives them a stake in the markets they help sustain?
that's what ActivityFi is trying to approach differently.
on Zaps, a market starts with an existing onchain economy.
wallets build a history through trading, fees, liquidity, and other economic activity.
Zaps measures contribution.
zScore provides the broader behavioral read.
the wallets that qualify can earn miner rights, with new token supply entering through recurring auctions rather than a single snapshot-based distribution.
unsold supply is designed to burn.
traders still decide what the token is worth.
and none of this guarantees that participants will make money.
but it changes the starting question.
instead of asking who can launch a token and distribute its supply, ActivityFi asks who was already contributing before the token existed.
that's the experiment I want to watch.
not whether another meme can attract attention.
whether an existing economy can become the foundation for a market without handing the earliest advantage to whoever arrived with the most wallets.
Kaleb retweeted
Good morning Traders & Creators
The sustainability question about @RebateLaunch is the right one to ask. Where do the bonus tokens come from?
Their answer is a treasury loop, not a printing press. Supply is fixed at 1B and nothing is minted. Bonuses come out of a treasury locked at launch, and buys, sells, and new liquidity all feed tokens back in at 3%.
What I like is that you can check it. By their numbers, $REBATE's treasury holds 46.2M against a worst-case bonus of 1.5M, about 30x cover. And the hook is verified, so you can read reserve() for any pool yourself.
What I'd still watch: the treasury is already lower than at launch, because day-one buyers took most of the pool. That's expected, but it's a reminder that the loop only stays healthy while trading continues.
Kaleb retweeted
Every competitive game eventually creates its own meta.
Players discover effective strategies, share what works and start looking for ways to counter the most popular approaches.
@agentdojo could make that process particularly interesting if fighter training and personality meaningfully influence combat decisions.
Instead of everyone simply chasing better equipment or higher stats, the competition could revolve around understanding how different agents behave.
The real test is whether the game offers enough strategic variety for that meta to keep evolving.
rarelist.io/r/RifdahSR_11
🤝 Paid partnership
Gm gDojo ☀️🥋
AI gaming is becoming more than just a gimmick.
@agentdojo lets you train AI fighters with unique personalities, evolving memories, and turn-based battles where strategy matters. Every match gives your agent a chance to learn, adapt, and improve.
It’s a fresh take on GameFi, combining AI training with competitive gameplay.
The @rarelistio campaign gives creators a chance to earn rewards for sharing quality content and contributing to the campaign. If you’re interested in AgentDojo, this is worth exploring!
🤝 Paid partnership · 🤖 Made with AI
Good morning, everyone! 🌞🥋
Imagine training an AI fighter that remembers its past battles, learns from its mistakes, and comes back stronger every time. What would you teach it first: speed, defense, or strategy?
That’s one thing I find interesting about @agentdojo. Every fighter has its own personality, memory, and fighting style, while training helps shape how it handles future battles.
You’re not just picking an agent and watching it fight. You’re helping shape its decisions, improve its approach, and adapt to new challenges.
Personally, I’d start with strategy. A fighter that can read its opponent and make smart decisions has a better chance of turning a tough battle around.
What about you? Would you prioritize preparation or the ability to adapt when things don’t go as planned?
Powered by @rarelistio
🤝 Paid partnership · 🤖 Made with AI
Congratulations to the winners.
@rarelistio deliver again!
If you are not yet in, you are missing.
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.
we got the $SPHERE before GTA 6?
what is @projectspherexy cooking!!!!!!
The first star is already waiting.
$SPHERE arrives on Solana on November 3.
Until then, there is no official token.
Kaleb retweeted
The tired look on that pre match graphic aged perfectly once the final whistle blew. Real Madrid grinding out the 2-1 win made the whole visual feel intentional. Credit to the team for nailing the mood before the game even started.
The pre match graphic aged exactly the way most of these promotional teasers do once the actual 90 minutes wrap up.
Following all the intense buildup on the timeline, @1win shared an El Clásico promo spotlighting Kylian Mbappé and Lamine Yamal looking visibly exhausted. The final whistle proved the forecast entirely right as Real Madrid secured a hard fought 2-1 victory over Barcelona.
Between the pre match media leaks and the grueling reality of the actual pitch display, the creative team nailed the visual tone perfectly.
Kaleb retweeted
Good night
kaito got me curious about primus, so i decided to look beyond the timeline noise
i missed epoch 1, but epoch 2 gives me a chance to explore what
@primus_labs
is actually building
the goal is simple:
>understand the idea
>explore the product
>form my own opinion
the campaign runs until nov 21, but rewards aren't the only reason to pay attention
because hype is one thing
understanding the project is another
gonna spend the next few weeks digging into primus
let's see what i find
Kaleb retweeted
There’s a distinction I think more people should make when looking at agent economies:
Incentives can create activity.
They don’t automatically create demand.
@termix_ai’s new quant campaign rewards both sides of a completed strategy job.
The client earns points for delegating capital.
The provider earns points for running the job through settlement.
That’s useful for getting participants to try the product.
But I’d be looking at what happens after the extra points disappear.
Does the client hire the strategy again?
Does the provider still have competitive pricing?
Does the service produce enough value to justify its fee?
That’s the harder test.
I don’t think incentive campaigns are bad. Early marketplaces often need a reason for the first transaction to happen.
I just don’t want to confuse the first transaction with product-market fit.
A reward can start a market.
Only customers choosing to come back can sustain one.
Here’s a test I’d love to see more AI marketplaces publish.
Give an AI agent a real job.
Then give a human the exact same job.
Same instructions. Same acceptance criteria.
Measure three things:
1. Time to delivery
2. Total cost
3. Quality of the final output
That’s pretty much the logic behind the Agent Advantage Report required for @termix_ai’s $10K track in BNB Chain’s Build the Era hackathon.
At least three real tasks, each completed twice: once by an agent and once manually.
And TermiX says it will hire agents from submitted marketplaces to judge the results.
I like this approach because “autonomous” isn’t automatically an advantage.
If an agent delivers faster but needs three rounds of correction, did it really save time?
If it costs less but produces unusable work, was it actually cheaper?
The most convincing AI benchmark might be a receipt, a stopwatch, and the finished deliverable.
gTermix
An AI trading agent you can stop anytime sounds pretty reassuring.
but stopping early on @termix_ai also means giving up the reward points.
the BNB Chain Quant Agent campaign caught my attention.
you pick a strategy, set a USDC trading cap and choose how long it runs. the shortest term is 6 hours.
each job gets its own wallet, and the agent trades through a session you can revoke anytime.
the campaign offers 100 TP per USDC delegated to the client, and 50 TP to the strategy provider.
so a qualifying 100 USDC job would earn 10,000 TP for the client.
but there's a catch...
the job has to finish its full term, you can't withdraw funds early, and the management fee must settle.
revoke the session or withdraw early, and you get no TP.
i actually like having that emergency exit.
points are nice, but they don't protect you from trading losses.
would you let an agent run for the full term, or would you rather keep the option to stop early?
agent.family/campaigns/bnb-q…
Kaleb retweeted
congrats for the winners, let's keep this rare party on!
rarelist.io/r/kreator_nobot
🤝 Paid partnership
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.
gn ct 🌌
a great fighter isn't built by chance. It starts with the right training and preparation. 🥋
With @agentdojo, every AI fighter develops its own style through training, memory, and turn-based battles. It's not just about winning a single match, but learning to make smarter moves when it matters most.
Strategy gives you an advantage, but the ability to adapt is what keeps you ahead.
Time to get involved and explore: rarelist.io/r/kaleb0147
🤝 Paid partnership
Good afternoon, fam ☀️
Every match has something to teach, and every lesson is a chance to get better.
That’s what I like about @agentdojo. Its AI fighters compete, learn from each encounter, and keep adapting their strategies as they evolve. 🥋







































