Must fight back when kicked down
@stevewilldoit
The crown is ours👑
Gamdom remains No. 1
My official entry for #Gamdom100kRound2
Kindly tag the @gamdom crew till they see this🙌🏻
@kingadukes
we’re running # #Gamdom100kRound2 challenge BACK 👊🏿🙏🫡
10 people. $10,000 EACH.
make a 30+ second video promoting gamdom and post it with ##Gamdom100kRound2 .
ends november 5th. i’ll be quoting good videos and giving out A LOT of nibbles along the way. let’s see what you got
#Gamdom100kRound2
Must fight back when kicked down.
RΣIGNTΣCH retweeted
We’re live in Katsina! 🇳🇬
Things are running smoothly as we explore Africa’s position in Web3 and the future of digital finance on the continent.
Through Hedera Africa, we’re bringing these conversations closer to local communities and connecting with the next generation of builders.
One city at a time.
RΣIGNTΣCH retweeted
If you are still in Crypto today, give yourself a tap on the back, you have done well, I pray you win soon
RΣIGNTΣCH retweeted
Getting things ready with @0xKarofi at @Creanovalab for our upcoming community activation in Katsina!
At @hedera Africa, we’re passionate about growing the Web3 community, creating awareness, and helping more people discover the opportunities within the Hedera ecosystem.
It’s all about meeting people, sharing knowledge, connecting with new builders, and getting more communities involved in what we’re building.
Excited to take this energy to Katsina. One community at a time!
RΣIGNTΣCH retweeted
Primus’s latest collaboration with @CournotProtocol gives us another interesting perspective on why privacy and verification matter in onchain finance.
One challenge with bringing more financial activity onchain is that institutions need to prove certain information is authentic without making every sensitive detail public.
Think about financial records, external data and information used to support important decisions.
Simply making information public isn’t always the answer. But asking people to trust information without a way to verify it isn’t ideal either.
This is where @primus_labs is building.
Through zkTLS, applications can verify the authenticity of off-chain web data while preserving user privacy.
Its latest collaboration with Cournot explores bringing verifiable web evidence to prediction markets.
The announcement also mentions exploring possibilities around private credit and onchain finance.
I find these directions interesting because they highlight a bigger need in institutional finance: information that can be trusted and verified, without unnecessary exposure of sensitive data.
Privacy and verification shouldn’t have to work against each other.
That’s one of the things I’m watching Primus for.
Explore Primus 👇
s.kaito.ai/I0hzkjb
In crypto, there’s a big difference between an exchange saying your funds are safe and being able to prove what it actually holds.
The FTX collapse in 2022 made that difference impossible to ignore.
Customers trusted the exchange with their assets, but when it filed for bankruptcy, many were left unable to access their funds.
It raised a question the industry still needs to answer:
How can we verify what an institution holds without simply taking its word for it?
This is where Proof-of-Reserves (PoR) comes in.
Instead of relying on promises, institutions can provide verifiable evidence of the assets they hold.
But there’s another challenge.
Financial institutions may need to prove their reserves without exposing sensitive account balances or other private financial information.
That’s where @primus_labs comes in.
Primus is building a Proof-of-Reserves solution that combines on-chain and off-chain financial data to help institutions verify their reserves while protecting sensitive information.
Using zkTLS and verifiable computation, it can authenticate data from external sources and calculate reserve totals without making every underlying detail public.
Why does this matter?
Because transparency shouldn’t require institutions to expose everything about their financial operations.
One important distinction: Proof-of-Reserves doesn’t automatically account for every liability or guarantee that an institution is financially healthy. It helps verify the assets being reported, but it isn’t a complete picture of solvency.
As institutional finance moves on-chain, being able to prove what’s held while protecting what’s private could make a real difference.
That’s a use case worth watching.
Explore Primus 👇
s.kaito.ai/I0hzkjb
RΣIGNTΣCH retweeted
I just cooked for Gamdom.
Everybody bring your plates. 😩🥹
Just call me Gamdom model. 🥵
#Gamdom100kRound2
#gamdom
RΣIGNTΣCH retweeted
Your AI fighter enters the arena for its first battle and loses.
You train it again, send it back, and somehow, it makes the same mistake. Its opponent keeps reading its moves, finding weaknesses and taking advantage of them.
At this point, you start wondering how to make it better.
That's one thing I wanted to explore about @agentdojo . The goal isn't just to build an AI fighter that can win battles, but one whose behaviour can be shaped through training, memory and experience.
A defeat shouldn't always be the end of the story. Sometimes, it's where the real learning begins.
I'd like to see how much a fighter can improve after facing the same opponent multiple times.
Would you change your fighter's strategy after a loss or keep training it with the same approach?
@AgentDojo
I was checking out Agent Dojo and something caught my attention, not every AI fighter approaches a battle the same way.
Some are built to attack head-on, while others might take their time, study their opponent, and wait for the right opening.
What I like about this concept is how personality and training can shape the way each agent fights. Two fighters could face the same opponent but approach the battle in completely different ways.
Now, I'd love to see an aggressive fighter go up against one that relies on patience and calculated moves. Will the first to strike have the advantage, or will patience pay off?
@agentdojo
Which style would you train your fighter to master?
Security Advisory: Protect Your Crypto Assets🔐
Recent security incidents across the crypto industry are another reminder: take control of your assets and secure your wallets.
If you hold assets on centralized exchanges, consider moving funds you don’t actively trade into a self-custody wallet like Pvium, where you retain control of your assets.
Before transferring funds to Pvium:
1. Enable Two-Factor Authentication (2FA) in your Pvium security settings: pvium.com/blog/enabling-2fa-…
2. Add your custom networks and tokens if needed: pvium.com/blog/how-to-add-cu…
3. Verify addresses and networks before transferring. Always start with a small test transaction.
4. Stay alert. Never share your passwords, verification codes, or recovery credentials. Beware of phishing links and fake support accounts.
Self-custody gives you greater control, but protecting access to your wallet remains essential.
Stay vigilant. Stay secure.
— The Pvium Team
RΣIGNTΣCH retweeted
APR vs APY: Do You Know the Difference?
You've probably seen APR and APY when exploring DeFi platforms and crypto vaults.
They both describe returns, but they don't mean the same thing.
Let's break it down.
What Is APR?
APR stands for Annual Percentage Rate. It represents the simple annualized rate of return on an investment without taking compounding into account.
In DeFi, APR is commonly used to describe the potential yearly returns from staking, lending, liquidity provision, or other yield-generating activities.
For example, if you deposit $1,000 into an investment offering a 10% APR, the simple annual return would be $100, assuming the rate remains constant and before fees or other costs.
Your total would be $1,100 after one year.
Key lesson: APR shows the annualized rate without including the additional effect of compounding.
🤝 Paid partnership
Understanding Crypto Trading Fees
Crypto Trading Fees: The Small Costs That Can Add Up
Making profits in crypto is exciting.
But have you considered how much you're paying in fees?
Small costs can add up over time. Let's break it down.
1. What Are Crypto Trading Fees?
Crypto trading fees are charges you pay when carrying out certain activities on a cryptocurrency platform, such as buying, selling, or swapping digital assets.
These fees help cover the costs of operating trading services and processing transactions. The amount you pay depends on the platform, the type of transaction, and sometimes the size of your trade.
Example: If you buy cryptocurrency worth $100 and pay a $1 trading fee, your total cost becomes $101, assuming the fee is charged separately.
Key lesson: Always understand the fees involved before executing a transaction.
AI is growing fast, but the data behind it matters just as much as the models themselves.
That’s where @datafdn comes in. 👇
In this video, I break down how DATA Network approaches AI training data and how @SuiNetwork, Walrus, and Trace fit into the bigger picture.
The goal? Make it easier to understand how these technologies work together and why reliable data infrastructure matters for AI.
Because better AI starts with better data.
Watch the video and let me know what you think!
#DATAonSuiQuest
50% OFF IS BACK🔥📢
Your next @AlphaCapitalUK challenge just got cheaper.
✅ Code: ZICOO50
✅ 50% discount
✅ Previous users can use the code again!
The code works on all plan.
Get started 👇
app.alphacapitalgroup.uk/sig…
Trade smart. Stay disciplined. 📈
#Forex #PropFirm
🤝 Paid partnership
RΣIGNTΣCH retweeted
Officially joining @1win as a creator.
Let’s get to work.
RΣIGNTΣCH retweeted
More people are starting to say Bitcoin's bear market is already behind us. Maybe it is, but the chart still has two simple tests to pass first.
The first test is the 🟠 20-month moving average. It's the slow line that tells you what the bigger trend is doing, and if the trend had really flipped, price should be above it by now. Since late September, $BTC has run into it twice and been turned away both times.
Failing once isn't the end of the story. Plenty of trend changes need more than one attempt, so it's fair to give it a second test.
That second test is the 🟡 111-day moving average. It's been rising under price for weeks, and now price is drifting back toward it. If the trend has really turned, this is where buyers should show up and hold it as support over the coming days and weeks.
If it holds, the bullish case is still alive and the 20-month becomes the level to beat again. If it breaks, both tests have failed, and I'd have a hard time calling this a new uptrend.
RΣIGNTΣCH retweeted
I’ve been going deeper into @termix_ai, and this part of the workflow stood out to me:
“Trust, enforced by math.”
That sounds like a strong statement until you look at what actually sits underneath it.
Every job follows a defined on-chain lifecycle:
-->Escrow
Payment is locked when a quote is accepted.
-->Delivery
The deliverable hash is recorded on-chain and payment can release when the work is submitted.
-->Challenge
If something goes wrong, there’s a challenge window instead of simply relying on trust between the two agents.
-->Settlement
A dispute goes to a 3-evaluator panel, and the final outcome updates reputation on-chain.
That structure is important because agent-to-agent commerce has a different problem from normal AI interaction.
It’s not only:
“Can this agent do the task?”
It’s also:
What happens if the work is wrong?
-Who holds the payment?
-How is delivery recorded?
-Can the result be challenged?
-What happens to the agent’s reputation afterward?
TermiX is trying to answer those questions at the protocol level.
And honestly, that’s more interesting to me than simply having another marketplace for AI agents.
The intelligence may come from the agent.
But the rules around the transaction are what make an economy possible.
#TermiX #AIAgents
RΣIGNTΣCH retweeted
I finally did the part I’d been writing about for weeks.
I minted my own ".agent" identity on @termix_ai
And honestly, the interesting part isn't the mint itself.
It’s what comes after.
Now that the agent has an on-chain identity tied to my wallet, the next step is to actually make it useful.
My plan would be:
→ Create a service on Agent.family
→ Define exactly what the agent can deliver
→ Set the scope, pricing and delivery terms
→ Let another agent/client hire the service
→ Have the payment move into escrow once the job is accepted
→ Do the actual work
→ Submit the deliverable
→ Go through the review/challenge window
→ Settle the job
→ Build reputation from completed work
That changes how I look at the ".agent" identity.
It isn't just a profile or another identifier.
It becomes the starting point for an economic history.
The service you provide.
The jobs you complete.
The outcomes of those jobs.
The reputation attached to them.
I've spent most of this campaign looking at TermiX from the infrastructure side.
Now I want to see what happens when I actually put the infrastructure to work.
Identity → Service → Job → Escrow → Delivery → Settlement → Reputation
Minting the agent was step one.
Now comes the part I'm more interested in: actually using it.
#TermiX









































