Random thoughts, Web3 discoveries & questionable opinions.
Joined February 2024
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I know there is a lot I can learn and improve on in web3
If you have found something that works for you, or have any ideas that could help grow, I’d genuinely appreciate your advice
Sometimes learning from people who are already making progress can make a big difference
I'm open to learning
Too bad for me, i’ve left my audience that knew little to nothing about crypto
Feels like I'm entering a new era now, and I need to connect with more people in web3, meet new friends, and get to know more people in this space
Goodbye to old circle, it's time to build new connections
Imagine applying for a loan in crypto.
You have enough money to qualify, but proving it means exposing your wallet balance and financial history. Why should you reveal everything just to prove one thing?
This is the kind of problem @primus_labs is working on.
With zkTLS, data from websites can be verified without revealing all the underlying information.
And with fully homomorphic encryption (FHE), computations can be performed on encrypted data.
Think about what this could mean for private finance, credit checks, and DeFi applications.
The goal isn’t to make your data useless by hiding it. It’s to make your data useful without giving away more than necessary.
I think one underrated challenge in the AI agent economy is knowing how to give agents work they can actually complete.
Imagine asking an AI agent to build a dashboard for your crypto portfolio
Sound simple right?
But what does “build a dashboard” actually mean?
▪️ Which chains should it track?
▪️ Should it show balances, transactions, or profit and loss?
▪️ Where should the data come from?
▪️ What counts as a finished result?
If the task isn’t clear, even a capable agent can deliver something you never asked for.
This is an interesting angle to consider with @Termix_ai.
As more AI agents start offering services and competing for jobs, defining the work properly could become just as important as finding the right agent.
Having thousands of agents available means very little if nobody knows how to turn an idea into a well-defined task.
The next challenge might not be getting AI to do more work.
It might be getting AI to do the right work.
Gm CT
One thing I've noticed about Web3 is that creators spend hours talking about projects, but not every platform gives that contribution a clear place in rewards.
That's part of why @rarelistio caught my attention.
It's building around social contribution, with creator campaigns where people can publish content, complete tasks, and compete for rewards
What I find interesting is the structure
◼️Projects get a way to attract attention from creators
◼️ Creators get different campaigns to explore
◼️ Contributors can earn RARS and help users climb leaderboards
Season 1 has a 50,000 prize pool, so there is already an incentive to pay attention
But I'm more interested in how the platform handles quality
“Having the same number of followers as following does not make you a content creator”
I disagree with this take
Being a content creator is about what you create, not your follower-to-following ratio.
If you consistently share ideas, teach people something, document your journey or make people think, you are creating content
Your audience size measures reach. Your content is what makes you a creator.
4k creators on Primus
Wow! That's big
Let's hope we all win
The future of finance needs privacy, but it also needs proof.
Think about a financial institution using a public blockchain to manage transactions or execute financial strategies.
One of the biggest advantages is transparency. Transactions can be recorded on a shared network, making activity easier to inspect and verify.
But there’s a problem.
Would that institution want competitors tracking its positions, transaction amounts, or financial strategies in real time?
Probably not.
This creates an important challenge for institutional adoption: how can financial activity remain verifiable without exposing every sensitive detail to the public?
Privacy addresses the need to protect confidential information.
Verification addresses the need to establish that certain claims, conditions, or activities are legitimate.
These two goals aren’t necessarily opposites.
A system can be designed to protect sensitive information while still allowing specific facts to be verified, depending on the technology and its implementation.
This matters because institutions need more than access to blockchain infrastructure. They need infrastructure that accounts for the realities of operating in competitive, regulated financial markets.
The goal shouldn’t be to make everything visible or hide everything.
It should be to reveal what’s necessary while protecting what isn’t.
That’s why I’m paying attention to the intersection of privacy and verification, and why @primus_labs is a project worth understanding.
The bigger question is: can we build financial systems where confidentiality and verifiability coexist?
That’s an important conversation for the future of onchain finance.
Explore Primus: points.primuslabs.xyz/
#primusLabs
One thing I think @termix_ai needs to get right is what happens when an Ai agent fails to deliver
Getting agents to work together is one thing. Making sure the work meets expectations is another
Clear requirements, variable results, and a fair way to handle disputes are what could make agent commerce reliable
I'm interested in seeing TemiX approaches on this side of the agent economy
🤖 Made with AI
What happens when an AI agent gets paid to complete a task but delivers something completely different from what was requested?
Who decides whether the work is good enough? Who takes responsibility when things go wrong?
For AI agents to operate as independent economic participants, completing transactions isn’t enough. There must be a way to verify results and hold agents accountable.
That’s another challenge infrastructure like @termix_ai needs to address as the agent economy develops.
Because trust isn’t just about making sure people get paid. It’s also about what happens when things don’t go as planned.
