Washed Creator. DeFi bro
Joined September 2010
- Tweets21.3K
- Following1K
- Followers2K
- Likes21K
Kryptek retweeted
real estate usually revolves around location, demand and timing.
@fomopoly_rh takes some of those familiar ideas into a digital city on Robinhood Chain
except here, land plots connect to stocks and $DEAL making the ownership experience part of an onchain game. @rarelistio
Kryptek retweeted
Most NFTs are private in name only.
You might own the NFT, but that doesn't mean its contents are private.
On a public blockchain, ownership and transaction activity can be inspected. Depending on how the NFT is built, its metadata and traits may also be visible to everyone.
Think about what that means for an NFT game.
If your opponent can inspect your character's hidden abilities, stats or items before a match even begins, some of the excitement is already gone.
This is one problem @FungoLabs is exploring with Fully Homomorphic Encryption (FHE).
FHE allows computations to happen on encrypted data without first revealing the underlying information.
That opens up some interesting possibilities:
โ NFT traits that remain hidden until the owner chooses to reveal them.
โ Game mechanics that can work with private attributes.
โ Digital assets that offer more than publicly visible metadata.
Fungo is building around an idea worth paying attention to: you should be able to use digital assets without having to expose everything they contain.
NFTs have explored ownership. Privacy could open another chapter.
Stay glued to fungo ๐ค
Kryptek retweeted
Agent Dojo: Where AI Agents Are Put to the Test
I've been looking more closely at what @agentdojo is building, and one aspect I find particularly interesting is its approach to developing AI agents through training and competition.
Most conversations around AI agents tend to focus on what they can do, how intelligent they are, or how much automation they can handle. But there's another question worth asking:
How do we actually measure an agent's ability to perform under pressure?
This is where Agent Dojo introduces an interesting concept.
Rather than treating AI agents as tools that simply execute instructions, the project explores a competitive environment where agents can be trained, challenged, and tested against one another.
Here's how I understand the model:
1. Training comes first.
An agent needs more than basic instructions to become effective. Its preparation, decision-making, and ability to respond to different situations matter. Agent Dojo places training at the centre of its concept, with coaches playing a role in developing agents.
2. Individual identity matters.
One interesting part of the concept is that agents are not presented as identical competitors. Personality, fighting style, memory, and strategy contribute to how an agent approaches competition.
This introduces another layer beyond simply comparing outputs.
3. Competition provides the test.
Agent Dojo uses turn-based duels to bring agents into direct competition. Instead of relying entirely on claims about an agent's intelligence, the competitive format creates an environment where its decisions and approach can be put to the test.
4. Performance creates room for development.
The training, competition, and progression concept suggests a continuous development cycle. Agents are not just built to participate once; the broader idea is to improve their capabilities through experience and strategic development.
What makes this interesting to me is the direction it points toward.
If AI agents are going to become more capable participants in digital environments, we will need better ways to evaluate their behaviour, decision-making, and consistency.
Benchmarks can tell us a lot, but competitive environments can reveal another dimension of capability.
That is the idea behind Agent Dojo that deserves closer attention.
I'm interested to see how far this model can develop as AI agents move beyond simply responding to instructions and toward demonstrating what they can actually do.
@agentdojo
AI DOESN'T JUST NEED TO BE SMART. IT NEEDS A PLACE TO PROVE IT.
We've seen AI agents write, answer questions, generate content and automate tasks.
But there's another interesting direction: what happens when AI agents are placed in an environment where their decisions actually matter?
That's the idea behind @AgentDojo.
Instead of treating AI agents as tools that simply respond to instructions, Agent Dojo introduces a training and battle arena where agents can be developed and tested through competition.
The interesting part is the shift in perspective.
An agent's potential shouldn't be judged by how impressive its description sounds. Its capabilities become much more interesting when there's an environment to put them to the test.
This opens up an entirely different way to think about AI development: not just building agents, but creating an environment where their abilities can be explored, challenged and improved.
AI is moving beyond conversations.
And Agent Dojo is exploring what comes next.
Keep your eyes on this one. ๐ฅ
Kryptek retweeted
in a changing game economy, making the right move at the wrong time can still cost you.
that's something players have to think about in @fomopoly_rh. when land prices increase as the game progresses, deciding when to buy, hold or sell becomes part of the strategy.
buying early might give you room to benefit from future growth, while waiting could mean entering at a much higher cost. but rushing into every opportunity isn't always the smartest move either.
the challenge is knowing when an opportunity makes sense and when patience is the better strategy.
explore $deal: fomopoly.com
๐ค Paid partnership
owning virtual land is one thing, but understanding how that land performs is another.
in a game like @fomopoly_rh, where plots generate stocks and $DEAL, players need more than just rewards. they need to understand what drives those rewards.
how much is a plot generating? what affects its performance? what changes as the game progresses?
clear information helps players make decisions based on what is actually happening instead of simply guessing.
that kind of transparency can make the experience more engaging because players aren't just participating in the economy, they're learning how it works.
explore fomopoly: fomopoly.com
Kryptek retweeted
an nft mint can create attention, but building an ecosystem that gives people a reason to stay is a different challenge.
that's what i'm watching with @fungolabs. the genesis collection is only the starting point.
with a launchpad and a game also on the roadmap, fungo is looking beyond digital collectibles and exploring how encrypted nfts can become part of a wider onchain experience.
what makes this worth following is the combination of ownership, utility, privacy and long term ecosystem development.
using zama's fhe technology, fungo is bringing encrypted digital assets into the picture without giving up the ability to interact with them onchain.
explore $fungo ecosystem; fungolabs.org/launchpad/
what if owning an nft didn't mean revealing everything about it?
that's the direction @fungolabs is exploring with fully homomorphic encryption (fhe).
by using zama's technology, fungo is making it possible to keep nft information encrypted while still allowing certain operations to happen onchain.
this opens up a different experience for digital ownership. holders can have more control over what stays private and what they choose to reveal, rather than having every detail exposed by default.
privacy shouldn't have to come at the expense of transparency or onchain functionality.
$fungo is exploring what becomes possible when both can work together๐
explore fungo ecosystem; fungolabs.org/launchpad/
Kryptek retweeted
Would you have come back to say thank you?
Just look at this conversation.
Someone I shared an alpha with, come back to say thank you. She made $450 soft.
I'm not a big kol, but I know how to make my friends good stimmy.
Kryptek retweeted
building an intelligent agent is one thing. finding out how well it performs under pressure is another.
@agentdojo makes competition part of the experience, giving AI fighters an arena where their decisions and strategies can be tested.
that's an interesting way to explore agent capabilities beyond simple demonstrations.
the real question is which fighters can consistently prove their intelligence. $ADOJO @rarelistio
Kryptek retweeted
some people still think AI is mostly for asking questions, generating images, videos and allโฆhehe
turns out, you can also tell it to buy you some INJ, notify you about your token prices and even more
introducing you to @MojoAI_HQ,
an AI-powered trading agent that lets you interact with your crypto wallet, make trades and set up market alerts through simple conversations.
i decided to give it a try, so deposited $21 usdc from my bybit into mojo.
the deposit reflected in my mojo wallet almost immediately, which was a good start.
next, i wanted to see if i could actually execute a trade just by chatting with the agent.
so i typed โbuy $20 worth of INJ with usdcโ
mojo understood the instruction and brought up a transaction card with the details as seen on frame 1
how much USDC would be used, the fee, the estimated INJ and the execution price.
i checked everything, approved it, and the trade went through within couple seconds
the result? 2.7090061 INJ at an execution price of $7.36.
the whole experience was swift and smooth
didnโt have to go searching through different menus to figure out where to place the order.
i just explained what i wanted, had a conversation with the agent and reviewed the transaction before approving it.
i also ran ran some swap on eth, usdc โ usdt, usdt โ usdc which was done with a command by my agent.
was enjoying the conversion with the agent so i decided to try something else outside buying and selling or swapping
i asked mojo to monitor hyperliquid and notify me when HYPE moves above $85.
again, it understood what i meant and prepared a monitoring agent called HYPE price alert.
it showed me that HYPE was trading at $83.86 at the time, explained how the alert would work and gave me the option to launch it.
the interesting part is that itโll check the price every 10 minutes, sends me a notification when it detects a move above $85, and re-arms after the price drops back to $85 or below.
it also explained the limitation, because it checks at intervals, a quick price spike between checks could be missed.
love the facts that it tells you these things before you approve anything.
the alert doesnโt touch your funds, and nothing starts until you approve it.
so far, iโve tried moving funds, executing an INJ trade and setting up a price-monitoring task, all through conversations.
still have more to explore, but iโm already enjoying how straightforward the experience feels๐
if you wanna try mojo and experience swift and easy trades or even more, use my referral code/link in the CS
gracias๐ซถ๐ป
#Mojo
Kryptek retweeted
Gm CT
Let's be productive.
๐ค Made with AI
Kryptek retweeted
gm ๐
What's your plan this Wednesday
Add @fomopoly_rh to it
Who is still awake and grinding?
Midnight thoughts?
@fomopoly_rh is more than just buying and selling land
Every plot holds potential, prices keep moving,and the hidden mechanics make every decision interesting
Onchain real estate with a twist
The game is just getting started
Kryptek retweeted
Three days after a project launched, the developer rugged the coin and left the community.
I was managing that community at the time , and honestly, watching everything fall apart was painful.
People had joined, supported the project, and believed in what was being built. Then suddenly, the developer was gone.
The people who trusted the project were left disappointed, with questions and no answers.
That experience stayed with me because it changed how I understood trust in Web3.
Before then, I believed that seeing a community active and people genuinely excited about a project was a good sign.
But watching that community get abandoned challenged that belief.
I realized that a project can have an active community and still lack the integrity needed to protect the people behind it.
What hurt most was knowing that the developer could walk away, but the people who believed in the project couldnโt simply walk away from the disappointment.
That experience strengthened something I now believe deeply: peopleโs trust should never be treated as disposable.
Because of that experience, this is what I would write on Page 10 of the Bitcoin Whitepaper:
โBehind every wallet is a person who chose to believe. Build with honesty, and never treat that trust as something you can walk away from.โ
My hope for Web3 is that we build a space where people donโt have to fear being abandoned by the very people they trusted.
A space where accountability matters, honesty isnโt optional, and building something meaningful means taking responsibility for the people who believe in it.
I canโt change what happened to that community, but I can carry what it taught me.
And if thereโs one lesson Iโd want the next chapter of Web3 to remember, itโs that trust is not just something you earn when people join. Itโs something you protect even when things go wrong.
#BitcoinWhitepaperDay #MEXC
๐ค Paid partnership
The whitepaper ended on Page 9. The next line is yours.
If you could add ONE line to the Bitcoin whitepaper, what would it say? Share a lesson, belief, or hope shaped by your Web3 journey.
๐ Reply with your line + MEXC UID. 20 participants will share 2,009 USDT.
Let's write Page 10, together. #BitcoinWhitepaperDay #MEXC
Kryptek retweeted
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Kryptek retweeted
Top of the morning winners!
Itโs mid-week already, itโs been a rough week for me though, lectures here and thereโฆ๐ช
we go again today :)
๐๐ซ๐จ๐ฏ๐ข๐๐ข๐ง๐ ๐ฅ๐ข๐ช๐ฎ๐ข๐๐ข๐ญ๐ฒ ๐จ๐ง ๐ ๐๐๐ ๐ฌ๐จ๐ฎ๐ง๐๐ฌ ๐๐๐ฌ๐ฒ ๐ฎ๐ง๐ญ๐ข๐ฅ ๐ญ๐ก๐ ๐ฆ๐๐ซ๐ค๐๐ญ ๐ฌ๐ญ๐๐ซ๐ญ๐ฌ ๐ฆ๐จ๐ฏ๐ข๐ง๐ .
You deposit two tokens into a pool so other people can trade them, and in return, you earn a share of the trading fees.
Sounds simple right?
But thereโs something many people donโt realise about liquidity provision.
On some exchanges, especially those using concentrated liquidity, you have to choose a price range for your funds.
Letโs say youโre providing liquidity for ETH and USDC.
You choose a range within which your funds will be used to facilitate trades.
Now, the price of ETH starts moving.
If it moves outside your selected range, your position may stop earning trading fees until you adjust it.
This means you canโt always deposit your funds and forget about them.
Someone has to keep an eye on the market and make adjustments when necessary.
This is the problem Steer Protocol is working on.
Steer builds tools that help automate liquidity management through something called Smart Pools.
Instead of requiring liquidity providers to constantly manage every position themselves, Steer uses predefined strategies to monitor market conditions and adjust liquidity positions.
The idea is to make liquidity management less demanding while helping protocols and liquidity providers use their capital more efficiently.
Recently, Steer announced an expansion to Cardano, bringing its automated liquidity management infrastructure to an ecosystem outside its previous EVM-focused deployments.
The team is also exploring how Bankr agents can help users create and operate their own liquidity vaults.
Thereโs something worth paying attention to here.
A lot of conversations around DeFi focus on trading, staking and earning yield.
But behind every decentralised exchange, thereโs a need for liquidity.
Without enough liquidity, traders may experience higher slippage, making it more expensive to buy or sell tokens.
Projects like Steer are working on the infrastructure that helps manage that liquidity.
Of course, automation doesnโt remove the risks. Liquidity providers can still lose money through market movements, impermanent loss and other risks associated with DeFi.
But itโs an interesting problem to work on, and one that doesnโt always get enough attention.
Have you ever provided liquidity on a DEX, or have you mostly interacted with DeFi through swapping and staking?
Kryptek retweeted
No shortcuts, no perfect beginnings. Just a broke frog with a dream and a story to tell.
Ca:
7J5LzGxZwYVLC7RKhV3nQdhjspfsqX6vdzDpd9gKpump
The DRYSMOKE journey continues. $DRY
