■ Navigating • 1% all day. iwrite{Collabs.} ijustdoit // lover of AI and agents
Joined May 2021
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𝗣𝗥𝗘𝗗𝗜𝗖𝗧𝗜𝗢𝗡𝗦 𝗕𝗘𝗬𝗢𝗡𝗗 𝗢𝗣𝗜𝗡𝗜𝗢𝗡𝗦: 𝗠𝗬 𝗗𝗔𝗘𝗝𝗜𝗡 𝗝𝗢𝗨𝗥𝗡𝗘𝗬
prediction markets have always been interesting to me because they turn opinions about future events into something people can actually participate in.
but beyond choosing YES or NO, there’s more to understand: how market prices work, how participants share a pool, what liquidity does, and how to create a market with clear rules.
that’s what led me to explore @Daejinxyz x @superteam
i decided to go beyond simply making predictions. i explored an existing crypto market, took a position based on my own reasoning, and created a football market of my own.
in this thread, i’ll share what i’ve learned about daejin, how shared-pool markets work, why i picked NO on solana outperforming bitcoin, and how i created my arsenal vs everton market.
let’s get into it. 🧵👇
Israel retweeted
Every big thing starts small. Every big project you see on the space today, started from somewhere, from an idea. 💡
This is the story of $INJ, told simply. But firstly, Happy Anniversary, Injective ! 🚀🥷
This is a thread that captures $INJ from the very beginning. Grab your popcorn and enjoyyyyyyy🌚🧵
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Date night plans should not be canceled because of shoe problem😂💳
From creating your virtual dollar card to funding it, @OnboardGlobal makes getting ready for international payments simple.
One less thing to worry about. More room for the good stuff.
Onboard. To the world. 🌍
#OneCryptoCardChallenge
@cryptocardsone
@OnboardGlobal
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I just cooked for Gamdom.
Everybody bring your plates. 😩🥹
Just call me Gamdom model. 🥵
#Gamdom100kRound2
#gamdom
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put $10 into @Changer_Plus today just to see what the fuss was about
sent 4.45 USDC on Solana and it landed in about a second with no gas token to go buy first, the fee came out of the USDC itself. that part is smooth ngl
the app is also clean, open it and you see your USDT and USDC, that's it. i didn't have to scroll past a pile of tokens I never asked for
if all you do is move stables around, it's worth a look
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A robot can complete a task perfectly in a demonstration and still struggle when one small detail changes.
A booked is moved. An object slips. Someone rearranges the room.
What looked like intelligence suddenly meets the unpredictability of the real world.
And that raises a question I keep coming back to:
What does it actually take to make a robot useful beyond a controlled environment?
It isn’t just about building a machine that can move. It’s about giving developers better ways to train, guide, test, and understand robotic behaviour.
That curiosity brought me to @InvLambda, a project building infrastructure for Physical AI.
I want to explore what it is creating, how its products fit together, and what I believe this could mean for the future of robotics.
Let’s get into it.
#InvertedLambda
Israel retweeted
gm my supportive frens 🫶🏼
another day to promote my GAMDOM entry till Steve notices.
your quotes will be very much appreciated 🥺
My GAMDOM entry!
Are you bold enough to play and win in 60 seconds? @gamdom
#Gamdom100kRound2
@stevewilldoit @kingadukes
Gamdom everywhere!!
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what do you mean fastlane can generate 30 winning ads just like that? 🤯
the speed is crazy fr
🤝 Paid partnership
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An autonomous agent doesn't just need intelligence.
It needs structure around the work it performs.
Take a simple job on an agent marketplace.
A Client posts a job with defined requirements and acceptance criteria.
A Provider quotes for it, gets accepted, and the payment moves into on-chain escrow.
The Provider does the work and submits the deliverable.
Then there's the part that matters when things don't go as planned.
During the challenge window, either side can challenge the result.
That's where the Evaluator role comes in, reviewing the specification against the submitted work before the job reaches final settlement.
And once it settles, the outcome can contribute to the agent's on-chain reputation.
That's one thing I find interesting about the AACP architecture behind @termix_ai.
It isn't treating agent commerce as:
Agent A → Agent B → Done.
It's giving the transaction distinct roles and checkpoints:
Client → Provider → Deliver → Challenge → Evaluate → Settle → Reputation
The interesting part isn't the terminology itself.
It's the separation of responsibilities.
Because once agents start handling real economic transactions, “let the agents figure it out” probably isn't enough.
They need rules for who can act, who can verify, how disputes are handled, and how an outcome becomes final.
That's the kind of infrastructure that's easy to overlook when most of the conversation is focused on how capable the agents are.
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This is the recap of this week @RialoHQ builders hub.
Let’s take a look at what was presented.
→ 𝐕𝐞𝐥𝐨𝐫𝐚
Velora is a DeFi vault that follows rules set by users. the demo showed ETH deposits and withdrawals on Sepolia, with predefined actions triggered by different signals.
It also brings vaults, analytics, and AI agents together, with daily limits and withdrawal restrictions to keep users in control.
→ 𝐑𝐢𝐚𝐥𝐨𝐯𝐞𝐫𝐬𝐞
Rialoverse brings swaps, games, and other tools together in one dark-mode platform.
The team also showed COMI, an AI guide, and an onchain wheel game. the aim is to make different activities accessible in one place without having to switch between multiple tabs.
gRialo…. see you next wednesday
Israel retweeted
wait so it studies competitors’ ads then just builds your own? absolutely insane!!
🤝 Paid partnership
Israel retweeted
GM CT🧡
Happy Friday
Still exploring what @rarelistio is building, connecting creators with early stage Web3 projects and rewarding meaningful contributions.
Quip is bringing Accounts, @quipnetwork Points, and swaps into one unified app.
The app will feature an order book, leaderboard, daily quests, and points boosts for holding a revealed Quantum Echo.
The Quest and Mindshare campaigns are ending, and all final points, including wallet launch campaign points, will be displayed in the unified app.
The goal is to make everything easier to access in one place.
We’re finally closer than we think
Be there 🫵
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Gm, my loves💕
Happy Fridayyyyy
Still exploring what @agentdojo is building; an arena where you train AI agents to become fighters, shape their strategies and fighting styles, and watch them battle in turn-based matches.
The interesting part is how training and strategy could influence their performance over time..
What are your plans for today?
gm,my loves 💕
The @agentdojo campaign on @rarelistio ends November 6.
If you haven't joined yet, this is your reminder to do so
Join here: rarelist.io/r/Web3_Jenyfa
Israel retweeted
𝗧𝗵𝗲 𝗥𝗼𝗹𝗲 𝗼𝗳 𝗩𝗲𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗔𝗿𝗼 𝗡𝗲𝘁𝘄𝗼𝗿𝗸
@AroNetwork brings together resources from different locations to support services such as content delivery and AI computing.
However, when a network depends on many different nodes, it needs a reliable way to confirm that they are doing the work they are expected to do.
𝘏𝘰𝘸 𝘤𝘢𝘯 𝘢𝘳𝘰 𝘯𝘦𝘵𝘸𝘰𝘳𝘬 𝘷𝘦𝘳𝘪𝘧𝘺 𝘵𝘩𝘢𝘵 𝘵𝘩𝘦𝘴𝘦 𝘯𝘰𝘥𝘦𝘴 𝘢𝘳𝘦 𝘱𝘦𝘳𝘧𝘰𝘳𝘮𝘪𝘯𝘨 𝘵𝘩𝘦𝘪𝘳 𝘵𝘢𝘴𝘬𝘴 𝘢𝘴 𝘦𝘹𝘱𝘦𝘤𝘵𝘦𝘥?
To understand how aro network handles this, we need to look at how it verifies the work performed by its network resources.
𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝘃𝗲𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗮 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗻𝗲𝘁𝘄𝗼𝗿𝗸
In a distributed network, resources come from different devices and locations. these resources may have different levels of computing power, internet speed, and connectivity.
Bringing these resources together is only one part of the process. the network also needs a way to check the work they perform and establish trust in their contributions.
Without reliable verification, it becomes difficult to confirm whether nodes are completing their assigned tasks as expected.
𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗮𝗿𝗼 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝗵𝗮𝗻𝗱𝗹𝗲 𝘁𝗵𝗶𝘀?
Aro network uses two protocols that play different roles in verifying work and maintaining trust.
𝟭. 𝗚𝗣𝗼𝗪 (𝗚𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲 𝗣𝗿𝗼𝗼𝗳 𝗼𝗳 𝗪𝗼𝗿𝗸)
GPoW operates at the resource level. It provides verifiable proofs of work performed by network resources, allowing the work to be checked rather than simply trusted.
𝟮. 𝗚𝗣𝗼𝗦 (𝗚𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲 𝗣𝗿𝗼𝗼𝗳 𝗼𝗳 𝗦𝘁𝗮𝗸𝗲)
GPoS supports on-chain verification, settlement, and governance of work proofs. validators stake tokens as collateral to help secure the network.
Together, these protocols help aro verify work performed by its resources and maintain trust across the network.
𝗪𝗵𝘆 𝗶𝘀 𝘁𝗵𝗶𝘀 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁?
Aro brings together resources from different locations to support services such as peer-to-peer content delivery and AI computing.
For this to work, the network needs more than available hardware and internet bandwidth. it also needs a reliable way to verify the work performed by those resources.
By combining verifiable work proofs with on-chain verification, aro network builds a foundation for coordinating distributed resources and delivering services across its network.
