web3 writer/ vibing / check my highlights ๐ซถ
curio_ city ๐
Joined May 2018
- Tweets87K
- Following4.2K
- Followers4.6K
- Likes164K
๐ค๐จ๐๐ก๐ง๐จ๐ _ ๐ฌ retweeted
Rarelist Quest ๐ซจ
We've partnered up with @rarelistio and they've hooked our community up with Free Mint spots.
Rarelist is a curated launch platform where you can contribute and earn.
The first 500 early birds get an X2 chance, everyone else gets the standard one.
We've also thrown some chests into the prize pool.
Link below ๐
๐ค๐จ๐๐ก๐ง๐จ๐ _ ๐ฌ retweeted
@rarelistio is exploring a model that recognizes this reality.
If you're interested in discovering emerging projects, creating valuable content, and participating in community-driven campaigns, Rarelist is worth exploring.
Join the campaign here
rarelist.io/r/ABSMARTGEE
was scrolling through a random comment section when i came across an interesting question:
what's the difference between opinion markets and prediction markets?
think about that one family group chat where everyone argues over whether Christmas actually makes people happier.
everyone has an opinion, but nobody is changing their mind.
now imagine putting those opinions to a vote, with money behind them.
that's where bโด comes in.
it's not another prediction market where you're guessing what happens next.
it's an opinion market where the crowd's vote determines the outcome.
โ stake early and get up to 2ร weight.
โ back the side you believe in.
โ if your side wins, you get a share of the other pool.
sometimes, having an opinion isn't enough.
back your take.
People have opinions about almost everything. But what if those opinions could become more than just conversations?
That's the idea behind bโด.
bโด is building an opinion market where people choose YES or NO on questions that don't have a definite right or wrong answer.
Imagine a question: Does the festival season actually make people happier?
People pick a side and put money behind their opinion. When the poll closes, the side with more vote weight wins. Winners get their stake back, plus a share of the losing side's pool.
Timing also matters. Early stakers can get up to 2ร vote weight, which decreases as the poll progresses. This can give them a bigger share of the pool if their side wins.
Don't just share your opinion. Put something behind it.
b4app.xyz/r/92E5IS
There's also a lot happening on bโด, including activities and rewards. I'll share more about those in my next posts.
๐ค๐จ๐๐ก๐ง๐จ๐ _ ๐ฌ retweeted
Everyone deserves a chance
If you are builder looking for a way to build with your AI coding agent and earn reward, check out made(.)fun
enter bounties and buildbwith your AI coding agent effortlessly, the platform score your submission and reward is earned in USDC
Sign up for free:
make.fun/r/kf55n8bx
๐ค Paid partnership
new campaign to check out: @hypesium
Hypesium is now live on Elysium mainnet.
it's a Telegram sniper bot built for fast trading on Kinetiq's Hyperliquid L2.
here's what you can do:
โ bridge from any EVM chain.
โ buy and sell in seconds.
โ snipe new tokens as liquidity opens.
โ track positions, P/L and set sell limits.
get started ๐
t.me/hypesium_bot
the goal is simple: be ready when new launches go live.
๐ค๐จ๐๐ก๐ง๐จ๐ _ ๐ฌ retweeted
A token can have several utilities on its roadmap and still have very little of that utility working today.
That's why the details in @strato_net 's $STRATO tokenomics are worth examining.
Three things stand out:
โ Gas: Transactions currently cost 0.01 USDST. Paying gas in $STRATO is planned.
โ Staking: The staking contracts are implemented and active on testnet, with mainnet activation scheduled at block 1,000,000.
โ Borrowing benefits: $STRATO holders are expected to receive lower USDST borrowing fees, but this feature isn't implemented yet.
I like that these distinctions are documented. They make it easier to separate what the network already supports from what it intends to introduce.
For a HardFi network, that distinction matters. Token utility should grow alongside actual financial activity, not just exist as a list of promises.
๐ค๐จ๐๐ก๐ง๐จ๐ _ ๐ฌ retweeted
this is something @sight_hood users should pay attention to:
once a market is resolved, eligible winnings aren't automatically sent to your wallet.
You have to claim them manually.
๐ต๐ฒ๐ฟ๐ฒ'๐ ๐๐ต๐ฎ๐ ๐๐ผ ๐ธ๐ป๐ผ๐:
> connect the wallet you used to participate.
> wait for the market to reach its final result.
> If you're eligible for a payout or refund, claim it from the platform.
> make sure you do this within 14 days of resolution.
_________________+__________________
why does the deadline matter?
After 14 days, unclaimed funds can be swept and lost.
So if you're using Sight, don't just focus on picking the right outcome.
Remember to claim your winnings too.
๐ค๐จ๐๐ก๐ง๐จ๐ _ ๐ฌ retweeted
galxe is officially winding down its questing business to focus fully on Gravity L1.
after 5+ years, 36M users and 7,700+ partner projects,galxe Quest, Galxe ID and Galxe Passport are being phased out.
here are some important dates to keep in mind:
โ Dec 5, 2026: last day to participate in campaigns.
โ Dec 15, 2026: reward claims close and the website goes read-only.
but gravity will continue operating as usual, and thereโs no change to the G token as part of this transition.
one important thing: if you have unclaimed campaign rewards, make sure you claim them before Dec 15.
quite an end to an era for one of Web3โs familiar questing platforms.
๐ค๐จ๐๐ก๐ง๐จ๐ _ ๐ฌ retweeted
People have opinions about almost everything. But what if those opinions could become more than just conversations?
That's the idea behind bโด.
bโด is building an opinion market where people choose YES or NO on questions that don't have a definite right or wrong answer.
Imagine a question: Does the festival season actually make people happier?
People pick a side and put money behind their opinion. When the poll closes, the side with more vote weight wins. Winners get their stake back, plus a share of the losing side's pool.
Timing also matters. Early stakers can get up to 2ร vote weight, which decreases as the poll progresses. This can give them a bigger share of the pool if their side wins.
Don't just share your opinion. Put something behind it.
b4app.xyz/r/92E5IS
There's also a lot happening on bโด, including activities and rewards. I'll share more about those in my next posts.
this is something @sight_hood users should pay attention to:
once a market is resolved, eligible winnings aren't automatically sent to your wallet.
You have to claim them manually.
๐ต๐ฒ๐ฟ๐ฒ'๐ ๐๐ต๐ฎ๐ ๐๐ผ ๐ธ๐ป๐ผ๐:
> connect the wallet you used to participate.
> wait for the market to reach its final result.
> If you're eligible for a payout or refund, claim it from the platform.
> make sure you do this within 14 days of resolution.
_________________+__________________
why does the deadline matter?
After 14 days, unclaimed funds can be swept and lost.
So if you're using Sight, don't just focus on picking the right outcome.
Remember to claim your winnings too.
๐ค๐จ๐๐ก๐ง๐จ๐ _ ๐ฌ retweeted
Been exploring @Octos_official , and I'm excited to learn more about what they're building.
Octos is working toward building its own ecosystem, with a first product launch and community expansion planned for Q4.
What's interesting is its focus on early community participation, with a 300K grant pool allocated to support product development and community building.
I'm looking forward to seeing what the team delivers and being part of the journey .
Still early, and there's more to come. ๐
#Octos #Web3
๐ค๐จ๐๐ก๐ง๐จ๐ _ ๐ฌ retweeted
gm and happy new week.
taking profits is an art of its own.
you're either:
โ too early
โ too late
โ or lucky enough to time it perfectly.
but one thing is certain, you'll rarely regret securing profits.
wish you all a profitable week. ๐ซถ
๐ค๐จ๐๐ก๐ง๐จ๐ _ ๐ฌ retweeted
What Makes PrismaX a Service Layer for Physical AI?
Building a capable robot is not just about better hardware or smarter AI models. It also requires the right kind of real world experience.
This is where things get difficult.
Robots need demonstrations of how humans interact with objects, complete tasks, and respond to different environments.
Collecting this data consistently, while maintaining its quality, is a challenge for robotics teams.
@PrismaXai is approaching this problem by connecting the entire data process.
It brings together three important parts:
โ Teleoperation: Skilled operators control real robot arms and humanoids, creating demonstrations that AI models can learn from.
โ Egocentric Data: People record everyday tasks from a first person perspective, giving models another way to learn how humans interact with the physical world.
โ Custom Data Collection: Teams can request specific tasks, robot types, and environments when existing datasets don't meet their requirements.
There is also a searchable data bank where developers and researchers can access existing robotics demonstrations instead of building every dataset from scratch.
What makes this approach interesting is that @PrismaXai isn't simply offering a place to download data.
It connects the people collecting demonstrations, the processes used to review them, and the teams that need those demonstrations to train physical AI.
That is what makes the service layer concept important.
As robotics models evolve, their data requirements will change too. Having infrastructure that can support both existing and customized data needs could make that process easier.
The real question is how well this system can scale as demand for physical AI training data grows.
The next generation of AI won't improve only by learning from more information.
It will improve by learning from the consequences of its own actions.
โ
The Robots โ Data โ Intelligence cycle is what makes this interesting.
A robot interacts with the physical world, whether it's picking up an object, sorting items, or completing a household task.
Those interactions produce valuable training data, including visual observations, movements, and sensor information.
AI models learn from these experiences and become better at deciding what to do in similar situations.
โ
But the interesting part is what happens next.
An improved model can handle more complex tasks and unfamiliar environments.
Those new interactions generate different experiences, which become another source of learning.
It's a continuous feedback loop rather than a one time training process.
โ
I think this changes how we should look at robotics development.
The challenge isn't simply building a smarter model.
It's creating a reliable system where real world experience continuously improves the intelligence behind the machine.
โ
That's the direction @PrismaXai is working toward.
Its approach connects robot operations, structured data collection, human operators, quality reviews, and model training into one process.
The real advantage of this cycle could be its ability to turn every deployment into an opportunity to learn something new.
๐ค๐จ๐๐ก๐ง๐จ๐ _ ๐ฌ retweeted
perps bring more opportunities to the table, in both directions
but leverage comes with risks, and every move needs a strategy
trade smart and stay ahead with DeBox
๐ค๐จ๐๐ก๐ง๐จ๐ _ ๐ฌ retweeted
Imagine having an AI assistant that doesnโt just answer questions but also evaluates the work you contribute to a community.
Thatโs an interesting direction for @IPXExchange
One thing I found interesting while exploring Fan SZN is Alfred AI.
Alfred isnโt just there to chat with users. It plays a role in reviewing contributions made through Fan SZN side quests.
For example, you might be asked to create a Fan Card, share it on X, support a campaign or complete a specific community task.
After completing the task, you submit your proof for review.
Alfred AI work get started from here.
It helps evaluate submissions and determine whether the task has been completed, with Aura Points awarded for qualifying contributions.
I like this approach because it gives community activities a bit more structure.
Instead of people just showing up to farm engagement, thereโs a clear task to complete and a way to submit proof of your work.
Of course, the exact scoring process isnโt fully public, but the idea is interesting.
IPX is exploring how AI can help recognise and evaluate what people actually contribute to a community.
And I think thatโs worth paying attention to.
Get started here: fanszn.ipx.exchange/i/FAN-ZEโฆ
๐ค๐จ๐๐ก๐ง๐จ๐ _ ๐ฌ retweeted
You don't have to wait until you have a perfect environment before you take your goals seriously
Use what you have
Learn what you need
Make improvements as you go
You may not be able to control every circumstance, but you can still make use of the opportunities available to you