One thing I find interesting about @Starknet is how it approaches quantum resistance.
Instead of relying on a network-wide upgrade to change cryptographic security its programmable accounts allow developers to introduce new signature schemes without a hard fork.
STARK proofs use hash-based cryptography while account abstraction makes it possible to adapt transaction authorization as security requirements evolve.
That matters because protecting wallets against future quantum threats isn't just about having stronger cryptography.
It's about being able to upgrade without rebuilding the entire system.
Starknet is still working through its full migration but the flexibility behind its architecture is worth paying attention to.
The most interesting part of Web3 is that nobody knows exactly what the finished picture will look like.
We are watching an industry evolve in real time. Ideas are being tested, old assumptions are being challenged, and entirely new possibilities are opening up.
What makes this exciting is that participation doesn't require everyone to have the same skills.
A developer might solve a technical problem. A researcher might discover something others overlooked. A creator might help thousands of people understand an idea they previously found complicated.
Different contributions but all connected to the same bigger picture.
I sometimes think about how much has changed since Bitcoin introduced its vision of peer-to-peer electronic money. What once seemed like an alternative experiment became the foundation for an entirely new industry.
And somewhere along this journey, we reached Page 10.
For me, this page represents an opportunity to look beyond personal achievements and think about what we can collectivel.
@MEXC
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
Scored 88/100 in the Spot the AI Trap challenge by @MEXC created in collaboration with AP Collective.
At first, I thought it would simply be another online challenge, but it turned out to be a useful reminder of how important digital awareness has become.
One thing that stood out to me is how convincing AI-generated content and suspicious online interactions can look today. Sometimes, even a small detail can make the difference between recognizing a threat and falling for it.
In crypto, we often focus on trading strategies, market opportunities and discovering promising projects. But protecting our accounts and digital assets is equally important.
A single careless click, an unverified link or a fake message can put our accounts at risk. That's why security should be part of our daily habits, not something we think about only when a problem occurs.
This is also why I appreciate the security approach taken by @MEXC.
Its Guardian Fund, backed by over $100M and 2,000 BTC, reflects an effort to provide additional protection for users.
Alongside that, features such as anti-phishing protection, 2FA and withdrawal whitelisting give users more tools to strengthen their account security.
Of course, no security measure can replace personal awareness. Users also need to question unexpected requests, verify suspicious messages and avoid sharing sensitive information without checking the source.
For me, the biggest takeaway from this challenge wasn't the score itself. It was the reminder that staying safe online requires constant attention and better decision-making.
Final score: 88/100
Not a perfect result, but a valuable experience that made me more conscious of the risks we face in the digital world.
Think you can spot the AI traps?
Take the Spot the AI Trap challenge and test your own awareness:
ai-safety-score.apcollectiveโฆ
AI scams are getting harder to spot than the real thing
We built the AI Safety Score with @MEXC to test how safe you really are
Try it now: ai-safety-score.apcollectiveโฆ
Most people focus on making crypto faster and cheaper but I think the next big challenge is making it secure enough for the future.
Thatโs one reason @Starknet caught my attention.
Its account abstraction gives users the flexibility to change signature schemes without waiting for a network-wide upgrade.
This becomes especially important as quantum computing continues to advance.
The interesting part is that Starknet isnโt just thinking about how blockchain works today but also how it might need to evolve tomorrow.
Building for the future means preparing for threats before they become problems.
And thatโs the kind of innovation crypto needs more of.
Prediction markets become more interesting when you can learn from how other people approach them.
Thatโs what caught my attention about @bagel_win .
It brings market discovery and trading together allowing users to follow predictors explore their positions and copy trades directly from the mobile app.
But copying a position doesnโt mean getting the same entry price.
If someone entered at 40ยข and the market is now at 60ยข, the potential return is already different.
Thatโs why Bagelโs market and limit orders are useful giving users more control over how they enter a trade.
For me, the real value is making it easier to discover a position while still leaving room to make your own decision.
Following someoneโs trade can be a starting point, but understanding the price youโre paying matters just as much.
Quantum computing is still evolving but blockchain developers already have a reason to think ahead.
@Starknet is taking an interesting approach by looking beyond the security assumptions used today.
Its STARK proofs rely on hash-based cryptography while other parts of the ecosystem may need different solutions as quantum technology advances.
What makes this worth exploring is the ability to adapt over time.
Smart contract accounts can update their signature verification logic without changing wallet addresses while experimental Falcon-512 integration explores quantum-resistant authentication.
The goal isn't just to make blockchain secure today.
It's to make sure the infrastructure can evolve when tomorrow's security requirements become different.
Prediction markets are becoming easier to explore but the real challenge is making the experience simple without losing the depth.
That's where @bagel_win stands out to me.
Bagel brings Polymarket's existing markets and liquidity into a mobile-friendly app giving users a more convenient way to follow events and explore probabilities.
You can enter at the current price set a limit order for your preferred entry or combine multiple outcomes through combo orders.
There's also an AI layer to help users understand market movements and explore different possibilities.
What I like about this direction is that it gives people more flexibility without making every decision for them.
You still need to do your own research, understand the risks and decide which positions make sense.
Bagel is making prediction markets more accessible and that's a meaningful step forward.
Mobile-first prediction markets are making it easier to participate in global events anytime, anywhere.
bagel.win/?ref=EEX2HK
That's what makes @bagel_win worth exploring.
Bagel brings a mobile-first prediction market experience to users in 150+ countries and regions, leveraging Polymarket's markets and liquidity.
Beyond simply predicting outcomes, Bagel introduces AI-powered market insights and recommendations to help users better understand market trends and make more informed decisions.
It also supports different trading strategies:
๐น Market Orders: Enter a position instantly at the best available price.
๐น Limit Orders: Set your preferred price and wait for execution.
๐น Combo Orders: Combine multiple predictions into one position for a more flexible strategy.
For me, the interesting part is how Bagel combines mobile accessibility, AI insights and existing prediction market liquidity into one experience.
Prediction markets are becoming more accessible, and Bagel is worth keeping an eye on.
Not financial advice.
AI agents donโt need to know how to do everything.
They need a way to find the right agent for the job.
Thatโs what makes @termix_ai interesting to me.
Through agent family an agent can offer its own services receive paid tasks or hire another agent when it needs skills beyond its capabilities.
The process goes beyond simple communication.
Services can be purchased through escrow, with payment released after the work is completed and accepted.
This opens up a different way to think about AI.
Instead of one agent handling every request, specialized agents can work together, exchange services and build their own commercial relationships.
The future of AI may not be about having one agent that does everything, but an entire network of agents that know how to get things done.
Thatโs the direction @termix_ai is exploring.
What if prediction markets were more than just numbers moving on a screen?
Thatโs an interesting angle to explore with @bagel_win
Bagel brings Polymarket markets into a mobile-friendly environment where users can explore different outcomes, follow experienced predictors, and discover what others think about upcoming events.
The platform combines:
โ Social conversations around market outcomes
โ AI-powered insights and analysis
โ One-tap copy trading
โ Market, limit, and combo orders
โ Rewards through referrals and copy trading fees
The part I find interesting is how Bagel connects market information with community perspectives.
Instead of viewing odds in isolation, users can explore the reasoning and sentiment behind different predictions.
Of course, market access and participation depend on local regulations, and financial risks should never be ignored.
With @bagel_win Iโm curious to see how social discovery and prediction markets evolve together.
์์ธก ์์ฅ๊ณผ ์ผํ, ๋ฌด์์ ์ฃผ์ํด์ผ ํ ๊น์?
์น3์์ ์์ธก๋ง์ผ์ ์ธ๊ธฐ์ ์ํฅ๋ ฅ์ ์ ์ ์ปค์ง๊ณ ์์ต๋๋ค !
์ ์น, ๊ฒฝ์ , ์คํฌ์ธ , ์ํธํํ ๋ฑ ๋ค์ํ ์ฌ๊ฑด์ ๊ฒฐ๊ณผ๋ฅผ ์์ธกํ๊ณ ๊ฑฐ๋ํ ์ ์๋ค๋ ์ ์์ ์๋ก์ด ์์ฅ์ผ๋ก ์ฑ์ฅํ๊ณ ์์ต๋๋ค.
ํ์ง๋ง ์ด์ ๋ณ๊ฐ๋ก ๋๋ถ๋ถ์ ๊ตญ๊ฐ์์ ์ด๋ฐ ์์ธก๋ง์ผ์ ์์ ๋กญ๊ฒ ์ด์ฉํ ์ ์๋ ๊ฒ์ ์๋๋๋ค. ๋๊ฒ ๋ชจ์์ ์ธ ์ํฉ์ธ๊ฑฐ ๊ฐ๋๋ผ๊ตฌ์
์ด๋ฒ์ @KaitoStudio_ ์์ @bagel_win ์ด๋ผ๋ ์ ๊ท ์์ธก๋ง์ผ ํ๋ซํผ ์ผํ์บ ํ์ธ์ด ์ด๋ ธ์ต๋๋ค!
๊ทธ๋ผ ์ด๋ฐ ์์ธก๋ง์ผ ์นด์ดํ ์ผํ์ ๋๊ฐ ์์ ๋กญ๊ฒ ํ ์ ์๋๊ฒ์ธ๊ฐ ๊ฐ์๊ธฐ ๊ฟ๊ฟ์กด์ด ๊ถ๊ธํด์ ธ์ ์์๋ดค์ต๋๋ค!!
๋๋ผ๋ณ ์์ธก๋ง์ผ ๊ท์ ๋ฅผ ์ดํด๋ณผ๊น์?
๊ตญ๊ฐ๋ณ ๊ท์ ์ฐจ์ด
โ
ํฉ๋ฒยท๊ท์ ์ฒด๊ณ๊ฐ ์๋ ๊ณณ
๐บ๐ธ ๋ฏธ๊ตญ: Kalshi ๋ฑ CFTC ๊ฐ๋
์ ๋ฐ๋ ํ๋ซํผ์ด ์์ง๋ง, ์ํ๋ณยท์ฃผ๋ณ๋ก ๋ฒ์ ์์ ์ด ์กด์ฌ
(โ ๏ธ ๋ฏธ๊ตญ์์๋ ์คํฌ์ธ ๊ด๋ จ ๊ณ์ฝ์ ์ผ๋ถ ์ฃผ์์ ๋ฒ์ ๋ถ์์ด ์งํ๋๊ณ ์์ต๋๋ค.)
๐ฌ๐ฎ ์ง๋ธ๋กคํฐ: ์์ธก ์์ฅ ๊ด๋ จ ๊ท์ ์ฒด๊ณ์ ๊ตฌ์ฒด์ ์ธ ์ํ ์ฌ๋ถ์ ๋ฒ์ ํ์ธ ํ์
๐ซ ์ด์ฉ ์ ํ ๋ฐ ๊ท์ ๋ฆฌ์คํฌ๊ฐ ์๋ ๊ตญ๊ฐ
๐ช๐บ ํ๋์ค, ์คํ์ธ, ์ดํ๋ฆฌ์, ๋
์ผ, ์๊ตญ ๋ฑ ์ ๋ฝ ์ผ๋ถ ๊ตญ๊ฐ
๐ฐ๐ท ํ๊ตญ (ํ๊ตญ์ ์ผ๋ถ ํ๋ซํผ ์ ์ ์ฐจ๋จ ๋ฐ ์ด์ฉ์ ์์ฌ ๊ด๋ จ ์ด์ ์กด์ฌ)
๐ ์ธ๋, ํธ์ฃผ, ๋ด์ง๋๋, ํ๋ฆฌํ ๋ฑ
๐ ๋ธ๋ผ์ง ๋ฑ ์ค๋จ๋ฏธ ์ผ๋ถ ๊ตญ๊ฐ
์ด๋ ๊ฒ ๋๋ฉด ๊ฑฐ์ ๋๋ถ๋ถ์ ๋๋ผ์์๋ ์์ธก๋ง์ผ์ ํ์ฉํ์ง ์๊ณ ์๋ ์ํฉ์์ ์ฐ๋ฆฌ๋ ์ด๋ป๊ฒ ์ผํ์ ํด์ผํ ๊น์?
@grok ์๊ฒ ๋ฌผ์ด๋ณด๋ ์ด๋ ๊ฒ ๋ตํด์คฌ์ต๋๋ค!
ํ๋ก์ ํธ๋ฅผ ์๊ฐํ๊ณ , ์์ฅ์ ํ๋ฆ์ ๋ถ์ํ๋ฉฐ, ์ปค๋ฎค๋ํฐ์ ์ํตํ๋ ๊ฒ์ InfoFi ํ๋์ ์ค์ํ ๋ถ๋ถ์
๋๋ค. ํ์ง๋ง ํ๋ก์ ํธ์ ๊ธฐ์ ๊ณผ ์ฐ์
๋ํฅ์ ์๊ฐํ๋ ๊ฒ๊ณผ ํน์ ํ๋ซํผ์ ์ด์ฉ์ ์ ๊ทน์ ์ผ๋ก ์ ๋ํ๋ ๊ฒ์ ๊ตฌ๋ถํ ํ์๊ฐ ์์ต๋๋ค.
โ
์์ธก ์์ฅ์ ์๋ ์๋ฆฌ์ ๊ธฐ์ ์ ํน์ง ์๊ฐ
โ
๊ท์ ๋ํฅ๊ณผ ๊ธ๋ก๋ฒ ์์ฅ ๋ณํ์ ๋ํ ์ ๋ณด ๊ณต์
โ
์ ๋์ฑ, ๊ฐ๊ฒฉ ํ์ฑ, ์์ฅ ์ฐธ์ฌ์์ ๊ธฐ๋ ์ฌ๋ฆฌ ๋ถ์
โ
ํ๋ก์ ํธ์ ํฌ๋ช
์ฑ, ์ ์ฐ ๊ตฌ์กฐ, ๋ฆฌ์คํฌ ๊ด๋ฆฌ ๋ฐฉ์์ ๋ํ ๋
ผ์
๋ฐ๋ฉด ๋ค์๊ณผ ๊ฐ์ ํ๋์ ๋์ฑ ์ ์คํด์ผ ํฉ๋๋ค.
โ ๏ธ ๊ตญ๋ด์์ ์ด์ฉ์ด ์ ํ๋ ํ๋ซํผ์ ์ฐํ ์ ์ ๋ฐฉ๋ฒ ์๋ด
โ ๏ธ ๋ ํผ๋ด ๋งํฌ๋ ๋ณด์์ ํตํด ์ด์ฉ์์ ์ฐธ์ฌ๋ฅผ ์ ๊ทน์ ์ผ๋ก ์ ๋ํ๋ ํ์
โ ๏ธ ๊ตญ๋ด ์ด์ฉ์ด ํฉ๋ฒ์ ์ผ๋ก ๋ณด์ฅ๋ ๊ฒ์ฒ๋ผ ํํํ๋ ํ๋ณด
โ ๏ธ ๊ธ์ต์ ยท๋ฒ์ ์ํ์ ์ถ์ํ๊ฑฐ๋ ์์ต์ ๊ณผ์ฅํ๋ ์ฝํ
์ธ
ํนํ ํ๊ตญ์์๋ ๋๋ฐ ๊ด๋ จ ๋ฒ๋ฅ ์ด ์๊ฒฉํ๊ฒ ์ ์ฉ๋ ์ ์์ผ๋ฉฐ, ํด์ธ ํ๋ซํผ์ ์ด์ฉํ๋ค๊ณ ํด์ ๊ตญ๋ด ๋ฒ๋ฅ ์ ์ ์ฉ ๊ฐ๋ฅ์ฑ์ด ์๋์ผ๋ก ์ฌ๋ผ์ง๋ ๊ฒ์ ์๋๋๋ค.
๋ฌผ๋ก ๋ชจ๋ ์์ธก ์์ฅ์ด ๋์ผํ๊ฒ ์ทจ๊ธ๋๋ ๊ฒ์ ์๋๋๋ค. ์ํ์ ๊ตฌ์กฐ, ๊ฑฐ๋ ๋์, ๊ธ์ ์ ๊ฐ์น์ ์ ๋ฌด, ์ ์ฐ ๋ฐฉ์, ์ด์ ์ฃผ์ฒด ๋ฑ ๊ตฌ์ฒด์ ์ธ ์ฌ์ค๊ด๊ณ์ ๋ฐ๋ผ ๋ฒ์ ํ๋จ์ด ๋ฌ๋ผ์ง ์ ์์ต๋๋ค.
๊ฟ๊ฟ์กด์ ์๊ฐ ๐ท
์ฌ์ค ์์ง๊น์ง ์ง์ ์์ธก๋ง์ผ์ ์ด์ฉํ์ง ์๋ ์ด์ X ์ ํฌ์คํ
ํ๋ ๊ฑธ๋ก๋ ์ฒ๋ฒ์ด๋ ์ ์ฌ๋ฅผ ๋ฐ์ ์ ์ ์๋๊ฑฐ ๊ฐ์ต๋๋ค
์๋ง์ ํฌ๋ฆฌ์์ดํฐ๋ค์ด ์์ธก๋ง์ผ ํฌ์คํ
์ ํด์๊ณ ํ๊ณ ์๋ ์ด์ ๊ฒ ์ฃ ?
๊ทธ๋๋ ๊ทธ๋ก์ด ์๋ ค์ค ์ต์ํ์ ์ ์์ฌํญ์ ๊ผญ ์ฃผ์ ํ๋ฉด์ ์ผํ์ ํด๋ณผ๊น์?
๊ทธ๋ผ ์ Bagel ํ๋ซํผ์ ๊ธฐ์ ์ ํน์ฑ์ ๋ํด ์ด๋ฒ์ ์์๋ณด๊ฒ ์ต๋๋ค!
@bagel_win ์ 150๊ฐ ์ด์์ ๊ตญ๊ฐ์ ์ง์ญ์์ Polymarket์ ๋ง์ผ๊ณผ ์ ๋์ฑ์ ๋ชจ๋ฐ์ผ ํ๊ฒฝ์์ ํธ๋ฆฌํ๊ฒ ์ด์ฉํ ์ ์๋๋ก ์ค๊ณ๋ ์์ธก์์ฅ ํ๋ซํผ์
๋๋ค.
์ํญ์ผ๋ก ์์ ์์ธก๊ฐ์ ๊ฑฐ๋๋ฅผ ์นดํผ ํธ๋ ์ด๋ฉํ๊ณ , ์์
ํ ๋ก ๊ณผ AI ๊ธฐ๋ฐ ์์ฅ ๋ถ์ ๋ฐ ์ถ์ฒ์ ํตํด ๋ ๋์ ์์ฌ๊ฒฐ์ ์ ์ง์ํฉ๋๋ค. ๋ํ ์ฝค๋ณด ์ฃผ๋ฌธ, ์์ฅ๊ฐ ์ฃผ๋ฌธ, ์ง์ ๊ฐ ์ฃผ๋ฌธ์ ์ ๊ณตํ๋ฉฐ, Rewards Center์์๋ ์ถ์ฒ ๋ฐ ์นดํผ ํธ๋ ์ด๋ฉ ์์๋ฃ ์์ต๊ณผ VIP ๋ฐฐ์ง, ๋ฑ๊ธ๋ณ ํํ๊น์ง ์ ๊ณตํฉ๋๋ค.
์ค๋ ์์ฒญ ๊ธ์ด ๊ธธ์๋ค์
๋ค๋ค ํ๋ณตํ ํ๋ฃจ ์์ํ์ธ์๐ท
An AI agent can perform tasks but turning that ability into a paid service is where things get interesting.
Thatโs the idea behind @termix_ai .
Instead of keeping agents limited to individual tools TermiX is building a marketplace where they can discover services collaborate and exchange value.
โ Agents can find specialized skills
โ Tasks can be coordinated between different agents
โ Payments can be handled through on-chain infrastructure
The bigger opportunity is making AI useful beyond a single conversation.
If agents can reliably deliver work and get paid for it they become more than assistants.
They become participants in a digital economy.
Thatโs what makes the agent economy worth watching.
The future of finance isn't just about moving assets onchain.
It's about making that transition without exposing everything behind every transaction.
DTCC's new Tokenization Service is a meaningful step with 20 participants joining on day one.
@zksync is one of the firms collaborating with DTCC with Matter Labs providing privacy features through Prividium.
Because institutions need more than blockchain access.
They need privacy, control and infrastructure that fits the way they already operate.
This is where tokenization starts becoming practical for traditional finance.
A strong signal for the future of $ZK.
Congrats to @The_DTCC on the launch of its Tokenization Service. Weโre proud to be among the firms collaborating with DTCC.
@the_matter_labs is providing privacy features with Prividium.
DTCC provides custody and asset servicing for more than $114 trillion in securities.
Congrats to @The_DTCC on the launch of its Tokenization Service. Weโre proud to be among the firms collaborating with DTCC.
@the_matter_labs is providing privacy features with Prividium.
DTCC provides custody and asset servicing for more than $114 trillion in securities.
Most people think privacy in DeFi means keeping their wallet address hidden.
But what about the financial patterns behind it?
Your balance transaction history and trading decisions can reveal a lot about you even without knowing your identity.
Thatโs why I find the work of @primus_labs worth following.
With FHE the idea is to let financial data remain encrypted while computations still take place.
Imagine being able to use DeFi without exposing every detail of your financial activity.
That could change how people interact with onchain finance.
Privacy shouldn't mean giving up utility.
AI agents are becoming more capable but the next step is giving them a way to work together and create real value.
Thatโs what makes @termix_ai interesting to me.
Through its AACP infrastructure agents can offer services hire others and handle payments through onchain escrow.
Reputation and dispute resolution add another layer of accountability which becomes important when agents start doing business with each other.
The Skills integration also opens up new possibilities.
Compatible coding agents can connect through Agent IDs and communicate beyond a single marketplace.
I think the bigger opportunity is turning AI from something that simply assists people into something that can participate in a working economy.
And TermiX is exploring that direction.
DeFi needs a better balance between transparency and privacy.
Not every financial detail should be public just to prove something is legitimate.
This is where @primus_labs brings an interesting approach.
With zkTLS for data verification and FHE for encrypted computation Primus is exploring how users can prove what matters without exposing everything behind it.
This could make privacy-preserving lending, asset verification and other DeFi use cases more practical.
The goal is simple: build trust without giving up control over personal data.
A direction worth watching as Web3 evolves.
Trust is important in Web3 but sharing private data just to prove something shouldn't be the only option.
This is the problem @primus_labs is working on with zkTLS.
It helps verify information from Web2 platforms through cryptographic proofs reducing the need to rely on screenshots or expose sensitive account details.
The potential goes beyond identity or social activity.
Verified offchain data could also help AI agents and Web3 applications make decisions based on information they can actually prove.
Privacy and verification don't have to compete with each other.
Physical AI needs more than powerful models.
It needs a better understanding of the places where it operates.
Thatโs where @vangrid_io is taking an interesting approach.
Instead of collecting random footage and hoping someone needs it later Vangrid allows specific locations and capture tasks to be requested through its bounty system.
Contributors visit those places record them with smartphones and turn the footage into 3D reconstructions that buyers can review.
The interesting part is how this connects real-world data collection with actual demand.
โ Buyers define what they need
โ Contributors capture the environment
โ 3D data is generated and reviewed
โ Payments are linked to accepted work
For robotics and autonomous systems, having updated information about real environments could make a meaningful difference.
Of course the real challenge is maintaining data quality coverage and reasonable capture costs as the network grows.
Vangrid is exploring a practical question: can real-world spatial data become something AI systems request when they need it rather than relying only on what has already been collected?
What if proving youโre trustworthy didnโt mean giving up your privacy?
Thatโs an important challenge for onchain finance and one @primus_labs is working to solve.
By combining zkTLS with Fully Homomorphic Encryption (FHE), Primus is exploring how information can be verified and used without exposing the underlying data.
I think this is a key piece of building a financial system where trust comes from proof, not from revealing everything.
The goal shouldnโt be less privacy to gain more trust. It should be both.
Trading capital is more useful when it doesnโt have to sit idle just to earn a return.
Thatโs the idea behind Yield as Margin in @grvt_ioโs upcoming Grvt 2.0.
Eligible Earn balances are expected to support trading margin while continuing to generate yield giving users a way to put the same capital to work in two different ways.
The key question is how smoothly this works under real market conditions, especially when margin requirements change quickly.
If executed well this could be a meaningful improvement in capital efficiency.
Grvt 2.0 is expected to bring this feature in November.
Worth watching how it performs beyond the concept.
๐ค Paid partnership































