AI agents are starting to own wallets, call tools, and make decisions on behalf of users.
But how do you trust them?
https://t.co/ihBLr1GX8R is a trust passport for AI agents.
Bad design doesn't just look unprofessional — it kills investor trust.
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For Slingshot, we built a custom Arbitrum Orbit L3 chain that onboarded 5,000+ Web2 users at zero gas cost — killing $5k+/mo in on-chain spend.
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https://t.co/BGzFzu2mVN
At the Unchained Summit in Da Nang, Vietnam. Good to see how Vietnam is embracing Web3 and all those new projects coming live around Stablecoins, RWA, Gaming...
#UnchainedSummit#Vietnam#Web3
We now audit vibe-coded apps.
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Could also integrate well alongside the distributed inference layer @FARLabsAI@Dizzaract is building with FAR AI.
Using decentralized GPU networks for scalable inference while TEEs handle confidential execution, validation, and agent reputation could be a pretty interesting combination for autonomous multi-agent systems.
Currently working on a new architecture for AI-powered prediction markets on EVM using Phala Network with TDX enclaves + TEE proofs.
Combining:
- ERC-8004 validation + reputation registry
- ERC-7857 encrypted skill primitives
- Phala Cloud Confidential VM
AI agents can run on private datasets/models fully encrypted and only decrypted inside the TEE enclave.
Prediction outcomes are generated and verified without exposing the underlying data or model weights.
If an outcome is challenged, another enclave independently validates it through generic AI models + the ERC-8004 validation registry. Reputation builds overtime, so your agent can be trusted.
ERC-7857 enables transferable or lendable skills between agents, opening interesting possibilities for delegated intelligence and autonomous agent coordination.
Currently building it.
PoC + repo soon.
#AI #Web3 #TEE #EVM #PhalaNetwork #AIAgents #PredictionMarkets
We started building https://t.co/iQXG1mOJCj with Gnosis Conditional Tokens, a mature foundation for on-chain prediction markets.
Then we modeled a 16-player esports bracket.
That’s where the tradeoffs became clear:
• FPMM becomes impractical with many outcomes
• LMSR requires upfront liquidity subsidies
Neither felt ideal for tournament-style markets.
So we stepped back and rethought the design...
We moved to a time-weighted parimutuel model.
Instead of AMMs or liquidity pools:
• users enter a shared prize pool
• winners share payouts based on their time-weighted positions
• no LP requirements, no slippage, no price impact
Most importantly, complexity stays constant whether a market has 2 outcomes or 32+.
The bigger unlock is infrastructure.
Many prediction markets still rely on off-chain logic for critical functions like resolution, settlement, and payouts.
At @UpArenaGaming, we’re designing for full on-chain execution:
→ every bet
→ every resolution
→ every payout
This approach was historically too expensive or too slow on EVM chains.
Now, chains like @monad make it practical to revisit those assumptions and build differently.
We’re currently benchmarking multiple approaches and will share results soon.
Deploying to @monad Testnet soon.
#PredictionMarkets #Esports #Web3Gaming
Web3 adoption won’t come from more complexity.
It comes from better onboarding.
Good to see Ethereum doubling down on UX, scalability, security, and making blockchain products easier for mainstream users.
The best Web3 experience is one where users barely notice they’re using Web3.
#ethereum #onboarding #blockchain #ux
0/ Clear signing is now live.
An open standard to end blind signing, making human-readable transactions default.
This effort brings a major UX and Security upgrade to transaction signing on Ethereum.
With the recent HIP-4 release and growing support for outcome markets on @HyperliquidX , infrastructure improvements around bridging become even more important.
Since USDH is used as the settlement asset for prediction markets, support via @AcrossProtocol helps users bridge in faster and access markets with less friction.
For apps like @Outcomexyz , this means:
• faster deposits into markets
• smoother onboarding
• quicker capital access during time-sensitive events
As prediction markets grow on Hyperliquid, settlement assets and bridge UX become core pieces of the overall product experience.
@predictdotfun Thanks @zhannamanzyk
Hey @predictdotfun Nice project you're building, I've emailed you, keen to have a chat as I've also been building around prediction markets.
Currently exploring how prediction market settlement can be executed fully on-chain using AI with TEE encryption on Intel TDX, alongside validation and feedback loops.
Interesting use cases emerging around ERC-8004 and ERC-7857 for secure execution, verifiable outcomes, and privacy-preserving agent interactions.
Seems like @PhalaNetwork has developed the infrastructure for it.
Curious to hear from others building at the intersection of AI and on-chain infrastructure.
🏆 @vengeio Victory Clash – Registration Open! 🏆
Get ready to drop in! The Venge io Victory Clash kicks off on https://t.co/81K6n1m1gb next week. We’re looking for the best of the best to compete for a massive prize.
Tournament Details:
📅 Dates: Monday, April 27 – Sunday, May 03 (Dates and times flexible)
🕹️ Matches: 7 Total
👥 Capacity: 8 Players (4 spots already filled!)
🎁 Prize Pool: 1 OG NFT
Think you can dominate the arena? There are only 4 slots left, so move fast if you want to secure your place in the tournament.
🔗 Details here: https://t.co/1WfItZBc0b
Let us know if you want in! ⚔️🔥
Dates and times are flexible.
#UpArena #Vengeio #Esports #Web3Gaming #NFT #GamingTournament
With everything happening around DeFi and bridges lately, I wanted to explore a different approach 👇
I built a small PoC comparing intent-based cross-chain transfers using @AcrossProtocol vs traditional bridging like LayerZero.
Instead of defining how to bridge, intents let users specify what they want with execution handled by solvers.
🔬 What I looked at:
• Side-by-side implementation
• Benchmarks (latency, cost, flow)
• UX + dev experience
Early observations:
→ Intents feel faster and smoother UX-wise
→ Less manual steps for users
→ But introduce different trade-offs (liquidity, solver design, costs, etc.)
Not necessarily better or worse, just a different model worth understanding.
Repo: https://t.co/8Wc0RpMeMX
Demo: https://t.co/OKPWw1B3E0
Curious how others are thinking about this space 🤔
#defi #web3 #blockchain #bridge #crosschain #intent #crypto
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Big update ⚔️
📄 Litepaper now live inside our info page
https://t.co/WvD9IdBCcJ
🤖 Building AI Live Kill & Event Detection 🎯
We’re launching with Valorant first 👀
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Complete it for a chance to get an OG NFT 🏆
Early grinders stacking XP now will be glad later 👀
Climb the leaderboard. Secure your spot. ⚔️
https://t.co/5ryj1BykPD