Good project

How can AI agents trade and execute safely in financial markets? Our CEO Raul Heraud explored this question with fellow panelists at @wallet’s Beyond X in Singapore. Proud to support an evening bringing this conversation to the stage.

Morning energy is always better with a strong community.

Nice

Gm to the 15k+ solana:9XKzy4KahcZaGJPJtz1PtqGPB3CiseoBrx7TcQhEpump users 💪☀️

Good project

$5M mcap today?

Onchain markets are creating more opportunities across every cycle.

you’ll never hear people comparing prediction markets to onchain again Even to see big p&ls of onchain traders u had to be in a niche algorithm before Permanent onchain employment there will never be another “bear market” where there’s ZERO money to be made again

Been looking into iTrustCapital’s Q. It’s actually pretty cool.Rules-based quant strategies inside the account, no extra bots or setup.www.itrustcapital.com

AI for crypto investors? Yeah, I’m definitely trying this.iTrustCapital’s Q runs predefined quant rules inside the account, so you’re not glued to the chart all day.www.itrustcapital.com

When does it go live on mainnet?

Good project

Ring-VRF is the method CRVA uses to select different batches of committee members. The documentation is specific about what its proof reveals and what it does not, and the distinction is worth reading closely. Ring-VRF separates the identification of a specific signer from the proof that the signer is eligible. A member proves their public key belongs to a published set without revealing which one. The docs name this directly — "Anonymous Key Ownership Proof: Allows a member to prove their public key belongs to a specified set without revealing which one." The mechanism is a one-out-of-many protocol, whose stated job is to prove that some pkₗ is in {pk₀,...,pkₙ₋₁} without revealing ℓ. Membership by itself would not be enough. The same step also produces a verifiable random value derived from the member's private key and a random seed. So the proof carries two claims at once: my key is in this set, and this random output came from that key. What holds those two together is a separate piece. A consistency sub-proof links the Pedersen commitment and the PRF output to the same private key. The documentation is plain about what it is there to stop: "Forgeries using mismatched keys." Without that link, both halves could hold on their own without establishing that they came from the same key — membership shown with one key, randomness produced from another. That is the part worth taking from the design. The anonymity is not bought by asking for less. The verifier still checks membership, still checks that the random value derives from the seed, and still checks that both trace back to one private key. What it never learns is which member. Docs: docs.deepsafe.network/introd… #DeepSafe #CRVA #Web3Security

The future of AI is moving fast. 👀 AI agents, AGI, Codex, AI safety, and what comes next this conversation covers a lot of ground Definitely worth watching 🔥

A lot to unpack here 👀 From the future of AI agents and ChatGPT to AGI, AI safety, Codex, and what comes next this interview covers some seriously interesting questions about where AI is heading Definitely worth watching the full conversation 🔥

guru explained well hits different you know

The visual feedback loop here is seriously interesting. Sometimes showing an agent what you mean is much easier than trying to explain it in text.

Introducing HyperFrames Studio a video editor built for agents, from scratch Describe it, your agent builds, then you both work on the same timeline Draw or comment on a frame, and it makes the edit 100s of inspirations & templates Download ↓

PROMPT GUIDE