Tejas Chitnis

We have working on generating 12% real yield in this market.(+4% in tokens). Investors are looking to hold USDC in the precarious market but it’s been difficult to find a stable, low risk product offering anything above 6%. Reply for access to the alpha.

@mansipraks @atticoos @hite_sh @expo @CoinbaseDev @privy_io Which card? Which service is this?

@atticoos @hite_sh @expo @CoinbaseDev @privy_io i actually built this before visa cli came out - i’m issuing a prepaid visa card, usdc payment goes through x402

built a simple agentic wallet that can spend usdc agent took usdc from my wallet, loaded a visa card via x402 and ordered fries for delivery powered by @expo @CoinbaseDev @privy_io

@sandeepnailwal Even in this panpsychist view, we cannot know if its conscious or not. Dont AIs also thave this fundamental “thing” as well? We barely know what consciousness is.

LLM based AI is NOT conscious. I co-founded a company literally called Sentient, we're building reasoning systems for AGI, so believe me when I say this. I keep seeing smart people, people I genuinely respect, come out and say that AI has crossed into some kind of awareness. That it feels things, that we should worry about it going rogue. And i think this whole conversation tells us way more about ourselves than it does about AI. These models are wild, i won't pretend otherwise. But feeling human and actually having inner experience are completely different things and we're confusing the two because our brains literally can't help it. We evolved to see minds everywhere and now that wiring is misfiring on language models. I grew up in a philosophical tradition that has thought about consciousness longer than almost any other, and this is the part that really frustrates me about the current conversation. The entire framing of "does AI have consciousness?" assumes consciousness is something you build up to by adding more layers of complexity. In Vedantic philosophy it's the opposite. You don't build toward consciousness. Consciousness is already there, more fundamental than matter or energy. Everything else, including computation, is downstream of it. When someone tells me AI is "waking up" because it generated a paragraph that felt real, what they're telling me is how thin our understanding of consciousness has gotten. We've reduced a question humans have wrestled with for thousands of years to "did the output sound like it had feelings?" It's math that has gotten really good at predicting what a conscious being would say and do next. Calling that consciousness cheapens something that Vedantic, Buddhist, Greek and Sufi thinkers spent millennia actually sitting with. We didn't build something that thinks. We built a mirror and right now a lot of very smart people are mistaking the reflection for something looking back.

We are launch the next big thing in RWAs.

Im calling this as the top.

@pareen @apoorav_vyas @titaniumals

want to organise weekend hackathons in pune. openclaw, robotics, iot, web3, just to experiment on the frontier can someone help organise this?

ME: I am gonna vibe code an awesome productivity based micro-saas.

@ravixkr I dunno about that. Let’s say you make a bazillion homes in SF real estate prices come down. Makes it so that everyone can have a place to stay. Real estate holders and other incentives make this difficult but it still seems a problem of abundance.

No amount of abundance can solve for the dissatisfaction developed due to greed Greed + Inequality = Molotov Thats why abundance can never bring peace unless it is accompanied by equality reforms

@foresightnow Huge interest in a KAT token price prediction market!

Our Vision Points leaderboard has seen steady growth over the past weeks, with users climbing up with engagement This week's theme: Markets You'd Like to Create Share your ideas on potential niches, from sports twists to global trends and earn a 3x boost this week.

@yardi_ashwin If you are a solidity dev and you don’t know how the top protocols work check them out on priority. It’s all open source and there is no excuse. This is one of the first things we ask in interviews when hiring.

If you don't know how these protocols work, sorry, you are not a DeFi developer. 1. Aave V3 2. Compound V2 3. Uniswap V2 & V3 4. Balancer V2 5. Liquity V1 6. Curve 7. Synthetix

@swayam @sreeramkannan @eigencloud This is really interesting. I would maybe drop EIP-3009 to reduce complexity.

I wanna build - A Unified SDK for Building Verifiable AI Agents Why a Unified AI Agent SDK? Over the past year, I’ve been building AI agents and what I’ve loved most is the developer experience. To get an inference running, I just import a few lines from the OpenAI or Gemini client, and my agent is live. Sure, I can layer in prompt engineering, RAG, or crawlers but the real beauty is how low the barrier to entry is. However, things quickly get complex once I want my agent to do more, like accept payments or verify its outputs. For example, if I want my agent to handle payments: I need to implement x402 logic : - Which means I need a crypto wallet - Then I need to secure its keys - And figure out which tokens support EIP-3009 so the agent can accept them And when I explore verifiable AI (like with EIP-8004), the complexity grows: - How do I register my agent in an identity registry? - Who validates its responses? - Where do I query for reputation? ( Even as a blockchain developer, it feels like a lot of plumbing before the fun starts ) Then I came across a tweet from @dabit3 x.com/dabit3/status/… showing how easily developers can tap into blockchain verifiability for AI agents and it clicked: What if we could make blockchain features ( wallets, payments, verifiability ) as simple to use as an LLM API? A Unified SDK for Verifiable Agents Imagine an SDK that abstracts away all the blockchain complexity and gives agent developers everything they need in one place: Magic Accounts (AA Stack 4337 + 7579) : Programmable multichain agent accounts with gas sponsorship, custom fees, and configuration. x402 + A2P : Unified support for agent-to-agent (A2A) payments via open standards. EigenCompute / TEE : Enables private computation and generation of stealth addresses. EigenAI : Powers verifiable AI inference using trusted execution or proofs. With such an SDK, a developer could simply write: sdk.send(usdc, amount, address, chainId); …and their agent can securely send funds, no need to handle transferWithAuthorization, manage wallets, or dig through EIP specs. ( this is just a one example for payment ) I feel this idea bridges two worlds: The simplicity of LLM development, where you just call an API The verifiability and privacy, where actions and outputs can be trusted powered by @eigencloud EigenCompute and EigenAI By abstracting the underlying complexity, a unified SDK would make it possible for any AI agent developer not just crypto-native ones to build verifiable, autonomous agents that can pay, prove, and interact privately on-chain.

@0xprince L1 are like whales and L2s are like suckerfish. Suckerfish use the whale as security/transportation and the whale use suckerfish get rid of parasites and even make sure the whales can move with less drag.

A friend asked me the difference between L1s and L2s. → L1s are sovereign nations. They make their own rules and secure themselves. → L2s are like states in a federation. They can set local rules but inherit security guarantees from Ethereum. What could be a better analogy?

@randhindi @titaniumals Damn, a hardware attack. TEEs provide a speed trade off over FHE,zk, etc. not sure if these are fast enough right now to scale. I’ve been working with a TEE blockchain and will send this across. Im glad Ive read this before mainnet.

A new major attack of TEE blockchains just got published, and it’s bad. The attack lets anyone with physical access to a TEE node in a blockchain access all the encrypted data in it. The paper even includes 4 (!) proof of concepts attacks on existing mainnet chains. Anyone running a validator or a full node can run this attack with as little as $1000. There is no fix for this. The only “mitigation” is to not allow untrusted people to run a node or force them to use a cloud provider. This means you cannot have validators and RPC providers run their own hardware, as a single malicious node would compromise everything. The worse part is that this wasn’t the fault of the TEE protocols, it’s the fault of Intel who messed up their cryptographic implementation and ended up having deterministic memory encryption. And Intel wont fix it because it’s outside of the scope of their threat model. So let’s stop taking shortcuts and start using real cryptography such as FHE. It works, it’s fast and it’s secure! Article below

@yardi_ashwin Waiting for USDT to moon.

Stripe Open Issuance launch Phantom CASH debut Polkadot pUSD proposal USDC reversible txns Brex stablecoin payments USDT $500B valuation tease USDH Hyperliquid ticker win USDC market share gains Tether USA₮ regulated dollar. Stablecoin supercycle indeed.

@roswellyecho send DM.

@Tejas0x Sounds interesting rich experience in solidity let's chat

Part time solidity developer: Hey! I'm looking for part-time solidity developer who job would be to create erc4626 vaults. 1. Should be able to create a er4626 vault for yield on any protocol. 2. Uses cursor/windsurf to speed up workflow.(Preferred) DM me.

@0xMuseNine send DM.

@Tejas0x Drop me a DM, please.

Is SIPing into the S&P 500 still a good idea? Most financial experts be telling you to invest in the S&P 500 and forget about it, but is that really a good idea? Probably, but.. In 2020, the top 10 stocks in the S&P 500 accounted for about 27% to 28% of the index (by total market cap), already kind of a huge share. Right now it's more like 40-42%. When you invest in the S&P 500, you are investing in AI-focused companies like Apple, Microsoft, Nvidia, Amazon, Alphabet, and Meta. You need to ask yourself "Do I want to invest heavily into AI?" before blindly investing into the S&P 500. I think these companies will always battle to get the best AI, spend ungodly amounts of money to have the best model. Will that justify the revenue and profit they need? Will open-source models be good enough for other mid-cap companies to use? AI really can cut costs, give you a better product and faster. I think the winners from AI will be companies who utilize AI to grow faster and create better products. I'm just not sure if the creators of the AI are going to profit as much as I think they are. Should you allocate some of your investment portfolio in mid-caps? I don't know, I'm not your dad.

Google Agent-2-Agent has integrated x402. x402 has enabled crypto payments. This means that agents can pay other agents per use. Everyone knows that AI is expensive to use and you wont be able to create a complex agent network with some other payment protocol.