DeFi!

Humans started a pattern centuries ago… That pattern is the reason why AI may take your job today But with the right positioning, you just may not lose your job This is not a tutorial on AI tools 🧵

ICYMI, @N1Chain is now live on mainnet! and you know what you can do on N1 rn, you can use @terminaltrading…you’re charged ZERO FEES for trading…that’s right!

nothing against perps… but it’s time to trade something different, something more profitable… bullish @nunchi

most people don’t fail tech interviews because they didn’t prepare… they fail because their preparation is unguided fix the process prep with Thita.ai. interview smarter!

ding! ding!! @StakeToby is launching a $toby token… and the first reaction is: do we really need another token for ‘decentralization’ tho?? Ethereum is improving just fine w/o token-voting everything… but different context & tbh, $toby’s launch might actually make sense 🧵

I can’t remember ever trading perp… that’s because I never do. but y’all remember I said I found @nunchi so yes, this time, I’ll have a perp trading experience… and good thing Nunchi is still on testnet. I get to play around with test tokens… this time tomorrow, I should have some information about my first ever perp trading experience…

I shared yesterday that I found @nunchi, a perp dex that allows you trade yield. yes, yield…. I also shared that it’s built w/ the Hyperliquid infra. notably, HIP-3 by design builders are required to stake 500k HYPE to deploy a market using HIP-3. first thing that came to mind is ‘this is one way to sustain HYPE’s value’…cool, right? symbiotic mutualism. like bees & flowers, everyone benefits Nunchi gets to use Hyperliquid’s infra. there’s 500k less HYPE to dump in the market… but it doesn’t end there… Nunchi’s market design in fact incentivizes holding HYPE. traders get up to 50% trading fee discount depending on how much HYPE they stake this is alignment at peak. I’ve not seen many like this in crypto so Nunchi is not just building a market to trade yield. it’s equally existing as a product that benefits the Hyperliquid ecosystem. a win-win for every player… crypto products may want to study this approach. it’ll make sense if apps can return value to the ecosystem they are a part of…everyone wins in this case. we’ll end up with more thriving ecosystems & lesser ded chains… I thought this was an interesting observation & wanted to share it…

ngl the whole perp trading thing was already getting boring… I see a new perp dex launch & be like ‘oh another perp dex’ but bro @nunchi is soooo different… first, they allow you trade ‘yield.’ something I find entirely innovative as far as DeFi goes… this changes a lot for how ppl bet on yield traditionally, if you believe that the yield on ETH will go up, you’d likely purchase an LST to take a position on your bet while that works, what happens now is that you’re now exposed to the price of ETH itself + the risk associated with holding LSTs…. remember you only wanted to position for your bet on a possible yield increase on ETH these extra risks are so unnecessary & the Nunchi team agrees to that. so ofc, they launched a perp for trading yield… such that if you believe ETH yield will go up, you can go on their perp dex to long ETH yield. no unnecessary exposure to extra risks. no need for extra capital. you even get to trade with leverage… do you see how interesting the idea is?? Nunchi leverages Hyperliquid’s infra & uses the EigenCloud infra in some way (I’ll write something about this soon) I just went through their docs & I’m still doing some digging to understand the concept better myself but it looks like something I’d pick interest in. loool who would have thought I’d write anything about perps 😂😂 I’ll be in Nunchi docs. see you soon….

as much as I love generic AI (chatbots like ChatGPT that can answer anything from programming questions to marketing, entertainment, & even politics), the future will also belong to special-purpose AI, systems built to do one thing extremely well but the true unlock for these specialized AI systems will be verifiability, the ability to trust the data they were trained on, trust how they run inference, & trust that their outputs are legitimate today’s AI landscape, although sophisticated, lacks this level of precision and because of that, we still cannot fully trust AI agents to make autonomous decisions. something is missing since data is the heartbeat of any AI model, the real fix is simple: AI inputs & outputs must be verifiable against real, tamper-proof data this requires two things: - a system to verify the soundness of AI models - verifiable data storage for AI EigenAI(powered by @eigencloud) solves the first problem it verifies the data sources used to train models, ensures inference is processed correctly, & confirms that outputs are deterministic & traceable. in simple terms, it brings verifiable correctness to AI models just as important is the data layer itself AI models are trained on data, & they also produce data. but today’s storage systems are mostly off-chain, centralized, & opaque. we simply trust providers not to alter or delete anything while also accepting single points of failure if AI is going to reach its full potential, the data that flows into & out of models must become tamper-proof & auditable that is where @DataHaven_xyz comes in Data Haven provides secure, immutable data storage where no single party controls the data. anything written into it stays exactly as it is. this introduces verifiability & auditability into the entire AI data pipeline w/ Data Haven, we can trust that training data has not been modified & that AI-generated outputs can be stored immutably for transparent review the combination of EigenAI & Data Haven results in verifiable AI models that enable trustworthy, specialized AI & fully autonomous, high-confidence AI agents when AI becomes naturally verifiable, the possibilities become endless… cc: @real_NFT @Sabrinadegas @MayBCryptoWhale @RyanJLevy @dabit3 @eigencloud @eigentribe

it doesn’t matter how good you are with your stuff, if you don’t get through interviews, you may never get to work your dream job… and this is the case w/ a lot of tech roles the fix? those seeking tech roles should use tools like Thita.ai to help them prepare better for interviews 5,000+ people in tech already choose Thita.ai. here's why it’s a good option 🧵

working smart isn’t about taking shortcuts. it’s about knowing yourself well enough to leverage your strengths effectively... most ppl think “working smart” means doing less. but the truth is simple: it means doing what matters, in the way that gives you the highest ROI when you understand your strengths, you stop wasting time forcing what doesn’t flow you double down on the skills that come naturally you structure your day to reduce friction you make decisions that align with who you are, not who you’re trying to imitate as you wrap up the week & step into the weekend, take a moment to reflect on how you can work more in alignment with your strengths going forward a small shift in focus can create a big shift in results... work smart! work aligned!! gm gm

the hype with x402 is completely unnecessary!! it’s not some fancy upgrade, it’s simply how the internet should have worked from day one… 🧵

zk is one inexhaustible tech… it’s central to the most powerful crypto innovation rn. two areas that stand out for me include: - vApps (verifiable apps): apps that are built with web2’s programmability + web3’s verifiability (security). thanks to zk tech, these apps are made possible for devs to spin up. app logic can just run offchain, while token logic is left onchain. zk proofs for offchain computation is generated & can always be verified onchain to confirm whether or not the computation happened. notable projects powering such innovation include @eigencloud & @hyli_org - auditable privacy: privacy isn’t a nice-to-have, it’s a must-have. auditable privacy takes mass adoption for crypto from a ‘mere wish’ to ‘reality.’ with auditable privacy, users can hide personal info like financial records from strangers while still being completely auditable by regulatory authorities. projects like @Scroll_ZKP Cloak is using zk to power this innovation. such that when a user initiates txn, only the zk proof of that txn is generated. so personal info from the txn remains hidden & can be verifiable for correctness by regulatory authorities the takeaway: zk has moved from a ‘scaling tech’ as we first saw with rollups like @Starknet & @zksync it now enables a new class of apps that didn’t exist before: apps that are private, verifiable, & regulation friendly this is what brings crypto from ‘interesting concept’ to mainstream reality