Naveen🫡

2026 - Goal is to see an app with - Aesthetically appealing UX - Compliant yet Private - Multi-chain support with seamless UX - Self-custodial yet recoverable - Secure and safe - Fast in execution - Cheaper in transactions - Used across world (with exceptions like N.Korea, syria) - Used by retail as well as businesses Who's building this 👀

I might be calling this too early: Seeing the bubble starting to pop-up for several *stablecoin-only* chains.

@karpathy's auto research with 100 agent swarms with 100X less cost cloud is how we achieve AGI. Are there any interesting projects built using it ? Curious to explore and explore.

Please stop.

gm

@harshilmathur @Razorpay Great stuff.!

So what does @Razorpay look like in the agentic era? We started with the basics at FTX’26. • onboarding handled by an AI agent (~3 mins) • integration created from a prompt (~2 mins) • d̶a̶s̶h̶b̶o̶a̶r̶d̶ just talk to an agent for everything The first agentic fintech platform. And we timed it live. Live Demo ↓ (More to come)

@TheVixhal For a moment I wished this to be real.

I found out my girlfriend cheated on me. Instead of breaking up right away, I made a fake account, sent her the proof anonymously, and told her that if she didn’t send me money, I’d tell her boyfriend everything. I shared this whole plan with my best friend for advice, but this mf went behind my back and shared everything with my girlfriend. When confronted, he said: “Why does it matter? I thought she deserved to know.” He wasn’t just betraying me. He was performing information leakage. In information theory, information leakage happens when confidential or hidden information inside a system becomes accessible to someone who was not supposed to know it. Many systems are designed so that certain variables remain hidden. As long as those variables stay hidden, there is uncertainty about them. The moment someone reveals information about those hidden variables, the uncertainty decreases. That reduction in uncertainty is exactly what we call gaining information. Information theory gives us a mathematical way to measure how much uncertainty exists in a system. The standard measure used for this purpose is called entropy. Entropy measures how uncertain we are about the value of some variable. Entropy formula: H(X) = − Σ P(x) log₂ P(x) Where H(X) = entropy P(x) = probability of a specific outcome Σ = summation The higher the entropy, the more uncertain the system is. The lower the entropy, the more information we have about the system. Let's take an example and solve step by step: Imagine a technology company is secretly developing a new product. Internally, the company has created four possible designs. Only one of these designs will eventually be released, but that information is confidential and outsiders do not know which one will be chosen. The four possible designs are: - Design A - Design B - Design C - Design D Now consider a competitor trying to guess which design the company will release. Because the competitor has no inside information at all, they assume that each design is equally likely. From the competitor’s perspective, the probabilities look like this: Design A = 0.25 Design B = 0.25 Design C = 0.25 Design D = 0.25 These probabilities do not mean the company actually plans to release each design with equal chance. They simply represent the competitor’s belief under complete uncertainty. Now we calculate the entropy of this system: H(X) = − Σ P(x) log₂ P(x) H(X) = − [4 × (0.25 × −2)] H(X) = − (−2) H(X) = 2 bits So the entropy of this system is 2 bits. What does that mean in plain language? It means that before any information leaks, the competitor needs 2 bits of information to fully determine which design the company will release. In other words, there is a high level of uncertainty. Now imagine an employee inside the company leaks some information. They do not reveal the exact design, but they reveal something partial. They say: “The real design is either A or B.” This statement eliminates two possibilities. Now the competitor knows that C and D cannot be the correct design. So the competitor updates their probabilities: Design A = 0.5 Design B = 0.5 Design C = 0 Design D = 0 Notice what happened here. The competitor still does not know the exact design, but their uncertainty has decreased. Now we compute the entropy again: H(X) = − Σ P(x) log₂ P(x) H(X) = − [0.5 log₂(0.5) + 0.5 log₂(0.5)] H(X) = − [0.5(−1) + 0.5(−1)] H(X) = − (−1) H(X) = 1 bit Now compare the two results. Before the leak, the entropy was: 2 bits After the leak, the entropy became: 1 bit The uncertainty dropped by 1 bit. That drop is the information that leaked out of the system. The employee did not reveal the full secret, but they reduced the uncertainty by half. That reduction is precisely what information theory measures. Congratulations, you have just learned the concept of information leakage.

Wait now I connect the dots, I remember a lot of Crypto folks and funds pivoted to AI. Is that the reason 😑

@ankitkr0 So we already agreed that AI can never be a defensible moat ?

in a post AI world, your friends are your moat.

Been shouting at claude during weekdays and regret during weekends. Do you think it reminds of it once it achieves AGI ?

Seeing a lot of fund raise announcements by AI wrappers on my TL. Reminds me of Crypto L1 / L2 fund raises between 2022 & 2025. Same energy.

We need more TARS

@arjunnchand Agreed with vision of making robots beyond anthropomorphic. Terminator and other early Sci-Fi movies have fiddled with our brains too much that we stopped thinking beyond a robot's design to emulate another human.

humans are meant to do epic things.

@navin346 @0xNairolf nairolf is my alt account 🤫

@0xNairolf So you are @RamXBT's alter-ego ? x.com/RamXBT/status/…

crypto neobank winner = whoever cracks distribution outside of CT really that simple

An interesting twist of mathematics (Geometric Progression): If we go back further, 20 generations ago (about 600-700 years), the number of your ancestors reaches over 1 million. This means that at some point in history, millions of people were unknowingly making way just for you.

@HrushiBytes @ethmumbai Inspiring

just met a guy at @ethmumbai , he looked like 18yr old i asked whats your portfolio size, he replied around 36k i was shocked and asked him how did he manage to get 36k at this age. he said he worked super hard to convince his father to give him $50 million and invested it all in AAVE through cowswap

@RakeshK32229480 @MCF_Faridabad @sdm_faridabad Every town in India deserves an intern , keep up ur great work🤝

If any Type II or Type III civilization exists in the Milky Way please visit Faridabad and see what Indian babus have turned this city into. Kindly teach them how cities are governed across the milky way association Planet: Earth City: Faridabad Fermi paradox solve 🙏🙏

@stablewatchHQ Never ceases to ship. Keep going 🤝

Meet the new Stablewatch