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Raghav Agarwal-1
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On a serious note, can someone help me understand how
Move
was supposed to be more secure and why did that not work in the case of
Sui
hack?
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Raghav Agarwal-1
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We are currently witnessing the most influential and vertically integrated AI empire being built by @sama It’s bold. It’s terrifying. And while it's starting to spark conversations, the implications are still vastly underestimated. Here’s what he’s putting together—piece by piece: 1) Core AI Models @OpenAI under Altman has shipped frontier models like GPT-4.5 and GPT-4o—with GPT-5 on the way. ChatGPT is already the most downloaded app on earth, while these models quietly power the AI engines of the world’s biggest companies. 2) AI Hardware $6.5B to acquire Jony Ive’s design startup, io. Ive—the mind behind the iPhone—is now leading OpenAI’s hardware vision. Expect AI-native devices that redefine how humans interact with machines. 3) Compute Infrastructure A 1-gigawatt AI super-datacenter—Stargate UAE—is being built with G42. That’s nation-scale compute power in a single project. Meanwhile, OpenAI is setting up similar ventures in the US. 4) Identity & Human Verification @worldcoin, Altman’s crypto-biometric project, scans irises to verify humanity—already at 26M users. In an AI-saturated future, it could become the default layer for proving you’re human online. 5) Social & Consumer Platforms OpenAI is reportedly building its own X/Twitter alternative—and has shown interest in acquiring Chrome if regulators ever split it from Google. That’s a browser, a social feed, and an AI layer, all potentially under one roof. 6) Developer Tools & Infra OpenAI acquired Windsurf (AI coding) for $3B and Rockset (real-time analytics). These form the software backbone for the next-gen AI stack. This isn’t just a company—it’s a stack. A full-stack bet on owning AI from silicon to society. It’s like watching a Black Mirror episode being written live... and we’re in the cast!
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While @ethereum and @solana were battling it out for dominance, @HyperliquidX emerged as the market leader in terms of daily fees. HL went from ~17% in mid-Jan to ~64% in May Data source: @DefiLlama Area chart of dailyFees of Hyperliquid, Solana, Ethereum.
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I can finally show my face at family gatherings—everyone who bought $BTC on my advice is in the green.
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One of the more subtle but troubling takeaways from Token2049 Dubai: too many teams are spending heavily at conferences with little regard for accountability or actual value creation. And this isn’t just limited to side events—what’s more concerning is the kind of personal expenses being claimed, often without much scrutiny or justification. Yes, dinners, networking, and side events are an essential part of these gatherings. But what stood out to me was the almost complete absence of ROI thinking around these expenses. In some cases, it felt like spending was done for the sake of spending. Now, defining ROI for conferences is tricky—it’s not always about direct returns. But that shouldn’t be an excuse for unchecked or outlandish costs. At the very least, teams should be asking: is this aligned with our broader goals? Leadership has a key role here—not through micromanagement, but by establishing high level frameworks that guide how budgets are used and what success looks like. Without that, it's easy for good intentions to turn into expensive inefficiencies. Personally, every time I attend a conference, I stay mindful of the cost my company is bearing. I always ask: what value am I creating in return? That mindset shouldn't be rare. It should be the baseline. This is especially necessary for teams which are not generating revenue at the moment and require runway to find PMF and revenue in the long run.
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At Token2049, every friend from RaaS and DA teams echoed the same thing: demand for launching new rollups is cooling. The OP Stack hasn’t had a major announcement since Unichain. EF is focused on scaling L1. Yet Caldera keeps popping up all over my timeline.
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