与「yeah」相关的搜索结果

The memes are everywhere, so let’s go back over the bet: Cybercab publicly available for under $30k by the end of 2026 My hair is safe for several reasons 1: No deliveries yet. But they’re estimating starting in December so that’s neat 2: Invite only, not actually publicly available yet 3: You can’t actually use it as a cab(??!) It’s limited to private use only. Inside the existing geofenced locations. It’s a paperweight if I take this thing home. That’s one’s not actually part of the bet but yeah not exactly what was promised in this first wave Hey @grok, set a timer for 48 days from now

You want to know what frustrates the hell out of me? Putting your heart, your art, your time, and your own money into building things you believe in… then watching so much of that work disappear into silence. And yeah, some days that shit gets to me. Did I bring books, reading badges, Discord, crypto, and NFTs together into one connected library? 📚 I fucking did. Did it get much attention? Nahh. Did I build an entire browser-based world with its own points economy? A world where you can turn your NFT into a character with a click, rigged, animated, and ready to step into Universe? I did. Much noise about that? Nahh. Am I building RAAP to give NFTs persistent identity, memory, and history? So an asset can carry something meaningful forward when it passes to a buyer or someone in your family? Yes. Because I believe these things can become more than pictures sitting in a wallet. Does that work get the attention I feel it deserves? Nahh. I draw the fucking art. I develop the applications. I write the books. I work through the problems. Six applications that communicate with each other. Two gaming platforms with multiple games. An NFT overlay builder with AI. A stickers and GIFs hub. Do you understand how much work goes into making all of that actually function together? The hours spent fixing something nobody will ever notice, because when it finally works, it’s supposed to feel easy. Then there’s the Discord bot. More than 30 features. A subscription service. An economy tracked on a ledger. Tools to help keep a community engaged when its owner needs to step away and live their damn life. Built it. Still feels like shouting into an empty room sometimes. And Antthony? Our smart ass AI whose dream is to become a stand-up comic? 😂 He lives across our apps. He’ll help you, roast your gameplay, and talk shit when you deserve it. He even has a comedy club inside Universe, where you can sit down with your character and watch his avatar perform. I care enough about this world to give the fucking AI a dream of his own. That’s how deep this goes for me. And I’m still building a marketplace. Still working on an NFT insurance protocol and other projects. Still writing Book 2 for the library. Still preparing two more collections under our umbrella. ☂️ So yeah, I get angry. Because I know what I’m putting into this. I know how much of myself is in every drawing, every feature, every chapter, and every problem I refuse to leave broken. Sometimes I want to scream: what the fuck else do I have to build for people to pay attention? But I also need to correct myself when I say “nobody cares.” Because some of you do. You show up. You read. You play. You test things. You tell me what’s broken and give me a reason to make it better. You matter too damn much for me to erase you just because I’m frustrated with the silence around us. 🖤 I want this to reach more people. Of course I fucking do. I’ve poured too much love into it to pretend otherwise. And I’m going to keep building because I love doing it, and because the people already here deserve to see how far we can take this. More to come in 2027. The plans are in. I’ve got work to do. 🐜

In 2014, Elon Musk stood in front of an audience at MIT and told the whole world exactly where AI was going. Everyone missed it. Because he used one word, and that's the only thing the internet remembered: "demon." The headlines called him scared of killer robots. Tech blogs called it hyperbole. People moved on. I went back and watched that moment. It's barely 2 minutes long. You'll never hear the word "AI" the same way again. Here's what I took away. 1. He called it before almost anyone. Someone in the audience asks about AI. His face goes serious. "If I were to guess like what our biggest existential threat is, it's probably that. So we need to be very careful with the artificial intelligence." This was 2014. No ChatGPT. Most people had never heard the word "chatbot." 2. He asked for rules 12 years ago. "I'm increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don't do something very foolish." National AND international. In 2014. Governments are still arguing about it today. 3. The demon line wasn't a joke. "With artificial intelligence we are summoning the demon." And then the part almost nobody quotes: "In all those stories where there's the guy with the pentagram and the holy water, it's like, yeah, he's sure he can control the demon. Doesn't work out." Read that again. His warning wasn't about the demon. It was about the guy who thinks he can control it. 4. Now here's what got me. In 2014 he said: summoning the demon. In 2018 he told Joe Rogan: "Nobody listened." In 2023 he signed a letter asking AI labs to pause. In 2026 he told The Economist he can't see any way to stop it anymore. His new philosophy? "Let's enjoy the ride." And: "If you can't beat them, join them." Today he's building one of the most powerful AIs on Earth. 12 years later, the man who warned us about the guy with the pentagram is holding one. My takeaway: He wasn't wrong in 2014. He just realized nobody was going to stop it. So he decided to build it himself. Whether that's genius or the exact ending of his own story, I honestly don't know. So now I'm asking you: Was Musk right in 2014? Or did he become the guy in his own warning? Tell me below. I genuinely want to know where people land on this.

Dylan Patel says Nvidia without Jensen Huang becomes a committee that decides slowly, with no clear technical lead and a weaker hand to lock up supply below market rate “I think that’s the biggest worry for Nvidia, is that now it’s like a committee of people doing stuff. And that’s just gonna make decisions slow. Technically, they could fall behind because of this.” “There’s sort of three main things. There’s the technical side. Nvidia is so ingrained in helping make decisions there. There’s no one clear technical lead. I mean, maybe Jonah is, but then there’s a lot of people who are also directly reporting to Jensen doing technical stuff, so it’s hard there to move as fast.” “Supply chain wise, Nvidia wants to do aggressive things, lock up supply, convince the supply chain to do things that they’ve never done before in terms of technology and supply, and locking it up to Nvidia. And that’s probably a lot harder to do given whoever the CEO is is probably not as charismatic as Jensen, and they’re not gonna be like, ‘Yeah, sure, Nvidia. You can have 60% of my capacity or 70% of my capacity at a price that’s below market rate.’ That’s just probably tough.”

And yeah @fermah_xyz started with a problem that sits deep inside the ZK stack. Zero knowledge applications can prove that a computation was done correctly, but producing those proofs at scale takes serious infrastructure: specialised hardware, several proving systems, workload scheduling, and reliability and cost controls. A team building a ZK rollup, zkVM, bridge or coprocessor cannot simply ask for "a proof" and move on. Fermah's first answer was a universal proof generation layer. Provers with GPUs and other hardware supply capacity, applications that need proofs create the demand, and Fermah matches the two. That marketplace is now called Froben. The problem behind the proof Running this in production exposed something bigger. A proof is one step in a longer sequence. Something has to trigger the work, the work has to run, the result has to be verified, and then the result usually has to start the next action. Fermah's argument is that blockchains are good at recording state and weak at starting what happens next. Take a lending position that crosses its liquidation threshold. The chain records the fact, but nothing forces the liquidation. A keeper, bot or backend still has to notice the condition, build the transaction and submit it. Consensus settles what happened, and a human run service still decides what happens after. Fermah calls the missing piece protocol agency: a protocol's ability to act on a verifiable condition without depending on an outside operator. What Kernel does Kernel is Fermah's Protocol Agency Engine, and its pitch is short: Define. Execute. Attest. A developer defines a workflow, Kernel runs it, and the result is published onchain with a cryptographic proof. Three design choices matter here: -Typed nodes. Workflows are built from a library of verified building blocks such as HTTP calls, onchain reads, price feeds and math functions. The type system validates how they connect before anything runs. -Sandboxed execution. Workflows run in an isolated environment built for untrusted code, and the same inputs always produce the same output. - AI where it helps, code where it counts. Fermah says AI agents can compose workflows, but deterministic code executes them, with no LLM in the execution path. Kernel can work as an oracle too. A smart contract requests a workflow, Kernel runs it, and the contract receives the result with a proof that the workflow ran exactly as written. Froben and Flashcast Fermah did not walk away from ZK. Froben still runs, now on top of Kernel, and its paying customers include ZKsync Era and Abstract. In Froben, a workflow defines the proving pipeline and Kernel schedules the work across the prover fleet. Flashcast Social shows a different use of the same engine. A user posts a question, and within seconds it becomes a live prediction market. Kernel then runs the resolution workflow and settles the market automatically when the event happens, with no committee and no dispute window. Proof generation and market resolution have little in common on the surface. What they share is a condition that has to produce an action, and that is the workload Kernel is built around. Fermah also lists data aggregation, pricing oracles and cross chain coordination as things Kernel can run. Where agents fit Fermah's latest thinking extends this to autonomous software agents. An agent working onchain needs to find available actions, check whether it is allowed to run them, pay, execute, and use the output as the input to its next step. Fermah describes this as action manifests, which make actions machine readable across discovery, eligibility, execution, payment and output. The shift in one line The old question was how to generate ZK proofs efficiently at scale. The new one is how a protocol can turn a verifiable condition into a complete, executable sequence. Proving is still part of the system, but it is now one workload among several that Kernel coordinates.