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🏆 The Eval Is Dead. Every Funded Session Is 78% OFF With Code LAUNCH. → 10K: $11 → 25K: $22 (Most Popular) → 50K: $29 ⚡ Funded In Minutes ✅ No Profit Target ✅ One Rule 💸 Request A Reward The Same Day You Finish Green This Is The...

13,323 просмотров • 1 месяц назад •via X (Twitter)

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Today's real crypto news killed me in a video game 💀 This is Crypto Crash. I built it this afternoon with the ChainGPT AI skill for Claude Code. It's a Chrome dino-style runner, but every system in it is plugged into a live source. The ground you run on is BTC's actual 24-hour price chart. Hills are the pumps. Valleys are the dumps. When the market is bearish, you literally run downhill toward the FUD. The sky and the world's color palette flip based on the market's emotional state, scored 0 to 100 by the ChainGPT LLM reading today's headlines. Anxious days look like an orange storm. Euphoric days look like a parade. The obstacles are goblins, ghouls, wolves and a flying bird. Each one carries a real bearish headline pulled live from the ChainGPT News API. When one hits you, the game-over screen tells you exactly which piece of FUD ended your run. Three ChainGPT capabilities, woven into a single experience: the LLM, the News API, and live price data. The skill stitched them together in a single afternoon. I just had the idea. Here's what's interesting beyond the game itself. Web3 products have always had access to live data. What's new is that AI can now turn that data into experiences, environments and feedback loops on demand, with one prompt. ✅ A trading dashboard that gets more aggressive when fear spikes. ✅ An NFT marketplace whose homepage matches today's mood. ✅A token site that visibly reacts when its chain is under attack. ✅A streamer overlay that changes with every breaking headline. The plumbing is done. The hard part now is deciding what you build on top of it. Open Claude Code. The skill is one install away. /plugin install ChainGPT-org/chaingpt-claude-skill

ChainGPT

25,510 просмотров • 2 месяцев назад

On April 26th, 2026, the Japan Meteorological Agency's Himawari-8 satellite captured a full day of Earth. Every ten minutes, for twenty-four hours, it photographed a complete hemisphere of the planet. One hundred forty-four individual photographs. No editing for content. No compositing. No CGI. No green screen. No hologram. No drawings. These are photographs, assembled into video. Himawari-8 is a geostationary weather satellite operated by Japan. It orbits at roughly twenty-two thousand miles above the equator, remaining fixed over one spot on the planet, orbiting at the same rate Earth rotates. It was launched in 2014. It takes photographs of Earth in visible light and infrared. It does this every ten minutes, every single day, year after year. These images are available to the public. Meteorologists worldwide use them for weather forecasting. News organizations use them. Scientists use them. You can access them yourself right now. What you're seeing over that twenty-four hour period is the terminator line moving -- the day-night boundary shifting as the planet's rotation carries different regions into and out of sunlight, all viewed from a fixed point in space. It is not a composite. It is not a trick. The curvature you see is not distortion. It is not perspective compression. It is the actual shape of the Earth as photographed by an independent satellite operated by a nation with no interest in perpetuating a NASA conspiracy. This is what Earth looks like from space. This is the globe holding atmosphere in place with gravity as you witness weather patterns moving across its surface. This is reality. (No fisheye lens was harmed in the making of this video.)

Alex Boge

12,182 просмотров • 3 месяцев назад

Here’s my analysis on NotPixel Airdrop: - Mining phase: it was entertaining to paint on the canvas alongside with many of you! Personally, I had fun drawing 🧡 together with you, just for fun, no competition. For that I will rate it a ✅ - Earn Launchpool: personally, I think this is great that there’s such a tool, that allows holders effortlessly farm tokens. For me it’s a ✅ - Distribution: the major frustrations has been caused by the overload of the smart contract for Airdrop claim, where the biggest frustrations came from the fact that many were not able to claim their tokens for long (Including me) and watched the price go from $0,5 to $0,8 & to $0,2. Personally, I think that if Airdrop claim was done prior to the launch, it may have been better. For that, I will put a ❌ - Launch: NotPixel decided to launch its PX token only on DEX’es on TON. the price at launch actually was at $0,5-$0,8 however, it shortly went down to $0,2 , causing frustration to the community & making them question “who sold?!” & “why no CEX listings?” Here, it’s important to understand the way Sasha & his team decided that they want to build the project. As they mentioned on X “start from the basics, start from 0.” While many dislike this approach, I personally believe that this is how the launches must be happening. Launch on DEX -> generate traction & volume -> go list on CEX’es -> create more news -> grow more from new ppl joining For that I will put ✅ - Team allocation: while many have speculated that “team sold”. this is completely not true. In fact, team has locked their allocation & it can be verified on chain. Which is ✅ for me. - Future plans: NotPixel will have a big canvas on which you will be able to paint, but this time, with some NFT mechanics & PX token integration. For which it is ✅ to me. Burning: NotPixel plan with the new update also includes a mechanism for Burning, which means that PX token will be deflationary. Which is ✅ - ownership revoked: meaning that PX token supply cannot be increased. Nor any modifications could be made to the smart contract at this point. Which is a big ✅ in my opinion - Community: while many are still frustrated with the current token price on the market, many express desire for token appreciation & further growth. One of the interesting feedbacks I saw on the timeline was “NotPixel forced us all to hold”. Which shows that there are ppl who are not willing to get less than their target. Also many express that they want to see PX on CEX’es. For it to grow even more. ✅ - Holders: as with any Airdrop, many have sold their tokens on the market, the volume also came down a bit. However, what’s interesting is that while ~200k ppl sold, the token still fluctuates between the lowest point $0,13 to $0,26. Which shows that there’s a demand & ppl are accumulating more tokens. Currently PX has 205k holders. Which is a ✅ - BuyBacks: the NotPixel team recently announced the buybacks with the money raised from the NotPixel stickers sale. Which created more support for the price on the market. ✅ - Expectations vs reality: Many community members said that they were expecting price to be above $1 as minimum, many were predicting as high as $10. In reality, the price at launch turned out to be much lower than many expected. Leading to the frustration being expressed on the timeline. Which is understandable. ❌ Conclusion: - Mining phase: ✅ - Earn Launchpool: ✅ - Distribution: ❌ - Launch: ✅ - Team Allocation: ✅ - Future plans: ✅ - Burning: ✅ - Ownership revoked: ✅ - Community: ✅ - Holders: ✅ - BuyBacks: ✅ - Expectations vs reality: ❌ This is not bad execution, not many ppl will be able to pull this off in crypto. No one knows the future, but I chose to believe that Sasha & NotPixel team has a plan. Currently they are not listed on any CEX’es, but I think that Sasha & his team could easily get there. Let’s see what the future holds for us 🙌

Viktor 🧡

44,168 просмотров • 1 год назад

50% cheaper Claude inference with just one line of code change! - Remove → model="claude-opus-4-8" - Add → model="ship-like/claude-opus-4-8" I verified the cost saving in my own terminal by invoking the same Anthropic model with the same prompt. The underlying engineering by Ship is actually interesting, and the patterns can be used in any production LLM stack. Essentially, a trained model is a frozen artifact. Every request performs the same forward-pass, whether it extracts a date or refactors a module, because the compute decision was made at training time, before the request existed. Ship makes that decision at inference time instead. After seeing a request, it searches over executions, involving single models, cascades, ensembles, or harnesses with tools, and serves the cheapest one that will match the reference model's quality. This is not a basic router, because picking a cheaper model per query doesn't ensure the cheaper model preserves the original's behavior, like output shape, tool-call patterns, and refusals. Ship measures this equivalence directly. Outputs stay distributionally indistinguishable from the reference model, not token-identical, since two calls to the same model already differ, but they are indistinguishable in capability and behavior. Of course, some requests execute cheaply and some cost Ship more than the customer pays, but the price per request is still a flat 50% off either way, so the execution-cost variance moves off the application's bill entirely. The video below depicts the cost savings and output in my real invocation, and I partnered with the team to put this together.

Akshay 🚀

63,725 просмотров • 1 месяц назад