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Hmm… custom gravity might work well with the spiral corridor? 🤔 #threejs #threejsJourney #webdev #opensource #gamedev #r3f #ecctrl

13,143 görüntüleme • 2 yıl önce •via X (Twitter)

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When a spacecraft leaves Earth, it doesn’t just fire its engines and head straight to its destination. In many missions, especially those going beyond low Earth orbit, there’s a more subtle and elegant strategy at play, one that uses gravity itself as part of the navigation system. This is often called a gravity assist, or a slingshot maneuver. But in the case of missions like #Artemis II, what’s being used is a closely related idea known as a free-return trajectory. At first glance, it might sound simple: the spacecraft goes to the Moon, loops around it, and comes back. But the physics behind it is anything but simple. Instead of relying on continuous propulsion, the spacecraft follows a carefully calculated path through the gravitational field of the Earth–Moon system. It is launched with just the right speed and direction so that, as it approaches the Moon, the Moon’s gravity bends its trajectory. The spacecraft is effectively flung around the Moon, redirected onto a path that naturally brings it back toward Earth. No major engine burn is needed for the return. Small trajectory corrections may still be required, but gravity does the heavy lifting. That’s the key. This kind of trajectory is not just efficient, it’s also safe. If something goes wrong with the spacecraft’s engines or onboard systems, gravity itself ensures the return. It’s an inherent backup plan, built into the trajectory from the very beginning. The same fundamental idea appears in gravity assists used across the Solar System. When a spacecraft flies past a planet, it can gain or lose speed by exchanging momentum with that planet. From the spacecraft’s point of view, it’s as if it has been accelerated without using fuel. In reality, it has borrowed a tiny amount of orbital energy from the planet itself. That’s how missions like Voyager reached the outer planets, and how probes continue to explore regions far beyond what their onboard fuel alone would allow. But there’s an important distinction. An interplanetary gravity assist is typically used to change speed and direction, often increasing the spacecraft’s energy. A free-return trajectory, like the one used in Artemis II, is designed for something more specific: a path that naturally loops back to Earth without requiring additional propulsion. It’s less about gaining energy, and more about shaping a trajectory that guarantees a return. To understand why this works, it helps to stop thinking in straight lines. In space, motion follows curves defined by gravity. The spacecraft is constantly falling, first toward Earth, then toward the Moon, and then back toward Earth again. What looks like a loop is really a continuous free fall through a changing gravitational landscape. This way of navigating space reveals something deeper. We tend to think of engines as the drivers of motion, but once a spacecraft is on its way, gravity does most of the work. The art of spaceflight is not just about thrust. It’s about knowing when not to use it. #GoodLuck #Artemis NASA Artemis

Erika 

235,152 görüntüleme • 6 ay önce

XLOV's heartfelt messages (while crying) to themselves: ❤️: Oh my muti, this is what you've always wanted, right? Now you can finally take the stage as your most amazing self, your most beautiful self, and you've also gained the chance to keep performing on the stage you've always wanted without stopping. You've grown so much, and now you're loved by so many fans just as you've always wanted to be. So keep growing more beautiful, keep fighting harder, keep creating more amazing works. And if inspiration ever runs dry, don't be shy! ask people lots of questions!! 🩷: joining XLOV is the best choice you'll ever make in your life So work even harder and let's show everyone even more amazing, great music and performances everyone Fighting Fighting I love you Muti hyung I love you hyun I love you Haru I love you evols 💙: hyun, you need to do better. You're lacking too much right now. Just be a little more ambitious. Still, thanks to how well you've grown over this past year, you've done remarkably well. You've done great. Yes. I'm so, so grateful you contributed so much. Since you endured so well, I hope next year we can paint beautiful memories together with our Evols with all our might. I love you so, so much. Our Jinyoung, fighting together. 💛: Haru, thank you for all your hard work up until now. Because you worked so hard, you're now part of a team with hyungs who love you, and you've become someone who can be loved by many people. From now on, please keep working hard with even more confidence. I love you, Haru.

meatball 𖦹*.

55,984 görüntüleme • 9 ay önce

The three-body problem is a classic and notoriously difficult question in physics and mathematics. It asks: How do three objects, such as stars, planets, or moons, move under the influence of each other’s gravity? Unlike the simpler two-body problem, which has precise and predictable analytical solutions (like the Earth orbiting the Sun in an ellipse), the three-body problem quickly becomes chaotic and unpredictable. This complexity arises because each object's motion constantly affects, and is affected by, the other two. These gravitational interactions form a tangled and unstable system. In fact, there's no general formula that can solve all three-body scenarios exactly. This was first demonstrated in the 19th century by Henri Poincaré, whose work laid the foundations for chaos theory. While exact solutions remain elusive, scientists have discovered certain special cases where the motion is stable or periodic. One well-known example is the Lagrange points, where three bodies can maintain a stable triangular configuration. However, such neat solutions are rare. Today, thanks to powerful computers, researchers can simulate three-body systems with remarkable accuracy, helping us study triple-star systems, exoplanets, and asteroid dynamics. Yet even small changes in the starting conditions can lead to dramatically different outcomes, highlighting the sensitive dependence on initial conditions that defines chaotic systems. The three-body problem is actually a specific case of the broader n-body problem, where n can be any number of interacting bodies. As n increases, the complexity and unpredictability rise even further. The three-body problem serves as a vivid example of how simple laws of nature, like Newton’s law of gravity, can produce behavior that is intricate, unexpected, and profoundly difficult to predict.

Erika 

215,611 görüntüleme • 1 yıl önce

I went from ZERO($0) to 5 figures in less than 5 months The year 2024 was a defining year for me and a lot of my friends. This story is one I should have told since but was waiting for the right time It all began in August after losing a cumulative of $20,000. That was literally all I had left with me and was down to less than $300. They say it all begins when you are down to your last 1 million and funny how I didn't even have up to a million Over the course of several days I began asking myself questions as to what I would have done with the money. I could have given my parent their dream house or gotten a car for myself, my mum and started my Agric business. Well, that was how Anxiety started with heavy palpitations and a pulse of 130 Not to bore you, allow me explain step by step as to how I bounced back 1) God - I wont lie to you, God and Prayers are very important in this WEB3. We have very few Normal people on here as this space is toxic enough to destroy you and your mental health 2) Network - See, I know all your idolos are telling you to grind hard which is factually correct but the real profits in this life are from who you know. Check SAYRAAH #WID 📈📉📊 content on networking for more information 2) Excellence - One little lesson I've learned from life is that excellence in itself is not restricted to a particular sphere but its a way of life. I strongly believe the reason all my clients refer me like their lives depend on it is because I handle my job with a unique style of excellence. Starting from my personal page to my clients jobs and even mannerisms 3) Hard work - This aspect has been misused so much. Hard work although very vital must be accompanied with a lot of smart work for you to have results. Scripture shows us that there is a possibility for two people to engage in similar work while they get different result. The one with the smaller result was termed a FOOLISH MAN and the one with better results was called a WISE MAN. The difference is in the knowing, you need to learn how to actually work hard 4) Voice out - Make sure you always voice out when you are not doing as much as you are supposed to. I have a lot of my guys that I tell intricate stuffs about my money-making journey and everyone puts heads together to ensure we all make money I might sound like aspire to perspire but the reality is, bouncing back is difficult but I want you to know that your hard work will eventually pay off I could have just said GOD DID but I know there's someone out there that might need this. Don't stop and don't settle, your future will thank you for it Over the next few days, I would be sharing some opportunities I recently found that I'm sure will print you money. Stay glued

Noah {♟,♟} 🦇🔊

87,775 görüntüleme • 1 yıl önce

yesterday, i stumbled onto the most underrated market research tool. tiktok creator insights. it's a goldmine of consumer behavior data, hiding in plain sight. and it's free to use. here's why it's powerful: 1. shows you what people are desperately searching for 2. highlights topics with high demand but low supply 3. reveals trending questions in every industry 4. tracks search growth over 14-day periods the "content gap" tab shows you problems people are actively trying to solve, but can't find good solutions for. so that's cool for a couple reasons 1. help you create content that has low supply/high demand (better chances of going viral) 2. you can build startups to some of these trends Example: i searched "email management" and found: • "how to clear 10k emails" • "best way to organize work inbox" • "email templates for busy people" thousands searching. hardly any solutions. the beauty of this • it's real-time market research • it's actual user intent • it's completely free • and most founders aren't using it a bunch of smart founders are mining tiktok insights right now it isn't perfect, but you never know what you might find your next startup idea might be hiding in those search trends. So, ill share how to access it because it’s kinda hidden: 1. Go to TT search 2.Type in “creator search insight” 3. Tap view im one of those people that think using data like this is your unfair advantage. if tiktok is the new search engine, then tiktok creator insights is the new google trends. might as well use it.

GREG ISENBERG

265,916 görüntüleme • 1 yıl önce

After a few more hours, I think I've figured out Opus 5. Opus 5 is trained to be more agentic than anything I've used. All Claude 5 models are like that. So what changes? The way to interact with Opus 5 or contextualize it won't work the same way as with other models. It loves exploring, so it doesn't need much guidance for it. Unique preferences, artifacts, and references compliment it well and enable cleaner and more effective exploration and execution. Now that it can explore more effectively on its own and understand intent better, the best thing to do is to get out of its way (e.g., it doesn't need examples of your preferences; a clear high-level description of it works best). It's truly agentic in that sense. A good first step to provide better context for Opus 5 is to distinguish between what's situational and what needs persistence. Regardless, persistent system prompts and CLAUDE.MD needs to stay lightweight. Remove memories and tool descriptions from these. CLAUDE.MD is also a great place to tap into progressive disclosure by linking command/skills to it. On the situational side, agent skills and auto-memory can leverage progressive disclosure and the improved ability of the model to use its external context/knowledge. Conflicting and unnecessary instructions, which are common at this layer (mainly to ensure reliability), are going to throw off this model easily. That's the biggest change I had to make. Simple, clean, and clear prompts and skills work best. I had to clean a lot of my skills and system prompts. The way I prompt remains the same (usually clear and well-scoped). MCP tool descriptions are also more descriptive and have been deduped from the system prompt. Anthropic released a guide on the new rules for context engineering, which was helpful here. I started to test the recommendations and created a little artifact with the things that worked along the way. This might feel like a lot of work. Believe me, it has been frustrating. But I think we can expect future frontier models to become more agentic and smarter at figuring out the right context/gaps. The best thing to do is to prepare for that now. Boris Cherny mentioned that Opus 5 is their least prompt-injectable model yet. I am not sure if that was something they intentionally trained for or if it emerged based on how it was trained, which is to be extremely agentic in nature and more direct in execution.

elvis

37,824 görüntüleme • 2 ay önce