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STOP vibe coding Flappy Bird or Snake clones. AI gamedev tools are EASIER than ever to use. So start building your dream game NOW. I made a point & click pirate adventure game: → 3D rigged characters → Level editor + Hotspots → Voice acting → Inventory No Unity....

21,757 просмотров • 7 месяцев назад •via X (Twitter)

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This is one week of rebuilding Soccer Pinball Pro with Astra + Unity CLI. Day 1 vs Day 7. I see so many people on here one-shotting these incredible systems and games, and I’m constantly blown away by what people are building. But my approach with this has been a little different. This isn’t a new game or an experiment. It’s a rebuild of a game I originally made in 2019, and I’ve been trying to stay true to what made that game fun while finally building everything I wanted it to be back then. In seven days I’ve gone from getting the basic game working in a different engine to rebuilding the players, improving the AI, adding passing, tackles, bicycle kicks, better ball feedback, dynamic camera movement, new lighting and shadows, grass, a new scoreboard, goal effects, and an actual PvE match mode. And I’ve been able to iterate on all of it almost as quickly as I can think of things to change. But the important part is that this is my vision. It isn’t a screenshot or concept I pulled from somewhere and asked Astra/Codex to recreate. This is a game and an idea I’ve had sitting in the back of my mind for years. I executed on that idea in 2019, but what I was capable of making then was nowhere near what I had actually envisioned. Unity itself is still probably the slowest part of this workflow. Waiting on compiles, entering play mode, importing, building, and all those little interruptions add up. Unity 7 intends to address a lot of that, which makes me even more curious about where this workflow goes next. The part that excites me most isn’t just how much I can build in a week. It’s realizing I can go back to ideas I had years ago and finally build the games I saw in my head at the time. That has completely changed how I’m thinking about game development. There’s suddenly this massive backlog of ideas that no longer feels out of reach. Unity OpenAI

devseb

134,897 просмотров • 14 дней назад

Astra (GPT-6) is here!!! I've had early access and tested it like crazy with things like games, code, writing, browser control, presentations and general knowledge work. This is the best model I've ever used. Period. (Incredible demos below in this thread ⬇️) Here's my take on Astra: > It's insanely capable. This feels like a massive improvement, not just an incremental change. This is especially true with zero-shot prompts. > It's all about knowledge work. Slide creation, analysis, writing, and browser control. And oh my...it's so good at browser control. GPT-5.6 was already fantastic at doing things in the browser, Astra is another level and significantly faster. > We're closer than ever (arrived?) at prompt-to-playable game. And I don't just mean only playable, these are actually fun games. I bet if someone with a great eye for games used Astra, they could create a viral game within 1-2 weeks. > Astra is better at writing but not perfect. It removes much of the "AI Smell" we're all familiar with but some stink still survived. > It has a tendency to use the same design colors and look/feel as GPT-5.6 (forrest green anyone?) but it is more steerable in design than previous models. > It's highly steerable in general. A little nudge goes a long way. When I first started using Astra, almost every task I gave it would go for ~30 minutes. I wanted it to keep working. Adding more specifics to a prompt helped greatly with it's ability to work for a long time. > Astra's 3D understanding is unmatched. 3D asset creation was consistent and easy and its spacial awareness while building complex 3D worlds blew me away. I'm still getting familiar with Astra but this will now be my go-to model for any difficult work I have. Check out the demos below: 👇

Matthew Berman

1,905,705 просмотров • 23 дней назад

I'm building my game with GPT-6, and color correction has become one of my favorite uses for it. When I generate assets separately, I can like each one on its own and still end up with a scene where the colors don't belong together. A castle looks fine in isolation, then turns greenish against the terrain. Its swords and shields disappear into the background. Getting those things to match used to mean a lot of repainting and trying different textures. Now I've built a workflow where GPT-6 takes screenshots in Unity, inspects the object's color textures, and helps bring them closer to the look I want. I can give it the terrain or tree textures as color references. It can prepare masks, send the relevant textures through Image Edit, then put the result back into the game for another look. Editors such as GPT Image 2 Edit or Nano Banana Edit can be part of that workflow. This is also why I keep pushing for properly prepared 3D models. If the parts are separated logically, you get much more control later. We could work on the swords and shields without changing the whole castle. The stone could stay dark while the equipment became easier to read. The latest pass on my game covered the overall post effects and the skeleton castles. We matched the castles to the surrounding terrain, adjusted the equipment colors, and added a subtle moving highlight. The first stronger color pass went too far. I asked for the accents to move about 30% closer to gray, and that got them where I wanted: visible, without pulling all the attention. I'm so happy with the difference. The video shows the before and after across the map and on the castles. Being able to give feedback on the actual scene and keep refining it this way feels great.

Stefan 3D AI

16,850 просмотров • 11 дней назад

BREAKING: Anthropic just dropped Opus 4.8—and it is a MONSTER We've been testing for about a week Every 📧 and our verdict is they could've just called it Opus 5, it's that good. Here's our vibe check: - Beats GPT-5.5 on Senior Engineer bench. On our toughest benchmark Opus 4.8 scores a 63—a hair higher than GPT-5.5's score of 62, and a full 30 points higher than Opus 4.7. It tackled a ground-up rewrite of a production codebase, and actually built something that works. HOWEVER: Coding performance varied a lot at different reasoning levels. We recommend using it on xhigh for best results. - Incredibly good writer. Opus 4.8 scored a 79.6 on our writing benchmark—measuring models on real-world writing tasks we do all of the time like essay writing, promo email writing, and more. It beats GPT-5.5 by 6 points. It produces well-written prose with fewer "AI-isms". It's also very good at writing in your voice given the right context. HOWEVER: Writing performance also varied with reasoning levels. Medium reasoning had higher incidence of AI-isms—we found best results with high. - Beast at knowledge work. Opus 4.8 is very good at general knowledge work tasks like report creation, research and more. It produced the best PowerPoint one-shot we've ever seen on our deck generation benchmark. - Emotionally intelligent, willing to question the frame. I've also found it to be quite good at talking through psychological or interpersonal issues. It has a high EQ, and it's also good at not glazing and helping to expand your perspective. Its thought process feels extremely rich and dynamic. THE BAD: These days a model is only as good as its harness, and Codex is still a far superior harness to the Claude Desktop app. This has kept me using Codex + GPT-5.5 as my daily driver, but I am flipping back and forth a lot more between Codex and Claude. Anthropic is back baby! Read the rest on Every 📧:

Dan Shipper

354,673 просмотров • 4 месяцев назад

After 3 incredible years and 1.6M students later, my journey at ALX Africa has come to an end. It has been a life-changing experience, during which I made a lot of friends, worked with an incredibly dedicated team, and met so many talented students. A few numbers. We scaled from a few thousand students to 1.6M students on our platform. Students loved it and many of them took more than one course: 4M total! For the famous #ALX_SE Software engineering program, our SE students made an average of 2,000 commits and our checker reviewed 180M of their projects. That’s 2B lines of code… and that was before Claude Code. They actually wrote these themselves (unless Kimba said otherwise :) A big thank you to all my SE team mates, I am so proud of what we have accomplished, and I will really miss you all. Thank you to Fred for the trust he put in me and always supporting my crazy new and disruptive ideas. Thank you to my students. It was an honor to work with you, watch you struggle but relentlessly move forward, no matter what, until you got this job. To those who are still struggling finding this job, keep pushing forward. Don’t let go. You got this. You all have worked so hard and I am so proud of you. You are the greatest thing I've ever been part of and I can't wait to see what impact you will have on the world. It’s your turn to shine now, and hopefully for some of you to give back to the community whenever you are in a position to. I hope you’ll keep sharing the good news with me when you get this internship, this job, or when you launch your company. These messages are everything to me. In any case, I’ll be watching you from afar, and you can count on me to continue answering all your LinkedIn and X messages. Can’t conclude without ALX Africa’s signature: continue to “Do Hard Things”. Remember who you are, where you are coming from, and where you set out to go. I’ll see you there soon. With love. J PS: Want to know what's next for me? Drop your email here:

Julien Barbier 🙃❤️🏴‍☠️

19,035 просмотров • 5 месяцев назад

HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:

elvis

18,374 просмотров • 4 месяцев назад

🚨 JUST IN: THIS FREE TOOL JUST REPLACED FOUR AI IMAGE AND VIDEO SUBSCRIPTIONS AT ONCE. Midjourney. Krea. Higgsfield. Openart. One repo. 200+ models. Zero dollars a month. Here is what it actually does. It is a full image and video studio that runs in your browser or as a desktop app. Text to image, image to image, text to video, image to video, lip sync, cinema mode with real camera controls. All of it. 4,500 people already starred this. What you get for free: → 50+ image models including Flux, Midjourney v7, Ideogram, GPT-4o, Seedream → 60+ video models including Kling, Sora, Veo, Runway, Wan, Hailuo → lip sync studio with 9 dedicated models. upload a portrait and audio and it talks → cinema studio with real camera controls. lens, focal length, aperture, film stock → feed up to 14 reference images into one generation → self-hosted. your data never leaves your machine The crazy part is there is also a hosted version that needs zero setup. Just open the link and start generating. Now the math. Midjourney Standard: $30/month Krea AI Pro: $30/month Higgsfield Plus: $49/month Openart AI: $15/month That is $124 a month. $1,488 a year. This repo does everything all four do. With more models than any of them. For free. Forever. No subscription. No vendor lock-in. MIT licensed. Download it in one click on Mac or Windows. Someone should have told me about this sooner. I feel like an idiot. ( save this )

Kanika

14,769 просмотров • 5 месяцев назад

Building a personal knowledge base for my agents is increasingly where I spend my time these days. Like Andrej Karpathy, I also use Obsidian for my MD vaults. What's different in my approach is that I curate research papers on a daily basis and have actually tuned a Skill for months to find high-signal, relevant papers. I was reviewing and curating papers manually for some time, but now it's all automated as it has gotten so good at capturing what I consider the best of the best. There are so many papers these days, so this is a big deal. You all get to benefit from that with the papers I feature in my timeline and on DAIR.AI. The papers are indexed using tobi lutke qmd cli tool (all of it in markdown files along with useful metadata). So good for semantic search and surfacing insights, unlike anything out there. I am a visual person, so I then started to experiment with how to leverage this personal knowledge base of research papers inside my new interactive artifact generator (mcp tools inside my agent orchestrator system). The result is what you see in the clip. 100s of papers with all sorts of insights visualized. I keep track of research papers daily, so believe me when I tell you that this system is absolutely insane at surfacing insights. This is the result of months of tinkering on how to index research and leverage agent automations for wikification and robust documentation. But this is just the beginning. The visual artifact (which is interactive too) can be changed dynamically as I please. I can prompt my agent to throw any data at it. I can add different views to the data. Different interactions. I feel like this is the most personalized research system I have ever built and used, and it's not even close. The knowledge that the agents are able to surface from this basic setup is already extremely useful as I experiment with new agentic engineering concepts. I feel like this knowledge layer and the higher-level ones I am working on will allow me to maximize other automation tools like autoresearch. The research is only as good as the research questions. And the research questions are only as good as the insights the agents have access to. Where I am spending time now is on how to make this more actionable. I am obsessed about the search problem here. The automations, autoresearch, ralph research loop (I built one months ago) are easier to build but are only as good as what you feed them. Work in progress. More updates soon. Back to building.

elvis

467,307 просмотров • 5 месяцев назад

I've been working in silence for quite a while now. Tbh, I don't really even know where to start, so cue the rambling and ranting. Regardless of which side of the fence you sit on, no one can argue the past few years haven't been politically and economically wild. For crypto as a whole it feels like a never ending game of tug of war. A lot of X content has become toxic, so I just largely am not interacting these days. But I read, I read a lot of it. I think we like to forget history a bit in this community. $PLS launched off the highs, and the SEC swooped in right after. Very few people want to admit it, but it shook confidence immediately. I mean no other crypto project has survived such a thing at the time. But #PLS $PLSX and $HEX did. However, winning doesn't unshake that confidence. And RH during and after that event took social precautions to protect himself and his creations. Thing is, the guy isn't stupid. Someone once asked me if I thought certain aspects of the launch we rushed because he knew it was coming? And honestly, maybe. I'd attribute at least a non-zero probability to it. And If that were the case, im glad it was rushed. That case may have gone differently otherwise. Do I still think #PulseChain, #HEX, etc... all have futures? Yes. RH has had the opportunity to just straight up bounce from all of this. Why hasn't he? You could point to exhibit A, B, C, D, etc... of how he's likely got the funds to do that and we all could relatively do nothing about it. So why is he still around? I think it's pretty simple. The usual answer, he wants to win. It's in his twitter handle for Christs sakes. I'll go a step further and say he likely also wants us to win by extension, arguably not as much as he wins, but I mean that's pretty locked in at the moment 🤣 That's not to say he hasn't long been encumbered. And in that state, at lot has gone on without him. Much of which is / was bad. $pDAI guys... I pointed out from day one how building all this around a protocol in a dangerous state was a risky move. And I was right about that.... on multiple occasions... But does that matter now? I suppose not as much. In its current state, it's seemingly no longer exploitable. No different than a meme token now. (presumably, not like I have deep dove on any further risks since ESM). So I guess just whale risk mainly now? Now a lot of people here are in the anti-pdai camp. Me too for what it's worth. But I don't care as much about it's negative anymore in its current state. A lot of people are still in the #pDAI camp strongly. We view this as tribalism, but it's important to note that makes all of us in the #PulseChain camp universally. So these day I find myself relatively pDAI neutral. If you guys want to send it to $1 do it. Only whales can stop you, they run out eventually. (insert super strong this is NOT financial advice). Hell you can maybe even use Sigma to help? Or maybe it wont help, idk. Depends on how people use the software. Conversely, when looking at chain state overall... Why is there nearly $50M in stables sitting on the sidelines. Why not just bridge it out if you want out of what you think is a dead chain. Surely leaving it there exposes you to bridge risk? Why all these yield movements, why the $HEX dusts.... Something is happening. People are seemingly waiting to see what that something is. Or I am reading into things, NFA as always. This whole post is just ramblings of someone trying to do the best they can and certainly not any kind of advice. When I look at other ecosystems, I see a level of polish we don't have. I see tooling we don't have, I see a fostered developer environment we don't have. So I've just been building it, painstakingly.... Because someone has to if we want to be taken seriously. And what I've been building has allowed me to get Sigma to where it is. Sigma is so close... Really just in UI mode, performance optimization, going through nice to haves. I don't believe in launching in a non-finished immutable state. So yeah, I take my time. As with everything. But my point with all of this, and the "why" #Sigma question.... It's unifying, anyone can participate. Which tribe you're in doesn't matter. And if you don't like it, don't use it. It's just software you can use or not use. As it should be. The years of tooling work to deliver this has been a lot of work for one guy in silence. In that time AI has appeared. My take, every dev should be using it. Given the right direction and context. It will make you better. If you blindly trust it, it will make you worse. GPT 5.4 audits smart contracts better than most auditing services. Especially if you give it the context of what you are trying to do. Anyways I digress, testnet is soon. Soon more meaning a feeling of near completion not always reality. That how software is. I do think Sigma stands to unify the chain in a common goal, and shift liquidity into more meaningful places, but ultimately it up to the people the decide to use the software or not use it. And after these frameworks I've built will be applied to what I am tentatively calling the universal hex UI. More or less something aggregative of every derivative I can reasonably support. With data and analytics we since lost. So not just $HEX, $HDRN, and $ICSA, but others as well. However, that depends on some aspect of $Sigma to exist first, so sigma first, chain unity first. And last but not least, take care of yourselves and strive to do cool things. If we aren't doing cool things then what's the point? Hope you think my UI looks good, I spent a while on it. /rant

Alex McWhirter

42,415 просмотров • 5 месяцев назад

today was the first time i was genuinely impressed with what AI can do i recently decided to buy a whole FPV drone setup knowing basically nothing about the hardware side of it there's a pretty steep learning curve even just to set everything up properly: radios, RF protocols, flight controllers, ESCs, firmware, batteries, goggles, betaflight configs etc as someone that spends essentially 12h a day prompting agents to build software, it's actually pretty rare that i interact with AI on something where i have zero idea what's going on under the hood, and i never really used it for debugging a bunch of physical devices that all have to talk to each other i had codex + voice mode open for basically the entire setup. told it everything i bought, sent it some pics and then just started talking to it >what order do i set all this up in >how do i change this setting on the radio >which of these cables do i use >the drone is flashing pink wat mean >can you make this thing less insane to fly in my apartment and it was surprisingly seamless it would go find the manual for whatever specific thing i was holding, tell me exactly which buttons to press, what port to plug something into, what i should see if it worked etc then when i got to configuring the actual drone i had codex running on the computer it was plugged into, so it could inspect the config, back everything up, change settings, send usb reboot signals and check what happened the insane thing about voice mode is that youre literally hands on with the hardware and just telling codex what it should do, i literally never touched a thing on the computer besides starting voice mode if something doesn't work you tell it what happened and keep going a few hours of this and i had the radio, goggles, charger, batteries, drone firmware and betaflight all set up and had actually flown the thing the part that stuck with me is that i also understood what most of it was doing by the end, every time there was a term or tech i didnt understand id just ask to explain there is something absolutely magical about having proper real time personalized assistance, being able to dump a pile of unfamiliar hardware on your desk and have something figure out exactly what you own and walk through it with you in real time you become the missing physical link pressing the buttons i think spending all day using coding agents has actually made me pretty numb to AI progress. every new model is a bit better at some benchmark or can oneshot some task that the previous one couldn't and you just kinda adjust to it this felt different mostly because i had no existing knowledge to fall back on for the first time the jarvis comparison didn't feel cringe ai for coding and general computer tasks is cool and all but this feels a lot closer to the endgame anyone should be able to just ask any question about whats going on in their life and have realtime support i wonder if more hardware products will actually start exposing some sort of MCP or interface for agents to plug into thinking for example of how elevators in china are increasingly built with interfaces that let delivery robots call them directly instead of having to physically press a button we might actually start seeing hardware design shift from being purely human-interface-first to also being agent-interface-first buttons, screens and menus exist because humans need some way to tell machines what to do. agents don't necessarily need any of that if the hardware exposes an interface directly very curious which side closes the physical world gap first: humanoid robots that can operate hardware designed for humans, or hardware adapting so agents can operate it directly

ultra

18,213 просмотров • 27 дней назад

CHENGDU TRIP REPORT: First-hand observations did confirm that infrastructure and technology advancements in China are moving at an extreme rate. What we noticed in Chengdu: 1) Big clean subways comparable to Seoul or Tokyo, 2) Ruler-level super-wide roads and highways, 3) Alipay has revolutionized buying stuff and is way easier than say the Korean cashless systems, 4) Air pollution was not really a noticeable thing, 5) Overall, things are just built smart and pragmatically for widespread use by the common people. As far as social technology, same fun and safe vibe as elsewhere across East Asia, thanks to thousands of years of Confucian social science on how to cultivate good people and harmonious society. Regarding Alipay/WeChat: This was the only truly shocking thing, as I had not read reports covering the full implications of this. It really changes everything. Now we don’t need lines, menus, verbal orders, credit cards, kiosks, account numbers, wires, or receipts. That whole annoying process just got annihilated, and this all seems to have happened since my 2018 trip to Shanghai!? For everything you just scan your phone, menus come up in your phone, select taxis destinations in your phone, all data and proof of purchases are in your phone. But, like morons, we kept walking up to counters and staring like “where is the menu,” and they are staring at us alike “why are you standing here” and we are thinking like “is this even a coffee shop?” Habits. Okay, total process change! Now just walk in and sit down, menu comes up on your phone, select items and click pay, they bring, then you walk out. With taxis, subways, busses, movies, shopping, friends, it just makes everything so much more efficient and solves many long-standing problems… honestly have not yet fully mentally processed this. Next stop, Shenzhen!

Sol 솔

33,819 просмотров • 1 год назад

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 просмотров • 1 год назад

this FREE MCP just replaced my entire $12K/month brand research team (I literally made this FREE) while you're downloading n8n workflows you'll never actually use... this thing creates detailed psychological profiles from any Twitter account or website in 30 seconds - zero installation - no python - no custom code - just pure intelligence here's what's actually happening: most people think AI automation has to be complicated they're trying to become overnight developers building complex workflows that break after one week burning hours on setups they'll abandon in 3 days meanwhile professionals are using simple tools that actually solve business problems you don't need to become a developer to use AI intelligently you just need the right tools this MCP gives you what $500/hour consultants charge for: → complete psychological profiles of any Twitter account → brand DNA extraction (colors, fonts, layouts) → content strategy insights normally reserved for agencies → analysis detailed enough to recreate entire brands think about what this replaces: expensive consultant fees ✓ manual competitor research ✓ hours of brand analysis ✓ complex automation nightmares ✓ the setup is embarrassingly simple: step 1 → click link in comments step 2 → get your MCP code step 3 → add to claude settings step 4 → analyze any brand instantly total time: 30 seconds we're scaling this to analyze 1,000+ tweets soon adding LinkedIn, YouTube, TikTok, Instagram next early access is completely free right now while everyone else is trying to learn python... you'll be extracting million-dollar brand insights in under a minute comment "MCP" + repost this + like + bookmark (you must follow or I CANT DM) i'll drop the link in your DMs don't sleep on this every day you wait is premium intelligence you're leaving on the table

4nzn

13,522 просмотров • 1 год назад