same Blender prompt. same 12 seconds. and Astra’s output... looks like it’s in a completely different class. this is why I’m getting more interested in these real software tests than generic benchmark scores. a model can look amazing on paper and still have huge capability gaps inside specific tools.show more

Everyone says “Gemini 3 can make games.” So we... tested it — with a Metal Slug-style prompt on both Gemini and Gambo. Same input. Completely different output. Here’s the result. #gemini3 #gemini_for_gameshow more

Image-to-3D tools are leveling up fast. I tested img2threejs... by Nick on a Canyon gravel bike from just one image, and the result is already super promising. Still early, but you can clearly see where this is going. Next, I’m going to test the exact same image in Blender and compare the final output. Repo below 👇show more

Stop relying on generic AI output Train a model... on your world, your character, your style, and reuse it forever That is the idea behind LTX Trainer, an open-source training framework that lets you train reusable IC-LoRAs for specific video transformations like colorization, deblur, decompression, reference sheet control, and a lot more Each LoRA gives the model a specific behavior it can repeat across clips, so your videos become more consistent, more controlled, and more connected to your own creative direction Check these amazing examples 👇🏻show more

We are getting absurdly close to the point where... “learning Blender” means learning how to direct an AI. A shot like this looks soft and playful on the surface, but under it is the usual 3D pain: modeling, layout, materials, lighting, atmosphere, animation, and endless tiny fixes until the frame stops looking dead. That is why Kimi K3 matters. With Blender MCP, you can describe a scene like a robotic goat walking through a dreamy field and let the model help build the environment, place the camera, shape the materials, script the motion, and iterate inside the real Blender project. The real shift is not text-to-image. It is text-to-workflow. Kimi K3 does not just give you a pretty output and disappear. It can help move the actual scene from rough setup to something that looks art-directed. Soon the hardest part of 3D will not be the software. It will be whether your imagination is good enough to deserve tools like this.show more

First look at the TGL indoor golf arena! Are... you more or less hyped? I’m starting to get interested, this looks cool. Justin Thomas and Justin Rose provide the tour. The screen is huge and it looks like a legit sports venue. If they can get some lively fans in there, it could be fun. I’m ready for casual night golf if it’s actually competitive. I see these guys caring, they have equity!show more

This AI puts a full production studio in one... person’s hands, cinematic-level output. $0.35 per generation. Competitors charge 7× more for the same model. And it’s 70% off. Hollywood is cooked.show more

Look at the difference the tool AND the prompt... make. Bad generator + lazy prompt: stiff movement, dead eyes, that obvious "AI look" everyone scrolls past. Seedance + a detailed, structured prompt: natural movement, real lighting, real pacing — looks like it came off an actual production shoot. Same product photo. Completely different result. It's not one or the other. You need the right tool AND the right prompt to get agency-level output. Ready to see the exact setup? Check the comments 👇show more

Kimi K2.6 just cooked Claude on design 😭 Same... prompt. Completely different output. I asked both to build a cinematic, scroll-driven indie game page. Dark. Editorial. Premium. Here's the exact prompt and what happened 👇show more

I compared MiniMax H3 and Seedance 2.0 on Pollo... AI using the exact same prompt, and the results were surprisingly different. The output from MiniMax H3 feels noticeably more realistic, with natural motion, authentic facial expressions, and fewer artificial-looking details. MiniMax H3 shows how prompt refinement and model capability can significantly improve AI-generated video quality. What are your thoughts? Which version do you find more realistic?show more

no this is what a real speedpaint looks like... flips, mistakes, zooming in and out, and a CLEAR software user interfaceshow more

if your app still looks like the one on... the left, you're doing it wrong. i used the same prompt. same model. the one on the right used appllama mcp + skills prompt ↓show more

Gavin Newsom made it a FELONY for anyone to... investigate his rigged elections in California. Imagine 59,000 coin flips all landing the exact same way? This is what tyranny looks like. I’m more interested in what can be done to stop him?show more

Claude Opus 5.5 + Blender is becoming f*cking illegal... 😭 A fully mechanical AI generated scarab with articulated legs, metallic armor and moving wings And the difference is actually ridiculous 🟠 Claude Opus 5.5 → $29 / 4 min 🔵 Blender → $16 / 2 min 42 sec Same creature, same mechanical structure, two different workflows The crazy part is that this isn’t just a static 3D model The legs, wings and body all need to move together without breaking the geometry bro we’re getting to the point where building robotic creatures feels more like writing a prompt than doing 3D modeling 💀show more

GPT Astra vs. GPT-6.1 Sol and every previous Sol... generation on the Mario test. Same prompt, same test. Astra still wins, finishing in just 15m 37s for $2.96. GPT-6.1 Sol took 34m 38s, more than twice as long, but cost just $0.64 and delivered the best result of any Sol model. Astra is still ahead, but 6.1 Sol is getting surprisingly close for a fraction of the price.show more

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.show more

Garnacho vs Cunha in 16 seconds....same scenario,same kits colors... ,completely different outcome.show more

real estate has always been a frozen asset. mey... real unfreezes it. your property token is tradeable onchain, and it sits in your wallet right next to your $USDC yield. same asset class. completely different mobility.show more

GIRLS, REMEMBER THIS… turns out eye makeup can completely... transform your eyes. And the secret? it’s just EYELINER. You just need to know the right type and how to use it. look at this…it’s the same eyes, but a completely different energy, right?show more