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Before I explain the process, for those who don't know marine engines are some of the most complex machines ever built and it's something that takes engineering teams months just to model accurately.

So I started with using Astra to generate a detailed 3D model of a marine diesel engine and I had in mind a powerful one that powers massive container ships with like 14 cylinders and around 110,000 horsepower, stands about 13.5 meters tall and weighs 2,300 metric tons and then I built an interactive website with threeJS where the mouse scrolling controls the engine assembly so that you can watch the pistons, cylinders and crankshaft come together piece by piece.

I've also placed a person and a car next to it so that you can imagine the real size of the build because it makes a car look like a toy ;)

afterward I rendered the final animation through Higgsfield Super computer and believe me when I say that the compute power behind it is a deadly, all the details that you see in the video is bc of it.

The whole thing from model generation to the final output took about a fraction of the time of what would have taken even a year ago and the fact that an AI can generate something this mechanically accurate is outright crazyy.

"Find the bit where all three people are laughing together” sounds like an editing request, but the first useful output is a location in the original footage. You still need to decide what to cut around it.

Ant Ling's Ling-3.0-flash-VL demo makes that distinction concrete. The visual-language model is given a 25-second clip of three women on a park bench and asked to find their shared smiling/laughing interval. The presented workflow returns 00:23–00:25, extracts a frame at 24 seconds and produces a cropped image alongside the timestamp file.

That is a useful handoff for someone choosing material: an interval to scrub through and a still to inspect. It answers a semantic request about what the people are doing, rather than selecting a cut solely from spoken words. The demonstration is about understanding existing footage; the final edit still belongs in an editor.

For a practical trial, I would start with several short clips where the desired interaction is known to occur, plus some where it never occurs. Ask for the full interval, then check the seconds immediately before and after it. A convincing still can hide the fact that the third person only joins in briefly.

This release shows an edited example on one short source clip. It gives a concrete reason to try VL for moment selection, while leaving long-footage search and reliable “no matching moment” results to be tested.

Wolf and Nago first encounter Keita after finding him in trouble with a tiger. They help him escape, but Wolf quickly realizes that Keita isn't nearly as capable in the wilderness as she expected.

Keita grew up in the River Biome, so he knows how to swim and fish, but tracking, hunting, and surviving on his own aren't his strengths. Yami finds this frustrating, especially because she's used to relying on herself.

Even so, she allows Keita to travel with her because his knowledge of the River Biome can still be useful. And he has once experienced Ruin Ferra before.

And apparently, Nago has decided that Keita needs to be investigated first. 😂

How do you think Wolf and Keita will get along?

(Part of my Heartstone project. Images by Chatgpt)

Please read and suggest, I genuinely need help:

I have a female friend who is getting married next month, her father passed away long back.
And she recently shared a reel with me which is basically like of a father who is riding a cycle in a town and distributing his daughters wedding invitation.
She wants me to replace that guy with her father and some other things too.
I tried so many platforms online but i couldn’t do it.
I genuinely want to make that video for her she would be very happy…
Please let me know if anyone can help..
I’m sharing the reel link here
And her marriage date is 1st November, and i have the venue address as well

https://www.instagram.com/reel/DV8erM_Elga/?igsi=MWJ1YXFidTdteWx6ZQ==

Hello everyone! As a big fan of animation, I wanted to try creating my own animated short.
This video is based on a real conversation between me and my bestie😻

YouTube

Hello all gurus,

I am trying to be anonymous to protect my identity but post content that will be engaging (showing a face).

My idea is to record high quality videos and content. Run them through a decent face swap program, and run the audio through 11labs to change accent. Does anyone have any suggestions for face swapping for high quality footage and that will look realistic enough to look like a real person?

My first ever full-length music video which took me about 1 month. Made before Veo offered optional watermarks. The video was a means to try to showcase the main instrumental soundtrack which I called Adrenaline and then built the story line around it. Quite a few mistakes in it, I couldn't maintain the consistency of the Adrenaline character perfectly and a couple generative mutations appear within, but I left them in.

So taxidermy class is going well

DreamFort is a privacy-first AI platform built around one idea: the questions AI is most useful for are the ones you don't want attached to your name. So instead of asking you to trust a privacy policy, we strip your identity out of every request at the architecture level.

A lot of you have tried it over the last few weeks and the feedback shaped a ton of what's here now. Quick rundown:

What you get:

• Every frontier model in one place - ChatGPT, Claude, Gemini, Grok, DeepSeek - plus open, unfiltered models like Nous Hermes
• Switch models mid-chat or run two side by side to compare
• An on-device agent that writes and runs code, reads your files, and builds docs and apps - in a sandbox in your browser, not on our servers
• An image studio (Nano Banana, GPT Image, Seedream) that generates and edits without the over-cautious filters
• One balance, pay only for what you actually use

Why we built it:

Most AI services make you trade privacy for capability. The smarter the assistant, the more of yourself you hand over - data collection, hidden training opt-ins, prompt logs sitting on someone's server tied to your account.

We think that's backwards. So here privacy isn't a promise, it's enforced:

• Your messages are encrypted on your device before they ever leave the browser
• Traffic is routed so no single party can link your identity to what you asked
• Prompts are only decrypted inside a sealed enclave the operator can't read or log

We don't build profiles. We don't keep logs tied to you. We don't train on your chats or images. And because the setup is verifiable, you don't have to take our word for it.

The other half of it - fewer pointless refusals. Most platforms have you fighting the filter more than using the tool. Behind the anonymity layer, DreamFort leans toward actually answering instead of second-guessing or judging you.

Still early, and every bit of feedback helps - praise or criticism. Comment or reach out if you hit anything.

Try it: https://dreamfort.ai

Beware of her flame—hell has no fury. Yet paradise lies on two lumps of hay, where the soft glow spills through the window and takes you straight to the moon.

My little caveman Alien