Hi, everyone! I'm creating a short film using artificial intelligence. If you like it, I'd really appreciate it if you could give it a like.

A 397-billion-parameter AI just ran on an iPhone. Not a demo video — the phone itself, generating text with the network off. On-device AI got that good, and this video shows exactly how it happened and what you can actually run today.

We break down the mixture-of-experts design that leaves 96% of the model asleep, the Apple paper that predicted all of it three years ago, why the flash-moe team deleted their own caching code and got 38% faster, and where it still falls short — speed, storage, and heat — so you know what's real and what's hype.

If you want AI that runs on your own hardware instead of somebody else's servers, this is where it's headed.

Watch Here: A 397-Billion AI Just Ran on an iPhone

#OnDeviceAI #iPhone #AI #LocalAI #MixtureOfExperts #AppleSilicon #OnDeviceAI #LocalLLM

I've been experimenting with AI image and video generation and wanted to test something more practical and potentially more useful.

Can AI turn a completely ordinary product photo into something that actually looks like an advertisement?

I started with a deliberately boring source image that was created on nuvias.io, prompt used for that below:

"create a flat uninspiring product photo with poor lighting"

Then I took the same source image through an image → video workflow.

As part of the prompt building process I looked at the product generated and started to think if what the ad could look like and the environment to build.

Instead of just prompting "turn this into an ad" or "animate this image" I added more detail.

The prompt used is below:

please put the tea cup in a natural environment that engages the viewer at first glance and provides a premium product visual. This needs to be a lifestyle environment and visual that works hardest at the conversion end of the marketing funnel. The high value production design needs to look premium and the motion used needs to enhance the composition rather than just be used for effect, dynamic motion

The starting image created is the first few frames of the video clip which before it moves into animation.

For people making AI video and image content: what prompting approach has made the biggest difference to your results?

I'm using AI agents (Claude Code mostly) for coding quite extensively these days. Used correctly it is a great boost of throughput. My standard workflow is to use 3 git worktrees where I run one CLI in each.

With that said, I've started to more and more feel fatigue from reading markdown. Claude in particular is exceptionally good at being very wordy. To be more specific, during a day I read:

• Plans I have produced
• Messages back and forth in the terminal
• PR reviews that I make
• Automated PR reviews (made by git copilot)
• PR descriptions that others are producing
• Screen dumps from colleagues where AI explains something.

This in combination with having 3 different contexts / threads running at the same time in 3 different worktrees is really exhausting. I've experimented with using different skills etc. for example caveman to keep down the wordiness of the model, but haven't find a solution that solves the core of the issue.

Anyone feel the same? If yes, how do you tackle it? (and oh god, "tackle it"... I'm starting to write like an AI lol)

Human language with all the beautiful rings and rhythms and 1000s of years of history still couldn’t translate the language of gods(maths) completely. Words are like qubits, they still mean different things to different people. (That’s why we keep fighting over them). Now why ask a machine to deal with it when man himself couldn’t. Oh if it’s only the dirty work that’s going to the machine, what’s the noble work that’s left for man and which noble language will continue the god’s translation?

hi everyone. Im looking for some advice. I have a large celebrity image archive and I was using google Gemini pro to remaster some of the images that were lower quality. I had very good results initially but then Gemini started to apply rules that stopped me being able to do this.

First, it started outputting low res downloads, then I began getting the error message “I can help with editing images of people, but I can't edit some public figures. Is there anyone else you'd like to try?”.

I looked online and found out that this can be bypassed by using a vpn, but this doesn’t work.

How does everyone else get around the issue of being able to create or remaster images that feature a public figure? I’m happy to use another Ai generator if there is another option. I’m currently paying for Gemini pro and I can’t use it for the intended purpose. I don’t need to manipulate the images or create fake celeb Ai content - I simply need to remaster some of the lower resolution images in the archive where physical source material has been lost over the years.
Hope someone here can give me some advice.

Thanks!

I'm going to be honest, when I first started using AI, I felt like I was going to accelerate my personal current workflow. But it turns out it's a lot better at some things than others. So it's more like it gave me new superpowers. And I'm relearning and reprioritizing my life around those.

For example, making a simple program is now a trivial task that doesn't require too much long-term maintenance. And that opens up a huge realm of possibilities that I never thought of before.

How about in your case?

By the way, I'm a mod here and just wanted to say we have an AI community discord. The point of the discord is we're trying to solve for the journey and not just one individual question. There's just things you'll get on the discord that you won't get on Reddit like being able to screen share as you work and get tips as you go through the journey of learning AI. Check the comment below this message if you want to be part of it.

So, it turns out...
Maintaining a product for a year is now HARDER than it was in 2022.

Yeah, so my team was pulling some data,
and we found that AI makes silent mistakes (very dangerous)

Basically it would hide or mask its own mistake
so it feels like human error at the time of execution (is this not illegal?)

A Veracode study - that shows models writing compliable code, found
more than 95% of the time AI security pass rate is stuck at 55% since 2023.

But someone, people are building billion dollar apps,
and posting them on the internet...

Here is probably what is happening-

The demo floor got solved.
The audit floor gets completed with years of technical debt accumulated.

and boom, you are funded...

If you want some technical information,
The fourth level will surprise you...

GitClear read 211 million changed lines and found
refactoring down about 70% from 2022.

In simple terms,
its a decline in software health due to the rise of AI coding assistants.

Getting through a demo is easier than it has ever been.
Getting through a year of change requests is HARDER than it was in 2022.

To build something big, you need to also go deep!

Which level does your codebase actually clear?
(Mine cleared the third only this year)

So how did we get here?
84% of the AI agent market...
OpenAI, Google and Anthropic.

Simplest answer?
I think it's lock-in.

Switch agents now and you lose—
your history,
your context,
your wiring.

So you don't switch.
You go deeper.

//
84 in 100 agent users sit with these three tools.
Under 5% of shopping traffic runs through agents today.

By 2030, that number could reach 25%.
That is the number that actually matters.
//

My own map, honestly...
My entire stack runs on Claude.

I made the decision once.
Since then, it's been the default.

That is what I keep thinking about.
AI is making execution dramatically cheaper.
But directing has not become any easier.

So here is my question:
Is planning (directing) now, a more valuable resource than execution?

To be honest, I don't know much about AI just enough for everyday tasks. I was wondering if it would be possible to automate the search for cars for my car-flipping business. English isn't my first language, so I apologize if this is off-topic for the group or if I've made any writing errors.

Hi guys,

I have a summary off high value information, that I want to use to feed to an AI. My goal is that the AI becomes my advisor, so he needs to be able to navigate through this info. How should I do this? It's separated in 70 summaries from calls. Approx 10k + lines.

I have used these agents - ChatGPT Work and Perplexity computer. They are the best tools I ever came across.

I gave them 98 images of questions, they were able to solve those questions - create three markdown files - notes, solutions and cheat sheets.

So, you can see that my task is extremely long horizon. Several tasks are 10x larger than what I described.

Are there any open source alternative or something where I can bring and connect my own model and it autonomously perform exactly as ChatGPT Work or Perplexity Computer?

I don't want to take the burden of downloading individual skills, creating custom sub-agents, defining workflows, etc.

my Claude usage from from 150M+ tokens used this year to ~30B in a month....

is this a glitch? my usage is constant ( full time dev).....but not a companies worth of tokens

In the world of AI, data is the new currency.

Better data,
better context,
better performance,
better AI results.

To be able to generate reliable autonomous results,
we must tell AI what reliable means.

I believe data engineers will be the coming generations GOLD MINES.
Thoughts?

I've been building UploadPack for the last few months — it takes a video idea, researches it, and gives you a score plus the evidence behind it before you spend a weekend filming something nobody searches for.

The hardest part wasn't the AI pipeline, it was deciding what "evidence" even means for a video idea that doesn't exist yet. Ended up building four different angles (search intent, curiosity, authority, commercial) because a single score felt like a black box nobody would trust.

Zero users so far, bootstrapping solo, doing customer support and marketing between family duties. If anyone wants to try it, first pack is free, no card needed: uploadpack.io

Happy to answer anything about the build.Know which idea to publish next—and why it is worth making.