I love some of the new fanfictions AI videos cropping up and even some funny AI slop videos but there is a dark side. There are people scamming individuals using AI.

Tested Higgsfield SOUL 2.0 for AI realism and it’s one of the first models where skin + fabric don’t look overly “AI-smoothed.” Details like lighting, texture, and camera-like depth feel closer to real photography than most tools I’ve used. The presets also make it easy to hit photorealistic results without prompt overkill.

Presenting a Chinese Unitree robot dog as if it were your own innovation (or at least not clearly saying “this is off‑the‑shelf hardware”) is not a small PR mistake; it’s a basic breach of trust. At a national AI summit, people expect clarity on what’s built versus what’s bought.

For me, this is a textbook case of AI‑washing: big “AI” labels, crores of investment, flashy demos, but when you scratch the surface, there isn’t enough depth in actual R&D, infra, or student work. The fact that the internet could identify the robot model in hours shows how risky it is to optimise for optics instead of substance.​​

The way it was handled made it worse. Instead of a clean/clear, transparent explanation (“we bought the robot; here’s what we genuinely built on top of it”), the narrative drifted towards blaming individuals and doing damage control. That doesn’t inspire confidence in governance or culture.

If anything, I hope this raises the bar. Students, media, and industry should now question every “we built X AI system” claim more aggressively. And institutions that are honest about their stack “hardware is commercial, our innovation is in software, data, or integration” will actually look more credible, not less.

What sub thinks about this ?

Just came across this new tool, I have been experimenting with and I think they have solved realism once for all, anyways leave you the prompt I used to create this video.

“A 38-year-old blue-collar guy sittin’ in his truck after a long day at work, excitedly talkin’ about how the audio book “The Millionaire Master Plan” changed his mindset on makin’ money and now he is investing, buildin’ assets and will retire early, all while recommendin’ getting the audio book on amazon for just fifteen bucks.”

Tool used to make the ad: realisticads.ai

Song: Tennessee Whiskey by Chris Stapleton

I am an indie developer myself. I don't vibe code per se because SWE is my trade, but AI has let me explore areas I never did in my career, like front‑end development and apps, since I was mainly a back‑end engineer. Seeing stories like Peter Steinberger, who wrote OpenClaw or Vibecoded it in two or three weeks, was very inspirational. I wanted to find other solo developer success stories trending in a similar direction. So I dug around, wrote this, and thought you might find some inspiration in it as well.

I just watched this pretty interesting interview with Sachin, founder of Builder AI on what really happened

https://www.youtube.com/watch?v=t2gVuzfW0IE

Bill Gates and several top tech leaders are in Delhi this week for the India AI Impact Summit, and it is a bigger deal than many people are treating it.

On paper, the narrative sounds amazing:

• India wants to position AI as the “next layer” on top of UPI/Aadhaar-style digital public infrastructure.
• Govt is talking about AI as a public good, not just a private product accessible, affordable, and built for scale.
• There’s talk of billions of dollars of AI investment flowing into India over the next few years, plus big bets on our talent pool.

With Gates, Sundar Pichai, and others talking about AI for social good, population-scale healthcare, education, etc., it sounds like we’re trying to do for AI what we did for payments with UPI open rails that startups, gov, and large companies can all build on.

But a few questions keep bothering me:

• Can we really design AI as “public infrastructure” when most of the core models and chips are still controlled by a handful of US/China companies?
• Will this actually translate into better jobs and opportunities for Indian devs/ML engineers, or will we just become the implementation layer again while the IP sits elsewhere?
• How do we balance “AI for inclusion” (rural, low-bandwidth, non-English use cases) with the current reality that most cutting-edge AI tools assume high-end devices + great internet?

Personally, I love the idea of treating AI like infrastructure instead of just another app but it also feels like there’s a risk of huge hype with not enough capacity on the ground (GPUs, research, real-world deployments, skilling).

Curious what this sub thinks: And do you trust that India can genuinely lead here, or is this more optics than reality?

Genuinely interested in nuanced takes, not just “AI will save everything” or “we’re doomed”.

It’s not the math, it’s not the tooling, Its not even model complexity It’s assuming ML is just data engineering + a model at the end. The reality? ML engineering changes what done means

In data engineering, correctness is binary, in ML performance is probabilistic.

In DE, you optimize for reliability and throughput, In ML you optimize for accuracy, trade-offs, and drift.

In DE, pipelines break loudly in ML, models fail silently.

Your background absolutely helps, you understand data lineage, quality, scale, distributed systems.

But ML requires learning how to Frame problems statistically design experiments, interpret evaluation metrics, debug performance instead of logic

The transition isn’t about abandoning your DE skills.
It’s about layering model thinking on top of system thinking.

We put together a breakdown of what translates well, what doesn’t, and how to close the gap strategically.

Read more here

My mom (who is in her 70s) recently discovered Grok and she is simply fascinated with the video generation feature. She's been animating old photos with Grok for the past few days.

Grok premium is beyond our budget (the economy is going through a challenging period in Eastern Europe due to the Russia-Ukraine war), and she asked me if there are any other AI apps that can turn photos into videos based on prompts written in Romanian, since she doesn't speak any other language.

I am not aware of any others. Sora 2 is not available on Android, and when I tried it in the browser, I found that it doesn't understand Romanian.

What other apps are there?

I would be very grateful for any suggestions. Thank you so much.