Vikram Kushwaha

Sharing AI Tools That Actually Make You More Productive | 200K+ Network | Prompts • Automation • Tech News | Software Dev | Founder | 📩 Collabs: vikramp7470@em

[Vikram Kushwaha @Vikram_AI_]

Most AI image tools follow prompts.
Uni-1 understands intent.

This changes everything.

No more overthinking prompts.
No more trial & error loops.

→ It plans
→ It reasons
→ It generates

From idea → execution in one flow.

Not a better image model.
A mind with an eye.

Made with Uni-1 by @LumaLabsAI

#AI #GenerativeAI #LumaAI #Uni1 #AICreators #FutureOfAI

[Vikram Kushwaha @Vikram_AI_]

Jensen Huang said something that really caught my attention:

“Every engineer is going to have and manage hundreds of agents.”

Hundreds.

That changes what being an engineer actually means.

Writing code will still matter, but knowing how to build, coordinate, debug and manage AI agents could become just as important.

The engineers who learn this early may have a serious advantage.

Follow @Vikram_AI_ for more

[Vikram Kushwaha @Vikram_AI_]

@Laxmipatelrd2m Awesome!

[Vikram Kushwaha @Vikram_AI_]

Got 2 hours today?

Put them into learning AI.

This full Claude course covers building AI agents, automation, and practical workflows. you could finish it tonight and wake up with a skill you can actually use.

[Vikram Kushwaha @Vikram_AI_]

@ElizabethAI_1 Thank you for the kind words and encouragement🙌

[Vikram Kushwaha @Vikram_AI_]

@me_zifan Hope you find it useful.

[Vikram Kushwaha @Vikram_AI_]

@maxpostingx appreciate it, Glad the breakdown resonated

[Vikram Kushwaha @Vikram_AI_]

Stay focused.🫡

- Tim cook

[Vikram Kushwaha @Vikram_AI_]

@VipulKewatTech Exactly vipul.. thanks for shairng 🙌

[Vikram Kushwaha @Vikram_AI_]

50 years of teaching at MIT.

Then, knowing his time was running out, he recorded one final lecture.

One hour.

Everything he knew, distilled into a single lesson.

He passed away just 5 months later.

That lecture might be the most valuable hour you watch this week.

Save it. Watch it when you have an uninterrupted hour.

What’s one lecture that genuinely changed the way you think?

[Vikram Kushwaha @Vikram_AI_]

This might be what the next generation of robots looks like.

Not a humanoid.

Not a robot dog.

Both.

This robot can switch between two legs and four legs depending on what it needs to do.

Walk around your home → 2 legs.
Climb stairs / stay stable → 4 legs.
Carry stuff → either.

And it can even follow you around and film you automatically.

The crazy part?

We're still at the beginning.

Imagine robots that can change their shape, swap tools, and adapt themselves to completely different jobs.

Follow for more @Vikram_AI_

That’s when robotics gets really interesting. 👀

[Vikram Kushwaha @Vikram_AI_]

3 years ago, AI couldn’t make Will Smith eat spaghetti without breaking reality. 😂

Now look at this.

Same idea.
Completely different level of AI video.

In 2023:
→ Weird hands
→ Melting faces
→ Broken physics

In 2026:
→ Realistic movement
→ Better facial expressions
→ Cinematic visuals
→ Much harder to tell what’s real

AI video didn’t just get better.
It got scary fast.

Imagine where this is 3 years from now. 👀

Will we even be able to tell AI from reality by then?

Follow @Vikram_AI_ for more

[Vikram Kushwaha @Vikram_AI_]

Hardware is impressive, but the software is where things could get really interesting. 🤖

Imagine one robot learning a new task and thousands of others getting that capability through an update.

Would you want a humanoid robot working alongside you?... Happy to hear😀

[Vikram Kushwaha @Vikram_AI_]

Humanoid robots are moving from sci-fi to reality.

What’s interesting isn’t just the robots themselves, but how quickly this technology is improving.

One software update could potentially improve an entire fleet of robots at once.

That could change how factories, warehouses, and other industries operate.

The hardware is getting better. The AI is getting smarter.

Now the real question is: what will we teach them to do?

Follow @Vikram_AI_ for more.

[Vikram Kushwaha @Vikram_AI_]

Ray Dalio explains wealth creation in 60 minutes.

No hype. No shortcuts. Just real lessons on money, debt, investing, and how the economy works.
Long-form learning > endless scrolling.

[Vikram Kushwaha @Vikram_AI_]

I genuinely thought this was an AI-generated car.

Turns out, it’s real.

Someone took a Fiat Panda and turned it into a tiny car that’s only about 50 cm wide.

And yes, it actually drives.

Built as a one-off project in Italy, the proportions are so ridiculous it looks like someone squeezed a normal car in Photoshop.

The wildest part?

Every detail is real.
The car is functional.
And someone actually drives this thing.

Reality is getting harder to tell from AI.

Follow @Vikram_AI_ for more 👀

[Vikram Kushwaha @Vikram_AI_]

AI isn’t just about asking better questions.

It’s about building better workflows around it.

This Stanford lecture breaks down how to get much more out of tools like ChatGPT and Claude.

Definitely worth watching if you want to use AI more effectively.

[Vikram Kushwaha @Vikram_AI_]

@tylereptgames Exactly,the real value comes when AI becomes part of the workflow, not just a tool you open for a quick answer.

[Vikram Kushwaha @Vikram_AI_]

AI in finance is becoming much more than just asking questions.

Anthropic’s Claude for Finance lecture shows how AI can help with financial research, data analysis, complex documents, and repeatable workflows.

The interesting part is seeing how AI can become part of the research process, not just another chat window.

I’ve attached the full lecture — worth checking out if you’re exploring AI in finance.

Follow me @Vikram_AI_ for more

[Vikram Kushwaha @Vikram_AI_]

Must watch... looks interesting

[Vikram Kushwaha @Vikram_AI_]

🚨 BREAKING: NVIDIA just made a huge move in open-source AI

And the timing is interesting.

Just days ago, reports emerged that Hugging Face was exploring a potential sale after receiving interest from buyers and bringing in a bank to evaluate possible offers.

Now, NVIDIA is reportedly stepping in.

Hugging Face has been growing quickly.

Its annualized revenue reportedly jumped from around $100M to more than $150M within a few months, while paying subscribers doubled in the first half of 2026.

The company has also said it is getting close to profitability.

But the real story may be the strategic fit.

Hugging Face has become one of the biggest hubs for open-source AI, with millions of developers using the platform to discover, share, fine-tune, and deploy models.

And much of that AI development ultimately requires one thing:

Compute.

That's where NVIDIA already has a massive advantage.

By acquiring Hugging Face, NVIDIA could get much closer to the developers and open-model ecosystem driving AI adoption.

It would also strengthen NVIDIA's position as major AI companies increasingly build their own chips and look for ways to reduce their dependence on NVIDIA.

If the deal closes, NVIDIA wouldn't just control the hardware powering AI.

It would also own one of the major platforms where developers discover and build the models that run on that hardware.

$12.9B suddenly looks like more than just an acquisition price.

Follow @Vikram_AI_ for more AI updates.