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Aakash Gupta Profile picture
@aakashg0
Apr 24, 2023 • 11 tweets • 5 min read • Read on X
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#NeRFs are the new big thing in AI.

This ad was produced by a single person: no $1M budget, no drone, no massive film and editing crew.

It's all thanks to NeRFs.

Read on if you want to stay ahead:

Arata Fukoe, a young tech artist in Japan, created the above and below with his GoPro and @LumaLabsAI NeRF technology.

In this thread, we’ll cover:

• What are NeRFs
• LumaLabs Tech
• Impact 1: Advertising
• Impact 2: Gaming
• Impact 3: Film

What Are NeRFs?

NeRFs use deep learning AI to study a picture.

Then they use rendering to create NEW views of the scene.

You can even create 3D representations of an object from 2D images!

This gives you a drone effect without the drone:

LumaLabs Tech

LumaLabsAI allows you to easily render a 3D model from your 2D picture on your iPhone.

Then you can record the video as you pan the scene to create those amazing effects:

Impact 1: Advertising

This type of technology is going to put an end to $1M budgets for TV ads.

A single tech artist will be to put together something TV-worthy.

How amazing would it be to see this ad for a Nerf ball?

Or this ad for McDonald’s?

There could be an entire generation of direct-to-consumer brands that spawn off this technology.

Check the potential for this hair-clipper brand:

Impact 2: Gaming

LumaLabs' tech allows you to export your NeRF 3-D models to game engines like Unreal Engine.

You could go from picture → 3-D model → to Fortnite in a few hours.

This will vastly decrease asset creation time in games.

Impact 3: Film

The implications for films like The Matrix and Mission Impossible are obvious.

But in general, this tech could allow for much cooler angles and shots even for dramas and other types of film:

#NeRFs are set to change the trajectory of the advertising, gaming, and film industries.

If you're still not convinced, just look at this zoom effect 🤯

Want to stay up to date on all the trends in AI that matter?

Subscribe to the newsletter👇

aakashg.com/subscribe-emai…

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More from @aakashg0

Aakash Gupta Profile picture
Feb 24
I've seen my fair share of product development processes.

JPD's approach stands out as particularly principled and well thought out.

Here are the five most important things about how they build product: Image
𝗙𝗮𝗰𝗲𝘁 𝗢𝗻𝗲 - 𝗧𝗵𝗲 𝗟𝗶𝗴𝗵𝘁𝗵𝗼𝘂𝘀𝗲 𝗣𝗵𝗶𝗹𝗼𝘀𝗼𝗽𝗵𝘆

As Catalin Bridinel, Head of Design, explains:

"The product is a ship, and the user is a lighthouse that gives you direction."

This is more than a cute metaphor - it's a fundamental operating principle.
It manifested, for instance, in the early access program stages:

Step 1 - Deep dive with 10 carefully selected customers
Step 2 - Expand to 100 customers for broader validation
Step 3 - Then 1000 and GA

And it does in a million little other ways.
Read 13 tweets
Aakash Gupta Profile picture
Feb 14
Most people are still prompting wrong.

I've found this framework, which was even shared by OpenAI President Greg Brockman.

Here’s how it works: Image
𝗧𝗵𝗲 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴

4 words in lowercase doesn’t work.

If you want to write a PRD, or a product strategy, or something for work, you have to help the LLM get your context.

This is done in 4 parts.
𝗢𝗻𝗲 - 𝗚𝗼𝗮𝗹

LLMs know millions of ways to complete a task.

Clear goal language helps them narrow in on the way you want them to.

EG: “I want to create a Google-level Product Requirements Document for: <Feature>”
Read 9 tweets
Aakash Gupta Profile picture
Jan 26
We’ve been sold a million use cases for PMs to use AI.

For my money, here are the top 5: Image
AI won’t replace PMs.

But PMs who use AI will replace PMs who don’t.

You don’t even need to learn coding to join the AI revolution.

There’s one archetype taking over in organizations right now: the AI-powered PM.

Here are the top 5 ways AI-powered PMs are changing the game: Image
USE CASE ONE - PRDs

Last month, I shadowed a PM at a FAANG company.

Their first AI prompt? Beautiful but completely wrong.

So how you use it matter more than just using it to write PRDs.

Here’s the game-changing mega-prompt that fixed it:
Read 13 tweets
Aakash Gupta Profile picture
Dec 31, 2024
Used right, OKRs can be the most powerful product process.

But most orgs completely mess them up.

From driving empowerment to becoming tools for control…

Here’s what you need to know about when to add or remove OKRs: Image
𝗧𝗵𝗲 𝗗𝗲𝗯𝗮𝘁𝗲 𝗔𝗿𝗼𝘂𝗻𝗱 𝗢𝗞𝗥𝘀: 𝗔 𝗗𝗲𝗲𝗽𝗲𝗿 𝗧𝗿𝘂𝘁𝗵 𝗔𝗯𝗼𝘂𝘁 𝗔𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁

The conversation around OKRs reveals a fundamental truth:

Alignment mechanisms aren’t one-size-fits-all.

Take Ramp, for example.

They built a $10B company without OKRs.
Their secret?

→ Exceptional product sense.

→ Metrics so clear that every team understood what success looked like without needing a formal framework.

Now look at Google.
Read 14 tweets
Aakash Gupta Profile picture
Dec 29, 2024
If you want to move from a PM to a product leader, there’s one skill you absolutely need to master:

Product processes.

Here are the 12 most essential ones to drive impact, speed, and quality: Image
𝗢𝗡𝗘 - 𝗢𝗞𝗥𝘀

→ When to Add: When your team is growing fast, shifting priorities, or you need a system to track progress across teams.

→ When to Drop: If OKRs become a never-ending admin task and feel disconnected from day-to-day work, it’s time to simplify.
𝗧𝗪𝗢 - 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗥𝗲𝘃𝗶𝗲𝘄𝘀

→ When to Introduce: Use them to coach junior PMs or align teams during fast-paced iterations.

→ When to Cut Back: If Product Reviews start stifling creativity or become a micromanagement, it’s time to rethink.
Read 14 tweets
Aakash Gupta Profile picture
Dec 20, 2024
One thing that will remain the same in the 2025 job landscape:

Hiring managers will still ask, "Why this company?"

Nail it, and you’re halfway to landing your dream role.

Here’s how to master this: Image
Over the years, I’ve worked with countless aspiring and senior PMs.

99% of them give a 4/10 answer.

Here’s where they go wrong:

1. Generic fluff → They rattle off buzzwords like “innovative culture” or “market leader.” It’s uninspired.
2. No connection → They talk about the company, but not how they fit into the picture.

3. Vague details → It’s clear they didn’t research. No examples, no depth. Just surface-level compliments.

4. Lack of energy → The delivery feels more like a verbal LinkedIn endorsement.
Read 14 tweets

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