Aakash Gupta Profile picture
Apr 24, 2023 11 tweets 5 min read Read on X
#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 🤯

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More from @aakashg0

Nov 8
Senior AI PMs make $306K (US). Big tech pays $550K+

I analyzed 250 AI PM job postings.

Here's what hiring managers want: Image
1. AI Product Strategy & Lifecycle (94%)

Define product vision, strategy & roadmap for AI/ML features from 0→1 through scale:

• Quality Envelopes → Define accuracy thresholds
• Cascade Architecture → Right-size models
• SUQS Framework → Track success pillars
• Evals-First → Define success first
🔗 AI Product Strategy → news.aakashg.com/p/ai-product-s…
🔗 AI Prototype to Production → news.aakashg.com/p/ai-prototype…
🔗 AI Roadmaps → news.aakashg.com/p/ai-roadmap
🔗 AI Product Sense → news.aakashg.com/p/ai-product-s…
🔗 How to Build AI → news.aakashg.com/p/how-to-build…
Read 9 tweets
Oct 29
DUOLINGO COULDN'T TEACH ME HEBREW IN 2 YEARS

ChatGPT did it in just 3 months.

Here's the exact 8 Prompts I used:
1. Adaptive Daily Lesson Builder

"You're my personal Hebrew tutor. Build me a 20-minute lesson for today based on my current level [beginner/intermediate/advanced]. Include: 10 new vocabulary words with context, 1 key grammar concept with 3 examples, and 5 practice sentences I should translate. End with tomorrow's preview."
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"Let's have a 10-minute conversation in Hebrew about [topic: weekend plans/work/hobbies]. Start each response in Hebrew, then add English corrections below using this format: '❌ You said X → ✅ Say Y (because Z)'. Adjust your Hebrew complexity to match my responses."
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Oct 26
In product management, not everything is straight forward maths, or solvable by AI.

Yet, some PMs still make better decisions most of the time.

How?

That's product sense: Image
"The ability to find the right solution for the user and business, despite limited and ambiguous information."

I love this definition from @Sid Arora.
You start with the PM process:

1. Take a vague & ambiguous problem statement
2. Create, or clarify the overall goal
3. Identify all users in ecosystem
4. Pick 1-2 users
5. Identify major problems of the user
6. Select the problems to solve
7. Brainstorm for solutions
8. Select the highest ROI solution
9. Build and deploy the solution
10. Measure success / collect feedback
Read 12 tweets
Oct 22
You should vibe code a PM portoflio.

Only 17% of PMs have a portfolio.

So you should differentiate with one.

Here's how: Image
1. Headline

This is the most important part! You want to describe your unicorn candidate-market fit. This is your opportunity to make a bumpy career look like a straight line to a sector of the market.
2. Navigation

The beauty of a website is you can add layers. Add in followup pages to deep dive into your experience. Link them. Add in blog & podcast appearances too.
Read 12 tweets
Oct 21
ChatGPT is just the tip of the iceberg.

PMs should use 10 buckets of AI tools: Image
DISCOVERY

1. Prototyping
Yes, this is an amazing PM use case.

Tools like Lovable, Bolt, v0, Magic Patterns, and Base44 are great for improving your discovery work.

🔗 Guide: news.aakashg.com/p/ai-prototypi…
2. Customer Intelligence
These aggregate customer insight everywhere.

Tools like Dovetail, Enterpret, Unwrap, Monterey, and Sprig make knowing your customer easier.

🔗 Guide: news.aakashg.com/p/ai-customer-…
Read 12 tweets
Oct 15
Product discovery is the no. 1 skill for PMs.

Here's how to use AI to 10x your discovery: Image
𝗦𝗧𝗘𝗣 𝟭: 𝗔𝗜 𝗠𝗮𝗿𝗸𝗲𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲

Market analysis used to be a lengthy, research-heavy process that often required access to paid reports.

Now, replace that with:

a. Market sizing by Perplexity
b. Validation with 3 expert calls
c. Synthesizing sources with NotebookLMImage
𝗦𝗧𝗘𝗣 𝟮: 𝗔𝗜 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲

Build an AI customer intelligence system like that provided by tools like @hiDovetail.

These aggregate all your:

• 1000s of support calls
• 100s of app reviews
• 100s of sales calls
• 10s of interviews

AI customer intelligence tools are as important as AI prototyping tools. Deep dive: news.aakashg.com/p/ai-customer-…Image
Read 9 tweets

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