Aakash Gupta Profile picture
Jun 5, 2023 14 tweets 4 min read Read on X
🚨 BREAKING: Apple released its new headset, Vision Pro.

The 12 things you need to know 👇

#WWDC23
1. It's the first Apple product you look through and not at.

It's Augmented Reality (AR) + Virtual Reality (VR).
2. It's the beginning of spatial computing.

The interface looks and feels truly present in your room. They respond dynamically to light and cast shadows.
3. It relies solely on your eyes, hands and voice.

There's no controller. You browse the system simply by looking.
4. You can get fully immersed.

If you want, you can go to full virtual reality (VR).
5. It's supported by major apps at work.

Notes, Keynote, Safari, and Messages are all customized for Vision Pro. Imagine replacing all your monitors with this.
6. It's built for multi-tasking.

People can continue working with you while you're on Vision Pro.
7. It integrates with keyboard and mouse.

So you can keep writing and doing other work tasks.
8. It's great for working remote and traveling.

Who minds if you have a headset on at home?
9. You can create a cinema environment.

You can turn any room into your own personal movie theater. Even on an airplane.
10. You can watch 3D movies.

It feels like you're looking right into the movie itself.
11. It does have game controller support.

You can use your PS5 controller if that's to play AAA games like NBA 2K.
12. It authenticates you with Optic ID

It uses the image on your Iris to make sure it's you.
I'll let Tim sign us off:

This is just the beginning.

(But it will cost you $3499.)

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More from @aakashg0

Jul 29
If I had to learn AI PM again, I would start here:

($2,000 course totally free) Image
1️⃣ AI PM Foundations

@marilynika: How to become an AI PM - youtube.com/watch?v=GQd54g…

Sam Kawsarani: 15+ Years PM in Era of AI - tinyurl.com/2txs9mab

@_amankhan: Prototyping → Observability → Evals - youtube.com/watch?v=Ej4pBD…
2️⃣ AI Strategy

@tomocchino: Behind v0 (Top AI Prototyping Tool) - open.spotify.com/episode/2wAfwJ…

Scott Jones: 21 Harsh Truths about PM in AI - tinyurl.com/8zcw26rs

@PawelHuryn: AI basics to expert - youtube.com/watch?v=IfW1FM…
Read 10 tweets
Jul 23
You want to code with AI.

But you don't know what tool to use.

Here's your guide on when to use which AI coding tools:

(+ free resources to learn each) Image
1: Cursor

They surpassed $500M ARR for a reason. Your developer probably uses it. It's great for pros - but it's also great for non-technical folks now, as its agent can build things just via natural language.

Free guide:
2: Windsurf

Despite losing most of its technical staff to Google, Windsurf still exists. Now a part of Cognition (makers of Devin), it's great for non-technical people to deal with large code bases.

Free tutorial:
Read 10 tweets
Jul 17
There's a new PM interview in town.

But most PMs don't know it yet.

Last week, a PM messaged me in panic:

"I just got destroyed in a Google interview. They wanted me to prototype something with AI tools. I'd never even heard of 'vibe coding' before."

Here's what happening:
This isn't isolated. I'm coaching more PMs who are blindsided by this new interview format every week.

Here's what's happening behind the scenes:

The nature of the PM role is undergoing its biggest shift in years.

We're now moving to the era of AI PMs.
Companies are looking for PMs who can:

1. Build AI features (understanding evals & tech details)
2. Use AI to focus on high-leverage tasks
3. Prototype with AI tools like pros

And their interviews are changing to match.

At Google, this is only in India (for now).
Read 7 tweets
Jul 16
>50% of PM interviews now ask metrics questions.

But not all metrics questions are the same.

5 categories + 16 sub-categories to know: Image
𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗠𝗲𝘁𝗿𝗶𝗰𝘀 (𝟮𝟭% 𝗼𝗳 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀)

Three major flavors here:

Product launch success: Measuring launching GPT-5.

Feature success: Measuring a mobile payment feature.

Business model success: What would you look at if we launched a marketplace?
𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰𝘀 (𝟮𝟮% 𝗼𝗳 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀)

Investigating issues when metrics drop.

Sudden drops: IG Stories dropped 5% overnight. Approach?

Gradual declines: Monthly retention declining 6 mos. Why?

Unexpected changes: Feature 30% → 60% engagement. WDYD?
Read 7 tweets
Jul 14
Context engineering is the new prompt engineering.

Here's everything you need to know: Image
1. Etymology

It's unclear who coined the term, but two folks have been particularly important in its rise:

Andrej Karpathy and Dex Horthy.
2. What It Is

It's all about thinking beyond the prompt - thinking about ALL of the tools you have to drive success.

5 are the most important to understand:

a. RAG
b. Memory
c. State/ History
d. Prompt Engineering
e. Structured Outputs
Read 8 tweets
Jul 11
Which is it: use LLMs to improve the prompt, or is that over-engineering?

By now, we've all seen a 1000 conflicting prompt guides.

So, I wanted to understand:

• What do actual studies say?
• What do experts at OpenAI, Anthropic, & Google say?

Here are the answers: Image
I spent the past month in Google Scholar, figuring it out.

I firmed up the learnings with Miqdad Jaffer at OpenAI.

Some of my favorite takeaways from the research:
1. It's not just revenue, but cost

You have to realize that APIs charge by number of input and output tokens.

An engineered prompt can deliver the same quality with 76% cost reduction.

We're talking $3,000 daily vs $706 daily for 100k calls.
Read 10 tweets

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