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Aakash Gupta Profile picture
@aakashg0
Apr 30, 2023 • 20 tweets • 9 min read • Read on X
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The last 45 days have been the biggest ever in AI.

All of this happened:

GPT-4
Auto-GPT
Midjourney v5
Runway #Gen2
Viral Drake Songs
ChatGPT in Robots

Here are the key takeaways from a crazy month and a half in AI 🧵
March 14: GPT-4

We were already collectively losing our minds over GPT-3.5. Then, GPT-4 dropped 🤯

@skirano created pong the very same day.

March 15: Midjourney v5

After having our minds blown by GPT-4's code and text, the very next day @midjourney v5 dropped.

The photorealism was unreal from the get-go. @DotCSV created the iconic sad Darth Vader drinking a Coke. Image
@juliewdesign_ showed us its full power a few days later.

March 20: Runway Gen2

After having our minds blown by text and image, video was next.

@runwayml released the next generation of its excellent text-to-video model.

@ChristianF369 showed us just how powerful the tool can be.

March 30: AutoGPT

We thought there wasn’t going to be another modality to wow us until AutoGPT dropped.

It uses GPT to write itself tasks.

And days later @SigGravitas added code execution.

Autonomous AI became a reality.

April 4: Heart on My Sleeve Released

After text, code, image, and video, what was left? Audio!

We completed the circle on all forms of creative media when TikTok user ghostwriter977 spawned the viral song of the year.

And then he did it again with a Bad Bunny x Rihanna drop.

The music labels have been reporting videos 24 hours a day to take them down.

April 17: DINOv2

We didn't just see advancements in generative AI. We also saw advancements in computer vision.

Meta released mind-blowing transformers to identify moving objects.

April 20: WebGPT

19-year-old genius @willdepue released a way to run chatGPT natively in your browser.

@SullyOmarr explained how this tech opens up the door for a massive play by Apple.
April 25: GPT Robots

Just when we thought the innovation had to slow down, Boston Dynamics put ChatGPT into their robot dog Spot.

Compelling AI in our homes looks closer than ever.

Bonus: #NeRFs took off

Although not released in the last month and a half, #NeRFs powered by @LumaLabsAI did take off.

Artists like @karenxcheng showed us just how powerful the tech is.

I thought we just needed to take a step back in and look at it all.

We are in a Cambrian explosion of AI advancement.

Language
Imagery
Music
Video
Code

Everything's moving at exponential speed - and accelerating.

What a time to be alive.
Want to go the layer deeper - The Midjourney story? The Runway story?

Check out the newsletter:

aakashg.com/subscribe-emai…
This thread took half of my Saturday to write.

If you enjoyed, follow me for regular updates: @aakashg0

And retweet the first tweet for others to see:

Here's all of that in an image: Image

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More from @aakashg0

Aakash Gupta Profile picture
May 2
The product leadership job search is completely unlike the IC PM search.

Here's what you need to know:

(That most people don't) Image
My collaborator (and 3x Sr Dir of Product) @xolin and I talked to:

• 7 external executive recruiters
• 2 internal big tech executive recruiters
• 2 VC talent teams
• And 10 CPOs and VPs

To learn these 5 things:
1. Less and less jobs get listed

At the Group PM and Principal PM level, 90%+ of jobs are still listed on job boards.

But as you move up, those numbers drop considerably:

• 50-70% of (Sr) Director and Head Of roles
• 20-50% of SVP and VP roles
• <20% of top exec roles
Read 10 tweets
Aakash Gupta Profile picture
Apr 18
2 rules govern how much you can make:

Stage and success of company

Let me explain 🧵 Image
Factor 1 - Where You Work

At bigger companies, the same title earns a lot more. Take VPs:

• $10M rev/ Series A: TC $675K
• $100M rev/ Series E: TC: $750K
• $500M rev/ Series E: TC $750K
• $1B rev/ Small-Mid Cap: TC $950K
• $100B rev/ FAANG-like: TC > $2.15M
And there's a huge difference in how liquid the earnings are at these companies.

For most private companies, liquidity events are rare and capped.

Moreover, the outcomes are highly bi-modal: the equity could go to 1, or could be a multiple. It's hardly a certain thing.
Read 9 tweets
Aakash Gupta Profile picture
Mar 29
Remember the days of unlimited music skips on Spotify's free tier?

I bet you didn't know removing it increased paid subscribers 25%.

Here's the story: Image
Unlimited skips on the free plan was a golden age for music lovers.

But, for Spotify, they were losing money on each of those customers.

They needed them to upgrade.
So in 2014, Spotify limited skips on the free tier to six per hour.

The headlines were

• "Spotify’s free tier just got worse"
• "I’m quitting Spotify"
Read 6 tweets
Aakash Gupta Profile picture
Mar 27
I researched the pricing models of 50 leading consumer software companies.

These are my top 4 takeaways: Image
1 — Subscriptions have come to every industry

In every industry, it's worth considering if a subscription makes sense for you.

Recurring revenue, stable cash flow, and higher LTV are all potential prizes.

But, consumers might be annoyed.
2 — Subscriptions aren't the only game in town

Yes, subscription or “subscription-like” pricing is 56% of this list.

But options like one-time fee, ad-supported, and transaction-based also appear.

And consumers often prefer them.
Read 6 tweets
Aakash Gupta Profile picture
Mar 25
Companies kill their own messaging over time.

4 bad habits seep in as they grow.

Here's the breakdown: Image
@apierriPMM Bad Habit 1 - Speaking to multiple audiences at once

In the world of growth-focused companies, prioritization can be seen as weak.

But instead of effectively speaking to multiple audiences at once, you end up speaking to none.

In messaging, you must prioritize.
Bad Habit 2 — Choosing the Wrong Champion

Most commonly, people aim too senior. This has 2 problems:

1. There are exponentially fewer CEOs than VPs, directors, & managers
2. CEOs aren’t buying software

(There is one exception: if you’re targeting a small business.)
Read 7 tweets
Aakash Gupta Profile picture
Mar 9
You know ChatGPT. But you don't know the history of AI.

Here's the key events you need to know: Image
1956 -- Dartmouth Conference:

• Academics gathered at Dartmouth. They used the term AI for the first time
• The idea was to build a machine that mimicked human reasoning
• The first model was created
1958 -- Perceptron:

• Frank Rosenblatt's released the very first neural network, called Perceptron
• It was a single layer, but laid the foundation for architectures to come
• It was an early model of supervised learning
Read 15 tweets

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