Aakash Gupta Profile picture
Apr 30, 2023 20 tweets 9 min read Read on X
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?

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More from @aakashg0

Dec 15
How do the best product teams ship better and faster without things breaking?

They embed quality into every step of the development process.

Here’s how you can do the same: Image
𝗙𝗶𝘃𝗲 𝗖𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗖𝗵𝗲𝗰𝗸𝗽𝗼𝗶𝗻𝘁𝘀

𝗢𝗡𝗘 - 𝗕𝗲𝗳𝗼𝗿𝗲 𝗙𝗶𝗻𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀

→ When: Right after you’ve done your research and before locking down specs.
→ Why it matters: This is your chance to clarify any confusion, resolve technical risks, and ensure alignment before things snowball.

→ Win: Fewer mid-sprint surprises and last-minute changes.
Read 14 tweets
Nov 7
PMs, you can add at least $50k to your salary by becoming an AI PM.

However, many people miss the mark, making the same mistakes over and over again.

Here are the 7 mistakes to avoid if you want to secure your dream AI role: Image
𝗠𝗶𝘀𝘁𝗮𝗸𝗲 #𝟭: 𝗧𝗵𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗼𝗿’𝘀 𝗖𝘂𝗿𝘀𝗲

→ Collecting certificates may feel productive, but it’s often just an illusion of progress.

→ Instead of paper chasing, identify a problem, build a prototype, and document your process.
𝗠𝗶𝘀𝘁𝗮𝗸𝗲 #𝟮: 𝗧𝗵𝗲 𝗖𝗼𝗱𝗲-𝗣𝗵𝗼𝗯𝗶𝗰 𝗣𝗮𝗿𝗮𝗹𝘆𝘀𝗶𝘀

→ Coding helps you to connect with your dev team and independently prototype ideas.

→ Start with Python, build simple models, and soon enough, coding will become your new best friend.
Read 10 tweets
Nov 5
Looking to land a PM role at Google, Amazon, or Meta?

Here’s the truth: It’s not enough to just secure the offer.

You need to nail the team matching process.

Here’s how to land the team (and role) you want: Image
𝗪𝗛𝗔𝗧 𝗜𝗦 𝗧𝗘𝗔𝗠 𝗠𝗔𝗧𝗖𝗛𝗜𝗡𝗚 𝗣𝗥𝗢𝗖𝗘𝗦𝗦?

At top tech companies, landing an offer is only the beginning.

After that, it’s time for team matching: the stage where PMs find their “home base” within the company.

Why this process is crucial for both parties?
Because it ensures that PMs are placed where their skills and expertise can be best leveraged to drive maximum impact and results for the team and the organisation as a whole.

There are two paths here:

→ Sometimes you’re hired for a specific team, like “PM, Instagram Growth.”
Read 13 tweets
Nov 3
The biggest bottleneck in scaling your product with enterprise clients?

Not getting your product ready.

Here’s what you need to know to transform for enterprise: Image
𝗧𝗛𝗘 𝗣𝗜𝗧𝗙𝗔𝗟𝗟𝗦 𝗜𝗡 𝗖𝗢𝗡𝗩𝗘𝗡𝗧𝗜𝗢𝗡𝗔𝗟 𝗪𝗜𝗦𝗗𝗢𝗠

Many believe an “enterprise-ready” product only needs the basics: RBAC, SSO, SLAs, and audit logs.

These are important but just the price of admission...
Companies like @Atlassian, @datadoghq, and @SnowflakeDB have shown that winning in the enterprise space requires a fundamental transformation.

And for help in delivering this transformation quickly and cost-effectively, check out @WorkOS – they make products enterprise-ready.
Read 12 tweets
Oct 29
This founder dropped out of college and built a $20B company.

Here's the crazy story of how Figma went from nothing to one of the iconic startups: Image
CHAPTER 1 - SOLVING THE FILE PROBLEM

In 2012, Figma's co-founders @zoink and @evanwallace set out to solve a problem that every designer struggled with:

The file problem. Image
@zoink @evanwallace While interning as a designer at Flipboard, Dylan quickly realized how chaotic design collaboration was.

This led them to ask themselves, "Why can't design be collaborative in the browser?" — just like Google Docs.
Read 13 tweets
Oct 28
*Save this post for the next time you interview*

These are the 30 questions Eugene Segal has seen most in his mid-level PM leadership job search (Director/GPM/Head Of).

AND - Here’s the proven way to answer these questions and succeed in your interviews: Image
𝗧𝗛𝗘 𝟰 𝗕𝗜𝗚 𝗟𝗘𝗩𝗘𝗥𝗦 𝗬𝗢𝗨 𝗡𝗘𝗘𝗗 𝗧𝗢 𝗦𝗨𝗖𝗖𝗘𝗘𝗗

1. Structure

↳ Use a framework like STAR (Situation, Task, Action, Result) to keep your responses concise, impactful, and resonant.
↳ Also, using structure isn’t “cringe”; it’s a foolproof way to communicate your thoughts with clarity and confidence.
2. Discuss Trade-Offs

↳ Don’t just paint a rosy picture; acknowledge the challenges and complexities that come with everything.
↳ Demonstrating that you understand trade-offs shows that you’re thoughtful, realistic, and ready to tackle real-world problems.
Read 10 tweets

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