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 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
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
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
Dec 15, 2024
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, 2024
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, 2024
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

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