Aakash Gupta Profile picture
Jun 3, 2023 27 tweets 11 min read Read on X
What an insane week in AI 🤯

Unity AI
AI Antibiotic
Minecraft AI
MIT: Math AI
Picture-to-3D
Google Starline
Nvidia Game AI
Google Flood AI
ChatGPT in Court
TIME: Humanity End
Neuralink FDA Approval
42% US Not Used ChatGPT
Japan No Copyright OK for AI

Here what you need to know:
1. Unity AI

Unity, the game engine behind 80%+ of mobile games, released the beta for its AI engine.

It will enable the next generation of mobile developers to go live with small teams.

In the future, a solopreneur game dev will make a billion dollars - thanks to AI.
Unity CEO John Riccitello knows a thing or two about games.

He has driven the mobile transformation in games the last 17 years.

He said generative AI in games a 10x transformation that will drive exponential growth.

2. AI Antibiotic

Scientists published a paper using AI to discover a new antibiotic.

It came out last week in the prestigious Nature Chemical Biology.

They used deep learning AI methods to prune through many options and find an ideal candidate.

Source: @Nature
AI allows for the rapid exploration of chemical space, increasing the probability of discovering new antibacterial molecules.

The team screened ~7,500 molecules and performed predictions to narrow down to one candidate.

It resulted in publishing in a peer-reviewed journal. Image
3. Minecraft AI

A team including @DrJimFan released Voyager.

It plays Minecraft on its own.

And the crazy part - it just keeps getting better over time 🤯

It writes CODE to play Minecraft.

It's an advanced application of autonomous agents (started before AutoGPT but supported by its reception).

It just keeps improving itself.

And it's totally open-sourced.

4. Picture to 3D

Instorier released a next-level picture to 3d tool.

This is one of the most details and manipulable photo enhancing tools out there.

What a demo.

Instorier is a storytelling tool from photos.

This AI enhancement represents another big leap and shows how the convergence of 3D, Graphics & AI is leading to mind-blowing results.

When focused products add AI, magic happens.
5. MIT: Math AI

MIT researchers released a paper using AI to solve complex math problems much faster than they could have otherwise.

The AI auto-discovers conservation laws from differential equations.
An MIT researcher spent 12 months to solve 12 quantities.

The AI found 14 in less than a minute.

As AI helps us speed up our understanding of basic science - math - the applied stuff will speed up as well. More exponential progress is on the horizon. Image
6. Google Starline

Google has released a prototype of its 3D telepresence product.

The new version uses breakthroughs in AI to render a 3D version of you to make people feel 'present' next to you.

With just 2 unobtrusive cameras.
Thanks to AI, it's progressed very far from the giant booth you needed to use a while ago.

This technology is going to enable people to feel more connected than ever to their loved one's.

And one day, it will land up in Google Meet - to give Google a Zoom differentiator.
7. Nvidia Game AI

Nvidia showcased how AI can power (non-player character) NPC characters life.

It uses Audio-to-speech, AI-powered conversation (think ChatGPT with a voice), and advanced Nvidia graphics tech to create 'next gen' NPCs.
8. Google Flood AI

In its ongoing attempt to "add AI to everything," Google released an AI to forecast flood dangers near your home.

It uses AI to read weather patterns 7 days in advance and predict how deep the waters will get.

And it works GLOBALLY to help those in need.
Best of all - it's completely FREE.

Google Flood Hub is designed to help people who live near rivers and are aware of flooding threats. It gives them access to real-time data to stay safe.

In places like Africa and India where resources are low, even government agencies use it.
9. ChatGPT in Court

A lawyer used ChatGPT in court and didn't check the cases it cited.

Several cases weren't real. ChatGPT made them up.

The lawyer now faces sanctions for his actions.

Source: @verge
The judge wrote a memo calling the circumstance "unprecedented."

The lawyer's brief was filled with citations to non-existent cases.

So, when called out, he went BACK to ChatGPT and ChatGPT doubled down with MORE FAKE QUOTES!

Reality is stranger than fiction. Image
10. TIME: End of Humanity

TIME Magazine joined the bandwagon of AI doomers and questioned if AI could advance so fast that it's become an existential risk.

It published with this cover:

The magazine is worried about the exponential progress of AI.

At some point, it may be hard for us to even keep up with what the AI is doing.

At that point, it could do something seriously upstream of us noticing and cause human extinction.
11. Elon's Neuralink: FDA Approval

Elon is trying to build a high bandwidth connection from the brain to AI.

Our hands are limited to about 10 bits/ second. They're slow. Neuralink could speed that up by a million.

The goal is to supercharge humanity via AI.

Source: @WSJ
Neuralink's vision is to be able to restore vision even for people blind their whole lives.

They've already achieved impressive results in animals.

With the added capacity of human trials with FDA approval, the future is closer than ever. Blind people will be able to see.
12. Few Americans have used ChatGPT Alot

A study by Pew Research found that only 18% of US adults have used ChatGPT a lot.

And there was a huge disparity - only 11% of women.

On the other hand, 42% of American adults haven't even TRIED ChatGPT. Image
Moreover, only 12% of Americans use ChatGPT for work.

We're STILL very early.

88% of Americans have barely scratched their full potential at work with AI. But in 20 years, they all will. Image
13. Japan: No Copyright OK for AI

This last one is special: you won't find it in ANY major news site.

But Japan has affirmed the right of AI companies to train on ANY data.

The controversy with Midjourney is it trained on copyrighted images.

Japan's Midjourney need not fear.
Anime & video game creators are not on board with the decision.

But Japan is making a big push to revive its sluggish innovation the last 15 years.

The country aims to become a world-leader in AI. This decision will help Japanese AI companies get ahead. Image
I hope you found those 26 tweets helpful!

This thread took an enormous amount of time, from reading news to developing the video/image tweets.

Let's have a gentleman's agreement 🤝

1. Sign up for the newsletter (link in bio)
2. Follow me for more @aakashg0
3. Like & retweets

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More from @aakashg0

Jul 5
If you're preparing for PM interviews in 2025, there's one question type you cannot afford to mess up: Metrics.

Here's the history of how it over took product hiring and why it's the silent killer of PM dreams: Image
PMs have been getting hit with questions like these...

And while they’re not as sexy as product sense or design...

They’ve quietly become non-negotiable in most interviews. Image
So, what happened?

In the late 2000s, Big Tech needed a way to simulate real PM work...

- Something they could ask in 45 minutes
- That showed judgment under pressure
- And gave them clean signals across a large candidate pool.

Metrics interviews were perfect.
Read 9 tweets
Jun 26
Jira Product Discovery (JPD) just launched their biggest update yet.

It will take them from 18K → 36K customers.

Here’s why I think so: Image
1. From Teams → Teams of Teams

I covered Jira Product Discovery (JPD) earlier this year.

They were really good for a product team.

Now, with this month’s launch of Premium, they are really good for multiple product teams.

This is a huge unlock…
2. The Lack of Standardization Problem

For a Head of Product or CPO that has multiple things they are taking care of, it’s hard to get a central view of everything.

Everyone has a slightly different roadmap template.

JPD allows you to centralize all of that!
Read 9 tweets
Apr 21
AI prototyping has changed what it means to be a PM, designer, and engineer in forward-thinking organizations.

Here's how: Image
The Old Way

Here’s what most product development lifecycles look like:

1. Ideation

Most teams barely prototype at the idea stage.

A rare few exceptional designers and PMs do (~5%)
2. Planning

Here, more teams use prototypes, but it still is an exception few (~15%), while sketches and mockups are much more common (>75%)

3. Discovery

In more empowered companies, many teams would test prototypes in the discovery phase (~50%)
Read 10 tweets
Apr 17
OpenAI released that there will be 5 levels of AGI.

If you want to build the future of AI, you should deeply understand it.

We are just crossing step 2 of 5 to AGI.

Yet, somehow, teams are still building like we are in levels 1 or 3.

Let me explain: Image
LEVEL 1: CONVERSATIONAL AI

Remember those awkward chatbots from 2019?

They sounded human...until they didn’t.

You’d ask for help…
They’d return gibberish.
That’s Level 1.

Might be useful but it can't be your strategic moat.
LEVEL 2: REASONING AI

This is where we are right now and it’s the real unlock.

Today’s top models (like GPT-4.1, released this week) can:

→ Break down complex problems
→ Think like PhDs
→ Make sense of ambiguity
→ Power analytics, personalization & decision support
Read 7 tweets
Feb 24
I've seen my fair share of product development processes.

JPD's approach stands out as particularly principled and well thought out.

Here are the five most important things about how they build product: Image
𝗙𝗮𝗰𝗲𝘁 𝗢𝗻𝗲 - 𝗧𝗵𝗲 𝗟𝗶𝗴𝗵𝘁𝗵𝗼𝘂𝘀𝗲 𝗣𝗵𝗶𝗹𝗼𝘀𝗼𝗽𝗵𝘆

As Catalin Bridinel, Head of Design, explains:

"The product is a ship, and the user is a lighthouse that gives you direction."

This is more than a cute metaphor - it's a fundamental operating principle.
It manifested, for instance, in the early access program stages:

Step 1 - Deep dive with 10 carefully selected customers
Step 2 - Expand to 100 customers for broader validation
Step 3 - Then 1000 and GA

And it does in a million little other ways.
Read 13 tweets
Feb 14
Most people are still prompting wrong.

I've found this framework, which was even shared by OpenAI President Greg Brockman.

Here’s how it works: Image
𝗧𝗵𝗲 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴

4 words in lowercase doesn’t work.

If you want to write a PRD, or a product strategy, or something for work, you have to help the LLM get your context.

This is done in 4 parts.
𝗢𝗻𝗲 - 𝗚𝗼𝗮𝗹

LLMs know millions of ways to complete a task.

Clear goal language helps them narrow in on the way you want them to.

EG: “I want to create a Google-level Product Requirements Document for: <Feature>”
Read 9 tweets

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