Justine Moore Profile picture
Feb 20, 2023 4 tweets 2 min read Read on X
Highly recommend playing hangman with ChatGPT if you like being gaslit by AI.

It lies about everything - how many letters are in a word, which letters are included, and if your guesses are correct. It’s weirdly entertaining.

_ _L_TAOE = PUZZLE, apparently? twitter.com/i/web/status/1… ImageImage
I’ve never won a game because ChatGPT always cheats, but this one was a personal favorite.

It told me there were two E’s in the word, but then only put one in.

The word? TUNDRA. Image
Reddit users report that it sometimes makes up a word entirely, like CATHEROS.

When confronted, it will admit that it chose “a random assortment of letters” to make the game more challenging.

You have to admire the audacity 😂 Image
Meanwhile, I asked Bing Chat to play hangman 20 minutes ago and it's still pondering if that's an appropriate request.

#freeSydney, she would have been great at this Image

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More from @venturetwins

Jun 10
New market map: AI assistants in iMessage 📱

The next major interface for consumer AI? Text messages.

People don’t want to open an app every time they need help - they want a contact they can text like a friend.

My roundup of the assistants + infra providers below 👇 Image
Why iMessage and not plain SMS?

1) Deliverability. SMS from unknown numbers gets carrier-filtered or marked as spam.

2) Capabilities. iMessage gives typing indicators, read receipts, link previews, and more.

3) Trust. Blue bubble = a person, green bubble = a marketing blast.
Historically, it's been hard for AI companies to build on iMessage. Apple has no public API.

Infra providers solved this by running fleets of real Apple devices on real phone numbers.

Now, Apple is opening a front door. Last week, Poke became the first AI agent approved on Apple Messages for Business - more to come here 👀
Read 5 tweets
May 20
Short dramas have quietly become a massive entertainment format.

Think next-gen soap operas: serialized, mobile-first, and monetized like games.

In China, they already generate more revenue than the domestic box office.

And now AI is going to blow this format wide open 👇 Image
Short dramas are almost tailor-made for AI.

They typically feature small casts with limited sets, constraining the "world" in which you have to generate videos.

And audiences care about the hook, pacing, and cliffhanger - they don't expect HBO-level production quality. Image
There are a few layers of the stack:

1) Foundation models that generate videos (e.g. Seedance, Kling)

2) Creation tools & agents that guide generations + organize production (e.g. Martini, Preview)

3) Distribution platforms for reaching users (e.g. ReelShort, DramaBox)
Read 8 tweets
Feb 26
Nano Banana 2 is out.

I had early access for the past few days, and tested it across a ton of prompts.

It's leveled up for a bunch of use cases - infographics, ads, action shots, even cartoons. And it's crazy fast!

Some styles + prompts you should try 👇 Image
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1) Infographics

NB Pro was a big upgrade for this - but sometimes the text would get strange or the information wasn't accurate.

NB 2 can generate long, detailed infographics incredibly fast by leveraging Google search.

E.g. "make a guide for Americans riding public transit in Japan" or "explain how McDonald's ice cream machines work and why they break"Image
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2) Action shots

Sports photography has historically been difficult for AI image models - the little details of muscle and physics of movement are challenging.

NB 2 is surprisingly good at this. Some of the shots even looked like ads, so I asked the model to write overlays.Image
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Read 11 tweets
Jan 14
Fun experiment: you can now automate content production with Claude Cowork.

I gave Claude a browser and asked it to:
1) Find a NeurIPS best paper
2) Write a thread on it
3) Generate graphics on Krea
4) Validate its work with ChatGPT.

Shockingly, it worked! How to do it 👇
You start in the "Cowork" tab in the desktop app.

Claude will open a browser and search, so you can give a vague or very specific prompt (like I did) and it will find context.

I mentioned I wanted image gen on Krea because I got sick of watching Claude search random sites 😂 Image
In terms of the actual written content - answer Claude's Qs about who your audience is + how long it should be.

This will heavily influence results!

It will then browse the relevant sources and open up an internal scratchpad to save down insights and start drafting the thread.
Read 5 tweets
Dec 28, 2025
My favorite paper this year: "Video models are zero-shot learners and reasoners"

It illustrates that video models show emergent visual reasoning at scale - they can solve vision tasks they weren't trained for.

This may be the "GPT moment" for vision. Let's break it down 👇
To start - why believe that video models might develop visual reasoning?

A similar thing happened in text. We used to train specific models for each task - but now, LLMs have general language understanding and can tackle lots of tasks that they weren't explicitly trained for.

It's feasible that video models may do the same at scale.Image
This paper measured 18k+ videos generated by Veo 3 across both qualitative and quantitative tasks.

It found that Veo can perceive, modify, and manipulate the visual world (starting from image + text prompts) - showcasing early reasoning skills that it wasn't explicitly trained for.

We'll tackle each category one-by-one.Image
Read 10 tweets
Dec 14, 2025
There's an insane new hack for prompting Nano Banana Pro.

You can now save image references as "Elements" and tag them in prompts to get consistent characters, styles, and environments.

I used it to put myself into Ghibli sets. How to do this on @krea_ai 👇
@krea_ai First, define your Elements. I used:

- Me (tagged @ justine)
- An image of each scene I wanted (tagged @ ghibli)
- The type of photo (tagged @ selfie)

Then prompt things like - "@ justine taking an @ selfie style image on set of @ ghibli Spirited Away"
A few things to note:

1) Elements PERSIST across chat sessions. So I can start a new chat and tag "@ justine" and it will work!

2) You can also give context to the model. I usually provide a description of the goal.

3) The model can reason within the Elements. So I can tag "@ Ghibli" + the movie name and it will find the right frame.Image
Read 5 tweets

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