Justine Moore Profile picture
Dec 11, 2022 β€’ 10 tweets β€’ 5 min read β€’ Read on X
ChatGPT just killed homework, essays, and take-home exams.

Or did it?

How written work might survive in the age of AI πŸ‘‡
ChatGPT was a shock to the educational system.

Overnight, students could input a prompt or problem and get a solid result across subjects - English, history, CS, even science.

And unsurprisingly, they're using it to do their assignments and exams.

Apps to answer math questions have been around for a while.

But ChatGPT is different - it can do things that previously required human judgment and analysis, like writing full essays or solving complex problem sets.

The result? An "existential crisis" for educators.
What's next? I see three paths forward:

1⃣ Schools adjust assignments to prevent the use of AI.

Take-home work largely disappears. Class time is used for proctored essays, problem sets, and exams.

Homework time is spent learning asynch via video - a "flipped classroom" model.
2⃣ Schools embrace AI.

Students will use AI in real life. Why make them do things the "old fashioned way" at school?

Instead, lessons will incorporate AI - teaching students how to write prompts, analyze outputs, and edit as needed (CC: @emollick).

3⃣ Schools learn to audit AI.

In this case, AI assistance is viewed like plagiarism. Educators learn how to detect it, and have policies in place to downgrade or disqualify assignments.

A "GPT watermark" may already be in the works at OpenAI πŸ‘€

Alternatively, a Turnitin.com style tool could be used to predict the likelihood that an assignment was AI-generated.

It could flag:
- Discrepancies between in-class and take-home work
- Heavy use of words/phrases popular with AI tools
- "Unnatural" sentence structure
Today, we're in a state of "AI panic" as parents and educators scramble to address ChatGPT.

FWIW - I think it's not entirely a bad thing. Technological progress is, by nature, disruptive.

Even calculators sparked heavy debate in the 1980s!

onlinelibrary.wiley.com/doi/abs/10.111…
To me, the rise of AI tools presents a question to us all:

Do we maintain the status quo, or use AI as an opportunity to rethink the way we deliver education?

If you're building at the intersection of AI and learning, our team @a16z would love to hear from you πŸ‘€
@a16z Quick addition: @omooretweets and I asked our Accelerated πŸš€ audience (~30K millennials + Gen Zers) about the most likely outcome here.

The results, and a few more thoughts on the subject ⬇️

readaccelerated.com/p/is-this-the-…

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More from @venturetwins

Nov 7
🚨 New @a16z investment thesis: AI x parenting

Raising kids is one of our most challenging and important jobs.

Every parent needs support sometimes - but many can't access it because it's too inexpensive or inaccessible.

AI changes this. What we're seeing πŸ‘‡ Image
To start: there's lots of help for hire.

Fertility specialists, lactation & sleep consultants, night nurses, nannies, assistants - the list goes on.

But most families can't afford human help. They rely on forums, blogs, and friends...and they're often left burnt out and frustrated.Image
What if parents could tap into 24/7 support that was much more personal and efficient?

Enter a new wave of "parenting co-pilots" built with LLMs and agents.

They're always available to tackle questions or concerns, provide guidance, or simply serve as a listening ear.

And advances in LLMs are making these products better - they can remember context on your family to give you the most relevant advice, and some have even started automating basic tasks for busy parents.Image
Read 12 tweets
Oct 10
🚨 New @a16z thesis: building the "AI brain"

We all exist in our own context.

Is it possible to take your jumble of thoughts, history, and memories and distill it into something tangible?

How I exported my brain to AI + what I'm seeing from startups πŸ‘‡ Image
I spent the last six months talking to ChatGPT daily - spilling thoughts, feelings, and even screenshots.

The goal? To create an "AI brain" that truly understood me.

I was blown away by the results...and found it valuable for much more than I expected. A few use cases:
1️⃣ Communicating with others

Some conversations feel like a game of telephone - you're not quite sure you're being understood (or understanding correctly).

Brain dump into an LLM, and it will translate thoughts into more effective communication. Many are already doing this! Image
Read 11 tweets
Aug 20
New tutorial: running multiple Flux LoRAs at once.

This is useful if you want to put multiple people in an image OR combine a person with a style.

These were made using my LoRA + a style LoRA on @replicate, instructions πŸ‘‡


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1/ To start - you need LoRAs to combine!

To train one that makes images of you, follow this thread + link to the trainer.

TL;DR - you'll upload ~15 photos of yourself and can ignore most of the other settings.

Make sure to save your "trigger word."

2/ Get a link to reference this LoRA later.

You can:

1) Download the weights - there's a button when you're done training - and upload as a model on HuggingFace

2) OR hit "copy link address" on Replicate (save this somewhere)

Image
Read 7 tweets
Aug 5
It just got 10x easier to create character-consistent animations with ToonCrafter.

This took <5 minutes to make with Flux from @bfl_ml, @heyglif, @replicate, and @krea_ai.

All available in your browser. The workflow πŸ‘‡
@bfl_ml @heyglif @replicate @krea_ai As a reminder - ToonCrafter interpolates between images to create a video.

You need multiple frames of the same character, which are hard to get!

Flux (released last week) is very good at this - and @heyglif is hosting an app for easy prompting.

glif.app/glifs/clzgufej…
@bfl_ml @heyglif @replicate @krea_ai Once you have your frames, take them to @fofrAI's ToonCrafter model on Replicate.

Make sure your images are the same size, and add a short prompt to describe the movement.

These were my inputs.

replicate.com/fofr/tooncraft…



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Read 5 tweets
Feb 12
🚨 New market map alert!

Our team @a16z consumer dove into the first killer use case of AI: making creative content.

A recap of the companies tackling generation and editing + what we're hoping to see next πŸ‘‡ Image
We'll start with generation.

Millions have used Midjourney and DALL-E (image), Runway and Pika (video), and ElevenLabs (voice).

Typing a prompt and getting content feels like magic - it's no surprise these products have so quickly gone mainstream.

What do we expect to see next?

1) Winning products across all modalities - music, 3D, comics, fiction, and more...

2) Apps that make the best open-source models accessible

3) More social features + remixing

4) Platforms that enable creating + publishing content workflows


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Read 12 tweets
Jan 20
Someone made an AI murder mystery πŸ•΅οΈβ€β™€οΈ

You upscale the crime scene photo to find clues, uncover the murderer, and infer the motive. Image
The first set of clues:


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The second set:


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Read 6 tweets

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