Matthew Moroz

AI products & partnerships @publicisgroupe formerly @twitter, @foxtv

[Ethan Mollick @emollick]

Teaching an experimental class for MBAs on “vibefounding,” the students have four days to come up and launch a company. More on this eventually, but quick observations:

1) I have taught entrepreneurship for over a decade. Everything they are doing in four days would have taken a semester in previous years, if it could have done it at all. Quality is also far better.

2) Give people tools and training and they can do amazing things. We are using a combination of Claude Code, Gemini, and ChatGPT. The non-coders are all building working products. But also everyone is doing weeks of high quality work on financials, research, pricing, positioning, marketing in hours. All the tools are weird to use, even with some training, but they are figuring it out.

3) People with experience in an industry or skill have a huge advantage as they can build solutions that have built-in markets & which solve known hard problems that seemed impossible. (Always been true, but the barriers have fallen to actually doing stuff)

4) The hardest thing to get across is that AI doesn’t just do work for you, it also does new kinds of work. The most successful efforts often take advantage of the fact that the AI itself is very smart. How do you bring its analytical, creative, and empathetic abilities to bear on a problem? What do you do with access to a very smart intelligence on demand?

I wish I had more frameworks to clearly teach. So many assumptions about how to launch a business have clearly changed. You don’t need to go through the same discovery process if you build a dozen ideas at the same time & get AI feedback. Many, many new possibilities, and the students really see how big a deal this is.

[Matthew Moroz @moroz]

@TheRealAdamG @OpenAI 👏 time really does fly

[Matthew Moroz @moroz]

@godofprompt Thanks!

[Joanne Jang @joannejang]

hi, come build new interfaces with me @OpenAI !

computer : gui :: ai : ?

[Runway @runwayml]

Introducing Apps, an easier way to create anything with Runway.

From reshooting your products to restyling images, Apps are an ever-growing collection of use case specific workflows that make it easier than ever to get to great outputs. Apps are now rolling out on web, with more releasing every week. Have an app idea you’d like to see? Let us know in the comments.

Learn more about the launch collection below and start creating with Runway Apps today.

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[Matthew Moroz @moroz]

@_adishj MOSAIC

[Will Manidis @WillManidis]

Craft Is the Antidote to Slop

"The devil’s oldest strategy is, of course, promising godlike creation without godlike effort."

[Adam.GPT @TheRealAdamG]

https://t.co/wLSdNVTkjK

[Adam.GPT @TheRealAdamG]

https://t.co/fJhbMgqugz

This GPT-5 cookbook/prompting guide is pure gold.

"We’ve seen significant gains from applying these best practices and adopting our canonical tools whenever possible, and we hope that this guide, along with the prompt optimizer tool we’ve built, will serve as a launchpad for your use of GPT-5. But, as always, remember that prompting is not a one-size-fits-all exercise - we encourage you to run experiments and iterate on the foundation offered here to find the best solution for your problem."

[Aaron Levie @levie]

The difference between people getting extreme leverage from AI Agents vs. moderate returns seems to be just a willingness to put the time into really good prompt design and fixing any errors from the agent. Once you make this mental jump, the output goes up enormously.

[John Collison @collision]

Find someone who loves you the way o3 loves putting information in little tables.

[Santiago @svpino]

Stop the nonsense.

Don't build an AI Agent unless there's no other alternative.

For most applications, you'll be better off:

1. With a simple rule-based system
2. Upgrade to static models when complexity increases
3. Implement simple, well-prompted LLM calls
4. Build an LLM-based workflow with predefined code paths

Then, and only then, AI agents might be a good alternative.

Every single option on the above list is easier to implement and more maintainable than an agent.

[Cristóbal Valenzuela @c_valenzuelab]

Infinite camera coverage on demand is here. Generating completely new camera angles while retaining the action and motion of the scene is now possible with Runway Aleph. Need a new angle for that scene. Just generate it.

When technology feels like magic. Doing something that has never been done before. Delightful and surprising.

[Matthew Moroz @moroz]

@EXM7777 claude

[fahad @fahadaghaslan]

say goodbye to your adobe subscription 📹

we built cursor + loveable for video editing 👇

[Matthew Moroz @moroz]

@kevin_jahns curious if you'd like to connect for some high touch support on a project that could use your help? love the product, but need to tap in the pros!

[Matt Wolfe @mreflow]

I am so impressed by everything right now. o3 is blowing my mind, Gemini 2.5 Pro is writing really good code for me, Kling, Runway, Luma, and Pika are insane, 4o's image generation is still really impressive to me.

What a time to be alive...

[Cristóbal Valenzuela @c_valenzuelab]

We don't yet have a term for "synthetic live action." We have an established grammar and language to describe animation, live action, and CGI. But a live action-like shot that is entirely generated yet feels captured by a camera is a relatively new concept.

[Cristóbal Valenzuela @c_valenzuelab]

I’ve been saying this for a while, but it’s now more obvious than ever: the next wave of innovation won’t come from only building better models. It will come from those who use them to solve real problems, create novel applications, and drive meaningful change. The infrastructure is in place. The challenge now is to use it creatively and effectively.