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- 🤖 Runway Announces Gen-2
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Runway announces their next phase
OpenAI does some labor market research
Pitchbook unveils new AI tooling
ChatGPT fails the CFA exam
RUNWAY IS ADDING TEXT-TO-VIDEO
The AI video company is moving at record speed. Seriously, I thought Gen-1 came out about a month ago.
Man, fast doesn’t even cut it, actually.
Don’t let the speed fool you, though; this benchmark is a big deal and the time it took to improve from Gen-1 is understated.
In fact, Runway is not the first team to make text-to-video outputs possible. But they know how to make it look much better.
So while video lags behind the image progress in generative AI, the results in Gen-2 look like a huge step up.
The alternatives on HuggingFace won’t match the quality or scale of Gen-2.
After all, this is a multi-modal diffusion model. It takes in text, images, and video to create these promising videos that never cease to blow me away.
It bares repeating: video always lags behind text and image processing. That’s because video is a more complicated form of media.
Yet, here we are six weeks from the Gen-1 launch witnessing capabilities we thought would take a half-a-year to launch. The people with bets on a singularity event in 2030 are feeling reasonably confident right now.
Picture this: by 2026, you might be able to get GPT to craft a feature-length film script tailored to your preferences. Then, without even reading it, you can upload it into Runway and generate an entire movie.
The age of personal content creation is creeping up on us.
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THE NEW GPT ON THE BLOCK
Prompt: bored robot in cubicle Style: Photo Realistic
OpenAI (and Penn) published yesterday's research paper entitled “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models.”
Yes, it sounds confusing—especially using two different acronyms for GPT in the first three words.
Let’s start there, shall we?
GPT stands for Generative Pre-trained Transformer and is the LLM developed by OpenAI. Keep in mind not all LLMs use Transformer architecture.
Many Large Language Models don’t need to focus on Natural Language Processing to serve a purpose. This concept introduces us to the other GPT.
GPT stands for General-Purpose Technology. LLMs fall under this broader category, and the issue of AI automation sits somewhere in the middle of this confusing word game.
The researchers behind this paper wanted to measure the real impact of GPT-4 and other LLMs on jobs.
Here are the big takeaway points:
1/ 49% of jobs will have LLMs impact 50% of their work
AI is going to continue to automate and impact your work life. The more white-collar your work is, the more impact will hit your daily flow.
2/ 80% of jobs will have LLMs impact 10% of their work
In the near term, most people will only have AI touch a small portion of their day.
3/ The higher the barrier to entry, the higher the exposure to LLMs
Creative work, software engineering, etc., require a certain level of comprehension and effort to excel, and AI is quickly replicating those patterns.
The correlation makes sense here, and the more we understand these models, the more we reconsider who automation is threatening.
We wrote a way longer piece about the five jobs most at threat of replacement in the next few years that you can check out.
Overall, it’s great that we’re getting research on this subject, but the trends are what you would expect.
Is it scary? Sort of.
Is it exciting? Hell yes.
Quick Nuggets
📖 Pitchbook is launching a new AI tool to predict startup success
🫧 Bubble talk: Sifted is the latest publication to speculate on a generative AI bubble
🎨 Cool: an AI Art vending machine does more than dispense pre-made work
🕹️ Video games: several Chinese developers are rushing to incorporate AI content
🎬 Filmustage is incorporating AI into the pre-production filmmaking process
🧮 Old math, new tricks: can we finally discover more about the black box?
🧾 ChatGPT is not great in the CFA exam. FT was quick to point it out
😂 This guy claimed he made a chat AI for text—turns out it was his friend replying
📷 Photoshop now has a Stability AI plugin to use AI in the app
💸 Tauva raises $6.1m in a seed stage led by Sequoia to make personalized voice and face cloning possible
👀 Must read: OpenAI’s Head of Applied AI gives their take on prompt engineering
🐴 CoLT5: is a proposed model to handle large amounts of text with less computational power
👴 Garmi is helping Germany take care of its elderly population
🗳️ Election misinformation is getting more sophisticated thanks to AI
🍬 Sweet: a new way to watermark images from diffusion models published
🤔 Hmm, ChatGPT helped this team win a Hackathon. Is it cheating?
🔥 Fresh Products
Baked - let’s you generate AI and stamp it on a product (link)
GooGPT - Google-like AI search UX (link)
ChatLLaMA - new LoRA weights for personal assistant LLM (link)
CodeAlpaca - a model fine-tuned to generate code for you (link)
CollabGPT - everyone works with the same LLM (link)
Naval AI - ask Naval Ravikant any question you want (link)
Quaffle - use AI for quick tasks on your Mac (link)
Scrip AI - generated short video scripts faster (link)
Lovo - updated their Text-to-speech offering (link)
Systeme - AI-integrated marketing platform (link)
Finsheet - tons of market research brought into one spreadsheet (link)
Good Content, Blessed Pizza
What a holy sight. I’ll be back; I suddenly find myself craving pizza and need to go grab a slice.
That’s it for today. I hope you enjoyed the latest edition of inclined.ai - Davis.
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