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  • 🤖 AI Makes Video Games Super Realistic

🤖 AI Makes Video Games Super Realistic

PLUS: The Growing Sales Arm in OpenAI

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What's up? You're reading Inclined AI. There is still time! Grab a McDonald’s hashbrown before 10:30 AM hits.

Here's what to read while you eat it:

  • Luma AI announces an Unreal Engine Plugin

  • The Information examines the growing sales team at OpenAI

  • Clearview AI scraped Facebook profile photos for the police

  • ChatGPT vs. a travel agent: who’s better?

UNREAL ENGINE JUST GOT A BIT MORE REAL

Luma AI, a leader in NeRF performance for personal use, is adding a plugin to Unreal Engine, a 3-D creation tool for video games and animation.

Check out their promo video:

Okay, cool, but what does this mean for you? For starters, video games are about to get ten times more realistic because this all centers around the technical concept of NeRFs (Neural Radiance Fields).

You’ve seen them used around you whether you realize it or not. A NeRF model takes 2D images and then compiles them into a rendering of the 3D version.

Any AR or VR setup you’ve tried has likely used NeRFs.

Luma AI takes the same idea and empowers everyone to use them. Now, they’re going one step further by helping game developers add real-world objects and environments into their games through a plugin.

You could also use this for more effortless visual effects on a film or any visual media requiring 3D modeling.

By adding their tool to the Unreal Engine platform, they’ll save teams hundreds of hours that it would typically take to make a game or film scene more realistic.

Large Langauge Models are not the only AI making a difference and driving automation. Don’t sleep on NeRFs and Diffusion models, you guys.

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I’m pumped for this Sunday’s piece: The Other Guys: AI Models You Should Know

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OPENAI IS STARTING TO PUSH FOR REVENUE MORE

Prompt: a robotic man sells a product Style: Maysle Brothers

The team at OpenAI built a great product in GPT-3.5_turbo and GPT-4. They know it, you know it, and companies are clamoring for it.

The rise in interest among enterprise clients shows the growing corporate footprint for AI.

Money talks and the fact OpenAI went from barely any revenue to millions in months proves that AI models have a ton of staying power. More demand for public-facing generative AI tools keeps the momentum going up.

There are long-term ramifications tied up in this trendline.

More companies spending on AI validates the concept, pours new data and use cases into research, and bolsters capital expenses for development. You get a better version of GPT-5 thanks to increased sales.

Plus, a diverse set of APIs and plugin partners opens up distribution and exposes more of the general public to these tools.

Sure, your parents don’t use ChatGPT, but they might sign up for Doulingo’s new tutor that runs on the GPT-3.5 API.

We’re not talking about Web3 hype or some obscure Silicon Valley secret. AI is out in the open and powering more tools that anyone can use. We’re no longer saving them for hidden algorithms that decide what to show you.

It’s mindblowing that all these operational developments are still happening through a small sales team.

What happens when OpenAI starts to turn up the heat and start cooking?

Quick Nuggets

🎨 Quality creativity becomes more open with generative AI

👔 Corporations are in control of the latest era in AI development

📝 How do you feel about using a chatbot therapist?

🪵 Woodstock AI was held by HuggingFace recently; here’s the takeaway

🌽 Agriculture & ChatGPT: are the two relevant and working together?

⛑️ Algorithms are deciding in bulk who gets access to healthcare insurance

✈️ The new travel agent for everyone appears to be ChatGPT

🫣 A peek at the thinning boundary between AI and automation

⚽️ FIFA launches an AI-powered mobile game after separating from EA

🚔 Clearview AI gleamed billions of Facebook profile photos for the police

⛳️ An AI caddy for a VR game showcases a new way to use generative AI

🍼 “Baby AGI” was released yesterday as a scaled-down version of the task agent

🔎 ‘Red Father’ Mystery, Forbes investigates what happened to the Bell Labs AI

👁️ Multimodal systems: a quick guide on the term and what it means

😷 Your cough can help AI systems diagnose your ailment

🚫 Hallucination is not the right word to describe what ChatGPT gets wrong

🍎 College professors are starting to adapt to ChatGPT and rework their plans

🔑 AI vs. Machine Learning: learn the key differences between these two ideas

🐶 A robot dog can play soccer on a number of various surfaces like mud and cement

🦾 AI is coming for coders first, that’s the worry at least

🔥 Fresh Products

  • Pico - uses GPT-4 to build simple apps (link)

  • tl;dv - never miss another meeting detail (link)

  • Code translator - go from one language to another (link)

  • Foodie Finder - discover the right restaurant for what your diet (link)

  • Fibery AI - helps you brainstorm and automate tasks (link)

  • Qualifyed - AI mimics your buyer profile (link)

  • Korewa - animates anime characters instantly (link)

  • Linkdelta - optimize your content for every niche (link)

  • IMAI - source influencers for your next campaign (link)

  • Aidaptive - AI drives revenue to your e-commerce site (link)

  • Parseur - automate all that data entry you do (link)

Good Content, Grizzled Tourist

My cousin came to visit me in New York. It’s weird I took him to Times Square, but all he wanted to do was see Central Park.

That’s it for today. I hope you enjoyed the latest edition of inclined.ai - Davis.