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  • 🥟 Chao-Down #304 Apple explores building home robots after abandoning developing cars, Google considers charging users for AI-powered search, ChatGPT paid users can now use AI to edit Dall-E images

🥟 Chao-Down #304 Apple explores building home robots after abandoning developing cars, Google considers charging users for AI-powered search, ChatGPT paid users can now use AI to edit Dall-E images

Plus, Waymo's self-driving cars begins delivering Uber Eats orders for the first time.

Is personal robotics Apple’s next big thing?

According to a story in Bloomberg, Apple is considering building a home robot after pulling out of its decade-long attempt at building a self-driving, electric car. What exactly that robot will do or what it will look like is still to be determined, but reportedly the robot would be able to follow users around in their homes and do basic tasks.

Apple’s next big thing is… robots? - Bandwidth Blog

Apple’s been looking for their next major hardware product that would have the same eye-watering revenue margins they’ve enjoyed in products like the Apple Watch and Airpods.

A big reason why Apple shelved its car ambitions boiled down to money: executives didn’t think they would be able to make a ton of profit selling a $100k+ vehicle. Even with its latest Vision Pro, early signs show that the headset isn’t a breakthrough success with customers going back to the store to return the device.

If Apple does release a home robot, what would you want it to do?

-Alex, your resident Chaos Coordinator.

What happened in AI? 📰

Google might make users pay for AI features in search results (Ars Technica)

Waymo self-driving cars are delivering Uber Eats orders for first time (CNBC)

Paid ChatGPT customers can now use AI to edit DALL-E images (Axios)

AI hustlers stole women’s faces to put in ads. The law can’t help them (The Washington Post)

Open-source voice cloning model "Voice Craft" steamrolls over OpenAI's ethical concerns (the-decoder.com)

AI-generated songs are getting longer, not necessarily better (The Verge)

Always be Learnin’ 📕 📖

microsoft/generative-ai-for-beginners: 18 Lessons, Get Started Building with Generative AI (Github)

Even LLMs need education—quality data makes LLMs overperform (Stack Overflow)

Full Steam Ahead: The 2024 MAD (Machine Learning, AI & Data) Landscape (Matt Turck)

Projects to Keep an Eye On 🛠

princeton-nlp/SWE-agent: SWE-agent: Agent Computer Interfaces Enable Software Engineering Language Models (Github)

Introducing Command R+: A Scalable LLM Built for Business (Cohere)

nilsherzig/LLocalSearch: LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. (Github)

The Latest in AI Research 💡

Long-form factuality in large language models (arxiv)

Octopus v2: On-device language model for super agent (arxiv)

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models (arxiv)

The World Outside of AI 🌎

The great rewiring: is social media really behind an epidemic of teenage mental illness? (Nature)

California introduces 'right to disconnect' law during nonwork hours (USA Today)

Most work is new work, long-term study of U.S. census data shows (MIT News)

Colleges Are Facing an Enrollment Nightmare (The Atlantic)

Some colleges will charge up to $95,000 this year (Fortune)

How do you get lead poisoning? Why lead keeps showing up where it’s not supposed to. (Vox)

One Last Bite 😋