🥟 Chao-Down #225 Researchers quantify the carbon footprint of generating AI images, US compels Saudi fund to exit AI chip startup, Management consultants and business analysts are most at risk to AI

It looks like we won’t see Google’s answer to GPT4 this year.

The Information is reporting that Google has quietly delayed the public debut of Gemini, a conversational artificial intelligence that aims to compete with OpenAI, to January.

Apparently, the model was supposed to debut this week, but Google CEO Sundar Pichai recently decided to scrap the Gemini launch events after the company found the AI didn’t reliably handle some non-English queries.

It would have been one of Google’s most important product launches this year as it competes against the fast-moving, 800-person startup that is OpenAI and its corporate partner Microsoft. The delayed launch underscores just how difficult it is for a mega-behemoth of a company like Google to move quickly and ship product in this new wave of AI.

Will Gemini still impress in 2024?

-Alex, your resident Chaos Coordinator.

What happened in AI? 📰

The Inside Story of Microsoft’s Partnership with OpenAI (The New Yorker)

Pregnancy discrimination could be enabled by AI - STAT (statnews.com)

Researchers quantify the carbon footprint of generating AI images (engadget.com)

US Compels Saudi Fund to Exit AI Chip Startup Backed by Altman (Bloomberg)

Brazillian city enacts an ordinance that was written by ChatGPT (AP News)

High-flying City workers set to be most affected by AI, finds UK study (ft.com)

Always be Learnin’ 📕 📖

The Developer's Guide to Production-Grade LLM Apps (buildingaistuff.com)

A Data-Driven Look at the Rise of AI (Newcomer)

How Much Does it Cost to Use an LLM? (tomtunguz.com)

Projects to Keep an Eye On 🛠

roboflow/multimodal-maestro: Effective prompting for Large Multimodal Models like GPT-4 Vision or LLaVA. 🔥 (Github)

Tanuki/tanuki.py: Easily build LLM-powered apps that get cheaper and faster over time. (Github)

neurocult/agency: 🕵️‍♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach. (Github)

The Latest in AI Research 💡

ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs (arxiv)

Orca 2: Teaching Small Language Models How to Reason (arxiv)

Animate Anyone - Consistent and Controllable Image-to-Video Synthesis for Character Animation (humanaigc.github.io)

The World Outside of AI 🌎

Why You Love (or Love to Hate) Christmas Music (The New York Times)

Tiny robots made from human cells heal damaged tissue (Nature)

With Offices Sitting Empty, Landlords Are ‘Handing Back the Keys’ (The New York Times)

How Huawei made a cutting-edge chip in China and surprised the US (Ars Technica)

The Future of Aviation | Foundations & Frontiers (Contrary)

Microsoft plans mobile games app store to rival Apple and Google (ft.com)

One Last Bite 😋