🥟 Chao-Down #113 Generative AI job postings surge 20%, People who train AI are outsourcing their work to AI, IBM to bring generative AI commentary to Wimbledon

In the face of layoffs across the tech sector, one bright spot that is seeing growth in hiring is generative AI.

According to Indeed, Generative AI job postings in the United States grew 20% last month. For every million job listings, there were 204 AI related job postings, which was more than double than the number in 2021.

Also, searches for generative AI jobs have also seen a huge jump, nearing 147 per million in May, compared to virtually zero in 2022. Roles like data scientists, software engineers, machine learning engineers, and data engineers all saw huge demand.

It’s a welcome sign after a tough year of job loss, inflation, and broader economic challenges. Let’s hope the optimism continues. 

-Alex, your resident Chaos Coordinator.

What happened in AI? 📰

The people paid to train AI are outsourcing their work… to AI (MIT Technology Review)

AI Threatens Many Jobs but More Than a Quarter of Workers Still Plan to Quit (Bloomberg)

AWS launches $100M program to fund generative AI initiatives (TechCrunch)

Robots learn to perform chores by watching YouTube (TechCrunch)

IBM is introducing generative AI commentary to Wimbledon (qz.com)

Agencies to replace 7.5% of jobs with AI by 2030 — but creatives could be spared (Marketing Dive)

Always be Learnin’ 📕 📖

The New New Moats — Why Systems of Intelligence are still the next defensible business model (Greylock)

Getting started with the Mojo programming language - (LogRocket Blog)

ChatGPT plugins: 20+ of the best and how to install and use them (Product Hunt)

The Top Things Founders Get Wrong When They Start a SaaS Company (SaaStr)

Projects to Keep an Eye On 🛠

Stability AI launches SDXL 0.9: A Leap Forward in AI Image Generation (Stability AI)

Inflection-1: Pi’s Best-in-Class LLM (Inflection AI)

The Latest in AI Research 💡

TART: A plug-and-play Transformer module for task-agnostic reasoning (arxiv)

Nikunj-Gupta/Efficient_ResNets: A Residual Network Design with less than 5 million trainable parameters achieving an accuracy of 96.04% on CIFAR-10. (Github)

CASIA-IVA-Lab/FastSAM: Fast Segment Anything (Github)

The World Outside of AI 🌎

American Companies Held Hostage by the Whims of TikTok (WSJ)

US Millennials feel wealthier than Boomers (Quartz)

Americans Are Eating Out More as Grocery Spending Drops Since Covid (Bloomberg)

Return to Office Enters the Desperation Phase (The New York Times)

'Great Resignation' continues as quarter of workers look to change jobs, PwC says (Reuters)

California is no longer America’s most expensive state for gas (Yahoo)

One Last Bite 😋

See part 2 of my time interviewing participants from this year’s CalHacks, UC Berkeley’s AI hackathon!