Today in AI

• News roundup

• AI research changing the world

• The AI tool we’re loving now

• Algorithmic artistry

• This week on the podcast

News roundup

The top stories in AI today.

FINANCE & ECONOMICS

Economics + the movers & shakers on Wall Street.

• MIT Survey: Cloud Investment and AI Strategy

• TikTok Spending $20M Monthly on Microsoft Cloud AI

• Microsoft Names OpenAI a Competitor in Annual Report

• Meta Says It Will Continue Pouring Billions Into AI

FUTURE OF WORK

Jobs are changing — are you?

• Best Path to ROI for Gen AI

• Why CIOs Are Considering Small Language Models

ALLIANCES

Who’s making moves in the AI game of thrones?

• Vultr And Run:ai Partner To Enhance AI Infrastructure

• Japanese Automakers Join Forces in Autonomous Driving Race

NEW LAUNCHES

The latest features & products in AI innovation.

• Claude Launches in Brazil

• Google’s Gemma 2 2B is a Small Model with Big Impact

• Runway Announces Gen-3: Faster, Cheaper AI Videos

GADGETS

Computers, phones, wearables & other AI gizmos.

• Google Pixel 9 Pro Prioritizes AI Video

• DJI Neo is Affordable Indoor Drone with AI-Subject Tracking

GOVERNMENT

Press releases, regulation, defense & politics.

• USPTO Has 180 Days to Issue Recommendations on AI/Copyright

• Artists Band Together to Sue AI Image Generators

• Biden Administration Calls for Increased Monitoring of Open Models

AI research changing the world

The latest breakthroughs and most pivotal papers — broken down in language anyone can understand.

AI Models: Bigger May Be Better, Reveals OpenAI

OpenAI's latest research uncovers intriguing insights about the scalability of neural language models. This study, conducted by a team of experts from both OpenAI and Johns Hopkins University, delves into the relationship between model size, dataset size, and computational power in language processing AI. Their findings suggest that the path to more efficient AI could lie in scaling up model sizes, a move that may shift the focus from 'big data' to 'big models'. OpenAI's research presents a compelling argument for the power of larger models. They in fact could achieve better performance with fewer training steps, suggesting that when it comes to training AI, size does matter.

This revelation could redefine strategies for AI development, pushing the boundaries of what these models can achieve. One of the key takeaways from the study is the discovery of power-law relationships in the performance of AI models. This means that as the size of the model increases, the performance improves in a predictable scalable manner.

By investing in larger models, companies can potentially achieve better results with less data, which could translate to cost savings and efficiency gains.

The AI tool we’re loving right now

The best way to get AI literate? Try the tools!

Algorithmic artistry

What’s on in the world of AI art & entertainment.

An AI-generated spec commercial for Volvo cars went viral this month. Created using the latest Runway Gen-3 technology, the ad showcases impressive visuals and an innovative concept, all produced within 24 hours by AI.

This week on the podcast

Can’t get enough of our newsletter? Check out our podcast Future-Proof.

Get more with a Pro account

Paid members get access to discounts on AI tools, expert-written tutorials and deep industry data and leaderboards.