Headlines

• OpenAI Inks a Deal With Time - The partnership allows OpenAI to use Time’s content to train its AI models. This deal comes after companies ranging from reddit to the FT have all signed content licensing deals with the model developer.

• Earlier Detection, Novel Biomarkers, and Personalized Insights - Researchers found that facial temperature patterns detected by thermal cameras and AI are associated with various chronic illnesses like diabetes and high blood pressure.

• Crypto Miners Pivot to AI? - The soaring demand for AI computing is driving an energy gold rush, that crypto miners are well-positioned to capitalize with advanced equipment (Nvidia GPUs) and access to low-cost power.

• Chinese Network Smuggles Banned Nvidia Chips - The US has been trying to block advanced Nvidia GPUs like the 4090, A100 and H100 from being exported to China since 2022, aiming to maintain leadership in cutting-edge processors.

• Tech Giants Clash Over Web Scraping Rules - Cloudflare launches AI bot blocking tool amid growing debate over web scraping rights and practices

• AI Infrastructure Startups Face Uphill Battle - Enterprise customers are incentivized to hold off on onboarding new vendors due to the rapidly evolving AI landscape, lengthening sales cycles and increasing churn. While this happens to be a very capital intensive business.

Tool Spotlight

Research

A study conducted by McKinsey assessed the rapid adoption and impact of AI tools within organizations and their influence on business functions and investment strategies.

One-third of respondents indicate their organizations regularly use gen AI in at least one business function, with a notable presence in marketing, sales, and service operations.

AI high performers, organizations with significant AI-driven EBIT, are leading in gen AI adoption, particularly in product/service development and risk/supply chain management.

While there is a significant expectation of gen AI broadly disrupting industry within the next three years, especially in knowledge-intensive sectors like technology and financial services it remains to be seen how rapid and broad this shift will be.

Launches