OpenAI & Google Bring New AI Features to Users

PLUS: Microsoft gives startups free AI chip access

Greetings, curious minds!

Join us for a brief revision of the latest AI developments in edition #29 of The Hidden Layer.


Today's AI Headlines:

  • Google bringing AI to ads

  • OpenAI launches AI app store

  • China faces AI talent shortage

  • Microsoft gives startups free AI chip access

Google is bringing generative AI to advertisers

Performance Max, the AI-driven campaign feature from Google, helps businesses leverage Google's ad inventory to better follow consumer trends and navigate consumer journey. It's been enhanced with new AI-driven features like brand exclusions, asset reporting, and the ability to generate marketing assets rapidly.

These generative AI enhancements in Performance Max are aimed at enabling marketers to create high-quality, unique advertisements easily and quickly. With tools for generating new ad components and editing images, Google ensures these assets align with their AI principles and user policies, embedding a watermark and metadata for transparency.

FROM OUR PARTNERS

AI Spotlight

App Store for AI: OpenAI’s GPT Store lets you build (and monetize) your own GPT

OpenAI announced new features including GPTs, which allow anyone to build their own versions of ChatGPT for specific purposes. Users can create GPTs through chatting with ChatGPT or uploading data.

OpenAI also announced the GPT Store, where users can publish and monetize their custom GPT models. The store allows users to earn money based on usage of their GPTs. This is similar to the app store model, and raises questions around potential conflicts with major platforms like Apple.

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AI Glimpse

Prompt of the Day: 

Evaluate [specified topic] and provide me with 5 strategies to elevate its appeal and captivate the audience.

Specified topic = [Insert here]

Decoding AI: Your Questions Answered

What is Perceptron?

A perceptron is the simplest form of a neural network, typically used for binary classification. It consists of a single layer with weighted inputs, a bias (a constant to adjust the output), and an activation function. The perceptron algorithm adjusts the weights based on errors in predictions, guiding the model towards better accuracy over iterations.

Thanks for reading edition #29. Have questions about AI and society/business? Ask us for the next edition.

Until next time,



Best,
The Hidden Layer Team

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