Post Thumbnail

Superhuman challenges Gmail with its own smart filtering system

Superhuman has introduced a revolutionary solution to combat the growing flow of unwanted correspondence by launching an AI-based automatic email categorization system. The new Auto Label feature is designed to solve one of the most pressing problems of modern email – efficient filtering of incoming messages.

After ChatGPT appeared more than two years ago, almost all email clients implemented AI functions for composing emails and creating their brief descriptions. However, Superhuman went further by offering an innovative approach to email inbox organization.

“Over the past year, our clients have constantly complained about the growing flow of cold emails, marketing newsletters, and spam. They asked why Superhuman doesn’t filter these emails? Previously, we relied on Gmail and Outlook spam filters, but their effectiveness proved insufficient. So we decided to take email classification into our own hands,” – explained Superhuman CEO Rahul Vohra in an interview with TechCrunch.

The new Auto Label system automatically assigns labels such as “marketing”, “commercial offer”, “social networks” and “news” to emails. A unique feature of the solution is the ability to create custom labels using text queries, which allows customizing categorization for individual needs.

An important advantage of the new functionality is the ability to automatically archive emails of certain categories. This fully aligns with Superhuman’s philosophy aimed at processing email correspondence as quickly as possible.

It’s worth noting that the idea of email categorization isn’t new – Google was one of the pioneers in this field with its Inbox client, which, however, was shut down in 2019. Since then, various email clients, including standard Gmail, have tried to reproduce similar functionality, but with varying success.

The launch of Auto Label by Superhuman marks a new stage in the development of email management tools, where artificial intelligence is used not only for content creation but also for its effective organization. This is especially relevant in conditions of constant growth in business correspondence and marketing newsletters.

Autor: AIvengo
For 5 years I have been working with machine learning and artificial intelligence. And this field never ceases to amaze, inspire and interest me.
Latest News
OpenAI promises to create full-fledged AI scientist by 2028

OpenAI promised to create a full-fledged AI-based scientist by 2028. Company CEO Sam Altman also stated that deep learning systems will be able to perform functions of research scientists at intern level by September next year. And the level of an autonomous full-fledged AI researcher could be achieved by 2028.

Jobs for young IT specialists in Britain collapsed by 46%

You know what's happening in the job market for young IT specialists in Great Britain? Over the last year, the number of jobs for young specialists collapsed by 46%. And a further drop of 53% is forecast, reports The Register. Citing statistics from the Institute of Student Employers.

Pavel Durov introduced Cocoon - decentralized network for launching AI

Telegram head Pavel Durov spoke at the Blockchain Life conference in Dubai and presented his new project called Cocoon there. And this is an attempt to challenge big corporations' monopoly on AI.

AI models may develop self-preservation instinct, scientists warned

Palisade Research, a company engaged in AI safety research, stated that models may develop their own self-preservation instinct. And some advanced models resist shutdown, and sometimes even sabotage shutdown mechanisms.

AI passed Turing test in music

University of Minas Gerais in Brazil conducted an experiment. Participants were given pairs of songs, in each of which was one generated track. They needed to determine which one exactly. And the results were unexpected.