Image by Gerd Altmann from Pixabay
Meta is heating up the AI arms race with the launch of a new artificial intelligence model that can help users analyze and complete unfinished images. What helps this model stand apart is not necessarily in what it does, but how it does it.
Unlike existing AI systems, Meta’s so-called Image Joint Embedding Predictive Architecture, or I-JEPA, is designed to aid users based on what it already knows about the world. While existing models compare nearby pixels to aid in image creation, Meta’s I-JEPA is already fed with an internal model of the outside world which it then uses to determine what it needs to produce. The result? A generative model that is less prone to producing people with too many, too few, or impossibly interconnected fingers.
“The idea behind I-JEPA is to predict missing information in an abstract representation that’s more akin to the general understanding people have,” the company said in a statement.
And it’s all open-source! Meaning, unlike OpenAI’s ChatGPT, users will be able to build on top of the models Meta’s researchers have developed as part of CEO Mark Zuckerberg’s plan to let the community innovate, spot safety gaps, and lower costs.
“For us, it’s way better if the industry standardizes on the basic tools that we’re using and therefore we can benefit from the improvements that others make,” Zuckerberg was quoted telling investors in April.
I-JEPA’s features are expected to creep into Meta’s other offerings, including Facebook, WhatsApp, and Instagram, so keep your eye peeled for more AI.
Instagram ranked #3 on HackerNoon’s Tech Company Rankings this week, followed by Facebook at #4, and Whatsapp on #9.
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— Sheharyar Khan, Editor, Business Tech @ HackerNoon
The Tech Company Brief is a weekly newsletter written by HackerNoon editors to help you dissect the last week in tech news! Subscribe here for the full scoop delivered straight to your inbox: https://hackernoon.com/tech-company-brief
This article was originally published by Sheharyar Khan on Hackernoon.
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