Artificial intelligence-enhanced robots have already overtaken the burger flippers of America — and they’re coming for the deep fryers at Buffalo Wild Wings next.
Miso Robotics launched its burger-cooking robot arm Flippy back in 2018, as an easy way for restaurants to cut labor costs. Even Walmart tested Flippy in its many kitchens. Then in 2020, White Castle hired its own fleet of Flippys.
Now, the company is moving on to the next step of its world robotics domination plan with a new robot called Flippy Wings, or “Wingy.” Read More
Daily Archives: October 27, 2021
Artificial intelligence sheds light on how the brain processes language
Neuroscientists find the internal workings of next-word prediction models resemble those of language-processing centers in the brain.
In the past few years, artificial intelligence models of language have become very good at certain tasks. Most notably, they excel at predicting the next word in a string of text; this technology helps search engines and texting apps predict the next word you are going to type.
The most recent generation of predictive language models also appears to learn something about the underlying meaning of language. These models can not only predict the word that comes next, but also perform tasks that seem to require some degree of genuine understanding, such as question answering, document summarization, and story completion.
Such models were designed to optimize performance for the specific function of predicting text, without attempting to mimic anything about how the human brain performs this task or understands language. But a new study from MIT neuroscientists suggests the underlying function of these models resembles the function of language-processing centers in the human brain. Read More
Examining algorithmic amplification of political content on Twitter
As we shared earlier this year, we believe it’s critical to study the effects of machine learning (ML) on the public conversation and share our findings publicly. This effort is part of our ongoing work to look at algorithms across a range of topics. We recently shared the findings of our analysis of bias in our image cropping algorithm and how they informed changes in our product.
Today, we’re publishing learnings from another study: an in-depth analysis of whether our recommendation algorithms amplify political content. The first part of the study examines Tweets from elected officials* in seven countries (Canada, France, Germany, Japan, Spain, the United Kingdom, and the United States). Since Tweets from elected officials cover just a small portion of political content on the platform, we also studied whether our recommendation algorithms amplify political content from news outlets. Read More
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