But Meta’s model is available only upon request, and it has a license that limits its use for research purposes. Hugging Face goes a step further. The meetings detailing its work over the past year are recorded and uploaded online, and anyone can download the model free of charge and use it for research or to build commercial applications.

A big focus for BigScience was to embed ethical considerations into the model from its inception, instead of treating them as an afterthought. LLMs are trained on tons of data collected by scraping the internet. This can be problematic, because these data sets include lots of personal information and often reflect dangerous biases. The group developed data governance structures specifically for LLMs that should make it clearer what data is being used and who it belongs to, and it sourced different data sets from around the world that weren’t readily available

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Human tears could carry a flood of useful information.

With just a few drops, a new technique can spot eye disease and even glimpse signs of diabetesscientists report July 20 in ACS Nano.

“We wanted to demonstrate the potential of using tears to detect disease,” says Fei Liu, a biomedical engineer at Wenzhou Medical University in China. It’s possible the droplets could open a window for scientists to peer into the entire body, he says, and one day even let people quickly test their tears at home.

Like saliva and urine, tears contain tiny sacs stuffed with cellular messages (SN: 9/3/13). If scientists could intercept these microscopic mailbags, they could offer new intel

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There are no federal laws governing the use of facial-recognition technology, which has led states, cities, and counties to regulate it on their own in various ways, particularly when it comes to how law enforcement agencies can use it.

Generally, there are two types of facial-recognition software: one compares a photo of a person to those in a database of faces looking for a likely match (the kind of software police might use when investigating a crime, such as that sold by Clearview AI), while the other compares a photo of a person to one other image (the kind that is used when you open your iPhone with your face).
The technology has been used across the United States in recent years, but it has also been blasted by privacy and digital rights groups over privacy issues and other real and potential dangers: The technology has been shown to be
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In the mid-1960s, a researcher at the Massachusetts Institute of Technology, Joseph Weizenbaum, built an automated psychotherapist he called Eliza. This chatbot was simple. Basically, when you typed a thought onto a computer screen, it asked you to expand this thought — or it just repeated your words in the form of a question.

Even when Dr. Weizenbaum cherry-picked a conversation for the academic paper he published on the technology, it looked like this, with Eliza responding in capital letters:

Men are all alike.

IN WHAT WAY?

They’re always bugging us about something or other.

CAN YOU THINK OF A SPECIFIC EXAMPLE?

Well, my boyfriend made me come here.

YOUR BOYFRIEND MADE YOU COME HERE

But much to Dr. Weizenbaum’s surprise, people treated Eliza as if it were human. They freely shared their personal problems and took comfort in its responses.

“I knew from long experience

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New TechnologyThe Bits publication will hold you up to date on the most recent from Silicon Valley and the technology business.

Blockchain expertise will not be only transforming banks and the best way each consumers and sellers are making transactions online, but it additionally adapts financial institution regulation and supervision It permits banks to track the progressive historical past of every transaction on their systems to ensure that the origin, the ultimate vacation spot, and the use of funds are traceable and clear. The Nios Micro S is targeted to the pediatric population (gentle to severe hearing losses) and the Naida comes in two fashions – the SP for moderately severe to profound listening to losses, and the UP for severe to profound listening to losses. A quantum-encrypted message containing more than one bit of knowledge in each particle of sunshine was beamed by the air between two buildings in a …

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