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The latest bombshell to hit the ChatGPT spectrum is a report that as of mid-February, the AI has 200 or more books under its virtual belt published in Amazon’s Kindle store. Reuters notes that some titles are “co-authored,” but many are published as-is with no human intervention other than to submit the content and collect the money.

As far as anyone can tell, Amazon is trying to be as transparent as possible with AI-generated titles by tagging them ChatGPT and creating an entirely new section called “Books about using ChatGPT, written entirely by ChatGPT.” However, those are just books that content creators admitted to using AI to complete the work. There could be hundreds more pumped out by less scrupulous “authors.”

Despite the transparency, some in the industry fear that real authors will be hurt by a tidal wave of quickly produced mediocre books that water down the pool of quality work published by human writers. One writer Reuters spoke with went from concept to published work in a matter of a few hours. It was a children’s book with ChatGPT producing the text, and another AI to generating “crude” drawings.

Bain & Company has recently announced a global services alliance with OpenAI, the parent company of ChatGPT. Bain says that it will be using the AI-powered chatbot for creating ‘tailored digital solutions for its clients’.

In November, Notion began testing a generative AI feature within its popular note-taking app.

(Spoiler alert: it has been very successful, but there are some lessons to be learned)

The CRYSTALS-Kyber public-key encryption and key encapsulation mechanism recommended by NIST in July 2022 for post-quantum cryptography has been broken. Researchers from the KTH Royal Institute of Technology, Stockholm, Sweden, used recursive training AI combined with side channel attacks.

A side-channel attack exploits measurable information obtained from a device running the target implementation via channels such as timing or power consumption. The revolutionary aspect of the research (PDF) was to apply deep learning analysis to side-channel differential analysis.

“Deep learning-based side-channel attacks,” say the researchers, “can overcome conventional countermeasures such as masking, shuffling, random delays insertion, constant-weight encoding, code polymorphism, and randomized clock.”

For the first time, scientists have used machine learning to create brand-new enzymes, which are proteins that accelerate chemical reactions. This is an important step in the field of protein design, as new enzymes could have many uses across medicine and industrial manufacturing.

“Living organisms are remarkable chemists. Rather than relying on toxic compounds or extreme heat, they use enzymes to break down or build up whatever they need under gentle conditions. New enzymes could put renewable chemicals and biofuels within reach,” said senior author David Baker, professor of biochemistry at the University of Washington School of Medicine and recipient of the 2021 Breakthrough Prize in Life Sciences.

As reported Feb, 22 in the journal Nature, a team based at the Institute for Protein Design at UW Medicine devised machine-learning algorithms that can create light-emitting enzymes called luciferases. Laboratory testing confirmed that the new enzymes can recognize specific chemicals and emit light very efficiently. This project was led by two postdoctoral scholars in the Baker Lab, Andy Hsien-Wei Yeh and Christoffer Norn.

SAN FRANCISCO, Feb 21 (Reuters) — Until recently, Brett Schickler never imagined he could be a published author, though he had dreamed about it. But after learning about the ChatGPT artificial intelligence program, Schickler figured an opportunity had landed in his lap.

“The idea of writing a book finally seemed possible,” said Schickler, a salesman in Rochester, New York. “I thought ‘I can do this.’”

Using the AI software, which can generate blocks of text from simple prompts, Schickler created a 30-page illustrated children’s e-book in a matter of hours, offering it for sale in January through Amazon.com Inc’s (AMZN.O) self-publishing unit.

RoboCup is an annual international robotics competition proposed and founded in 1996 by a group of university professors. The aim of such a competition consists of promoting robotics and AI research, by offering a publicly appealing, but #formidable challenge.

In 2016, the world’s competition was held in Leipzig, Germany. RoboCup 2017 was held in Nagoya, Japan.
#Humanoid League.

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