I need to unleash my AI!
https://patentlyo.com/patent/2024/02/joint-inventorship-human.html
Joint Inventorship: AI-Human Style
The U.S. Patent and Trademark Office (USPTO) recently published examination guidance and a request for comments on the treatment of inventorship for inventions created with the assistance of artificial intelligence (AI) systems. Inventorship Guidance for AI-Assisted Inventions.
The key takeaway here is that the USPTO believes that an AI-developed invention is patentable so long as a human satisfies the joint-inventorship standard of “significantly contributing to the invention.” A human who provides a significant contribution may be the sole inventor and original owner, even in situations where the AI provided the greater contribution.
… But, the USPTO’s approach is not fully grounded in the law because it allows for patenting of an invention in a situation where no human or combination of humans fully conceived of and originated the invention. Rather, we are simply looking for at least one human who provided a significant contribution. The guidance does not particularly address this issue and, by declining to specifically justify the legal grounds why human “significant contributions” suffice even without complete conception, the USPTO leaves the door open to contrary arguments. Opponents could contend that full conception remains legally required for inventorship and that this expansion of the inventorship doctrine exceeds the statutory language. It is not clear who will have standing to make this particular argument.
Someone mad at their public defender?
https://www.databreaches.net/cyberattack-shuts-down-colorado-public-defenders-office/
Cyberattack shuts down Colorado public defender’s office
Shelly Bradbury reports:
A cyberattack on the Office of the Colorado State Public Defender forced the agency to shut down its computer network, locking public defenders across the state out of critical work systems and prompting attorneys to seek delays in their court cases.
Office spokesman James Karbach confirmed the breach in a statement Monday, saying officials “recently became aware that some data within our computer system was encrypted by malware.”
Read more at Fort Morgan Times.
Censorship is easier than education, but never better.
US judge blocks Ohio law restricting children's use of social media
A federal judge on Monday prevented Ohio from implementing a new law that requires social media companies, including Meta Platform's Instagram and ByteDance's TikTok, to obtain parental consent before allowing children under 16 to use their platforms.
Chief U.S. District Judge Algenon Marbley in Columbia agreed
, opens new tab
with the tech industry trade group NetChoice that the law violated minors' free speech rights under the U.S. Constitution's First Amendment.
It will never be a hit TV show, but perhaps it does foretell the end of the legal profession...
https://www.bespacific.com/better-call-gpt-comparing-large-language-models-against-lawyers/
Better Call GPT, Comparing Large Language Models Against Lawyers
ArXiv – Lauren Martin, Nick Whitehouse, Stephanie Yiu, Lizzie Catterson, Rivindu Perera. 2024. Better Call GPT, Comparing Large Language Models Against Lawyers. 1, 1 (January 2024), 16 pages. https://doi.org/10.1145/nnnnnnn.nnnnnnn
“This paper presents a groundbreaking comparison between Large Language Models (LLMs) and traditional legal contract reviewers—Junior Lawyers and Legal Process Outsourcers (LPOs). We dissect whether LLMs can outperform humans in accuracy, speed, and cost-efficiency during contract review. Our empirical analysis benchmarks LLMs against a ground truth set by Senior Lawyers, uncovering that advanced models match or exceed human accuracy in determining legal issues. In speed, LLMs complete reviews in mere seconds, eclipsing the hours required by their human counterparts. Cost-wise, LLMs operate at a fraction of the price, offering a staggering 99.97 percent reduction in cost over traditional methods. These results are not just statistics—they signal a seismic shift in legal practice. LLMs stand poised to disrupt the legal industry, enhancing accessibility and efficiency of legal services. Our research asserts that the era of LLM dominance in legal contract review is upon us, challenging the status quo and calling for a reimagined future of legal workflows.”
Resource.
https://www.bespacific.com/how-ai-works/
How AI Works
How AI Works. An entirely non-technical explanation of LLMs by Nir Zicherman, January 29, 2024. “For all the talk about AI lately—its implications, the ethical quandaries it raises, the pros and cons of its adoption—little of the discussion among my non-technical friends touches on how any of this stuff works. The concepts seem daunting from the outside, the idea of grasping how large language models (LLMs) function seemingly insurmountable. But it’s not. Anyone can understand it. And that’s because the underlying principle driving the surge in AI is fairly simple. Over the years, while running Anchor, leading audiobooks at Spotify, and writing my weekly newsletter. I’ve had to find ways to distill complicated technical concepts for non-technical audiences. So bear with me as I’ll explain—without a single technical word or mathematical equation—how LLMs actually work. To do so, I’ll use a topic we all know well: food. In the analogy to LLM, “dishes” are words and “meals” are sentences. Let’s dive in.”
Resource.
https://www.bespacific.com/the-best-sites-for-free-high-quality-audiobooks/
The best sites for free, high-quality audiobooks
Fast Company: “The going rate for an audiobook membership from for-pay services such as Audible is around $15 per month. But there are plenty of great sites out there that let you stream or download audiobooks for free if you’re willing to put in a little bit of effort. Here’s a short list of sites to check out before you pony up for a monthly membership.”
Tools & Techniques.
UNDERSTANDING DEEP LEARNING: FREE MIT PRESS EBOOK FOR INSTRUCTORS AND STUDENTS
The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible to most — but also in that it can be either purchased as a hardcover from MIT Press or downloaded for free from the Understanding Deep Learning website. If you intend to use it for coursework, a separate instructor answer booklet and other resources can be purchased, but student resources like Python notebooks are also freely available. In the book’s preface, the author invites readers to send feedback whenever they find an issue.
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