OpenAI breaks silence

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Today we will discuss-

👨‍⚖️OpenAI retorts back to The New York Times' copyright lawsuit
👽Canada's anti-money laundering body to use AI in detecting frauds
🍷A new study shows robots can spot hidden alcohol problems
😱11 fantastic AI tools you might not have heard of

All this and more - Let's dive in!

👩‍🍳What’s cooking in the newsroom?

OpenAI reveals The New York Times copyright lawsuit is without any merit

🤓News - OpenAI has responded to The New York Times' recent copyright lawsuit. In a detailed blog post, they argued their use of publicly available online content, including some NYT articles, falls under fair use for training AI models.

The company mentioned that they've been working with news groups like the AP and NYU, showing how much they care about the news world. They also talked about making sure their models are trained safely and ethically. OpenAI explained that publishers who don't want their content used for training can choose to opt-out, which means their material won't be part of the training data.

🤖What more did the company say?

Regarding accusations of "regurgitation" where AI models copy chunks of text verbatim, OpenAI admitted that it's a rare bug they're actively fixing. They claim such occurrences are usually triggered by users deliberately manipulating prompts with lengthy article excerpts. OpenAI said they take these issues seriously, citing a past instance where they removed a feature prone to unintended content copying.
Interestingly, OpenAI suggested the NYT may have intentionally manufactured "regurgitation" examples by crafting targeted prompts. They expressed surprise and disappointment at the lawsuit, considering their seemingly constructive partnership discussions on real-time content display with attribution in ChatGPT. The AI firm revealed that The NYT reportedly refused to share specific examples of regurgitation despite assurances of investigation and resolution.

Lastly, OpenAI claims that The New York Times is not telling the full story. The ChatGPT-maker is considering this lawsuit as an opportunity to clarify their responsible use of online content for AI development.

Canadian anti-money laundering agency to use AI for fighting financial crimes

📰News - Canada's anti-money laundering agency, FINTRAC, is making a big bet on artificial intelligence to tackle the country's estimated $100-$130 billion annual problem. Facing criticism for past leniency, FINTRAC recently levied record fines on Royal Bank of Canada and CIBC for failing to report suspicious transactions. Now, they're hoping AI can revolutionize the fight against financial crime.

"AI is allowing humans who have the right mindset to analyze much more data than ever before," says FINTRAC's Deputy Director for Supervision, Donna Achimov. "This makes it easier to detect more suspicious activity."

😎What is the new AI tool capable of? The agency's new AI tools sift through vast amounts of financial data, searching for patterns and anomalies that might indicate money laundering. This includes analyzing transactions, customer behavior, and even social media activity.

While some experts are skeptical about AI's effectiveness in such a complex task, FINTRAC is confident. They believe AI can identify hidden networks and suspicious patterns that human analysts might miss.

Money laundering fuels organized crime, terrorism, and corruption. If successful, FINTRAC's AI gamble could be a game-changer in the fight against these harmful activities.

AI can help identify patients in need of alcohol treatment, study finds

🤖News - A groundbreaking study published in Alcohol: Clinical and Experimental Research suggests artificial intelligence could be a game-changer in tackling risky alcohol use. The research found that an AI-powered program, using natural language processing (NLP), was three times more effective than traditional methods in identifying patients at risk for alcohol problems before surgery.

Traditionally, doctors rely on diagnostic codes in medical records to flag potential alcohol issues. However, these codes often miss crucial details buried within clinical notes. This is where NLP steps in. The AI program in the study scanned the text of 54,000 patient records, searching for patterns and keywords indicative of risky drinking and alcohol use disorder.

🎃How was the result? The results were remarkable. The AI algorithm identified 15% of patients as having risky alcohol use, compared to just 5% using only diagnostic codes. This suggests that AI can uncover hidden drinking problems that traditional methods miss, potentially preventing serious surgical complications related to alcohol.

"This study highlights the potential of AI-powered tools to identify at-risk drinkers and intervene early," says lead author of the study. "Early detection and intervention can significantly improve patient outcomes and reduce the burden of alcohol-related healthcare costs."

👩🏼‍💻What else is happening?

🤩AI-based series

Person of Interest (2011-2016) - In this captivating crime thriller, a reclusive billionaire named Harold Finch creates a computer program called "The Machine" that can predict violent crimes before they happen. However, the government deems these "irrelevant" crimes insignificant and ignores them. Finch teams up with a former CIA operative, John Reese, to use The Machine's cryptic clues to prevent these crimes and save lives. The series has quite an interesting ending.
Knight Rider (1982 – 1986) - In this action-packed series, Michael Knight, a former undercover police officer presumed dead, is given a new identity and a high-tech supercar named KITT by the Foundation for Law and Government. KITT, equipped with artificial intelligence and an array of advanced features, becomes Michael's partner in fighting crime and protecting the innocent.
Osmosis (2019) - The French series is based on a cutting-edge dating app, which promises to find users their perfect soulmate using a revolutionary AI algorithm. As users submit to the process of data mining, their innermost thoughts and emotions are scanned to pinpoint their ideal match. However, this unprecedented level of intimacy and dependence on AI raises ethical questions about privacy and the true nature of love.

👩🏼‍🚒Discover mind-blowing AI tools

FindWise - An AI-powered search assistant that allows users to ask questions and get answers based on the content of a website
VatchAI - An AI-powered customer service agent that provides instant support to customers
TranscribeAudio - A transcription tool that allows users to quickly and accurately generate transcripts from audio files
AiSDR - An AI-powered tool designed to help businesses with lead qualification
Supermeme - An AI-powered meme generator that helps users create memes from any text
Magify.design - An AI-powered tool that streamlines the design process for designers by offering support for design systems
TwoShot - AI-based music sampling tool that offers over 200,000 samples for music producers and artists
Levity - It’s a platform that can automate everyday tasks such as email outreach responses, inventory management, survey responses
Chopcast - A tool that uses NLP technology to automatically identify key moments in long recordings
TurboSite - Allows users to effortlessly create beautiful landing pages without any design experience
Listicle Club - A tool that allows users to convert their blog posts into listicles

🎃Unusual AI use cases

AI automobile designer - Engineers have employed AI to craft a distinctive pickup prototype with an unconventional design. The AI model accelerates prototyping, enabling diverse design exploration and personalized customization based on user inputs.
AI toilet sensor - AI-powered toilet sensors track restroom usage, alerting janitors for prompt cleaning. For instance, Procter & Gamble and Kimberly-Clark use AI for hygiene, maintaining a higher standard of sanitation and comfort for restroom visitors.
AI plant stylist - AI plant stylists are simplifying indoor gardening. A case in point, Horti's AI Plant Doctor which has been trained by an NLP Data Scientist (and the world's best botanist) to specifically answer questions related to houseplants. Based on room conditions like lighting, humidity, and aesthetic preferences, it can even suggest ideal indoor plants.

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