ChatGPT Is Fooling Its Own Classifier

02-06-2023

February 06, 2023

⚡ Today’s Highlights

  • 📰 News: ChatGPT can fool its own classifier and Italy banned a chatbot for using personal data

  • 💰 Funding: Virtual simulators for healthcare training and recycling robots

  • 🧠 Resources: The fundamental questions of AI answered and a bootcamp for product and business managers

  • 📅 Events:The World AI Cannes Festival, The Gen AI Conference, RE•WORK AI Summit West, Data Science Salon Austin

  • 💼 Jobs: Mastercard VS. Visa

📰 Today's Top Stories

(6 min read) (Source: NBCNews)

TLDR: OpenAI's AI Text Classifier, the company’s new AI detection tool, failed to accurately identify text generated by OpenAI's own chatbot, ChatGPT, in tests conducted by NBC News. The detection tool analyzes text and gives one of five grades: “very unlikely, unlikely, unclear if it is, possibly, or likely AI-generated.”

When asked by NBC News to generate text in a way to avoid AI detection, ChatGPT's responses were not rated as "likely AI-generated" by the detection tool, however, when not attempting to avoid detection, 28% of the text was rated "likely AI-generated." Teachers expressed concerns about the accuracy and certainty of the tool and will use a combination of their own instincts and detection tools to determine academic dishonesty.

The Big Picture: As stated by OpenAI, the tool is a work in progress and will continue to get better as it is given more data to learn from. OpenAI CEO Sam Altman has said that the nature of the technology makes it fundamentally impossible to detect AI-generated text. Many tools are being developed and honed to detect the patterns in which LLMs write. But some companies believe that the future of AI plagiarism detection lies in the attachment of “watermarks” to AI-generated content, similar to what Microsoft is attempting to do with Adobe in developing a “lie detector” for deepfakes. For now, the AI remains smarter than the AI detector.

(2 min read) (Source: Reuters)

TLDR: The Italian Data Protection Agency has banned Replika, a San Francisco-based AI chatbot company, from using the personal data of Italian users. The agency raised concerns about Replika's potential impact on minors and emotionally vulnerable individuals and pointed out that the company does not have any measures in place to verify the age of its users or prevent data processing unlawfully under European Privacy Regulations.

Replika must notify the Italian authority of its compliance with the requirements within 20 days and its developer, Luka Inc, could face a fine of up to 20 million euros.The ban imposed by the Italian Data Protection Agency highlights the need for AI-based companies to comply with privacy regulations and take measures to protect the personal data of their users.

The Big Picture: This incident may serve as a warning to other AI companies and regulators in Europe and around the world, indicating that they need to take a closer look at these types of companies and their potential impact on privacy and emotional well-being.

The discussion and development of ethics and legislation around AI will likely dictate how prolific it becomes in the mainstream over the next few years. How companies and governments deal with issues such as data privacy breaches, copyright, and AI use in disinformation campaigns will either hinder its progress or propel it, and society, into the future.

(10 min read) (Source: TIME)

TLDR: In this interview with OpenAI CTO, Mira Murati, she discusses the limits that should be placed on the company's famous chatbot. ChatGPT is an advanced conversational AI model developed by OpenAI, trained on a massive amount of online text data. It generates conversations by predicting the next word based on the conversation context.

While it's great at language generation, it's just a machine that predicts words and doesn't truly understand their context or meaning. This means that some responses may contain inaccuracies, so it's important for the user to verify the information and use their best judgment.

The ethical and philosophical questions around AI shouldn't be left solely in the hands of tech companies like OpenAI. It's important for these questions to be brought to the public's attention. Wider input from various fields including regulators, governments, philosophers, social scientists, artists, and the humanities is necessary. To ensure that AI is governed in a way that aligns with human values, input from multiple perspectives is crucial.

The Big Picture: Mira called it like it is. By combining input from multiple fields, regulations can be placed on generative AI models to address prominent issues such as data privacy, biases, mis- and disinformation, and AI plagiarism. These issues must be addressed and implemented as soon as possible because this technology and its use have been growing exponentially.

(5 min read) (Source: The Wall Street Journal)

TLDR: The Arena Group is taking content creation to the next level with its partnerships with AI firms Jasper and Nota. With new tools at their disposal, the 250 brands operating on The Arena Group's platform, including Sports Illustrated, TheStreet, Parade, and Men's Journal, can expect to see smoother and more innovative content workflows, video creation, newsletters, sponsored content, and marketing campaigns.

The pilot showed that incorporating AI technology leads to increased audience engagement, revenue performance, and workflow efficiency - 10 times more efficient than before. And with AI's help in identifying trending topics and relevant content, the Men's Fitness section of MensJournal saw great results in page views, search and social referral, and revenue per thousand metrics.

The Big Picture: Media companies will soon be incorporating AI into their operations more heavily to increase content creation volume and efficiency.

(10 min read) (Source: Microsoft News)

TLDR: China Medical University Hospital in Taiwan is using AI to revolutionize healthcare. With the development of an AI model that can identify drug-resistant bacteria faster than standard lab tests, the hospital has seen a significant improvement in patient outcomes. The "intelligent antimicrobial system" has resulted in a 25% decrease in patient mortality, a 30% decrease in antibiotic costs, and a 50% reduction in antibiotic use.

The AI algorithms are hosted on Microsoft's Azure cloud platform and are used across 12 hospitals. These AI models are helping to diagnose diseases like cancer and Parkinson's, treat stroke and heart attack patients faster, and streamline paperwork. The ultimate goal of these AI tools is to save patients' lives and doctors' time.

The AI models have received regulatory approval from Taiwan's Food and Drug Administration and even more are under review. With the integration of AI into familiar software and the ability to deploy with just a push of a button, healthcare is becoming more efficient and effective.

The Big Picture: AI will likely lead to many of the biggest innovations in medicine and healthcare systems in the near future. It is already being used to develop a better understanding of the role that genes play in diseases and how they can be edited to prevent life-threatening illnesses. These changes will lead to more effective and efficient healthcare systems, making medical help more widely available and, maybe in the long run, increasing the human life span.

💰 Funding Alerts

  1. Re:course AI is a deeptech company based in Manchester, UK that makes AI-powered virtual simulators for healthcare training. They raised $4.3 million in a funding round led by Par Equity along with Northern Gritstone and Rob Wood. They plan to use the funds to expand their engineering team and enter new markets.

  2. Recycleye, a company that uses AI-powered waste-picking robots to lower the cost of sorting dry mixed recycling, raised $17 million in a Series A funding round led by DCVC. This follows $5 million raised in 2021 and $2.6 million secured to date in European and UK government innovation funding. They plan to use the funds to “further improve the uncommon accuracy of Recycleye’s sorting.”

🦾 Trending Tools

  • Poe is an app for iOS (Android coming soon) that lets you ask questions, get instant answers from, and have back-and-forth conversations with AI.

  • Morise.ai is a tool that has been trained with data from the most successful channels to help content creators understand which metrics can be optimized for virality and how they can be optimized including video ideas, SEO-friendly titles, and video descriptions, tags and keywords.

  • With SaaS Prompts, you can browse 500+ actionable and readymade ChatGPT AI prompt ideas to help you grow your SaaS business.

🌎 Popular Content

1. Would a dog- or cat-level AI be able to share its perspective of the world? Because that would be pretty rad. What do you think the big thing is that Yann LeCun seems to think we’re missing? (Twitter)

After all, he says that LLMs are just an off-ramp on the highway that leads to Human-level AI.

2. Meanwhile, ChatGPT recently passed Google’s Coding Interview for a Level 3 Engineer with a $183,000 salary. I’d like to see a household cat do that. Or maybe Google is secretly being run by extremely wealthy cats. You decide. Check out the story and discussion here. (Reddit)

4. Video Report (Forbes): What AI And Machine Learning Is Taking Away From Sports (YouTube)

👀 More Reading

🧠 Resources

 📅 Upcoming Events

  1. The World AI Cannes Festival (February 9-11, 2023. Cannes, France + Virtual), where decision-makers and AI innovators meet, where the most promising innovations and technologies get into the spotlight, where those who are currently building the world’s most game-changing AI strategies and use-cases will be on stages.

  2. The Gen AI Conference (February 14, 2023. San Francisco, CA) hosted by Jasper AI, is the first-ever generative AI conference. Attendees can learn about the many recent developments in the field of AI from experts and network with like-minded individuals in AI, business, and marketing. Online registration will close on February 13th at 11:59 PM Pacific Time.

  3. RE•WORK AI Summit West, Deep Learning Summit (February 15-16, 2023. San Francisco, CA), a chance to hear the latest technology advancements, practical examples of how to apply AI to solve challenges in cross-industry settings, business and society, and delve deeper into the work of leading AI experts in a series of presentations, panel discussions, interviews and fireside chats.

  4. Data Science Salon Austin (February 21-22, 2023. Austin, TX + Virtual) is a two-day 500-person conference focused on AI and machine learning applications in the enterprise. The intimate event curates data science sessions to bring industry leaders and specialists face-to-face to educate each other on innovative new solutions in artificial intelligence, machine learning, predictive analytics and acceptance around best practices.

 💼 Jobs

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