Good morning. It’s Wednesday, November 1st.

In today’s email:

• Quora’s Poe introduces an AI chatbot creator economy

• AI can diagnose type 2 diabetes in 10 seconds from your voice

• Biden's Executive Order on AI

• News - Quick Links

• 10 New AI Tools

• Latest AI Research Papers

You read. We listen. Let us know what you think of this edition by replying to this email, or DM us on Twitter.

Quora’s Poe introduces an AI chatbot creator economy

On October 25, 2023, the Poe platform unveiled a groundbreaking monetization program for bot creators, enabling bot creators on Poe to generate revenue from their creations.

For those harboring ambitious projects, the program opens the door to establishing companies and hiring teams dedicated to bot production. This applies to both prompt bots crafted directly on Poe and server bots developed by coders.

Historically, numerous AI product demos that gained viral traction were discontinued as creators were unable to bear the costs and found the monetization process overly burdensome. This monetization program aims to rectify such issues, envisioning a flourishing economy enriched by a diverse range of AI products.

Quora's Poe offers creators financial incentives through subscription shares and per-message fees, enhancing bot-driven user engagement. Launched in February, Poe incorporates AI chatbots from leading tech firms into Quora’s vast user base. While boasting 18.4 million installs, monetization remains U.S.-exclusive. This approach enables smaller AI developers to compete, potentially strengthening Poe’s market position.

AI can diagnose type 2 diabetes in 10 seconds from your voice

A recent study spearheaded by the Mayo Clinic delved into the potential of utilizing voice analysis as a pre-screening or monitoring tool for Type 2 Diabetes Mellitus (T2DM). This exploration was rooted in identifying the distinctions in voice recordings between individuals with T2DM and those without the condition.

The study spanned from August 30, 2021, to June 30, 2022, encompassing 267 participants in India, who were categorized based on the American Diabetes Association guidelines into either nondiabetic or T2DM groups.

Through a smartphone application, participants recorded a specific phrase multiple times daily over a fortnight, culminating in 18,465 recordings. The analytical process extracted fourteen acoustic features from each recording to discern the differences and develop a predictive model for T2DM status.

Main findings of the study:

• Significant differences were observed in the voice recordings between nondiabetic and T2DM individuals, with these distinctions persisting in age and Body Mass Index (BMI)-matched samples.

• Certain acoustic features, such as pitch and intensity, showcased a high predictive accuracy for T2DM, with varying effectiveness between male and female participants.

• By integrating these acoustic features with age and BMI data, the developed predictive models attained accuracies of 0.75±0.22 for women and 0.70±0.10 for men, as verified through a 5-fold cross-validation in the age and BMI-matched sample.

• The essence of the findings hinges on the substantial vocal changes exhibited by individuals with T2DM compared to those without the condition. The acoustic features extracted from the voice recordings, particularly when amalgamated with other risk factors like age and BMI, displayed promise in predicting T2DM status.

This venture into voice analysis resonates with the broader narrative of employing non-invasive, cost-effective, and accessible means for early detection and monitoring of chronic conditions like T2DM. Such methods not only augment patient comfort but extend the reach of diagnostic and monitoring tools to remote and underserved communities, thereby fostering a more inclusive healthcare landscape.

The study surmises that voice analysis could serve as a viable prescreening or monitoring apparatus for T2DM, especially when amalgamated with other associated risk factors.

Biden's Executive Order on AI

In a long-awaited move, U.S. President Joe Biden's recent Executive Order on Artificial Intelligence is viewed by many as a substantial step towards regulating AI, especially considering the U.S. is the cradle to numerous influential companies pushing AI boundaries. The order, as experts like Lee Tiedrich of Duke University's Initiative for Science & Society commend, is a "creative" bundle of initiatives leveraging the executive branch's reach, amid the limitations of not being able to enact legislation or directly set rules.

The Executive Order builds upon previous efforts including the "Blueprint for an AI Bill of Rights" and voluntary commitments from 15 leading AI companies towards managing AI risks. This initiative occurs parallelly with significant regulatory strides globally, such as the European Union's impending AI Act and China's swiftly enacted laws on AI recommender systems and generative AI.

The order, though detailed, is outlined in a fact sheet with the full text expected soon. It discusses a range of topics from safety and security to civil rights. For instance, the National Institute of Standards and Technology (NIST) is tasked with establishing rigorous standards for red-team testing to ensure safety pre-public release of AI systems. It also addresses the need to curb algorithmic bias, which resonates with Brown University's Suresh Venkatasubramanian who appreciates the order's attempt but hopes for stronger regulation in law enforcement use of AI.

Privacy concerns, especially around biometric data, are echoed by Cynthia Rudin, a Duke University professor. While appreciating the order's ambition, she wishes for a clearer stance on biometric technologies. The order's call for Congress to enact bipartisan data privacy legislation also aligns with ongoing efforts by Senator Chuck Schumer, although its incorporation remains to be seen.

A notable aspect of the order is the directive for content authentication and watermarking to label AI-generated content, addressing the burgeoning issue of synthetic media. However, the practicality of watermarking, especially on text-based deepfakes, remains a skeptical point for Rudin.

On a broader spectrum, Susan Ariel Aaronson, a professor at George Washington University, praises the order but hopes for a more structured approach towards governing AI, highlighting the current "patchwork of principles, rules, and standards."

The Executive Order hints at a decentralized approach to AI governance, spreading responsibilities across federal agencies, each overseeing AI in their respective domains, a move appreciated by experts like Tiedrich.

This order precedes the UK's AI Safety Summit, where Vice President Kamala Harris will represent the U.S., emphasizing the nation's renewed stance on AI governance. Amid global endeavors to regulate AI, the U.S.'s latest move is a significant stride, albeit with experts and stakeholders keenly awaiting the detailed text and its subsequent implementation in a rapidly evolving AI landscape.

Technology Advancements & Product Launches

• ElevenLabs: Next-Gen AI Enterprise Speech Tech 

• IBM Launches Generative AI Coding Assistant "watsonx" for Mainframe Modernization

• Google DeepMind boss hits back at Meta AI chief over ‘feamongering’ claim

• Nvidia Trains LLM on Chip Design 

• Google DeepMind debuts new version of its AlphaFold model for researchers 

Economic & Market Forecasts

• Generative AI's economic contribution likely to rise, Goldman Sachs says

Regulatory & Governance Issues

• The Guardian rips Microsoft for distasteful generative AI poll about death

• Judge pares down artists' AI copyright lawsuit against Midjourney, Stability AI  

• An AI firm harvested billions of photos without consent. Britain is powerless to act

• Meta’s AI research head wants open-source licensing to change

Regional AI Developments & Collaborations

• Vietnam, Korea partners to promote global AI Hub

• Siemens and Microsoft partner to drive cross-industry AI adoption

• Europe's newest AI hub is being built in a German city no one's heard of

Cybersecurity & Threats 

• ChatGPT heralds "new era of cybercrime" with staggering 1265% increase in phishing emails

​Piktochart AI offers an AI-driven infographic generator, enabling easy creation of custom visuals. Users can choose templates, personalize them, and share. Ideal for marketing, press releases and more.

Chekable offers encrypted protection, semantic searches, across major patent databases, and uses GPT Technology for draft generation. Users receive free prior art reports, aiding decisions, IP protection, and connecting with professionals. Features also include infringement monitoring and patent insurance.

Hyperaide provides a platform for AI-first applications, offering instant APIs for app AI integration. Described as “Supabase for the AI layer”, it simplifies AI application creation with built-in analytics. Ideal for developers seeking rapid AI implementation.

Deep-Talk by AI consultant transforms unstructured data into actionable insights. Analyze customer and employee feedback using visual and conversational analytics. Engage with data dynamically, revolutionizing information value extraction. AI-powered, data-driven consultation.

Phot.AI offers an all-in-one AI-powered platform for photo editing and design. With tools for product photography enhancement, AI art creation, one-tap editing, and professional headshot generation, it eliminates the need for multiple subscriptions.

Speedy is an AI-driven SEO toolkit that offers personalized content, competition tracking, and integration with Google Search Console. Catering to businesses and marketers, it simplifies SEO tasks, identifies trending topics, and enhances website ranking.

Glarity offers AI-powered cross-language summarization for pages, videos, and emails. Enhancing user productivity, it aids in cross-language reading, writing, and Gmail quick replies.

LangChain Templates provides easily deployable reference architectures for GenAI applications. Partnering with AWS, Redis, and more, it offers customizable chains and agents. These templates, compatible with LangServe, enable developers to effortlessly adjust.

OmniMind offers user-friendly, low-code AI system creation. With diverse algorithm support and personal data integration, it is suitable for research, business, and enterprise needs. The platform, featuring both dark and light themes, provides versatile subscription plans and periodic content syncing.

📄 Skywork: A More Open Bilingual Foundation Model

📄 MM-VID : Advancing Video Understanding with GPT-4V(ision) ​​

📄 Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V

📄 VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

📄 CustomNet: Zero-Shot OBJECT Customization with Variable-Viewpoints in Text-To-Image Diffusion Models

📄 CAPSFUSION: Rethinking Image-Text Data at Scale

📄 SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction

📄 LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B

📄 Does GPT-4 Pass the Turing Test?

📄 Learning From Mistakes Makes LLM Better Reasoner

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