Need AI that assists rather than replaces human roles

☕️ Greetings AI aficionados! It's Wednesday, August 30th, and we're back to explore the ever-changing world of AI together. We'll sort through the newest happenings, noteworthy trends, and sharp insights that are altering both AI and the business landscape. Buckle up for an exhilarating ride ahead—let's get started!

🗞️ Today’s Highlights:

• LATEST NEWS & TRENDS — Emerging best practices for disclosing AI-generated content

• INDUSTRY | FUNCTION — The role of Generative AI in Higher ed IT

• RESOURCES — Dissociating language and thought in large language models: a cognitive perspective

• WORK — Skills gaps in AI worry executives and stall progress

• AI TOOLS — Transform your data into action: Research Studio delivers rapid, AI-powered research analysis for UX, Marketing, and Product people

• CHARTS — ChatGPT and Bard Users Are Likely to Be Men and Millennials

🤖 U.S. Adults Show Minimal Enthusiasm for AI Technologies that Supplant Human Roles. According to Morning Consult, generative AI is facing a decline in consumer trust and interest and is at a crossroads needing to improve its output reliability to rejuvenate its appeal. Consumer surveys reveal a preference for AI that assists rather than replaces human roles, complicating its adoption in sectors like customer service and healthcare. While Gen Z and millennials are the primary users, their interests in AI applications differ, signaling the necessity for a diversified approach to meet generational needs.

Source: Morning Consult (Why Generative AI Needs Another Breakthrough Moment)

🗞️ LATEST NEWS & TRENDS

1️⃣ As generative AI revolutionizes content creation, online publishers confront multifaceted choices. Beyond deciding the role of AI in content development, there's the challenge of transparently informing their audience. For organizations, balancing AI-driven efficiency with user experience is crucial; clear communication and thoughtful AI implementation are key to achieving this harmony.

Reference: (Emerging best practices for disclosing AI-generated content)

2️⃣ Enterprises positioned for AI leadership prioritize robust data architecture spanning acquisition, processing, analytics, and storage. Legacy constraints drive cloud adoption for streamlined modernization. Cloud dominates AI/ML model training (47%) and inference (44%), but hybrid strategies emerge due to diverse deployment needs. AI pioneers leverage multiple locations for training (3.2) and inference (2.5), distinct from AI explorers (2.9 and 2.3).

Reference/Source: WEKA (WEKA’s Global Trends in AI Report)

3️⃣ Generative AI’s surge in synthetic data use for training future models creates a self-consuming loop. This article examines this through advanced generative image models across three loop variations. A consistent finding emerges: insufficient fresh real data in each loop cycle leads to declining model quality or diversity—a phenomenon termed "Model Autophagy Disorder (MAD)."

Reference: (AI could choke on its own exhaust as it fills the web)

4️⃣ The growing prevalence of generative AI is driving up energy demands, intensifying the need for effective cooling systems, especially in small data centers and edge sites. As AI usage doubles, partners must recommend IT-grade cooling solutions to offset the heat generated by power-hungry AI systems. The issue extends from major cloud providers to companies hosting their own data centers, requiring precise planning in energy management.

Reference: (Hot Generative AI Market Must ‘Cool Down’)

5️⃣ According to MIT Sloan, advancements in generative AI, including text and image creation tools, offer new avenues for innovation but come fraught with legal conundrums. Regina Sam Penti, a specialist in tech law, underscores that the majority of legal disputes focus on the management and licensing of data. The legal battles range from issues with GitHub Copilot's code attribution to copyright questions surrounding AI-driven image generators like Stable Diffusion. Existing legal instruments like patents and copyrights face challenges in accommodating these emerging technologies, potentially decelerating their widespread adoption and emphasizing the importance of meticulous contractual arrangements.

Reference: (The legal issues presented by generative AI)

🗞️ INDUSTRY | FUNCTION

A recent EDUCAUSE survey reveals that 83% believe generative AI will revolutionize higher education in 3-5 years. This transformation extends from personalized learning and ethics to IT operations. When integrated with a university's private data via platforms like Elasticsearch, generative AI enables personalized, context-rich outputs. It boosts productivity, aids in resource allocation, and enhances cybersecurity. McKinsey’s generative AI guide offers steps for tech leaders, emphasizing data preparation, system scalability, and vector search for effective implementation.

Reference: (The role of generative AI in higher ed IT)

🗞️ RESOURCES

AI World - 2023 Conferences & Tracks

🤖 While large language models excel in formal linguistic competence like grammar and syntax, they fall short in functional competence, which demands abstract reasoning and cognitive abilities. Drawing from cognitive neuroscience, the review posits that true "thinking machines" would require not just linguistic mastery but a blend of other cognitive capacities to model human-like thought and understanding.

Reference: (Dissociating language and thought in large language models: a cognitive perspective)

🗞️ WORK

The growing AI skills gap poses a challenge for technology executives, with just one in five confident in their teams' AI abilities. Skillsoft's report highlights the urgency to close these gaps, as AI investment becomes a top priority for C-level leaders. Executives must upskill existing teams, align AI goals, and adapt roles to maximize AI's potential.

Reference: (SKILLS GAPS IN AI WORRY EXECUTIVES AND STALL PROGRESS, REPORT SHOWS)

🗞️ AI TOOLS

Research Studio: Transform your data into action: Research Studio delivers rapid, AI-powered research analysis for UX, Marketing, and Product people.

Avian: Interact with and analyze your business data with the Avian ChatGPT Plugin.

Zeda.io: AI-powered product discovery for customer-focused teams. Discover problems to solve for customers, decide what to build next based on actionable product intelligence, and create product strategies to drive business outcomes.

Booke: Streamline your bookkeeping with an AI-driven single app.

Hirebrain: Discover jobs with AI-powered platform. Analyze and improve your CV, and connect with the right companies faster.

Disclaimer: 1) The tool descriptions may include messaging from each tool site. 2) Please thoroughly read the site details before using and/or acquiring any of the tools listed above.

🗞️ CHART

Source: Morning Consult 

Source: Morning Consult 

Source: Morning Consult 

Data LLM - An AI Brain That Extracts Insights From Your Data

WordLift’s New Reader for LlamaIndex and LangChain

Disclaimer: The audio-visual content is courtesy of the source provided above.

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_{I'm not a newsletter expert so you might find my approach a tad different. In my daily dives into the world of AI, I handpick the latest gems, initially to support the AI projects that I’m working on. Realizing that these snippets might resonate with others, I thought, "Why not share this with my community and fellow AI enthusiasts?" I truly want this newsletter to be valuable to you so if there's anything on your mind—praises, critiques, or just a hello—please drop me a note. You can hit reply or shoot me a message directly at my email address: [email protected].}