Moonlighting is back

☕️ Greetings AI enthusiasts! It's Thursday, September 14th. Welcome back to our daily dive into the AI landscape. We'll navigate the latest updates, trends, and insights from the AI and the business world. Let's begin!

🤖 Moonlighting in tech has long been a hot-button issue, its necessity spurred by economic struggles and the rise of workplace AI. Yet, it's a double-edged sword. While earning extra income and skill-building are upsides, they can erode commitment to one's primary job. The advent of AI has both streamlined moonlighting tasks and, ironically, could spell its decline by rendering some skills obsolete and jobs unattractive for part-time work. Employers should engage in candid conversations with staff about secondary gigs, aiming for a solution beneficial to both parties.

Reference: (Moonlighting Is Back. AI Could Change That)

🗞️ Today’s Highlights:

• LATEST NEWS & TRENDS — Generative AI exists because of the transformer

• INDUSTRY | FUNCTION — AI and the evolution of PropTech

• RESOURCES — A Collection of Awesome Generative AI Applications

• WORK — The Future of AI: Top Skills to Have in a Generative AI World

• AI TOOLS — Spectiva: Your AI Business Coach

• CHARTS — How Generative AI Will Transform HR

🗞️ LATEST NEWS & TRENDS

1️⃣ Large Language Models (LLMs) like GPT-4 are changing the game in various industries, thanks to their underlying transformer technology. These computational powerhouses are not only reshaping media, finance, and legal sectors but also pose a tangible threat to human labor. Originated by Google, transformers harness self-attention mechanisms to grasp linguistic nuances in real-time. Despite their advantages, these LLMs aren't flawless, as they can generate inaccurate or even hallucinated data, presenting an ongoing challenge to make them more grounded and reliable.

Reference/Source: Financial Times (Generative AI exists because of the transformer)

2️⃣ Computer science educators at a university are wrestling with the rising allure of generative AI among students. While sentiment varies, a faculty retreat revealed a tentative openness to AI for open-ended assignments, but not for exams. Guidelines from a specially formed GENAI Task Force advocate for transparent syllabus policies. Some educators, like Will McBurney, worry AI could shortcut foundational learning, whereas others, like Elizabeth Orrico, see it as another tool in the educational arsenal. Student Clara Xin finds AI beneficial for understanding complex subjects and troubleshooting.

Reference: (Computer science classes grapple with the presence of generative AI)

3️⃣ GenAI is still in its early stages, offering more sizzle than steak. Its phrase-predicting prowess doesn't equate to true intelligence or adaptability. The legal landscape is tumultuous, marked by copyright and defamation suits. Additionally, bias in training data magnifies ethical dilemmas, and energy consumption issues could worsen with adoption. As generative AI navigates these challenges, it's crucial to separate the glitter from the gold and strive for accountable, ethical advancements.

Reference: (Generative AI Technologies: Now and in the Future)

4️⃣ OpenAI's ChatGPT Enterprise is not your garden-variety chatbot; it's a seismic shift in AI for business. Unlike its consumer version, the enterprise-grade features tackle concerns of data privacy and extend to new areas like advanced data analysis. Despite these strides, there's still a thicket of ethical and legal complications. Yet, its rapid adoption by Fortune 500 companies signals a transformation not just in AI but also in the future of business operations.

Reference: (How ChatGPT Enterprise Addresses Key Concerns in Generative AI)

5️⃣ GenAI is experiencing rapid adoption in academia, offering valuable support for tasks from brainstorming to editing. However, its use sparks ethical quandaries around originality and accountability. Transparency is non-negotiable; disclosing AI's role in research is essential. It's crucial to remember that while AI can be a potent assistant, it lacks moral and logical reasoning. Human oversight remains indispensable, not just for ethical compliance but for the sake of quality and factual integrity. We're at an inflection point—navigating these ethical mazes with caution is imperative.

Reference: (Best Practices for Generative AI in Research)

🗞️ INDUSTRY | FUNCTION

AI's influence on real estate is not a revolution but an evolutionary leap, building on an industry already digitally transformed through property management software and other proptech solutions. Key players and researchers assert that AI has unparalleled capabilities in data analysis, enabling more personalized services and decision-making. Yet, it's not all rosy. With AI's legal framework lagging, there are legitimate cybersecurity concerns. Despite recent slowdowns in funding, there's broad optimism, especially given notable early adopters reaping staggering ROI and efficiency gains. A mindful approach to AI's implementation can maximize its potential while mitigating risks.

Reference: (AI and the evolution of PropTech)

🗞️ RESOURCES

GitHub: The Generative AI Landscape - A Collection of Awesome Generative AI Applications

Topics

awesome — ai — artificial-intelligence — generative-text —collections — generative-art — software-development — awesome-list — assistive-technology — assistant-chat-bots — generative-music — generative-testing — generative-design

Source: kerbelp

🗞️ WORK

GenAI isn't just automating traditional jobs, it's reshaping skill sets essential for the modern workforce. The ability to prompt AI effectively, coupled with digital literacy, are the new building blocks. But let's not overlook AI ethics and cybersecurity. The most invaluable skills, however, remain uniquely human—critical thinking, creativity, and emotional intelligence. Goldman Sachs warns of massive job losses, but the AI era also offers a promise: a productivity surge that could reshape global economics. Are you AI-ready? Let's redefine employability in this transformative landscape.

1. AI-Prompting Skills: The art of instructing AI to generate desired outputs effectively and efficiently.

2. Digital Literacy: The ability to navigate the digital world, discerning what AI can or cannot achieve for specific industries.

3. Awareness of Cybersecurity and AI Ethics: Being vigilant about vulnerabilities and ethical quandaries posed by AI.

4. Critical Thinking: The skill to scrutinize AI outputs, discern factual inaccuracies, and decide what tasks should be human-led.

5. Creativity: Going beyond algorithmic thinking to invent solutions or products that AI alone can't conceive.

6. Interpersonal Skills: The irreplaceable quality of human empathy, vital for building genuine relationships in a business landscape.

7. Capacity to Learn in an AI Age: The willingness to continually adapt, acquiring new skills in a rapidly evolving technological ecosystem.

Reference: (The Future of AI: Top Skills to Have in a Generative AI World)

🗞️ AI TOOLS

🔧 Spectiva: Your AI Business Coach

🔧 Memedaddy: AI-generated memes for any occasion

🔧 Copilot2trip: Craft perfect itineraries with interactive maps, get real-time recommendations and enjoy adaptive travel experiences

🔧 Supercharge: Your Sales & book new revenue with AI

🔧 Released: AI release notes powered by Jira

Disclaimer: 1) The tool descriptions are from the company behind each tool/app. 2) Please read the site details thoroughly before using and/or acquiring any of the tools listed above. We have not tested these tools and we will not be liable for anything.

🗞️ CHARTS

 👀 GenAI is revolutionizing HR, transforming it from an administrative function to a strategic linchpin within organizations. By aggregating and interpreting vast sets of data, GenAI not only enhances employee engagement and productivity but also provides a visionary road map for talent management. As HR departments embrace this technology, they become role models in implementing AI across business operations. It's a seismic shift—HR moves from being a mere enabler to a key player in driving organizational transformation. But proceed with caution: ethical and legal considerations around GenAI are paramount. 

Reference/Source: BCG (How Generative AI Will Transform HR)

Image credit and source: BCG

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].}