AI Literacy and the New Jobs

☕️ Greetings! It's Thursday, September 28th. Welcome back to my daily dive into the AI world.

!? Why AI Literacy Could Determine Your Next Career Move?

AI literacy is becoming a pivotal factor in job market competitiveness, transcending tech domains due to AI's expansive potential. Companies, valuing efficiency, now necessitate AI understanding, integrating it for enhanced productivity. Examples include WPP's partnership with Nvidia and Farfetch's utilization of ChatGPT. Moreover, jobs in prompt engineering, not requiring specific tech backgrounds, offer lucrative salaries. Amidst this shift, a notable portion of US adults remain hesitant, although a significant majority acknowledge a need to learn about AI, underscoring AI's evolving role in the workforce landscape. Read more here.

📣 ChatGPT "Browse with Bing" plugin feature is available again

🗞️ Today’s Highlights:

• LATEST NEWS & TRENDS — 10 Ways Funders Can Address Generative AI Now

• INDUSTRY | FUNCTION — Generative design and the protection of products

• RESOURCES — 5 key areas where generative AI can help dissolve business roadblocks

• WORK — Gen AI could transform work; boosting productivity and democratising innovation

• AI TOOLS — Elto: AI that talks on the phone.

• CHARTS — The Exponential Growth in AI Computation

🗞️ LATEST NEWS & TRENDS

1️⃣ The advent of generative AI, heralded by OpenAI's GPT-4, has blindsided even the most forward-thinking funders. Traditionally focused on long-term AI risks and societal benefits, they now face an urgent shift in priorities. Generative AI presents immediate risks and remarkable opportunities that can't be put on the back burner. Funders must pivot, helping tech nonprofits and policy groups enhance their ability to handle this new landscape. It's no longer about future-proofing; it's about making the right moves, right now.

1. Understanding, and developing guidelines and guardrails for, government use of AI.

2. Building government (and civil society) capacity to use AI.

3. Transparency and data access.

4. Advocacy for research funding.

5. Formal collaborative institutions.

6. Informing voluntary industry best practices and codes of conduct.

7. Advocating for new models for AI in the public interest.

8. Building government and civil society capacity to govern AI

9. Developing new legal theory.

10. Informing narrative change.

Reference/Source: Stanford (10 Ways Funders Can Address Generative AI Now)

2️⃣ Generative AI holds promise in transforming public sector services, mirroring private sector strides. By automating mundane tasks like DMV appointments or translating languages, GenAI aims to enhance government-citizen interaction, addressing citizen pain points. Commercial entities have showcased its efficacy; it’s time the public sector fully leverages GenAI's potential to offer better digital services, ensuring both accessibility and data protection, thus fostering a more trusting and efficient government-citizen relationship.

Reference: (Is AI the Answer to a Better Government Experience?)

3️⃣ Intellectual property theft isn't just a symptom of society's growing disregard for human authorship; it's an issue magnified by corporate profiteering, often going unchecked by lawmakers. For a future where tech innovation flourishes equitably, we must eradicate these detrimental systems. Clear-cut regulations focusing on proper authorization, fair remuneration, and transparency are imperative. Otherwise, we're not just compromising ethics; we're laying the groundwork for an AI-driven future mired in exploitation and banditry.

Reference: (The success of Generative AI in the book sector is based on theft)

4️⃣ In the wake of AI’s educational incursion, key stakeholders aren't just sitting idle. UNESCO has rolled out the inaugural global guidance for generative AI in education, seeking to ensure learner-centric, equitable practices. Complementing this, the World Economic Forum offers the Presidio Recommendations, touching on socially responsible tech development. As we edge into the 2023-24 academic year, schools are pivoting, not just from pandemic woes but also towards setting governance frameworks for AI, a technology once viewed skeptically but now increasingly seen as a learning catalyst.

Reference: (Generative AI has disrupted education. Here’s how it can be used for good – UNESCO)

5️⃣ Gen Z is grappling with FOBO—the fear of becoming obsolete—in the age of generative AI (gen AI), according to a recent Gallup survey. As companies race to implement gen AI, the technology's future potential stokes concerns among Gen Z about job obsolescence. While initial impacts of automation affected low-skilled jobs, gen AI is expected to disrupt higher-wage, college-educated roles. However, embracing gen AI skills could give Gen Z an advantage, offsetting fears and possibly creating new professional opportunities.

Reference: (Do you have FOBO?)

🗞️ INDUSTRY | FUNCTION

Generative design is revolutionizing traditional design methodologies by using AI to create unique and complex forms based on predefined rules and parameters. This innovative approach offers significant advantages such as speeding up R&D, enabling intricate structures, and enhancing customization across various industries. When paired with 3D printing, the implications for manufacturing are transformative. However, the legal landscape concerning protection via design or model registration is murky, posing challenges in proving novelty and adequately representing intricate designs.

Reference: (Generative design and the protection of products)

🗞️ RESOURCES

Generative AI offers a pragmatic solution to common business hindrances by either addressing them directly or serving as a creative catalyst. Here are five sectors where it shines:

1. Meeting Management: By transcribing discussions and summarizing key points, AI tools like those embedded in Zoom or Google Meet streamline post-meeting catch-ups and ensure continuity even when key personnel are absent.

2. Handling Information Overload: AI-driven applications like Notion or Google's NotebookLM filter through the data deluge, spotlighting actionable items and aiding in decision-making.

3. Overcoming Creative Blockages: With AI, marketing and design professionals can surmount creative hurdles. Tools like Copy.ai or Adobe's generative features in Creative Cloud aid in initial drafts or designs, accelerating project timelines.

4. Drafting Challenging Emails: AI facilitates communication in tricky scenarios. Google's Duet AI in Gmail and chatbots like ChatGPT provide a foundation for crafting sensitive messages, easing the initiation of difficult conversations.

5. Tackling Coding Challenges: Generative AI, exemplified by GitHub's Copilot, augments coding processes by proposing code snippets, thus hastening problem-solving, and enhancing code quality over time.

Generative AI is steadily becoming a business staple, mitigating traditional roadblocks and fostering a conducive environment for innovation and productivity.

Reference: (5 key areas where generative AI can help dissolve business roadblocks)

🗞️ WORK

Professor Ian Goldin and Dr. Pantelis Koutroumpis from Oxford Martin School offer a nuanced look at Generative AI. They argue it's a potent force for solving global challenges, but also poses threats like job loss and societal inequalities. The team outlines growth areas such as supply chains and machine learning, but warns of issues like data bias and intellectual property risks. The report underscores an 'AI Arms Race,' emphasizing the urgency for robust regulatory frameworks to balance rewards and risks.

Reference: (Generative AI could transform work; boosting productivity and democratising innovation)

🗞️ AI TOOLS

🔧 Elto: AI that talks on the phone.

🔧 Automorphic: Infuse knowledge into language models with just 10 samples.

🔧 Tactic: Generate insights from any document, anywhere. Save time and make smarter decisions by automating research, analysis and action with Tactic.

🔧 Lily: Meet Lily, your AI therapist. Confidential help. Anywhere, anytime.

🔧 Singify: Explore a vast library of 100+ AI voice models and create song covers with your favorite AI vocals in just one click. Spark your imaginative flair and ignite your passion for music creation.

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

 👀 The growth of AI computation has been staggering, progressing through three eras defined by distinct computational benchmarks. Starting modestly in the 1950s, AI compute adhered to Moore's Law until the rise of deep learning in 2012. This ushered in dramatically shortened compute-doubling timelines. Large-scale models like Minerva, requiring computational power nearly 6 million times greater than AlexNet just a decade ago, indicate an astonishing rate of advance. Yet, it's uncertain if this pace will continue, as increased funding and innovation must sustain computational growth to prevent AI stagnation.

Source/Credit: (The Exponential Growth in AI Computation) 

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].}