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☕️ Greetings, and welcome to my daily dive into the Generative AI landscape.
I’m evolving this newsletter to ensure you, as a valued reader, eagerly anticipate opening it daily for valuable insights that keep you updated on Generative AI. My goal is to streamline its content, making it a concise, under-five-minute read. For those interested in deeper dives, I’ll provide references for extended reading. Most of this content springs from my ongoing research and development projects at INVENEW.
Today’s issue covers the following:
How To Build Your Own Custom ChatGPT Bot
Year-in-Review: GenAI Exposed Silicon Valley Chip Antiquity
AI in Intimate Roles: Girlfriends and Therapists
5 Rare Data Science Skills That Can Help You Get Employed
And more.
🔔 Please forward this newsletter to your friends and team members and invite them to join. This will help me grow my reach. Thanks, Qamar.
♨️ Prompt Engineer
Prompt engineering in generative AI has emerged as a highly coveted profession. This unique role fuses diverse skills: AI knowledge, programming expertise, linguistic acuity, problem-solving capabilities, and an artistic touch. Prompt engineers command higher salaries and are in high demand due to their rare blend of talents.
Despite the attractive pay, the scarcity of seasoned prompt engineers poses a significant challenge. The field's novelty means most practitioners have only a few years of experience. Unlike typical coding or development roles, prompt engineering demands a comprehensive understanding of business contexts and user needs, necessitating creativity and technical savvy.
Interestingly, this role is not confined to tech-savvy individuals. It's attracting professionals from varied fields, including writers and business experts, underscoring its interdisciplinary nature. This trend highlights the evolving landscape of AI and the emergence of specialized roles, shaping the future trajectory of AI professions.
📈 TRENDS
AI in Intimate Roles: Girlfriends and Therapists
The relationship between artificial intelligence (AI) and human intimacy is a complex and controversial subject, with significant implications in today's technologically advanced society. AI's rapid development in understanding and reacting to human emotions, known as Emotion AI or affective computing, raises ethical and psychological questions about its role in personal and intimate settings. This includes its potential use as AI companions or partners, which could impact social interactions and mental health. However, AI also offers positive aspects, such as providing support for those feeling lonely or isolated and supplementing mental health therapies.
Key Points:
Emotion AI, utilizing tools like natural language processing and sentiment analysis, aims to understand human emotions for applications in therapy and mental health diagnosis.
The market for Emotion AI is expected to grow significantly, reflecting its potential impact across various sectors.
AI partners and companions, while offering temporary benefits and support for loneliness, raise concerns about further social alienation and changes in social behavior.
AI companions could be beneficial for individuals needing social interaction and emotional support, particularly those with anxiety or limited time for human relationships.
AI therapists and mental health coaches are emerging, leveraging affective computing for around-the-clock emotional support and counseling.
AI therapy shows promise for mild mental health issues but remains less effective for severe conditions, and concerns about accuracy, privacy, and ethical implications persist.
While AI can supplement human-to-human therapy, it is unlikely to replace the need for human therapists, particularly in complex mental health scenarios.
Reference: KD Nuggets (2023). AI in Intimate Roles: Girlfriends and Therapists
🗞️ IN THE NEWS
Year-in-Review: GenAI Exposed Silicon Valley Chip Antiquity: For decades, Intel and AMD have been the aristocracy of chip makers, but the emergence of ChatGPT is rousting them The post Year-in-Review: GenAI Exposed Silicon Valley Chip Antiquity appeared first on The New Stack. Read more at thenewstack.io.
Big IT Challenges Australia Needs to Address in 2024 to Seize the AI Moment: The continued rise of AI in 2024 will require IT to overcome significant challenges, including prioritising competing projects, building a data culture, finding talent and winning more investment in innovation. Read more at www.techrepublic.com.
Grimes Is Working On Her Own AI That's Also Named Grok, Just Like Elon's AI: In a bizarre twist that we didn't see coming, Claire "Grimes" Boucher is teaming up with Silicon Valley toy startup Curio to bring an OpenAI-powered line of toys to market called Grok, the Washington Post reports. The name in particular is odd, considering Boucher's ex and father of three of her children Elon Musk also […] Read more at futurism.com.
AI in the Music Industry: How Will It Shape the Music Metaverse and Sounds of the Future?: AI has already revolutionized the music industry. AI-generation tools allow creators to generate royalty-free music, and generative AI streaming products offer never-ending mood-based playlists for users to enjoy. AI-generated songs using “soundalikes” and well-known songs of popular artists being sung in the AI voice of another have been a hot topic in the news for two reasons. Read more at www.unite.ai
Imran Khan deploys AI clone to campaign from behind bars in Pakistan: PTI party uses ‘voice clone’ of imprisoned opposition leader to give an impassioned speech in a virtual rally. Artificial intelligence allowed Pakistan’s former prime minister Imran Khan to campaign from behind bars on Monday. Read more at www.theguardian.com.
🔦 INDUSTRY SPOTLIGHT
Q&A: Sedgwick exec lays out 'the baby steps to genAI adoption': Sedgwick, a third-party insurance claims management provider operating in 80 countries, receives about 1.7 million pages of digital claims-related documents a day. The documents then go through an arduous vetting process by examiners who must decide whether they're valid and how they should be handled. One claim can take weeks to adjudicate. In April, Sedgwick unveiled a generative artificial intelligence (genAI) tool called Sidekick to help with document summarization, data classification, and analysis. Sidekick uses OpenAI's GPT-4, giving the company "an unlimited number of large language models to be created for varying purposes." Read more at www.computerworld.com.
🧰 TOOLS & APPS
How To Build Your Own Custom ChatGPT Bot: There’s something new and powerful for ChatGPT users to play around with: Custom GPTs. These bespoke bots are essentially more focused, more specific versions of the main ChatGPT model, enabling you to build something for a particular purpose without using any coding or advanced knowledge of artificial intelligence. Read more at gizmodo.com.
LucidDreamer: High-Fidelity Text-to-3D Generation via Interval Score Matching: The recent advancements in text-to-3D generative AI frameworks have marked a significant milestone in generative models. They pave the way for new possibilities in creating 3D assets across numerous real-world scenarios. Digital 3D assets now hold an indispensable place in our digital presence, enabling comprehensive visualization and interaction with complex environments and objects that mirror […] Read more at www.unite.ai.
👩💻👨💻 SKILLS & CAREERS
Mastering machine learning decision trees is a basic skill for today's data scientists, but it's insufficient for standing out in the competitive job market. Employers now seek more than coding proficiency; they value a deeper conceptual understanding and skills like data governance, ethics, and feature engineering. These additional competencies, alongside abilities in model visualization and marketing, are essential for data scientists to differentiate themselves and improve their employability in a field increasingly influenced by AI tools like ChatGPT.
Reference: KD Nuggets (2023) 5 Rare Data Science Skills That Can Help You Get Employed
👩💻👨💻 WORKPLACE
A new survey shows that leaders are all in on AI: The new survey by Morning Consult, commissioned by Zoom, reveals the "collaboration paradox" in digitally connected workplaces. Despite technological advancements, many workers, especially leaders, find themselves burdened with administrative tasks, hindering productivity. This survey of over 11,000 leaders and employees highlights the impact of generative AI in improving collaboration and time management.
Collaboration Paradox: A significant portion of work time is consumed by administrative tasks, affecting leaders more than employees.
Time Management Challenges: Over 70% of leaders frequently engage in time-consuming tasks like updates and note-sharing.
Long Working Hours: 67% of leaders often work more than 8 hours a day, desiring time for better process development.
AI Adoption and Time Savings: AI tools are reported to save significant time, particularly for leaders.
Awareness Gap: Non-users of AI underestimate the potential time savings, indicating an opportunity for increased adoption.
Differing Sentiments: Leaders are more enthusiastic and frequent users of AI compared to employees, who express concerns over job security and data accuracy.
Global Perspectives and Adoption Barriers: The full report offers detailed insights into regional attitudes and challenges in AI adoption. Read more at ZOOM.
📚LEARNING
Use Amazon DocumentDB to build no-code machine learning solutions in Amazon SageMaker Canvas: We are excited to announce the launch of Amazon DocumentDB (with MongoDB compatibility) integration with Amazon SageMaker Canvas, allowing Amazon DocumentDB customers to build and use generative AI and machine learning (ML) solutions without writing code. Amazon DocumentDB is a fully managed native JSON document database that makes it straightforward and cost-effective to operate critical […] Read more at aws.amazon.com.
💡 IDEAS
4 ways to overcome your biggest worries about generative AI: Generative AI might seem like magic, but you need to be aware of the pitfalls. Four business leaders explain how you can deal with the risks.
Read more at www.zdnet.com.
🧠 INTERVIEW
Nora Petrova, Machine Learning Engineer & AI Consultant at Prolific – Interview Series: Nora Petrova, is a Machine Learning Engineer & AI Consultant at Prolific. Prolific was founded in 2014 and already counts organizations like Google, Stanford University, the University of Oxford, King’s College London and the European Commission among its customers, using its network of participants to test new products, train AI systems in areas like eye tracking […] Read more at www.unite.ai.
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