​Key Takeaways:

• Companies actively harness AI's human-like personas to captivate younger users.
• Infusing personality into AI systems directly amplifies user experience and trust.
• This AI design revolution actively reshapes human-machine interaction dynamics.

​In the quantum realm, every action has an equal and opposite reaction.

​The same principle applies to the labor market, where the ongoing writers' strike represents a futile resistance against the inevitable tide of artificial intelligence (AI).  ​

​As the world grapples with the ethical and economic implications of AI, the Screen Actors Guild‐American Federation of Television and Radio Artists (SAG-AFTRA) and the Writers Guild of America have been on strike for over three months, protesting the "widespread misuse of generative artificial intelligence" (Times Delphic).

The Quantum Leap of AI
While it was incorrect to state that all newspapers are hiring AI for journalism, the influence of AI in content creation is undeniable.

The Salesforce Study: A New Perspective

A recent study by Salesforce titled "The Future of AI and Society" reveals that AI adoption varies across generations, but the technology's potential to serve as a common language is undeniable.

​The study suggests that while older generations may be slower to adopt AI, they are not resistant to its benefits. In fact, 72% of respondents aged 55 and above believe that AI can improve society, a sentiment echoed by 85% of those aged 18-34.​

The Singularity of Remote Work: A Case Study

Another intriguing perspective comes from an article on "The Death of The Copier," which discusses the end of generational gaps through the singularity of remote work.

The article states, "ChatGPT(AI) is a linguistic program that is changing the way everything gets done, regardless of age." It further elaborates that for the first time in history, we have five generations of labor in the office, each with different mindsets and expectations.

​Yet, AI is leveling the playing field, enabling people from different age groups to collaborate more closely toward a shared objective of generating value for their respective organizations.

​Three Key Takeaways:

1. Proprietary AI language models like GPT-4 and PaLM 2 are setting new standards in quality.
2. Building your own proprietary language models is a Herculean task, often leading to subpar results.
3. Open-domain models are lagging behind, both in terms of power and adaptability.

​In a world increasingly intertwined with Artificial Intelligence, the narrative shifts from invasion to collaboration, painting a future where humans and AI co-create a harmonious symphony of progress.

While AI offers unparalleled computational prowess, it lacks the human touch of empathy and ethical reasoning, necessitating a balanced partnership.

Dive into the opportunities and challenges that lie ahead:, the alliance between man and machine remains.

​A force for good?

​In a recent episode of the Joe Rogan Experience, the co-founder of OpenAI provided a glimpse into the intricate world of large language models (LLMs), focusing on the operational mechanics of models like ChatGPT and the potential threats associated with their open-source nature. This interview uncovered key insights into the delicate balance between technological advancement and security within the realm of artificial intelligence.

​The Locked-Up Digital Brains
At the heart of the conversation lies the core mechanics of LLMs – the loading of a potent AI model onto a secure server. The metaphorical opening of the AI player allows users to type queries and receive responses, creating an interactive experience. However, what sets this technology apart is the robust security measures implemented to protect the digital brain, a creation necessitating a significant investment of $100 million.

​Lama Two and the Open Source Dilemma
Meta's unveiling of Lama Two brings forth the dilemma surrounding open-source AI models. Unlike traditional open-source software, these models are not merely insecure; they are insecureable. The interview delves into the challenges posed by open-sourcing advanced AI models, emphasizing the inability to control or prevent unauthorized modifications once the digital brain is released into the open internet.

Executive Summary 

• Futuristic contact center AI is poised to revolutionize customer experience with groundbreaking features like sentiment analysis and human-like voice bots.
• Channel partners are at a crossroads, needing to rapidly adapt and educate themselves on the transformative capabilities of AI in customer service.
• The concept of extreme personalization in customer interactions is emerging, enabled by AI and the burgeoning realm of the metaverse.​

In the digital age, staying still is the same as moving backward. Embrace the future, for it's already here," is a mantra I often find myself repeating. And nowhere is this more evident than in the realm of contact center AI.

​

• Generative AI's Revolution: The emergence of generative AI models, particularly ChatGPT and its foundational underpinnings like GPT-4, is heralding a transformative era in technology. These models are reshaping industries by offering unparalleled efficiency in cost, time, and performance, akin to the impact of the microchip or the internet.

​Executive Bullet Points:
​

• Literature Meets AI: The article delves into the transformative role of classic literature in training advanced AI algorithms, emphasizing the evolution of learning and the democratization of knowledge.
• The "Fair Use" Debate: While critics argue about the ethics of using copyrighted material for AI training, the piece posits that in the digital age, content should be viewed more as a resource than a commodity, leading to richer AI outcomes.
• ​Vision of the Future: The fusion of literary depth with AI's analytical capabilities promises a future where the boundaries between disciplines blur, ushering in unprecedented innovations and possibilities.

In the dimly lit corner of a bustling New York café, a young writer named Clara pores over a stack of books. Stephen King, Zadie Smith, Michael Pollan – the titans of literature whose words have shaped generations. Each page she turns is a testament to the power of words, the ability of mere ink on paper to evoke emotions, transport readers to distant worlds, and challenge prevailing thoughts.
​

​Executive Bullet Points:
​

• Autonomy vs. Authority: Employees desire structure without feeling their autonomy is compromised, yet many managers fail to grasp this balance.
• Data-Driven Decisions: A significant number of managers lack access to workplace data, leading them to make decisions based on gut instinct, which can result in employee resentment.
• The RTO Mismatch: While remote work offers numerous benefits, the push for a return to the office (RTO) is strong, with many companies mandating it despite employee preferences.

​Greg's Words

From the report cited in the article, "People do want structure, and people like boundaries,” former Slack CEO Stewart Butterfield told Fortune editor-in-chief Alyson Shontell last year. “But they don’t like to be told what to do, so I think the secret is to not make them feel like their autonomy is being denied or that their ideas aren’t important, while still giving some structure.” - in a word, LIE.

​Greg's Words

​I've been saying it since February, 2023: "We can't let the establishment regulate an anti-establishment tool."

Greg's Words

The new way of content and art creation is upon us and everybody is in an uproar. 

Art is a business.  But tell me, what is the harm in taking inspiration from a Van Gogh and creating a painting of Irises - on Mars?  ​

Summary

OpenAI, the creators behind ChatGPT, believe their latest GPT-4 model can efficiently moderate content, reducing the emotional strain on human moderators. However, the rise of generative AI also poses a significant threat, making misinformation more prevalent and persuasive.

​As Kate Starbird, a professor at the University of Washington, aptly puts it, generative AI functions as a "BS generator." Tech giants are now in a race against time, developing strategies to combat the challenges posed by AI-generated content.

​Executive Bullet Points:
​

• American companies are in a fierce competition to recruit top AI talent, with some offering salaries nearing seven figures.
• The demand for AI specialists is outstripping supply, especially for midlevel and senior positions, leading to a surge in compensation.
• Companies are exploring various strategies, from high salaries and bonuses to acquisitions of AI startups, to secure the best talent in the field.

​Summary: American firms are fervently scouting for AI talent, with some even willing to offer salaries close to a million dollars. Industries ranging from entertainment to manufacturing are vying for data scientists and machine-learning experts. This intense competition has escalated pay scales and made companies refine their recruitment strategies.

​While some, like Accenture, are focusing on individual hires and internal training, others like ServiceNow are considering acquisitions of AI startups. Compensation has become a major differentiator, with companies like Hinge and Upwork advertising VP roles in AI with salaries exceeding $300,000. However, the challenge remains that AI talent is in demand across various sectors, making the recruitment process even more competitive. "Everybody's hiring," notes Lan Guan, Accenture's Chief AI Officer.