What will it mean to be a “Human Being” in 2100?

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4:05 Minutes The average reading duration of this insightful report.

Break the box

Break the box: Break the box series is our most disruptive thinking that is at the intersection of technology, business and philosophy.

By Arvind Ravishunkar

What will it mean to be a “Human Being” in 2100?

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Explore ten breakthrough technologies poised to redefine human existence, from gene editing and AI to Mars journeys and mind uploading, reshaping our future in unimaginable ways. Dive into this evolution now.

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What’s inside

  1. Tracing technology’s evolution: Stone Age to AI.
  2. Analyzing breakthroughs: Gene editing to Martian living.
  3. Redefining humanity: From enhancement to evolution.

The value for you as an enterprise leader

This is the most important question that we will have to answer in this century.

In the last few million years, technology (from stone age tools to computers) has been an enabler for us to lead better lives (i.e lifestyles) and have improved life spans (i.e health). While some technologies have made their way into the human body such as pacemakers, metallic joints, hip replacements, knee replacements, cataracts, etc, most of these technologies have been incremental changes that fix us. Download Complete Research

So far, technology has influenced lifestyle, but going forward, technology will shape the definition of a human being.

In the last few years, a suite of new technology breakthroughs are emerging that are going to raise some important questions about how humans will evolve. These technologies are not just enablers but fundamental game changers that will modify what it means to be a human being. They can lead to stronger, faster, more intelligent, more agile and non-terrestrial humans. While some of these technologies exist, some are conceptual.

With gene editing, mind uploading, exoskeletons, general artificial intelligence, non-biological reproduction and martian living, the definition of what it means to be human will be a leading question in this century.

Here we capture 10 such technologies that you will want to keep your eyes on

  1. Gene editing (CRISPR)
  2. General artificial intelligence (AGI)
  3. Exoskeletons
  4. Neuralink
  5. Mind Uploading with Nectome (Y Combinator)
  6. Journey to Mars
  7. Mind-Mind Communication
  8. 3d Printing Organs
  9. Ectolife
  10. Living Robots

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Credits
Authors@lab45: Arvind Ravishunkar

Latest stories

Generative AI vs. human creativity: A dystopian future or a utopian dream?

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7:12 Minutes The average duration of a captivating reports.

Break the box

Break the box: Break the box series is our most disruptive thinking that is at the intersection of technology, business and philosophy.

By Nagendra Singh

Generative AI vs. human creativity: A dystopian future or a utopian dream?

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Dive into the intriguing intersection of AI and human creativity, where generative AI reshapes artistic expression and raises critical questions about its impact on our creative evolution and cultural landscapes.

What's inside

  1. Examining AI's influence on human creativity and artistry.
  2. Analyzing generative AI's role in cultural evolution.
  3. Exploring human-machine collaboration in creative processes.

The creative essence and the AI paradox

Human progress and evolution have been fundamentally driven by creativity and diverse thought, fostering vibrant cultures and shaping societal values. Creativity, serving as a catalyst for innovation and discovery, allows us to transcend conventional boundaries. However, the integration of Generative AI (Gen-AI) in our lives brings a critical concern: could it enforce creators' biases and limit human originality, steering us towards uniformity in thought and progress? The reliance on Gen-AI potentially risks ceding control over our ideas and thoughts to AI, posing a threat to our societal evolution and the richness of human creativity. Download Complete Research

Can machines truly create like humans?

Creativity, a hallmark of human uniqueness, encompasses the generation of inspiring and innovative ideas across various domains like language, music, art, and literature. It's deeply rooted in human intuition, experience, and consciousness, allowing for the creation of meaningful, emotionally resonant works. The emergence of generative AI tools, however, has sparked debate over their impact on human creativity. These AI systems, lacking human emotions and motivations, face limitations in replicating the depth and authenticity of human creative expression. This technological advance prompts a critical inquiry into the future of human societies and creativity in an AI-dominated era, raising concerns about potential shifts towards a one-dimensional societal and creative landscape. Download Complete Research

The intersection of Gen-AI and human creativity: Exploring the boundaries of music creation

Music, a profound expression of human emotion and creativity, transcends mere words, connecting deeply with the soul. Historically, musicians have infused their unique experiences into creating emotionally rich and impactful music. With the advent of Generative AI, such as Amper Music, the landscape of music creation is evolving, offering the ability to produce complex, bias-free compositions. However, this technological advancement raises significant concerns. Overreliance on AI in music may lead to a loss of personal artistic voice and emotional depth, potentially resulting in music that, while technically proficient, lacks the soulful essence that defines human creativity. This development in AI challenges our understanding of creativity and its role in human expression, questioning the true nature and future of art in the AI era. Download Complete Research

Limitations of using human feedback for AI-generated music

Generative AI, utilizing Reinforcement Learning with Human Feedback (RLHF), crafts music based on user preferences. This approach, while seemingly innovative, risks diluting the authentic, soul-driven creativity of musicians. Platforms like Spotify, leveraging user data to guide music creation, inadvertently promote a feedback loop that may constrain the multi-dimensional nature of music to a unidimensional, trend-driven form. This trend-centric approach can stifle the unique, deeply emotional, and complex expression inherent in human-composed music. By prioritizing popularity and trends over the intrinsic creative impulse, AI in music creation potentially impedes the evolution of genuine artistic expression and, by extension, cultural and human evolution. The reliance on AI for music creation underscores a crucial debate: the balance between technological innovation and preserving the unfiltered essence of human creativity. Download Complete Research

The constrictive nature of generative AI in the journey of human evolution

Generative AI tools are reshaping our approach to self-discovery and creative exploration. Traditional experiences, like exploring a bookstore's diverse offerings, are contrasted with AI-driven online recommendations that often confine users to their past preferences, narrowing their exposure to new ideas and genres. This constrained exploration can potentially limit human creativity and innovation. The rise of AI, while offering democratized access to creative tools, also risks diminishing our imaginative capabilities by fostering dependencies. To harness AI's full potential without undermining human creativity, a balanced, collaborative approach is essential. Combining human intuition, experience, and innovation with AI's capabilities can lead to empowered, enriched creative processes. Emphasizing the need to maintain human creativity at the forefront, the article advocates for using AI as a complementary tool, enhancing rather than replacing human creativity and imagination. Download Complete Research

Credits
Author@lab45: Nagendra Singh

Top trending insights

Foundational AI models and preserving diversity

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5:12 Minutes The average duration of a captivating reports.

Break the box

Break the box: Break the box series is our most disruptive thinking that is at the intersection of technology, business and philosophy.

By Arvind Ravishunkar

Foundational AI models and preserving diversity

Access full article and
ignite inspiration within

Download Break the Box

Explore the intricate dance of genetic diversity and the power of thought in shaping human evolution. Discover how these fundamental elements intertwine, driving our progress for millions of years, and ponder the future role of AI in this evolutionary journey.

What's inside

  1. Exploring the role of genetics in evolutionary diversity.
  2. The impact of thought diversity on human progress.
  3. AI's potential influence on future evolutionary paths.

Genetic diversity

Genetic diversity is the cornerstone of evolution, with each organism's unique genetic makeup contributing to a myriad of evolutionary outcomes. Natural selection streamlines these variations, a process highlighted by Charles Darwin, underscoring the endless possibilities in evolutionary biology. Download Complete Research

Thought diversity

Thought diversity has emerged as a key evolutionary force, complementing physical genetics. It encompasses our cognitive abilities, emotions, and environmental interactions, leading to diverse human experiences and advancements in various fields like mathematics, literature, and music. This mental attribute significantly shapes our societal evolution. Download Complete Research

Preserving diversity

As we integrate foundational AI models into the fabric of society, it is important to ensure that a limited set of thought processes are not standardized. Diversity in foundational models through the diversity of training scenarios that account for diversity in logic, emotions, race, gender, age, morals, likes, dislikes, etc. is critical. Diversity in foundational models is as important to evolution as diversity in human thinking.

While genetics and thought played an important role in our evolution, what attribute will play an equivalent role in AI of the future? Download Complete Research

Credits
Authors@lab45: Arvind Ravishunkar

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