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The sentient silicon revolution (Part 1 of 2)

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By Alex Hong

· 10 min read


1. Introduction: Confronting the Computational Conundrum

Artificial intelligence's (AI) rapid development has spurred a wave of innovation that is changing sectors and pushing the limits of human potential. With impressive feats of linguistic dexterity and problem-solving ability, large language models (LLMs) like GPT-4 can produce prose of human quality, translate languages, write various forms of creative material, and provide you with helpful answers to your concerns.

But this advancement comes at a high price. The enormous energy requirements for developing and implementing these enormous AI models put a tremendous burden on the already limited resources of our world. The digital age's central hub, data centres, are growing more and more unsustainable, greatly increasing carbon emissions worldwide and escalating the climate problem.

In this light, Organoid Intelligence (OI) becomes more than just a new technology; it is a promising sign of a sustainable future. OI promises to transform computing with previously unheard-of energy efficiency and possibly even higher processing capacity than conventional silicon-based systems by utilising the innate computational ability of brain organoids, which are three-dimensional cultures of human brain cells. With an emphasis on OI's potential to transform ASEAN's technological landscape, tackle the urgent energy issues of the AI era, and traverse the uncharted ethical waters of biocomputing, this essay delves deeply into the complex ramifications of OI.

2. The Genesis of Organoid Intelligence: From Petri Dish to Paradigm Shift

OI has its roots at the intersection of multiple scientific fields, such as tissue engineering, neurobiology, and stem cell research. New horizons in computing and health have been made possible by the capacity to grow human brain cells in three-dimensional cultures, creating organoids that closely resemble the structure and function of the brain.

2.1 A Historical Odyssey

Early 20th Century: Tissue culture is made possible by Ross Granville Harrison's groundbreaking research, which allows researchers to cultivate cells outside of the body and see how they behave in a controlled setting.
Mid-20th Century: The production of brain organoids is made possible by developments in stem cell biology and neural development, such as the identification of neural stem cells and our growing knowledge of their capacity for differentiation.
2008: By creating the first cerebral organoids from embryonic stem cells, Yoshiki Sasai's lab reaches a revolutionary milestone that creates new avenues for research into brain development and illness.
2010s: By improving their methods, scientists are able to produce organoids that are more and more complex, resembling the human brain in terms of cell kinds, organisation, and functionality.
2019: When the phrase "Organoid Intelligence" is created, a new discipline devoted to using brain organoids' computational capabilities and investigating their possible uses in biocomputing is born.
2022: To further pique interest in organoids' possibilities in computing, Cortical Labs presents "DishBrain," a system that teaches a brain organoid to play the video game Pong. This system displays the learning capacity and real-time interaction capabilities of organoids.

2.2 Current Medical Applications: A Glimpse of OI's Potential

While OI is still in its nascent stages, it has already demonstrated remarkable potential in medical research and development:

Disease Modelling: For the study of a variety of neurological conditions, such as schizophrenia, epilepsy, Parkinson's disease, Alzheimer's disease, and autism spectrum disorder, brain organoids offer invaluable models. In a system that is relevant to humans, these "mini-brains" enable researchers to test possible treatments, look into the causes of diseases, and create customised medicines.
Drug Development: Organoids are being used more and more to test medications for toxicity and efficacy, which could lessen the need for animal models and speed up the creation of novel treatments. By lowering the possibility of negative reactions and increasing the effectiveness of drug development pipelines, this method may result in more precise forecasts of how drugs will affect people.
Personalized Medicine: OI may make it possible to develop individualised therapies based on the genetic and cellular characteristics of each patient, resulting in more focused and efficient medical care. Researchers can investigate each patient's distinct illness characteristics and create individualised therapy plans by cultivating organoids from the patient's own cells.

3. Organic Computing: Reimagining the Future of Data Centres

The emergence of AI and the exponential expansion of data have put computing infrastructure under previously unheard-of strain. Relying on silicon-based technology, traditional data centres are finding it difficult to stay up in terms of processing power and energy efficiency. A potential answer to this problem is provided by organic data centres, which are driven by OI and promise to revolutionise information processing and fuel the digital era.

3.1 The Looming Energy Crisis of AI

Data centre energy use is a developing issue that has important ramifications for international sustainability initiatives. Data centres are thought to be responsible for about 1% of the world's electricity usage, according to a 2022 International Energy Agency assessment. As AI and LLMs become more widely used, this percentage is expected to increase dramatically. A single large language model's lifetime energy consumption can be equivalent to five cars, underscoring the unsustainable nature of present AI development.

3.2 The Promise of Organic Data Centres: A Sustainable Solution

The energy efficiency of brain organoids is significantly higher than that of conventional computers. According to a study published in Nature Electronics, a biocomputer could complete complicated tasks with a fraction of the energy needed by a traditional supercomputer. The brain's distinct architecture, which excels at parallel processing and makes use of energy-efficient electrochemical signals, is the source of this efficiency. Organic computers might save a lot of energy while carrying out intricate calculations by imitating the design principles of the brain.

In tasks requiring learning, adaptation, and pattern recognition, OI may also outperform traditional computers. This could further lower the energy footprint of AI development by producing more potent and effective AI algorithms. Using the brain's natural capacity for learning, organic computers may be able to solve issues and adjust to new information in ways that conventional computers are unable to.

3.3 Envisioning the Organic Data Centre: A Bio-Integrated Future

Imagine a day in the future when data centres are made up of bioreactors that house networked brain organoids rather than rows of energy-hungry computers. Compared to their silicon-based equivalents, these organic data centres would use a lot less energy, produce less heat, and possibly have more processing capacity. This paradigm shift has the potential to completely alter not just how we process information but also how our digital infrastructure is built.

By employing biomimicry to capture natural resources like sunshine and water for their operations, these organic data centres might be incorporated into the surrounding landscape. They might be kept in bio-domes, which are controlled environments that replicate the circumstances seen in the human brain. This idea of a bio-integrated future, in which technology coexists peacefully with the environment, may open the door to a more sustainable and peaceful coexistence of people and the environment.

4. OI in ASEAN: A Catalyst for Technological Leadership and Sustainable Development

Even though OI research is still in its infancy worldwide, a number of ASEAN nations are becoming important players in the subject. Singapore is leading the way with its emphasis on biomedical innovation and research. In Singapore, the Agency for Science, Technology and Research (A*STAR) has set up specialised research programs on OI, investigating its potential for use in computers and medicine.

The foundation for future OI development is being laid by investments in biotechnology and neuroscience research made by other ASEAN nations like Malaysia and Thailand. OI has important ramifications for ASEAN:

Economic Growth: OI might spur economic expansion and innovation in the area, generating high-skilled jobs in biotechnology, biocomputing, and related sectors as well as new industries. Global talent and investment may be drawn in this way, increasing ASEAN's economic competitiveness.
Technological Leadership: With the potential to become a global leader in organic computing, ASEAN might draw in talent and investment from all over the world. ASEAN may establish itself as a leader in this new technology and influence its future course by funding OI research and development.
Sustainability: By encouraging green technology and lowering data centres' energy usage, OI may make a substantial contribution to ASEAN's sustainability objectives. ASEAN may show its dedication to environmental sustainability and lessen its carbon footprint by switching to organic data centres.

4.1 Singapore: A Hub for OI Innovation

Singapore is a perfect location for OI innovation because of its strong infrastructure, encouraging regulatory environment, and dedication to research and development. The government has seen biotechnology as a major area for growth, and OI research is being funded by programs such as the Competitive Research Programme of the National Research Foundation.

Prominent research institutes in Singapore, including A*STAR and the National University of Singapore, are actively investigating the possible uses of OI in computing and medicine. The nation is a desirable place for OI research and development due to its robust intellectual property protection laws and advantageous position in the centre of Southeast Asia.

4.2 Regional Collaboration: A Key to Success

For OI to evolve more quickly and be implemented in an ethical and responsible manner, ASEAN cooperation will be essential. The area may become a global leader in this game-changing technology by exchanging best practices, resources, and knowledge.

Initiatives including cooperative research projects, technology transfer programs, and the creation of standard ethical standards for OI research and development are some ways that ASEAN may promote regional cooperation. The ASEAN nations can advance this area more quickly by cooperating and utilising their combined capabilities and experience.

5. Ethical Crossroads: Confronting the Moral Dilemmas of OI

The emergence of OI presents significant ethical issues that call for thoughtful analysis and aggressive fixes. We must consider the ethical ramifications of producing potentially sentient beings and using their cognitive capacities for our own ends as we explore the undiscovered realm of biocomputing.

Sentience and Consciousness: Could biocomputing organoids become sentient or conscious? What moral duties do we have to these beings, if any? Do they need to be given the same rights and protections as people and animals?
Moral Status: What ethical standing does a biocomputer that uses human brain cells have? What is the proper way to handle such entities? Do they merit a different kind of consideration, or can we defend utilising them for our own ends? Are they just tools to be used and then thrown away, or do they have intrinsic value?
Informed Consent: How can organoids employed in biocomputing or research be given their informed consent? Are they able to comprehend and provide their consent to engage in these activities? If not, how can we make sure that their use respects their inherent dignity and is morally righteous?
Dual-Use Dilemma: Is it possible that OI may be misused to create autonomous weapons or improve human intelligence in ways that worsen inequality? How can we prevent the misuse of this technology and ensure that it is used for the good of people and the planet?

5.1 Navigating the Ethical Labyrinth: A Multi-Faceted Approach

Addressing these ethical challenges requires a multi-faceted approach that involves collaboration between scientists, ethicists, policymakers, and the public:

International Collaboration: The creation of moral standards and laws governing OI research and development requires international collaboration. Regardless of national boundaries, a uniform framework can assist guarantee that OI is generated and used appropriately. This cooperation can be greatly aided by international organisations like the World Health Organisation and the United Nations.
Public Engagement: To resolve concerns and guarantee societal acceptance, open and honest communication with the public is essential. More knowledge of OI and its moral ramifications can be promoted through public participation and education, facilitating responsible decision-making and educated public debate.
Interdisciplinary Research: Navigating the ethical challenges of OI requires cooperation between scientists, ethicists, philosophers, and policymakers. From research to application, this multidisciplinary approach may guarantee that ethical issues are incorporated into all phases of OI development.

5.2 The Spectre of Sentient Exploitation: A Moral Reckoning

The possibility of creating sentient beings and then using them for our own ends is one of the most urgent ethical issues. We must consider the ethical ramifications of utilising organoids as tools if they become sentient while being used in biocomputing. Do they have the right to make their own decisions? Do they merit payment for their work? As OI technology develops, we have to address these issues.

There are significant ethical issues with the exploitation of sentient beings, even if they are produced in a lab. Every use of OI technology must respect the intrinsic worth and dignity of all sentient beings. It could be necessary to create new ethical and legal frameworks in order to safeguard biocomputers' rights and prevent them from being viewed as nothing more than commodities.

illuminem Voices is a democratic space presenting the thoughts and opinions of leading Sustainability & Energy writers, their opinions do not necessarily represent those of illuminem.

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About the author

Alex Hong is a Director at AEIR (Singapore), part of Sync Neural Genesis AG, spearheading innovations in wireless energy. He serves as the Ambassador of Southeast Asia for the Global Blockchain Business Council and chairs blockchain initiatives at the Global Sustainability Foundation Network. Appointed as LinkedIn’s Top Voices (Green) since 2022, Alex is a leading ESG thought leader. Additionally, he is the Chief Sustainability Coordinator at YNBC, advisory board member for the Green Computing Foundation and the European Carbon Offset Tokenization Association (ECOTA) Expert.

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