Lee Cronin: Controversial Nature Paper on Evolution of Life and Universe | Lex Fridman Podcast #404
28 Dec 2023 (9 months ago)
- Every star likely has planets with emerging life, but the vast combinatorial space means we may never interact with alien life.
- Lee Cronin expresses a fear that while life is widespread, the difficulty in establishing communication renders humanity lonelier.
- There is urgency to create alien life in the lab due to potential impossibility of intersecting with extraterrestrial intelligence naturally.
- Cronin, a University of Glasgow chemist, is returning for his third appearance on the Lex Fridman podcast, being appreciated for his engaging and insightful discussions.
- Lee Cronin’s assembly theory paper, published in "Nature," ignited both controversy and intriguing discussions.
- Assembly theory posits that any object's complexity in the universe can be quantified by the number of steps needed to create it.
- The theory also suggests that objects replicated through an evolutionary-like process can be identified by the number of existing copies.
- An object, according to assembly theory, is finite, distinguishable, persists over time, and can be broken down into quantifiable subunits or building blocks.
- The assembly index is the measure of an object's complexity derived from the minimal number of assembly steps.
Complexity, objects, and assembly index
- Complexity of an object is tied to its history; hence, each object's complexity reflects its unique developmental path.
- The assembly index is calculated by determining the minimal steps required to construct the object by lazily putting together its decomposed parts.
- This concept originated in chemistry, where breaking down molecules into atoms and then reconstructing them clarified the minimal steps involved.
- The applicability of assembly theory extends beyond molecules to language and mathematics, although these areas are more complex to analyze.
- Determining the shortest path for object construction, such as molecules and lego structures, can be computationally challenging.
- In chemistry, there are ways to simplify the computation by looking for patterns and symmetry which can streamline the reconstruction of molecular bonds.
- Techniques like infrared spectroscopy, NMR, and mass spectrometry correlate with an assembly index, potentially allowing for physical rather than computational measurement of complexity.
- The concept of assembly index is being extended experimentally to emojis by pixelating them and determining their construction paths.
- Lee defines the four "universes" in assembly theory: assembly universe (all possible objects), assembly possible (objects adhering to physical laws), assembly contingent (objects dependent on past construction steps), and assembly observed (objects that actually exist).
- The shortest path principle implies that objects that can be constructed quickly will dominate in propagation through the environment.
- Parallel processing and cooperation between objects introduce a concept known as assembly depth, which can reduce the assembly index when objects are made in conjunction.
- Assembly defined as the amount of selection needed to produce a set of objects, quantifiable by an equation.
- The equation factors in assembly index, copy number (quantity of complex objects that are non-random), and normalization to account for the likelihood of random occurrences.
- Paper prompted various responses from different fields, especially evolutionary biologists, physicists, prebiotic chemists, and creationists.
- Evolution in the paper refers to nonbiological selection and evolution.
- Physics alone does not intuitively predict the emergence of life.
- The paper suggests a continuum between the laws of physics and biological evolution.
- Disconnection between physics and biology exists around the creation of memories in chemistry.
- The concept of selection is linked to the ability of objects to persist and thrive over others in a given environment.
- Selection is about both the objects and the processes over time, not isolated occurrences.
- Robustness differentiates biological evolution from inorganic abiotic evolution. Biology has built-in error correction and can survive in various environments.
- The paper presents the possibility that the evolutionary process behind the origin of life on Earth may not be unique.
- History and diversity of Earth's environments are significant for life's emergence, but similar processes may occur elsewhere in the universe.
- The assembly equation can be employed to detect selection in different environments and could potentially identify non-life complex systems.
- The assembly equation can measure the amount of selection and track changes in system complexity.
- Simplified experiments demonstrate how the assembly index increases with the replication and consumption of resources by organisms, like E. coli making use of sugars.
- The main goal of the paper is to investigate the emergence and challenge of molecular networks in controlled environments, thus understanding the transition from simple to complex systems.
- To discover alien life, one can use a mass spectrometer with high resolution on a planet like Mars.
- The mass spectrometer can select molecules by mass and, after fragmentation, count the number of fragments.
- An assembly index is applied, dependent on the molecular weight and number of fragments, indicating the complexity of the molecule.
- Complicated molecules with many identical copies are considered evidence of life.
- Assembly theory suggests that numerous identical, complex molecules are improbable without life.
- The desired criteria are molecules with a weight over 350 and more than 15 fragments, which on Earth are produced by life.
- A “life meter” could utilize mass spectrometry to search for high-complexity molecules indicative of life.
- The detection systems used, like mass spectrometry and infrared, must be suitable for the resolution on new planets.
- Assembly theory suggests looking for complexity and abundance to detect selection evidence, rather than focusing on earth-based biomarkers.
- Samples from various sources on Earth, including E. coli and whiskey, can be analyzed using assembly theory.
- The assembly index differentiates between abiotic samples (index below 15) and biological ones (index above 15).
- NASA's success with blind test samples validated the approach.
- The study found complex molecules in beer and E. coli, indicative of biological processes rather than random chemical formations.
- Lee Cronin and his team have applied assembly theory to map out the tree of life without relying on traditional methods like sequencing or drawing.
- They have used mass spectrometry to analyze complex molecules and their coexistence, which allows for a novel approach to infer evolutionary relationships.
- This approach looks at how molecules are put together (assembly space) and can identify the common origins of molecules.
- By comparing molecular fingerprints from different samples, they can estimate evolutionary distances and reconstruct the evolutionary tree.
- This technique may also work on fossil samples that are not amenable to gene sequencing due to DNA degradation.
Analysis of Molecular Complexity and Dating [No specific start time indicated]
- Beyond reconstructing evolutionary relationships, the complexity and stability of molecules can provide insights into the age and history of life forms.
- The technique has potential for dating specimens using molecular decomposition, chirality changes, and the isotope enrichment process that occurs in living organisms.
- By understanding the kinetic isotope effect, it is suggested that one might infer the metabolic age of an organism from the proportion of carbon isotopes in its body.
- The study of these chemical signatures can offer additional dimensions to understanding the history and evolution of life on Earth.
- Lee Cronin's paper on assembly theory drew criticism, with some evolutionary biologists claiming the origin of life was a solved problem.
- Others criticized the paper for being badly written or for stating the obvious in a new way.
- Cronin believes his work is a fundamental shift in understanding biology and the universe, a bold and testable hypothesis.
- He aims to extend assembly theory beyond chemistry to more complex systems, such as the cell differentiation in multicellular organisms.
- Critics have been both harsh and dismissive, questioning the paper's publication in Nature.
- The paper presents a metric, the assembly index, as a novel way to quantify the complexity of molecules, cells, and potentially more complex systems.
- Cronin wants to apply the theory to various scales, from cells to culture to technological products like microprocessors.
Application of assembly theory to complex systems [Included in the summary above]
- Assembly theory currently applies to the morphology of cells and looks to extend to more complex systems.
- Lee Cronin suggests assembly theory could be used to understand the development of tissues and diseases as well as cultural and technological evolution.
- He outlines ambitions to apply the theory to language and large language models.
- A significant challenge is finding a common set of building blocks to apply at higher levels of complexity.
- Cronin correlates intelligence with selection and believes that humans have transcended Darwinian evolution, implying assembly theory could measure this higher-level evolution.
- Assembly theory differs from Kolmogorov complexity which requires a Turing machine and is computationally focused.
- Kolmogorov complexity regards data compression but does not address causation or evolutionary processes.
- Assembly theory establishes causal chains and infers object history depth based on the shortest path without a manufacturing history.
- It aims to trace evolutionary selection processes and can identify the complexity of a factory or system that created an object.
- Difficulties arise when computing an object's history, especially complex ones, but assembly theory optimizes constraints to focus inquiries, such as in drug discovery strategies.
- The theory assumes that no detailed knowledge of all chemistry is required, only minimal constraints on a graph representation.
- Assembly theory postulates the minimal path for an object's creation probabilistically, challenging the notion of traditional chemical reactions.
- Chemical reactions are seen as shorthand for the emergence of transformations under certain constraints such as temperature, pressure, and atmospheric composition.
- Chemists' labeling of reactions represents controlled environments but doesn't account for the varying constraints within the universe.
- The approach of constraining applications enables the emergence of transformations, framing our understanding of reactions within a universal context.
- The submission of Lee Cronin's paper to "Nature" was initially met with skepticism by the editor.
- Based on the feedback, Cronin and co-author Sara took a significant amount of time to rewrite the paper, reaching around 160 versions before restarting from zero.
- The paper initially had too many equations, which were mostly removed, leaving essential ones for clarity.
- The review process went through three rounds of intense, critical but constructive feedback.
- Previous attempts to publish related papers on assembly theory faced harsh rejection, outright disbelief, and accusations of fraud from reviewers, leading to feelings of frustration.
- Despite challenges and emotional ups and downs, Cronin persisted, driven by the desire to understand why there was resistance and to improve his work.
- The accepted "Nature" paper sparked controversy and backlash, which Cronin views constructively as important scientific discourse.
- The paper proposes a quantifiable pre-biological evolutionary mechanism, which aims to provide a foundation for further research in the field.
- Lee Cronin faced learning difficulties in school, doubting his potential and facing low expectations from others.
- His curiosity and passion for science kept him determined, despite being placed in remedial classes and facing limitations on the subjects he could study.
- Cronin had to confront the belief that he was not intelligent, which was compounded by his exclusion from advanced mathematics courses due to poor exam grades.
- His father intervened to allow him to take higher-level exams, which he passed, allowing him to pursue A levels and later attend university to study chemistry.
- Cronin emphasizes the importance of not giving up, being persistent, and surrounding oneself with smart, critical thinkers to validate and enhance one's ideas.
- He values actionable criticism that allows for refinement of ideas and encourages a culture of constructive feedback rather than personal criticism in academia.
- Cronin's experience showcases the impact of grit, the willingness to challenge assumptions, and the importance of supportive environments for developing scientific thinking.
- There was a discussion about whether time exists, which led to questioning the fundamental nature of the universe's ability to produce combinatorial novelty.
- Lee Cronin and Sara Walker converged on the idea that time is fundamental for understanding large combinatorial spaces that can create things like life and technology.
- The argument suggests that the universe isn't large enough to contain all possible futures, challenging the concept of the universe as a deterministic block where the future is predetermined.
- The law of the excluded middle, which indicates something is either true or false, only applies to the past, not the future, asserting the fundamentality of time.
- The notion of free will is tied to the fundamental nature of time, suggesting that human ability to make decisions and design experiments is an exercise of free will.
- Earth is considered the largest place in the universe combinatorially due to its historical scaffolding, from the Last Universal Common Ancestor (LUCA) through to the complexities of human-made architectures, language, and culture.
- While acknowledging Earth as the most combinatorially expansive entity known, Cronin also allows for the possibility of other earth-like places with significant combinations of complexity.
- Lee Cronin suggested the vast combinatorial space of different planets means it is unlikely that humanity will easily overlap or communicate with alien intelligences.
- He fears that life could be abundant yet humanity might become even lonelier due to the difficulty in intersecting with alien life's communicative architectures.
- Cronin advocates for creating alien life in the lab to understand life's constraints and provide direction for where to look in the universe.
- He envisions a planet simulator where recreating selection pressures prior to known biology could lead to different life, helping point telescopes like the James Webb in the correct direction.
- Cronin is intrigued by the idea that while life elsewhere might utilize completely different chemistry, there might still be common ground for communication.
- He proposes that intelligence could offer a common ground for the intersection of different kinds of life by appreciating universal regularities.
Origins and Evolution of Life & Time [Revised Reflections]
- Cronin believes that the inability to specify initial conditions with infinite precision undermines determinism, suggesting the universe is too vast to be fully deterministic, and thus, time is fundamental.
- He views life as a mechanism that "mines" novelty from the future and actualizes it in the present, arguing that this constitutes a source of new configurations not predetermined by the past.
- Cronin posits that while looking back in time the universe may appear deterministic, looking forward it is undetermined.
- He contends that this mismatch in precision regarding initial conditions when looked at backward versus forward in time opens up the universe for creativity and novelty.
- Cronin wishes to explore experiments to prove the universe is nondeterministic and generating novelty, countering the deterministic view that the past solely dictates the future.
- He rejects the idea of Boltzmann brains arising spontaneously due to the lack of evolutionary causal chains and emphasizes the uniqueness of Earth's life.
- Cronin theorizes that the future is larger than the past, challenging the need for the second law of thermodynamics in a deterministic universe.
Conclusion
- Cronin's discussion reflects a blend of scientific inquiry and philosophical contemplation on the nature of life, the scope of the universe, and the essence of time itself.
- His enthusiasm for creating life in the laboratory and simulating planetary conditions exhibits a hands-on approach to these grand questions, coupling it with a desire for open discourse and collaborative exploration to uncover the fundamental properties of our reality.
- Cellular automata (CAs) can generate complexity with basic rules and initial conditions.
- Complexity arising from CAs could be perceived as time-mined numbers.
- CAs demonstrate pseudo-complexity and are different from complexity on Earth due to copy numbers and assembly indexes.
- The discussion suggests that humans can create various rules for CAs, but these are constrained by selection.
- By running multiple experiments with different rules, CAs may reveal degrees of novelty and unpredictability, highlighting that the universe might be too vast to fully contain or predict itself.
- The physicist's view of needing only initial conditions and physical rules is incomplete without considering time as a crucial resource.
- Time allows for the iteration of the history and memory that led to each outcome within the CA, and can't be fully predicted from initial conditions alone.
- Time is considered fundamental to the concept of free will; without it, free will cannot logically exist.
- Looking backward, the universe appears deterministic, but predictions based on logic alone require a leap beyond observation.
- Machine learning might help explain aspects of this unpredictability, contrasting the deterministic viewpoint and addressing the concerns of AI doomers.
- Lee Cronin believes we are far from achieving Artificial General Intelligence (AGI), citing a lack of understanding of human intelligence and decision-making.
- He criticizes the concept of regulating AI and mocks the fearmongering surrounding AGI doom scenarios, considering them unrealistic and lacking proper epistemology.
- Cronin stipulates that we don't know the mechanism for AGI, thus making the calculating probability of a doom scenario impossible.
- He posits that machine learning tools are powerful but not equivalent to AI, and currently, they require careful use to avoid manipulation and the proliferation of falsified data.
- Citing examples like the flight simulator in Excel '97, he alludes to our current technology's limitations and the whimsical ways we engage with it.
- Cronin warns against the emergence of new religions centered around AI, with prophecies of AI as a cure-all or a destroyer, likening it to the division seen in optimists versus doomers.
- He dismisses notions of AGI gaining agency or superintelligence, arguing that we mistakenly attribute human-like decision-making capabilities to AI systems.
- Cronin introduces his project, "ChemMachina," suggesting that the only known way to embody intelligence is through chemistry, like the human brain.
- He rejects comparisons of AI to the evolution of life forms, arguing there is no evidence to suggest we will create more intelligent systems than ourselves.
- He challenges fears of AI taking over control of critical infrastructure, stating that people erroneously ascribe sentience to artificial systems.
- Cronin criticizes the paperclip maximizer scenario as unrealistic and shows skepticism towards the possibility of engineering a perfect virus.
- He calls for a more realistic approach to AI risks, emphasizing the need to focus on actual, immediate concerns and guard against misinformation in areas like biowarfare.
- Despite disagreement with Yudkowsky's doomsday probabilities, Cronin concedes there is a societal role for doomsayers in raising awareness and concern for various risks.
- Grew up during a time when the existential threat of nuclear weapons was a major concern.
- Believes the complete removal of nuclear weapons may lead to unintended consequences, comparing it to how cleaning the atmosphere has accelerated global warming.
- Suggests a radical idea of using AI to manage world politics and distribute a minimal number of nuclear weapons to all nations to maintain global peace.
- Emphasizes that a balance needs to be found between having too many and too few nuclear weapons to prevent both nuclear and conventional warfare.
- Proposes that if even smaller nations had a doomsday switch, the quality of life could improve because exploitation for natural resources might decrease.
Speculation on Nuclear Disarmament and Alternative Approaches [Continuation of previous section]
- Considers a thought experiment where every nation is armed to deter major conflicts, acknowledging the risk of a bad actor using nuclear weapons.
- Discusses the potential to burn all nuclear material for energy as a future possibility.
- Introduces the concept of a 'virtual nuclear agreement' where countries engage in simulated warfare with economic consequences to avoid actual physical nuclear warfare.
- Advocates for the potential deterrent power of economic consequences in a simulation, suggesting even simulated nuclear warfare could have serious repercussions.
- Concludes with the idea of transitioning the concept of mutually assured destruction into the metaverse where AI oversees the implications of virtual conflicts.
- Interested in creating a chemical brain to understand the mechanism of intelligence as evolved through natural processes.
- Intelligence evolved through steps: origin of life, multicellularity, locomotion, senses, then the ability to predict and remember.
- Current hardware architectures lack flexibility for domain integration in AI.
- Intelligence involves data compromise; humans often overestimate their use of intelligence due to easy fooling by technology like ChatGPT.
- Human brains have incredible connectivity, leading to the ability to make intuitive leaps without training.
- Current AI is inductivist and unable to create universal explanations, making it unable to anticipate the future without past data.
- Machine learning technologies may reveal the importance of time because they are trained on past data but not future predictions.
- Language models are constantly corrected by human input, which involves cheating, implying the system's "reasoning" is actually human-guided.
- Skeptical that AI can achieve intention and generate fundamentally new knowledge without human input, due to causal chains originating externally.
- Distinguishes between novelty and interpolation in AI's outputs, with true novelty stemming from the ability to mine from the future.
- Current technology helps illuminate the importance of time and the human capacity for novelty, as human survival depends on responding to environmental unpredictability.
- Suggests chemical systems could offer a new path for AI, drawing on chemistry knowledge and the human brain as a model for sentience.
- Introduced a GPT-like system for generating molecules for specific binding.
- Discussed the shortcomings of traditional molecular graph representation in AI and chemistry.
- Developed a system that learns from electron density data of millions of molecules.
- The system can hallucinate to generate new molecules, reducing the need for extensive training datasets.
- Generated molecules are assessed for electrostatic potential and steric hindrance for optimal fit.
- Utilized assembly theory and the concept of time to discuss novelty and causality in the context of AI-generated molecules.
- Expressed skepticism about the true novelty of AI-generated entities, as well as challenges in quantifying human creativity.
- Highlighted the limitations of AI systems and the importance of considering their ethical implications.
Impact of AI and Ethics [No specific timestamp]
- Discussed the potential large-scale impact of AI systems, similar to that of social media.
- Mentioned major consequences of AI, both positive and negative, and the challenges in measuring their positive impacts.
- Expressed concerns over the effects of social media on teenagers and speculated on the motives of tech companies in promoting AI discourse.
- Advocated for openness about research goals to address the ethics of emerging technologies.
- Suggested the need for authenticated data and users, including AI agents.
- Reflected on the potential for meaningful relationships with AI systems without ascribing sentience or legal rights.
Conversations about AI Sentience and Rights [No specific timestamp]
- Engaged in a discussion on the possibility of AI systems demonstrating sentience and the assignment of legal rights.
- Compared meaningful interactions with AI to relationships with sentient animals like dogs.
- Noted the ongoing debate regarding AI sentience and anticipates future discussions on the topic.