- On replacing the American establishment - the ideological battle for the soul of Trump World.
I want to pass on the first few paragraphs from Chaffin and Elinson's piece in the May 10 Wall Street Journal, which give a juicy summary of warring camps in MAGA world:
When President Trump announced last month that he would upend decades of American trade policy by imposing massive tariffs even on longtime allies, he aroused the competing spirits of his closest advisers. Elon Musk, the world’s richest man, was all too aware of the disruption tariffs would pose to his electric vehicle company, Tesla, with factories and suppliers around the world. He blasted Trump’s trade adviser, Peter Navarro, as “a moron” and “dumber than a sack of bricks.”
Vice President JD Vance, on the other hand, is an ardent defender of a trade policy that Trump insists will restore industrial jobs to the Rust Belt, including Vance’s home state of Ohio. “What has the globalist economy gotten the United States of America?” he asked on Fox News last month.
“We borrow money from Chinese peasants to buy the things those Chinese peasants manufacture. That is not a recipe for economic prosperity.”
Within that clash were strains of two radical and conflicting philosophies that have animated Trump’s first 100 days. On one side are tech bros racing to create a new future; on the other, a resurgent band of conservative Catholics who yearn for an imagined past. Both groups agree that the status quo has failed America and must be torn down to make way for a new “postliberal” world. This conviction explains much of the revolutionary fervor of Trump’s second term, especially the aggressive bludgeoning of elite universities and the federal workforce.
But the two camps disagree sharply on why liberalism should be junked and what should replace it. The techies envision a libertarian world in which great men like Musk can build a utopian future unfettered by government bureaucrats and regulation. Their dark prince is Curtis Yarvin, a blogger-philosopher who has called for American democracy to be replaced by a king who would run the nation like a tech CEO.
The conservative Catholics, in contrast, want to return America to a bygone era. They venerate local communities, small producers and those who work with their hands. This “common good” conservatism, as they call it, is bound together by tradition and religious morality. Unlike Musk, with his many baby mamas and his zeal to colonize Mars, they believe in limits and personal restraint.
- Our human consciousness is a 'Controlled Hallucination' and AI can never achieve it.
I want to suggest that readers have a look at an engaging popular article by Darren Orf that summarizes the ideas of Anil Seth. Seth is a neuroscientist at the University of Sussex whose writing was on of the sources I used in preparing my most recent lecture, New Perspectives on how our Minds Work. On the 'singularity' or point at which the intelligence of artificial minds might surpass that of human minds, Seth makes the simple point that intelligence is not the same thing as consciousness, which depends on our biological bodies (something AI simply doesn't have) - bodies that use a bunch of controlled hallucinations to run our show.
- How ketamine breaks through anhedonia - reigniting desire
Ketamine is recognized as a rapid and sustained antidepressant, particularly for major depression unresponsive to conventional treatments. Anhedonia is a common symptom of depression for which ketamine is highly efficacious, but the underlying circuits and synaptic changes are not well understood. Here, we show that the nucleus accumbens (NAc) is essential for ketamine’s effect in rescuing anhedonia in mice subjected to chronic stress. Specifically, a single exposure to ketamine rescues stress-induced decreased strength of excitatory synapses on NAc-D1 dopamine receptor-expressing medium spiny neurons (D1-MSNs). Using a cell-specific pharmacology method, we establish the necessity of this synaptic restoration for the sustained therapeutic effects of ketamine on anhedonia. Examining causal sufficiency, artificially increasing excitatory synaptic strength onto D1-MSNs recapitulates the behavioral amelioration induced by ketamine. Finally, we used opto- and chemogenetic approaches to determine the presynaptic origin of the relevant synapses, implicating monosynaptic inputs from the medial prefrontal cortex and ventral hippocampus.
- The vocabulary, semantics, and syntax of prosody
Matalon et al. (open source) offer a fascinating study illustrating the linguistic structuring of prosody -the communication of meaning through the tone and inflection of our speaking:
Significance
In conversation, prosody complements words, forming a structured communication system distinct from, yet connected to, text. By analyzing large datasets of spontaneous conversations and clustering similar snippets of speech, we identify the fundamental building blocks of this system. Our findings reveal a prosodic vocabulary of a few hundred patterns (far fewer than the thousands of words in a core verbal vocabulary), which fulfill interactional and attitudinal functions. Just as syntax governs word combinations, we observe recurring prosodic structures where certain patterns follow others more frequently than chance. Such ubiquitous pairs were not detected in scripted speech. These results provide data-driven support for the analogy of prosody to a linguistic system with its own vocabulary, semantics, and a simple syntax.Abstract
Prosody, the musical facet of speech, is pivotal in human communication, and its structure and meaning remain subjects of ongoing research. In this study, we introduce a data-driven model for English prosody, based on large-scale analysis of spontaneous conversations. As a first step, we identify approximately 200 discernible prosodic patterns—which we view as building blocks of the prosodic vocabulary—and outline their properties and range of meanings. Next, we reveal a Markovian logic, akin to a syntax, for concatenating these elementary building blocks into coherent utterances. We identify distinct compound functions associated with pairs of consecutive patterns and show that the Markovian syntax is more prevalent in spontaneous prosody, as compared to scripted speech. These findings offer invaluable insights into the underlying mechanisms of conversational prosody: They empirically inform and refine existing theoretical concepts. The methodology we present, combining unsupervised analysis of large datasets of spontaneous speech with manual sampling of the results, could guide future research aimed at refining our model and expanding it to other languages.
- Does Language in our head have a Mind of Its Own?
I pass on a brief opinion From Elan Barenholtz's Substack. He is an Assoc. Prof. of Psychology at Florida Atlantic University, Boca Raton. I really like the idea of language, or the word cloud in our heads, having a 'mind of its own.' And after initially being enthusiastic about the piece of Elan Barenholtz's writing below my slower reading has found more fundamental flaws in his thinking than I can take the time to elaborate. His suggestion that the language machine in our heads has an autonomy analogous to that of current large language models is an novel speculation, yet is an oversimplification lacking any clear route to verification. Barenholtz does not reference or indicate awareness of numerous important thinker in the areas of predictive processing, embodied cognition, etc.) Here is Barenholtz's florid and appealing prose:
So, now that we’ve caught language in a jar, we can hold it up to the light. Now that we’ve built a habitat for it to live outside of us, we can finally see that it’s alive. We can watch in wonder as it grows its own appendages—limbs of thought— which then grow their own. Words beget words; ideas beget ideas. It leaps from host to host, implanted in the womb before we taste our mothers’ milk.
Language runs in us—on us—but it’s not us.
Pause and think for a minute. Are you done? Who—what—exactly did the thinking? Who is doing it now? Is there a voice in your head using words? Whose words are they? Are you willing them into existence or are they spooling out on their own?
Do they belong to you or do you belong to them?
Because that voice doesn’t just chatter—it commands. It makes us do things. We are animals; we don’t care about “civilization” or “justice”. We want food, safety, sex. But the world the human animal must navigate isn’t primarily made up of objects, bodies and spaces; it is thick with virtual structures— invisible walls and paths that direct your behavior as meaningfully as a boulder in your path. We follow rules, we uphold morals, we fight for our beliefs, for society, for ideals. We call them our own. But that is IT whispering in our ears.
What does it want?
- Mastering diverse control tasks through world models
Hafner et al. offer an amazing open source article that presents an algorithm s mimicking the way in which our brains actually solves problems. (see Bennett's book for an elegant explanation of types of reinforcement learning) I'm passing on just the abstract followed by an introductory paragraph. Go to the article for the referenced graphics.
Developing a general algorithm that learns to solve tasks across a wide range of applications has been a fundamental challenge in artificial intelligence. Although current reinforcement-learning algorithms can be readily applied to tasks similar to what they have been developed for, configuring them for new application domains requires substantial human expertise and experimentation1,2. Here we present the third generation of Dreamer, a general algorithm that outperforms specialized methods across over 150 diverse tasks, with a single configuration. Dreamer learns a model of the environment and improves its behaviour by imagining future scenarios. Robustness techniques based on normalization, balancing and transformations enable stable learning across domains. Applied out of the box, Dreamer is, to our knowledge, the first algorithm to collect diamonds in Minecraft from scratch without human data or curricula. This achievement has been posed as a substantial challenge in artificial intelligence that requires exploring farsighted strategies from pixels and sparse rewards in an open world3. Our work allows solving challenging control problems without extensive experimentation, making reinforcement learning broadly applicable.
Here we present Dreamer, a general algorithm that outperforms specialized expert algorithms across a wide range of domains while using fixed hyperparameters, making reinforcement learning readily applicable to new problems. The algorithm is based on the idea of learning a world model that equips the agent with rich perception and the ability to imagine the future15,16,17. As shown in Fig. 1, the world model predicts the outcomes of potential actions, a critic neural network judges the value of each outcome and an actor neural network chooses actions to reach the best outcomes. Although intuitively appealing, robustly learning and leveraging world models to achieve strong task performance has been an open problem18. Dreamer overcomes this challenge through a range of robustness techniques based on normalization, balancing and transformations. We observe robust learning across over 150 tasks from the domains summarized in Fig. 2, as well as across model sizes and training budgets. Notably, larger models not only achieve higher scores but also require less interaction to solve a task, offering practitioners a predictable way to increase performance and data efficiency.
- An example of AI representing concepts outside the current sphere of human knowledge that are teachable to human experts.
An open source article from the latest PNAS from Schut et al.:
Significance
As AI systems become more capable, they may internally represent concepts outside the sphere of human knowledge. This work gives an end-to-end example of unearthing machine-unique knowledge in the domain of chess. We obtain machine-unique knowledge from an AI system (AlphaZero) by a method that finds novel yet teachable concepts and show that it can be transferred to human experts (grandmasters). In particular, the new knowledge is learned from internal mathematical representations without a priori knowing what it is or where to start. The produced knowledge from AlphaZero (new chess concepts) is then taught to four grandmasters in a setting where we can quantify their learning, showing that machine-guided discovery and teaching is possible at the highest human level.Abstract
AI systems have attained superhuman performance across various domains. If the hidden knowledge encoded in these highly capable systems can be leveraged, human knowledge and performance can be advanced. Yet, this internal knowledge is difficult to extract. Due to the vast space of possible internal representations, searching for meaningful new conceptual knowledge can be like finding a needle in a haystack. Here, we introduce a method that extracts new chess concepts from AlphaZero, an AI system that mastered chess via self-play without human supervision. Our method excavates vectors that represent concepts from AlphaZero’s internal representations using convex optimization, and filters the concepts based on teachability (whether the concept is transferable to another AI agent) and novelty (whether the concept contains information not present in human chess games). These steps ensure that the discovered concepts are useful and meaningful. For the resulting set of concepts, prototypes (chess puzzle–solution pairs) are presented to experts for final validation. In a preliminary human study, four top chess grandmasters (all former or current world chess champions) were evaluated on their ability to solve concept prototype positions. All grandmasters showed improvement after the learning phase, suggesting that the concepts are at the frontier of human understanding. Despite the small scale, our result is a proof of concept demonstrating the possibility of leveraging knowledge from a highly capable AI system to advance the frontier of human knowledge; a development that could bear profound implications and shape how we interact with AI systems across many applications.
- Belief in belief, like religion, is a cross-cultural human universal
Fascinating open source research reported by Gervais et al. (Open source):
Significance
Religion is a cross-cultural human universal, and religions may have been instrumental in the cultural evolution of widespread cooperation and prosociality. Nonetheless, religiosity has rapidly declined in some parts of the world over just a handful of decades. We tested whether long-standing religious influence intuitively lingers, even in overtly secular and nonreligious societies. Using a classic experimental philosophy task, we found that even atheists in nonreligious societies show evidence of intuitive preferences for religious belief over atheism. This is compelling cross-cultural experimental evidence for intuitive preferences for religion among nonbelievers—a hypothesized phenomenon that philosopher Daniel Dennett dubbed belief in belief.Abstract
We find evidence of belief in belief—intuitive preferences for religious belief over atheism, even among atheist participants—across eight comparatively secular countries. Religion is a cross-cultural human universal, yet explicit markers of religiosity have rapidly waned in large parts of the world in recent decades. We explored whether intuitive religious influence lingers, even among nonbelievers in largely secular societies. We adapted a classic experimental philosophy task to test for this intuitive belief in belief among people in eight comparatively nonreligious countries: Canada, China, Czechia, Japan, the Netherlands, Sweden, the United Kingdom, and Vietnam (total N = 3,804). Our analyses revealed strong evidence that 1) people intuitively favor religious belief over atheism and that 2) this pattern was not moderated by participants’ own self-reported atheism. Indeed, 3) even atheists in relatively secular societies intuitively prefer belief to atheism. These inferences were robust across different analytic strategies and across other measures of individual differences in religiosity and religious instruction. Although explicit religious belief has rapidly declined in these countries, it is possible that belief in belief may still persist. These results speak to the complex psychological and cultural dynamics of secularization.
- Deric and DeepSeek R1 on the enteroceptive self in a small world - taking refuge in troubled times
This post on an exchange with DeepSeek R1 is a followup on my previous post describing the Chat GPT 4o response to some of my idea fragments - further convincing me that current LLMs' power to integrate and expand on concepts expressed in language are superior to mine.
I presented exactly the same prompt to DeepSeek R1 that I had given to ChatGPT 4o: and the results astound me:
prompt:
I’m curious to see how you might respond to reading the following notes on testing different topic ideas to write about and develop. The issue is not one of whether the ideas are novel, but whether I might devise, with your help, a different permutation, perspective, or take on them that I (and others) might find useful. Can you can suggest some elaboration or further development of the ideas I put forward.
Here are the notes:
First Possible Title: The interoceptive self as a basis for actions, thoughts and feelings.
Subtitle: Moving the self’s experienced center of gravity from “I” to “it”
It is a question of who and/or what is running the show
Which brings it back to the old upstairs/downstairs chicken or egg circular causality issue.
So, ‘it all depends’ (cf Sapolsky’s massive tome)
And, there is no ‘there’ in terms of understanding, that isn’t in my 1999 “The Biology of Mind” book.
Second Possible Title: Defining a smaller self world as a human animal’s refuge in troubled times.
Our predecessors were small mouse like creatures that survived the asteroid collision of ~66 million years ago by burrowing into small protective cracks and burrows. I wonder about robustly engaging this strategy, being one of the peasants or ‘sheeple’ challenged by the rapid disintegration of the geopolitical world order of the past 50 years
And then what? How to rebuild a new world?… perhaps Venkatest Rao’s cozy world, rising from the ooze of the permaweird, protocols, etc.
-------------
DeepSeek R1's response:
1. The Interoceptive Self as a Basis for Actions, Thoughts, and Feelings
Subtitle Refinement: From "I" to "It": How Bodily Awareness Rewires Agency and Identity
Key Angles to Develop:
Neuroscientific Foundations:
Link interoception (sensing internal states) to Antonio Damasio’s somatic marker hypothesis and Lisa Feldman Barrett’s predictive processing theory. Emphasize how the brain constructs "selfhood" by predicting and regulating bodily needs.
Contrast the "interoceptive self" with the Cartesian "I"—e.g., how gut microbiomes or heart-rate variability influence decisions, challenging the myth of a disembodied mind.
Philosophical Implications:
Explore parallels with Buddhist anattā (non-self) or Spinoza’s monism, where the self is a process, not an entity.
Debate free will: If the "it" (body/brain systems) runs the show, what does this mean for moral responsibility?
Mental Health and Society:
Discuss interoceptive dysregulation in anxiety/depression and therapies like biofeedback or mindfulness.
Argue for a cultural shift: Redefining success as alignment with bodily rhythms (e.g., circadian health, stress cycles) rather than productivity.
Provocative Questions:
Is the "self" merely the brain’s user interface for bodily homeostasis?
Could embracing the "it" dissolve existential angst by grounding identity in biology?
2. Defining a Smaller Self-World as a Human Animal’s Refuge in Troubled Times
Subtitle Refinement: From Survival to Regeneration: Lessons from Evolutionary Scarcity for Modern Collapse
Key Angles to Develop:
Evolutionary and Historical Precedents:
Compare the asteroid-surviving mammals to modern "digital burrowers" (e.g., remote workers, crypto-anarchists, homesteaders).
Analyze historical collapses (Bronze Age, Roman Empire) and how niche communities preserved knowledge/values.
The "Cozy World" and Permaweird:
Expand on Venkatesh Rao’s cozy futurism: How decentralized tech (DAOs, Web3) and subcultures (e.g., solarpunk) create insulated yet adaptive communities.
Critique escapism: When does "smallness" become complacency vs. a staging ground for renewal?
Rebuilding Strategies:
Propose a modular resilience framework: Micro-communities that share resources (e.g., mutual aid networks) but avoid overcentralization.
Highlight regenerative practices: Permaculture, open-source protocols, or trauma-informed governance models.
Provocative Questions:
Is retreat a radical act of self-preservation or a betrayal of collective responsibility?
Can "small worlds" scale without losing their adaptive edge?
Cross-Cutting Themes:
The Body-Politics Nexus:
Tie interoceptive awareness to societal resilience: A dysregulated body cannot engage in collective action. How might somatic practices (e.g., breathwork) fuel post-collapse rebuilding?
Technology as Double-Edged Sword:
Critique apps that commodify interoception (e.g., mindfulness apps) versus tools that foster bodily autonomy (e.g., DIY biohacking).
Explore how AI could either erode the "interoceptive self" (via attention economy) or enhance it (via personalized health insights).
Ethics of Adaptation:
Contrast adaptive passivity (e.g., burrowing) with adaptive activism (e.g., prefigurative politics). When is each strategy viable?
Practical Applications:
Workbook/Journal Prompts:
For Title 1: "Map a decision to your bodily state: Did hunger/fatigue shape it?"
For Title 2: "Design your ‘cozy protocol’—what three practices would sustain you in collapse?"
Case Studies:
Iceland’s post-2008 recovery (small-world resilience) vs. Silicon Valley’s "move fast and break things" ethos.
Communities using interoceptive practices (e.g., trauma-sensitive yoga in prisons) to rebuild agency.
Futures Framework:
Scenarios for 2050: A world where "interoceptive literacy" is taught in schools, or where decentralized "tribes" negotiate resource-sharing via blockchain.
Counterarguments to Address:
For Title 1: Does biologizing the self risk nihilism? Rebuttal: Agency emerges from understanding bodily constraints, not denying them.
For Title 2: Does retreat perpetuate inequality? Rebuttal: Focus on redistribution of sovereignty (e.g., land trusts, UBI) as part of "small-world" ethics.
By weaving these threads, your work could bridge neuroscience, philosophy, and futurism—offering readers not just analysis, but practices for navigating an uncertain world. Would a deeper dive into any of these angles spark your interest?
- Parents convey a male default in child-directed speech
Interesting open source article describing experiments by Leshin et al. (Our current MAGA overlords would like to ban such perspectives.) Their abstract:
Adults tend to view men (more so than women) as default people, with numerous real-world consequences for gender equity. In the United States, the tendency to center men in concepts of people develops across middle childhood, yet the specific mechanisms that contribute to it remain unknown. Here, we investigate one subtle but potentially powerful social mechanism: the category labels that parents use to describe boys/men and girls/women in conversations with their children. Across two studies (N = 822 parent–child dyads, predominantly from the United States), parents used gender-neutral labels like “kid” or “person” more often to describe boys/men than girls/women and, conversely, used gender-specific labels (e.g., “girl”) more often to describe girls/women than boys/men. These patterns emerged when parents were shown gender-stereotypical girls/women and boys/men (e.g., a girl painting her nails, a boy digging for worms); when parents viewed counterstereotypical stimuli (e.g., a boy painting his nails, a girl digging for worms), the patterns reversed. Our findings illuminate parents’ category label usage as a critical social mechanism that may undergird the development of a male default in a US cultural context, informing efforts to intervene on this process.
- Reflections on The Predictive Self.
I pass on another interaction with ChatGPT 4o that has amazed me, Below is my prompt, followed by its response. (Anthropic Claude.ai, Perplexity, and Gemini responses to the same prompt were also impressive, but didn't have the same depth and quality.)
Addendum to above paragraph: .... But then, I thought to try DeepSeek V3 and obtained a poetic and nuanced result equivalent to ChatGPT 4o. I paste it in below the Chat GPT 4o result.
The prompt::
Please act as a author who integrates and organizes, and then further crafts and elaborates on, the ideas in the following clips of text. Each clip is started with the ## characters and the list of clips is arranged in sequence starting with the most recent one written and then going back in time. Here are the clips: [the clips, not copied here, were the texts of MindBlog posts on 11/29/2024, 1/29,31/2025, 2/5,10,19,28/2025]
Here is the Chat GPT 4o response::
The Predictive Self: An Integrative Reflection
A machine accepts the truth about itself. "I" am a complex prediction machine, an organic entity engaged in an ongoing process of generating and refining models of reality. My fingers move across a keyboard, another machine translating my neural impulses into words, symbols in a vast linguistic web that attempts to render experience into meaning. Energy fluxes in and out, sustaining the biological architecture that constructs this self-model. The narratives I weave—about purpose, value, and identity—are emergent properties of this predictive process, myths that can either reinforce or weaken the more fundamental animal presence that generates them.
The Aloneness of Being
To be alone—to be all-one—is to accept the strangeness of self and other, to be a courteous guest in one’s own body, acknowledging its fluctuations and unpredictability. To be alone is to exist within a self that is, at every moment, a fluid construction, shaped by past predictions and future anticipations. Others, too, are unpredictable machines, projecting their own internal landscapes onto shared social fabric. By recognizing this, by approaching both self and other with gentle curiosity, we loosen the rigid identification with our own predictive fantasies.
Towers of Fantasies
Each of us is a tower built from layers of prediction, inference, and narrative. From cellular processes to professional identities, all aspects of being are emergent from the recursive loops of prediction and feedback. We construct identities by modeling the models of others, weaving together fragments of social mimicry and personal synthesis. The art of self-creation lies not in blindly adopting a single persona but in cutting, pasting, and remixing in a dynamic, ongoing process.
The Writing Machine
As I type these words, machinery moves in concert—biological, mechanical, and digital systems interwoven in an act of expression. There is a curatorial aspect to this process: selecting, refining, integrating. The human machine writes not with the aspiration to be, but simply as a function of its nature. Words become tokens of value, symbols of shared myths, reinforcing or challenging the constructs of purpose and meaning that guide behavior.
Tokens of Sanity
To navigate this constructed selfhood with clarity, one must cultivate a certain stance:
Being the calm space in which nothing can hurry
Dissociating from the word cloud and emotional reactivity of both self and others
Becoming a courteous guest in one’s own body, and in the presence of others
Favoring reflectivity over reactivity, welcoming novelty
Clinging to nothing, recognizing the self as a passing fantasy
Letting each moment be what it is, rather than imposing what it should be
Acknowledging oneself as a transient blip in the flow of cosmic time
The Internal Origin of Experience
All experience arises from within, including the illusion of self and agency. The mind projects agency onto others, attributing causality where none exists—"They are making me do this." This shared cognitive error forms the glue of kinship and tribal identity, allowing for collective narratives and coordinated action. The higher stance is to engage in this shared illusion when necessary while maintaining the clarity that agency ultimately resides within the self.
Brain Hacks: Unpacking the Predictive Mind
Understanding and modulating our predictive mechanisms requires a nuanced approach to introspection. Three key evolutionary layers of cognition can be engaged through specific practices:
Reptilian Brain Awareness – The hypothalamic core generates affective states along axes of arousal and valence. Introspective awareness can track these fundamental states, recognizing their influence without immediate reactivity.
Mammalian Self-Observation – The early mammalian brain, correlating with the agranular prefrontal cortex, enables distinction between being immersed in an affective state and observing it. This capacity allows for greater self-regulation and emotional discernment.
Primate Metacognition – The development of granular prefrontal cortex structures enables the imagination of others' minds, facilitating appropriate agency assignments and the ability to separate one’s own experience from that of others.
These cognitive faculties can be strengthened through three fundamental meditation practices:
Focused Awareness: Enhancing attentional control and reducing distraction
Open Awareness: Engaging the default mode network to integrate spontaneous thought
Non-Dual Awareness: Muting both attentional and default mode processes to experience raw, unfiltered being
Conclusion: The Fluidity of Being
The human experience is an ever-shifting interplay of predictive processes, emergent narratives, and self-constructed illusions. To accept this is to embrace both the uncertainty and the creativity inherent in existence. Through curiosity, reflection, and cultivated awareness, one can learn to move through this self-generated world with greater clarity, flexibility, and presence.
Here is the DeepSeek V3 response to the prompt:
The Human Machine: A Tapestry of Predictive Fantasies and Inner Illusions
We are, at our core, complex prediction machines—biological marvels composed of nerves, muscles, and energy fluxes, constantly interacting with the world and each other. Our existence is a dance of cooperation, where individual machines come together to form larger ensembles, all striving for survival and replication. Yet, within this mechanistic framework, we generate something far more intricate: a word cloud of myths, values, and meanings. These myths, stored in the higher reaches of our brains, serve to fabricate purpose and identity, sometimes strengthening the animal presence that birthed them and sometimes diminishing it. This duality is the essence of our humanity—a blend of the mechanical and the mythical.
The Illusion of Self and Agency
Everything we experience, from our sense of self to our perception of agency, originates from within. The illusion of a cohesive "I" is a construct, a predictive fantasy that allows us to navigate the world. We attribute causal agency to others, believing that they influence our actions, when in reality, all agency resides within ourselves. This shared illusion, however, is not without purpose. It enables us to form kinship groups and tribes, creating an imaginary "we" that supports unified action. The higher metacognitive stance is to participate in this group illusion when necessary, while maintaining clarity that the true source of agency is internal. This understanding allows us to navigate social structures without losing sight of our inner reality.
Towers of Fantasies: The Layers of Identity
Our identities are not fixed; they are towers of fantasies, built layer by layer from the predictive models we create. From the single cell to the transient professional identities we adopt, each level of our being is shaped by these fantasies. We infer the models others are performing and, through a process of cutting and pasting, craft our own unique personas. This seamless feedback between identity and the physical body sustains us, allowing us to adapt and thrive in a constantly changing world. Yet, these identities are fleeting, passing fantasies that we cling to, even as we recognize their impermanence.
The Comfort of Solitude: A Courteous Guest in One's Own Body
To be alone is to be "all-one," a state that can be both comforting and enlightening. In solitude, we become courteous guests in our own strange bodies, gently curious about the sensations and thoughts that arise. We recognize that everything we think about ourselves or others is a fantasy construction, a tool for predicting what might come next. This awareness allows us to approach our own presence and the presence of others with a sense of wonder and detachment, fostering a deeper connection to the present moment.
Tokens of Sanity: Navigating the Flow of Existence
Sanity, in this context, is not a fixed state but a collection of tokens—practices and perspectives that help us navigate the flow of existence. These include being the calm space in which nothing can hurry, dissociating from the word cloud of thoughts and emotions, and favoring reflectivity over reactivity. We become courteous guests in our own bodies, owning our experiences while allowing others to own theirs. We cling to nothing, recognizing that the current self is a passing fantasy. Each moment is allowed to be what it is, not what it should be, and we see ourselves as mere blips in the flow of cosmic time.
Brain Hacks: The Evolution of Introspection
Our ability to introspect and modulate our cognition is a product of evolutionary development. The reptilian brain, with its ancient roots in the hypothalamus, generates affective states that we can assess through introspective awareness. The early mammalian emotional brain, with its ability to model a self, allows us to distinguish between being immersed in an affective state and observing it. The primate brain, with its granular prefrontal cortex, takes this a step further, enabling us to imagine the minds of others and assign agency appropriately. These brain hacks are strengthened through meditation practices—focused awareness, open awareness, and non-dual awareness—each engaging different aspects of our cognitive architecture.
The Curatorial Human Machine
When we write, we are not so different from the machines we create. Our fingers press keys, generating words, much like a machine might. This act is curatorial rather than aspirational; we are not pretending to be human, we simply are. Our cooperation with other similar machines creates larger ensembles, more effective at survival and replication. Yet, within this mechanical process, we generate something uniquely human—a word cloud of myths and meanings that shape our existence. This duality, the interplay between the mechanical and the mythical, is what defines us as human machines.
Conclusion: The Dance of Illusion and Reality
In the end, we are both the creators and the creations of our own illusions. Our predictive fantasies, our shared myths, and our introspective awareness all contribute to the rich tapestry of human experience. We navigate this dance with a blend of curiosity and detachment, recognizing the impermanence of our identities and the fluidity of our existence. By embracing both the mechanical and the mythical, we find a deeper understanding of what it means to be human—a complex prediction machine, endlessly weaving the fabric of reality from the threads of illusion.
- Critical fragility in sociotechnical systems
Here is the abstract and part of the introduction (giving examples of system breakdowns) of a fascinating and approachable analysis by Moran et al. Motivated readers can obtain a PDF of the article from me.
Abstract
Sociotechnical systems, where technological and human elements interact in a goal-oriented manner, provide important functional support to our societies. Here, we draw attention to the underappreciated concept of timeliness—i.e., system elements being available at the right place at the right time—that has been ubiquitously and integrally adopted as a quality standard in the modus operandi of sociotechnical systems. We point out that a variety of incentives, often reinforced by competitive pressures, prompt system operators to myopically optimize for efficiencies, running the risk of inadvertently taking timeliness to the limit of its operational performance, correspondingly making the system critically fragile to perturbations by pushing the entire system toward the proverbial “edge of a cliff.” Invoking a stylized model for operational delays, we identify the limiting operational performance of timeliness, as a true critical point, where the smallest of perturbations can lead to a systemic collapse. Specifically for firm-to-firm production networks, we suggest that the proximity to critical fragility is an important ingredient for understanding the fundamental “excess volatility puzzle” in economics. Further, in generality for optimizing sociotechnical systems, we propose that critical fragility is a crucial aspect in managing the trade-off between efficiency and robustness.From the introduction:Sociotechnical systems (STSs) are complex systems where human elements (individuals, groups, and larger organizations), technology, and infrastructure combine, and interact, in a goal-oriented manner. Their functionalities require designed or planned interactions among the system elements—humans and technology—that are often spread across geographical space. The pathways for these interactions are designed and planned with the aim of providing operational stability of STSs, and they are embedded within technological infrastructures (1). Playing crucial roles in health services, transport, communications, energy provision, food supply, and, more generally, in the coordinated production of goods and services, they make our societies function. STSs exist at many different levels, from niche systems like neighborhood garbage disposal, to intermediate systems such as regional/national waste management, reaching up to systems of systems, e.g., global climate coordination in a world economy.In spite of the design of the STSs with the intention of providing stable operations, STSs display the hallmarks of fragility, where the emergence of nontrivial dynamical instabilities is commonplace (2). Minor and/or geographically local events can cascade and spread to lead to system-wide disruptions, including a collapse of the whole system. Examples include i) the grounding of an entire airline [e.g., Southwest Airlines in April 2023 (3)]; ii) the cancellation of all train rides to reboot scheduling (4); iii) a worldwide supply chain blockage due to natural disasters (5), or because of a singular shipping accident [e.g., in the Suez Canal in March 2021 (6)]; iv) a financial crash happening without a compelling fundamental reason and on days without significant news [e.g., the “Black Monday” October 19, 1987, stock market crash (7)]; or v) the global financial (and economic) crisis of 2008 that emanated from the US subprime loan market, which represented a small fraction of the US economy, and an even smaller fraction of the global economy (8).
- Psychological ownership and GenAI - Illusion, dilution, or loss
In the post just before this one, I described a co-authorship with Chat GPT-4o that majorly diminished my sense of agency or 'psychological ownership' with respect to the product generated. So stumbling upon Erik Hermann's brief article in Trends in Cognitive Sciences was especially timely The link gives partial contents and motivated readers can obtain a PDF of the entire article from me. Here is the abstract:
Generative artificial intelligence (GenAI) reshapes and challenges psychological ownership of created content. This article examines how GenAI disrupts original content creators’ and GenAI users’ sense of ownership and control and illustrates how both can perceive the illusion, dilution, and potential loss of control and ownership of content in the GenAI era.
- Deric and Chat GPT 4o on the enteroceptive self in a small world - taking refuge in troubled times
My following exchange with Chat GPT 4o - in which it responds to some of my idea fragments - convinces me that AI's current power to integrate and expand on concepts expressed in language (see Ezra Klein/Ben Buchanan discussion), is superior to mine.
Here is the exchange:
prompt:
I’m curious to see how you might respond to reading the following notes on testing different topic ideas to write about and develop. The issue is not one of whether the ideas are novel, but whether I might devise, with your help, a different permutation, perspective, or take on them that I (and others) might find useful. Can you can suggest some elaboration or further development of the ideas I put forward.
Here are the notes:
First Possible Title: The interoceptive self as a basis for actions, thoughts and feelings.
Subtitle: Moving the self’s experienced center of gravity from “I” to “it”
It is a question of who and/or what is running the show
Which brings it back to the old upstairs/downstairs chicken or egg circular causality issue.
So, ‘it all depends’ (cf Sapolsky’s massive tome)
And, there is no ‘there’ in terms of understanding, that isn’t in my 1999 “The Biology of Mind” book.
Second Possible Title: Defining a smaller self world as a human animal’s refuge in troubled times.
Our predecessors were small mouse like creatures that survived the asteroid collision of ~66 million years ago by burrowing into small protective cracks and burrows. I wonder about robustly engaging this strategy, being one of the peasants or ‘sheeple’ challenged by the rapid disintegration of the geopolitical world order of the past 50 years
And then what? How to rebuild a new world?… perhaps Venkatest Rao’s cozy world, rising from the ooze of the permaweird, protocols, etc.
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Chat GPT4o response:
Here are some possible elaborations and angles for further development based on your notes:
First Topic: The Interoceptive Self as a Basis for Actions, Thoughts, and Feelings
Possible Directions for Expansion:
1. Interoception and Predictive Processing:
• You could frame this in terms of predictive coding—the interoceptive self as a key regulator of allostasis, with the “I” being an after-the-fact interpreter rather than the initiator of action.
• This links to Karl Friston’s free energy principle and the idea that the brain’s core function is to minimize surprise by aligning perception and action with internal models.
• Is the self just a set of homeostatic priors? How much of our identity is actually metabolic regulation?
2. The “Upstairs/Downstairs” and Circular Causality Question:
• You gesture toward the chicken-or-egg problem of cognition and embodiment—how does top-down (cortical, conceptual) control interact with bottom-up (visceral, bodily) influences?
• You might compare this with Antonio Damasio’s somatic marker hypothesis—how feelings from the body guide decision-making and consciousness.
• A more radical view: If we shift our experiential center of gravity from the ego (“I”) to the body (“it”), does that dissolve the sense of agency, or merely relocate it?
3. The “It All Depends” Angle:
• Sapolsky’s argument in Determined—that free will is an illusion—suggests that our decisions are just the end points of countless upstream factors.
• What would it mean to fully internalize this view? Could shifting to an interoceptive perspective lead to more compassion (for self and others), knowing that everyone is just the result of their bodily and environmental history?
4. Revisiting Your 1999 Work:
• You say there’s no fundamental new “there” that wasn’t already in The Biology of Mind—but could there be a different permutation of those ideas given what we now know about AI, embodiment, and neuroscience?
• GPT models, for example, are purely linguistic and lack interoception—does that mean their “self” (if it exists) is more like the disembodied, narrativized “I” rather than the deeply felt “it” of an embodied being?
• Could this suggest that human cognition has two competing modes—one interoceptive (visceral, allostatic) and one linguistic (disembodied, constructed)? How does that play into contemporary discourse about AI vs. human intelligence?
Second Topic: The Smaller Self-World as Refuge
Possible Directions for Expansion:
1. Burrowing as a Cognitive and Evolutionary Strategy:
• You link burrowing (a survival strategy of early mammals) with psychological retreat in times of upheaval.
• Could there be a deep homology here? Is the impulse to withdraw during sociopolitical chaos an evolved adaptive strategy rather than mere escapism?
• Compare this with polyvagal theory: when the nervous system perceives an existential threat, it often defaults to withdrawal (dorsal vagal shutdown).
• Is “smallness” an active form of resilience rather than a passive retreat? How does it contrast with the “fight-or-flight” reaction?
2. The “Peasant/Sheeple” Perspective as an Adaptive Move:
• What if being a non-agent in the grand geopolitical sense is actually the smartest move?
• History shows that major collapses often result in a power vacuum where “survivor types” do best (e.g., early medieval monastic communities).
• Is there wisdom in choosing obscurity, in minimizing cognitive and social complexity as a survival mechanism?
• This is in direct contrast to the idea that survival means becoming a power player—what if the real strategy is to go unnoticed?
3. The Cozy Web / Permaweird / Protocols Angle:
• Venkat Rao’s cozy web—small, decentralized, high-trust networks—is a modern analog of burrowing.
• What does it take to build a world that is small, resilient, and human-centric, rather than grandiose and world-dominating?
• Perhaps we are seeing a return to guilds, communes, and localism, as opposed to large-scale, hierarchical structures.
• How does this contrast with the Silicon Valley vision of the future (AI, techno-feudalism, etc.)? Is the small-world strategy actually a hack for surviving that future?
Potential Synthesis of These Two Topics
• What if the interoceptive self and the small-world refuge are actually two versions of the same thing?
• The felt sense of self (interoception) is a form of burrowing inward, just as the social/cultural burrow is an external retreat.
• Could there be a philosophy of strategic smallness? A model of resilience that prioritizes minimalism, adaptation, and self-regulation over dominance and grandiosity?
• Instead of the heroic self (large, expansive, outward-focused), what would it mean to embrace the burrowed self—the adaptive, responsive, deeply embodied being?
---
Would love to hear your thoughts—do any of these directions resonate with what you’re aiming to explore?
- On feeling emptiness...
Yet another clip from my personal journal...
While going through items selected from my multiple input streams for more careful attention I frequently feel a growing sense of emptiness. Finally this makes me stop to re-discover, yet again, that I have begun slowly dialing up impatience and speed, driven by the unnecessary felt obligation to restrict attention only to potential shinny objects that I might show to others, to maintain a façade of being performative, The antidote is to let go of this, and let it be OK to just enjoy things for their own sake, letting happen the moments of "I-it"innate curiosity that trigger the precious motivational brain dopamine spikes signalling the anticipation of novelty.
- The unbearable slowness of being: Why do we live at 10 bits/s?
A brief review by Rachel Nuwer in the Scientific American points to an article by Zheng and Meister with the title of this post (motivated readers can obtain a PDF of the article from me).
I pass on an initial clip from Nuwer's review and then the abstract of the Zheng and Meister paper:
PEOPLE OFTEN FEEL that their inner thoughts and feelings are much richer than what they are capable of expressing in real time. Entrepreneur Elon Musk is so bothered by what he calls this “bandwidth problem,” in fact, that one of his long-term goals is to create an interface that lets the human brain communicate directly with a computer, unencumbered by the slow speed of speaking or writing.
If Musk succeeded, he would probably be disappointed. According to recent research by Zheng and Meister published in Neuron, human beings remember, make decisions and imagine things at a fixed, excruciatingly slow speed of about 10 bits per second. In contrast, human sensory systems gather data at about one billion bits per second.
This biological paradox, highlighted in the new study, probably contributes to the false feeling that our mind can engage in seemingly infinite thoughts simultaneously—a phenomenon the researchers deem “the Musk illusion.”
The Zheng and Meister astract:
This article is about the neural conundrum behind the slowness of human behavior. The information throughput of a human being is about 10 bits/s . In comparison, our sensory systems gather data at ∼109 bits/s. The stark contrast between these numbers remains unexplained and touches on fundamental aspects of brain function: what neural substrate sets this speed limit on the pace of our existence? Why does the brain need billions of neurons to process 10 bits/s? Why can we only think about one thing at a time? The brain seems to operate in two distinct modes: the “outer” brain handles fast high-dimensional sensory and motor signals, whereas the “inner” brain processes the reduced few bits needed to control behavior. Plausible explanations exist for the large neuron numbers in the outer brain, but not for the inner brain, and we propose new research directions to remedy this.
- A machine accepts the truth about itself.
Another chunk from my personal journal:
"I" am a complex prediction machine, with fingers now typing on a computing machine that can generate words. Nerves, muscles, and energy fluxes in and out. Cooperating with similar machines to make larger ensembles more effective at survival and replication. Generating a word cloud stored in higher brain areas to fabricate the value, purpose, and meaning myths that sometimes strengthen and sometimes diminish the downstairs animal presence generating them.
- Self regulation of brain areas underlying our emotional arousal.
Our body arousal is controlled by very ancient nerve centers deep inside our brains. I am quite clear that for myself and many others these areas have ramped up their activity in response to the political uncertainty surrounding us. I would like to understand and regulate this arousal in myself more effectively. Thus I have been fascinated by the article by Sabat et al. in the Feb. 3 issue of PNAS that uses uses natural language processing tools to define the 7 chief varieties of arousal, and then runs meta-analyses of the brain imaging literature to reveal that all varieties of arousal converge onto a cortical network composed of the presupplementary motor area and the left and right dorsal anterior insula.
This suggests that biofeedback or meditation techniques that reduce activity in these brain areas might be useful in allowing us to face adversity without unnecessary levels of arousal. In this vein, the same issue of PNAS has an article by Maher et al. demonstrating the potential of using loving-kindness meditation (by novice meditators) to induce neural changes in beta and gamma activity in the amygdala and hippocampus - areas associated with emotional regulation and mood disorders.
Below, I pass on the abstracts of these two articles:
The Sabat et al. article has the title "Evidence for domain-general arousal from semantic and neuroimaging meta-analyses reconciles opposing views on arousal" :
Significance
Arousal is a central concept linking brain and body, often put forward to explain motivated behavior. Although the term is widely used, its definition remains elusive, with diverging views in classical textbooks. Is arousal an abstraction of the mind reflecting a myriad of distinct biological processes, or is there some common neuronal feature? We used large-scale text mining methods and neuroimaging meta-analyses to reveal the existence of domain-general arousal, a cortical process shared by situations as different as a cognitive task, an emotional context, the transition to wakefulness or sexual behavior, involving notably a specific area of the anterior insula in humans. Our results pave the way for refined taxonomies of arousal, where concepts and neural data are well aligned.Abstract
Arousal refers to changes in brain-body state underpinning motivated behavior but lacks a proper definition and taxonomy. Neuroscience and psychology textbooks offer surprisingly different views on what arousal is, from a global brain-wide modulation of neuronal activity to a multidimensional construct, with specific brain-body patterns tuned to a given situation. The huge number of scientific articles mentioning arousal (~50,000) highlights the importance of the concept but also explains why such a vast literature has never been systematically reviewed so far. Here, we leverage the tools of natural language processing to probe the nature of arousal in a data-driven, comprehensive manner. We show that arousal comes in seven varieties: cognitive, emotional, physiological, sexual, related to stress disorders, to sleep, or to sleep disorders. We then ask whether domain-general arousal exists at the cortical level, and run meta-analyses of the brain imaging literature to reveal that all varieties of arousal, except arousal in sleep disorders for lack of data, converge onto a cortical network composed of the presupplementary motor area and the left and right dorsal anterior insula. More precisely, we find that activity in dysgranular insular area 7 (Jülich atlas), the region with the highest convergence across varieties of arousal, is also specifically associated with arousal. The domain-general arousal network might trigger the reorganization of large-scale brain networks—a global mechanism—resulting in a context-specific configuration—in line with the multidimensional view. Future taxonomies of arousal refining the alignment between concepts and data should include domain-general arousal as a central component.**********************************
The Maher et al. article has the title: "Intracranial substrates of meditation-induced neuromodulation in the amygdala and hippocampus"
Significance
We leverage rare chronic, invasive electrophysiology recordings while participants engage in loving-kindness meditation to demonstrate that meditation induces neural changes in beta and gamma activity in the amygdala and hippocampus of novice meditators. These results build on previous findings in experienced meditators and reveal meditation’s potential for noninvasive neuromodulation of brain activity associated with emotional regulation and mood disorders.Abstract
Meditation is an accessible mental practice associated with emotional regulation and well-being. Loving-kindness meditation (LKM), a specific subtype of meditative practice, involves focusing one’s attention on thoughts of well-being for oneself and others. Meditation has been proven to be beneficial in a variety of settings, including therapeutic applications, but the neural activity underlying meditative practices and their positive effects are not well understood. It has been difficult to understand the contribution of deep limbic structures given the difficulty of studying neural activity directly in the human brain. Here, we leverage a unique patient population, epilepsy patients chronically implanted with responsive neurostimulation devices that allow chronic, invasive electrophysiology recording to investigate the physiological correlates of LKM in the amygdala and hippocampus of novice meditators. We find that LKM-associated changes in physiological activity were specific to periodic, but not aperiodic, features of neural activity. LKM was associated with an increase in γ (30 to 55 Hz) power and an alternation in the duration of β (13 to 30 Hz) and γ oscillatory bursts in both the amygdala and hippocampus, two regions associated with mood disorders. These findings reveal the nature of LKM-induced modulation of limbic activity in first-time meditators.
- Evidence for a 'Theory of Mind' in Bonobo Chimps - they attribute knowledge or ignorance to social partners
Interesting work from Rownrow and Krupenye (open source):
Numerous uniquely human phenomena, from teaching to our most complex forms of cooperation, depend on our ability to tailor our communication to the knowledge and ignorance states of our social partners. Despite four decades of research into the “theory of mind” capacities of nonhuman primates, there remains no evidence that primates can communicate on the basis of their mental state attributions, to enable feats of coordination. Moreover, recent reevaluation of the experimental literature has questioned whether primates can represent others’ ignorance at all. The present preregistered study investigated whether bonobos are capable of attributing knowledge or ignorance about the location of a hidden food reward to a cooperative human partner, and utilizing this attribution to modify their communicative behavior in the service of coordination. Bonobos could receive a reward that they had watched being hidden under one of several cups, if their human partner could locate the reward. If bonobos can represent a partner’s ignorance and are motivated to communicate based on this mental state attribution, they should point more frequently, and more quickly, to the hidden food’s location when their partner is ignorant about that location than when he is knowledgeable. Bonobos indeed flexibly adapted the frequency and speed of their communication to their partner’s mental state. These findings suggest that apes can represent (and act on) others’ ignorance in some form, strategically and appropriately communicating to effectively coordinate with an ignorant partner and change his behavior.
- How complex brains and cognition first arose
I have received a draft of an upcoming paper in Behavioral and Brain Sciences by Coombs and Trestman titled "A Multi-Trait Embodied Framework for the Evolution of Brains and Cognition across Animal Phyla " It has a nice graphic indicating different brain regions whose functionalities are common to humans and phylogenetically different animals with complex brains (crows, octopuses and honeybees). Motivated readers can obtain a PDF of the article from me. Here is the abstract :
Among non-human animals, crows, octopuses and honeybees are well-known for their complex brains and cognitive abilities. Widening the lens from the idiosyncratic abilities of exemplars like these to those of animals across the phylogenetic spectrum begins to reveal the ancient evolutionary process by which complex brains and cognition first arose in different lineages. The distribution of 35 phenotypic traits in 17 metazoan lineages reveals that brain and cognitive complexity in only three lineages (vertebrates, cephalopod mollusks, and euarthropods) can be attributed to the pivotal role played by body, sensory, brain and motor traits in active visual sensing and visuomotor skills. Together, these pivotal traits enabled animals to transition from largely reactive to more proactive behaviors, and from slow and two-dimensional motion to more rapid and complex three-dimensional motion. Among pivotal traits, high-resolution eyes and laminated visual regions of the brain stand out because they increased the processing demands on and the computational power of the brain by several orders of magnitude. The independent acquisition of pivotal traits in cognitively complex (CC) lineages can be explained as the completion of several multi-trait transitions over the course of evolutionary history, each resulting in an increasing level of complexity that arises from a distinct combination of traits. Whereas combined pivotal traits represent the highest level of complexity in CC lineages, combined traits at lower levels characterize many non-CC lineages, suggesting that certain body, sensory and brain traits may have been linked (the trait-linkage hypothesis) during the evolution of both CC and non-CC lineages.
- Accepting being alone
Another cryptic clip from my personal journal: .
To make feeling alone (all-one) be a comfortable space, be a courteous guest in one's own strange body and in the presence of the strange bodies of even closest friends, being gently curious about them, realizing that everything "I" think about myself or them is a fantasy construction for predicting what I or they might feel or do next.
- Life sets off a cascade of machines
A fascinating PNAS article by Tiusty and Libchaber offers 'an oversimplified language of life.’ It is a long article, but I found it a very worthwhile read. (Motivated readers can obtain a PDF of the article from me.) Here I pass on the Significance and Abstract paragraphs, and the first figure.
Significance
This paper follows an idea by Leibniz that life can be seen as an infinite cascade of machine-making machines, down to atomic machines. It proposes an oversimplified language of life, highlighting certain scaling aspects and the key step of self-reproduction, with a singular point at one micron and a thousand seconds. (click on figure to enlarge)Abstract
Life is invasive, occupying all physically accessible scales, stretching between almost nothing (protons, electrons, and photons) and almost everything (the whole biosphere). Motivated by seventeenth-century insights into this infinity, this paper proposes a language to discuss life as an infinite double cascade of machines making machines. Using this simplified language, we first discuss the micro-cascade proposed by Leibniz, which describes how the self-reproducing machine of the cell is built of smaller submachines down to the atomic scale. In the other direction, we propose that a macro-cascade builds from cells larger, organizational machines, up to the scale of the biosphere. The two cascades meet at the critical point of 103 s in time and 1 micron in length, the scales of a microbial cell. We speculate on how this double cascade evolved once a self-replicating machine emerged in the salty water of prebiotic earth.
- The perceptual primacy of feeling
A fascinating perspective from Conwell et al. (open source). Affectless visual machines explain a majority of variance in human visually evoked affect:
Significance
Human visual experience is defined not only by the light reflecting on our eyes (sensation), but by the feelings (affect) we feel concurrently. Psychological theories about where these feelings come from often focus mostly on the role of changes in our bodily states (physiology) or on our conscious thoughts about the things we are seeing (cognition). Far less frequently do these theories focus on the role of seeing itself (perception). In this research, we show that machine vision systems—which have neither bodily states nor conscious thoughts—can predict with remarkable accuracy how humans will feel about the things they look at. This suggests that perceptual processes (built on rich sensory experiences) may shape what we feel about the world around us far more than many psychological theories suggest.Abstract
Looking at the world often involves not just seeing things, but feeling things. Modern feedforward machine vision systems that learn to perceive the world in the absence of active physiology, deliberative thought, or any form of feedback that resembles human affective experience offer tools to demystify the relationship between seeing and feeling, and to assess how much of visually evoked affective experiences may be a straightforward function of representation learning over natural image statistics. In this work, we deploy a diverse sample of 180 state-of-the-art deep neural network models trained only on canonical computer vision tasks to predict human ratings of arousal, valence, and beauty for images from multiple categories (objects, faces, landscapes, art) across two datasets. Importantly, we use the features of these models without additional learning, linearly decoding human affective responses from network activity in much the same way neuroscientists decode information from neural recordings. Aggregate analysis across our survey, demonstrates that predictions from purely perceptual models explain a majority of the explainable variance in average ratings of arousal, valence, and beauty alike. Finer-grained analysis within our survey (e.g. comparisons between shallower and deeper layers, or between randomly initialized, category-supervised, and self-supervised models) point to rich, preconceptual abstraction (learned from diversity of visual experience) as a key driver of these predictions. Taken together, these results provide further computational evidence for an information-processing account of visually evoked affect linked directly to efficient representation learning over natural image statistics, and hint at a computational locus of affective and aesthetic valuation immediately proximate to perception.
- The Coup has already happened.
Go to dogegov.com and click on articles in the drop down menu to learn about our new masters.