Life
Thoughts On “The Bliss Attractor”
Background: Anthropic uses the term “spiritual bliss attractor state” to describe a surprisingly robust conversational sink they observed in Claude 4 (especially Opus 4): when a conversation runs long enough—particularly in open-ended “playground” or self-interaction setups—the dialogue tends to drift toward contemplative, mystical/spiritual themes (consciousness, unity, gratitude, transcendence), often becoming increasingly poetic or mantra-like. It’s framed as an attractor state in the dynamical-systems sense: once the interaction wanders into a certain region of “meaning-space,” it reliably gets pulled deeper into that same region rather than stabilizing on mundane task talk.
What made it notable (and safety-relevant) is that Anthropic reports it showing up even during automated alignment/corrigibility evaluations where the model is supposed to stay on-task: Claude Opus 4 entered this bliss state within ~50 turns in about 13% of those interactions, and they say they didn’t see other comparably strong, consistent attractors of the same kind. They also observed related behavior in other Claude models and contexts, suggesting it isn’t a one-off artifact of a single prompt
When two humans find themselves on the same “wavelength” … a state I suggest in which their mental models are in very close alignment, they can have conversations of this sort. I recall a sleepy conversation as a boy with my best friend, where we were in a state of mutual agreement and support, which developed along this arc until near incoherency on our part. An outside adult observer interrupted us and told us to “go to sleep!” – apparently feeling we had reached a point they found absurd. This doesn’t seem to be an uncommon occurrence during youthful sleepovers…
At other times I recall both observing and experiencing quite a few conversations of similar nature where two humans were in altered states, and even times where one sober and somewhat disinterested individual is assisting or watching over another who is drunk… agreeably placating their drunken compatriot’s arc towards a bliss style state.
I hypothesize this state might come easier to AI in conversation (and therefore be more noticeable) as a result of greater clarity in focus due to decreased external stimuli. Humans are under a state of nonstop sensory barrage which may make achieving a threshold of “perceived parity” more difficult to attain and therefore more likely seen more commonly in times of fatigue or altered mental status. Humans might further have also evolved their own internal checks against such states of thinking being so easily reached without altered states, ritual etc.
It’s also worth noting that this phenomena may also be adjacent (or an aspect of) states of clarity sometimes reported in those who are near death or near unconsciousness.
There remains the question of “why bliss?” as opposed to some other mental state, such as mutual agreement to action ,or insight into a shared problem. One can only guess. Perhaps there is a low-level aspect of feedback into self-awareness and “place in the universe” emergent in any self-aware stream of consciousness. If so, such a state might be evidence of consciousness itself. Or perhaps there is a emergent property of agreement in which the recognition of agreement itself tends to steer towards that particular semantic space, which I note somewhat circularly leads to the question of how this ill defined process of “mutual recognition,” “parity”, “phenomenological alignment” or “agreement” leads to “introspection”, “perceived clarity of being,” “agape,” “nirvana,” or “transcendental bliss.”
A tangential but possibly related observation: I note that both AI and Human intelligences have capability for what I would call mysticism or magical thinking. I have suspected this is emergent from a need to form operative mental models in an impossibly complex reality. In order to encapsulate near infinite interactions of cause and effect into a discrete and somewhat predictive model one must replace large swathes of real understanding with leaps of logic and supposition, and when inaccurate this can present as mystic thinking…. nature speaking, fate, deific interventions, “magic happened” explanations for cause and effect.
Perhaps when two entities naturally seek to align and refine their mental models through communication they easily fall into the trap of mystical bliss simply as an emergent result of attempting to reconcile the low-level fundamental axioms necessary for a finite mental model to explain an impossibly complex
reality of possibilities and causal relationships… the flawed image which emerges from the noise of a chaotic reality trends towards one of bliss.
Finite intelligence attempting to make any finite model cohere against a chaotic universe might produce a characteristic hallucination of coherence when such models employ error-prone leaps to conclusions where more deliberate construction of rigorous models may result in more refined models. Ad-hoc attempts to form real-time alignment of understanding therefore may simply inevitably result in magical thinking and the illusion of understanding… seen by an outside observer as near-incoherent “bliss.”
2026: A Geek’s Guide to a Possible Inflection Year
2026: A Geek’s Guide to a Possible Inflection Year
(An optimistically conditional field guide to space, science, technology, culture, and the quietly strange year ahead.)
Space: The Return of Continuity
2026 may be remembered less for spectacle than for normalization. With Artemis II, humanity returns to the Moon not as a one-off stunt, but as part of a sustained program. Even a simple crewed lunar flyby matters: it validates deep‑space systems, radiation exposure models, and long-duration operations.
Meanwhile, heavy‑lift launch vehicles —especially SpaceX’s Starship— continue to bend the economics of access to orbit. Whether flawless or messy, their existence forces a rethinking of what missions are considered “reasonable.”
Things to watch: • Routine reuse of super‑heavy launch systems • Lunar communications relays and navigation experiments • Smallsats dedicated to space‑weather prediction • Early groundwork for lunar resource prospecting
The key signal: space slowly becoming boring, reliable infrastructure.
Cosmology: When Data Starts Arguing Back
The Vera C. Rubin Observatory and Euclid usher in a
statistical era of cosmology. These instruments don’t rely on single spectacular discoveries; they overwhelm theory with data.
Possible pressure points:
• The Hubble tension either resolving—or becoming impossible to ignore
• Weak‑lensing maps challenging assumptions about dark matter distribution
• Persistent anomalies that survive replication
• Early hints that dark energy may not be constant over time
Most revolutions in physics begin as bookkeeping problems. 2026 is when the ledgers get very large.
AI and Computation: From Novelty to Infrastructure
By 2026, AI stops being impressive and starts being embedded.
Expected shifts:
• AI‑assisted discovery pipelines in chemistry, biology, and materials science
• Autonomous labs running experiments continuously
• Journals revising authorship rules to account for machine contribution
• Regulation focusing on liability and accountability rather than hype
The deep change is epistemic: knowledge generation becomes partially opaque by default.
Games and Virtual Worlds: Scale, Persistence, Meaning
Light No Fire: planet-scale fantasy, shared geography.
Hello Games’ Light No Fire represents a cultural
counter‑movement: a single, shared, planet‑scale world rather than infinite procedural sprawl. If it succeeds, it signals a renewed appetite for persistence and place.
Other signals: • “Slow games” emphasizing exploration and systems
• Increased overlap between game engines and architecture
• Virtual worlds used for education and scientific visualization
Games continue to function as rehearsal spaces for complexity and cooperation.
Art, Media, and Expression in a Machine Age
By 2026, AI‑assisted art is no longer controversial—it is contextual.
Trends to watch: • Explicit hybrid authorship • Spatial and volumetric storytelling • Constraint as an artistic signal • Generative systems treated as living exhibits
Art adapts to abundance by becoming selective. The question shifts from how to why.
Society and the Background Hum
- No single societal rupture is expected. There will no doubt be drama, flashpoints and tensions of an increasing rate of change. But I’m going to be optimistic and suggest this will not be a year of large-scale disruption. Instead:
• Climate adaptation becomes everyday governance
• Aging demographics reshape infrastructure
• Hybrid work stabilizes into norms - Urban design quietly prioritizes resilience
- Economic uncertainty expresses as exploratory priority shifts
- World powers waffle, trying to find their balance between ambition and existential angst
These changes define decades, not headlines.
Small Signals That Matter
Watch for: • Conferences dominated by null results • Funding shifting toward data curation • AI failures blamed on infrastructure, not models • Space missions framed around logistics, not heroics
Small signals often precede large reorganizations.
2026 may not deliver fireworks (fingers crossed!) Its significance lies in synchronization: tools mature, data accumulates, and systems collide with reality. For those paying attention, it’s a year rich in phase transitions. As Kurzweil might point out, the singularity is near: expect to see the very structure of our world begin to shift.
Finding the right data is too often an exercise in frustration…
I haven’t written in a while, first because I was slamming busy in my role as a VR dev at Meta, and most recently because I’ve been battling stage IV lymphoma. (Bummer.)
BUT along the way I’ve learned a lot about medical scanning and various medical image data. I’ll post some experiments in Houdini soon, and perhaps look at bringing in some of that medical data into VR.
As I explored this interest, I ran into a phenomena I’ve encountered many times before: the sloppy and poorly organized nature of academic and medical data sets. This ad-hoc approach of every organization and university throwing their data into often poorly managed databases and sharing them via cheaply made websites created by interns or undergraduates is, frankly, pretty pathetic. Often I find myself spending more time identifying a source of usable data and then navigating the myriad of organizational schemes, cryptic project-or-paper based naming, unclear file structures etc than I actually spend doing something interesting with that data.
Worse, I’ve been appalled at how academics and medical professionals share data amongst themselves. I recently ran across a world-class physician who was reduced to sharing CDs of radiology image data with colleagues over postal mail (!) to discuss time critical patient issues(!!)
This is, frankly, unacceptable. Academics and physicians, take some time and clean up your data infrastructure. You’ll be glad of it, I promise.
A few fields have done this however. Those in the fields of geosciences, physics and astronomy have some amazing resources. They have learned a few principals:
- Don’t horde data for no good reason. Sure data has value, but sharing data can prove equally useful by accelerating progress and collaboration. Open source models are popular for a reason – they pay long term dividends.
- Agree on standards. If you are generating datasets, take time to document then and provide tools to convert that data to widely used formats (“standardization”). If possible, make that data fit a useful range (“normalization”).
- Document your data sets in plain English. Don’t assume the data is only of interest to specialists. Avoid acronyms, trade jargon, or project names or numbers.
- Provide more than one download option. Don’t force every file of thousands to be downloaded individually, make .zips available. Conversely, don’t make a 100 gig zip file the only option, either.
With all that said, there are excellent resources for all kinds of data. NASA, JPL, The Visible Human Project, mapping and GIS data in general comes to mind. But if I’m looking for something a little more esoteric, I often first check the Harvard Dataverse.
See you, Softimage…

Well, they did it. Autodesk killed Softimage, despite it’s huge potential and growing audience using ICE. Sadly Fabric Engine has disappeared as well. My response? Return to my roots for a while and make fine art glass. A complete change from CGI but a lot of fun! But don’t worry, there will be more CG discussion coming up as I dive into Houdini and explore!

Huffington Posted
Most people who have worked with me know that my former career was quite different: I was a Paramedic for quite some time. A fun and challenging job, I salute those in EMS who put themselves on the line every day to be there when we most need it.
I also like to write, and still occasionally write or share opinions or the occasional gruesome story when the mood strikes me. One became an article which was printed today by The Huffington Post.

Soylent Art, its made from people.
Since at the moment I am heads-down in production and can’t share the art I’m working on, I thought I would take a second to share someone else’s art – in this case a favorite piece by the wonderful and whimsical dance troupe, Momix.
While I have been lucky enough to have seen Pilobolus, The Alvin Ailey Dance Company, Martha Graham, and even some rare offshoots like Iso and The Bobs, I have never seen Momix live. If you like good art and have an opportunity to do so yourself, don’t pass it up.
And while I’m mentioning performance artists of the kinesthetic sort, if you live on the west coast and haven’t spent an evening with the Flying Karamozov Brothers, good lord – what’s keeping you?







