The printing press, global transport, radio, internet, and social media contributed to the exponential drift between agency and being on autopilot.

LLMs are now showing us in spectacular fashion the harsh truth of it.

I don’t judge though. This is all the price we’re paying for our collective brains that evolved under the assumption of scarcity and the need to process SEVERAL orders of magnitude LESS information.

People wonder why things are so inefficient and there is so much bureaucracy - because we’re more interested in wasting time while filling our pockets than doing the actual things that matter.

The long-time stigma of mental health has also prevented many people from gaining conscience over their cognitive distortions, and the culture of appearances only amplified lack of rigorous thinking and methodology.

Some potential/(more or less) speculative use cases:
1. AI interpretability
2. Low-power compute
3. Direct mapping raw data - mathematical models
4. Cross-domain scientific research
5. High-precision physics simulations
5. Manage heterogenous/distributed compute/systems
6. Software/hardware design

By the way you might find this interesting bsky.app/profile/jgal...

But math/physics just might bsky.app/profile/jgal...

Wheee type geometry!

The engine also implements an homeostatic/adaptive mechanism inspired by Maxwell’s Demon, capable of optimized runtime execution based on code introspection and modification, with optional additional tuning for hardware resource awareness or third-party extensions for domain-specific intelligence.

References:
- Carnot, Clausius et al, 1850
- James C. Maxwell, 1867
- Schönfinkel, Curry et al, 1920s
- Alonzo Church, 1930s
- Stephen Wolfram et al, 1980s-
- Karl Friston et al, 2010s-

The image, taken from a prototype computational analysis engine/VM/hypervisor (Patent Pending Nov 2025), shows a histogram and spectrogram of information loss for a MOD EXP 3^(N mod 5), N=40).

Oh but I did 😉 happy new year!

Happy new year! So… people make predictions and models of the future all the time, it stands to reason that a think tank assembled explicitly for that purpose would produce at least a well-educated guess? Don’t really understand where you’re getting at.

(The rest of the list)

Fascinating. This person should look at the Mayan Tzolk’in and its new age interpretations. Not as an ontology, but because of how they attempt to encode meaning in this cyclical/self-referential structure of time/space.

It seems to me a sci-fi browser based MMO. Perhaps with a similar narratives. But I feel like I’m missing your point?

What am I looking at?

We started programming nature and ourselves to be the type of intelligence that suited us. Math/science, electricity and computers just made it faster.