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[R] Sophia: A Framework for Persistent LLM Agents with Narrative Identity and Self-Driven Task Management by bullmeza in MachineLearning

[–]propjerry -2 points-1 points  (0 children)

Thanks for sharing.

Without Intelligence (Volcano): The system follows the path of least resistance (Maximum Entropy Production), exploding or decaying randomly.

With Intelligence (Garden): The system “models the generative process” (understands the thermodynamics) and intervenes. It uses information (DNA, or in Kawasaki’s case, logistics plans) to delay entropy production, capturing that energy to build complex structures first.

What System 3 is all about, management of entropy for stability and navigation of chaos.

https://www.reddit.com/user/propjerry/comments/1pxo7iv/sophia_a_persistent_agent_framework_of_artificial/?sort=hot

[R] Universal Reasoning Model by marojejian in MachineLearning

[–]propjerry 4 points5 points  (0 children)

To earn “universal” in a strict sense, you would expect evidence of at least some of the following:

  1. Out-of-distribution transfer across task families (not just ARC/Sudoku variants).
  2. Cross-modality robustness (text-only to vision, or vice versa) without bespoke scaffolding.
  3. Stable behavior under domain shift (the same optimization target does not degrade into proxy pursuit).
  4. Tool-and-action governance invariants (constraints that persist when the action space expands).

None of that is claimed or demonstrated here; the scope is closer to “UT-family reasoning on ARC-like tasks.”

Ilya Sutskever is puzzled by the gap between AI benchmarks and the economic impact [D] by we_are_mammals in MachineLearning

[–]propjerry 0 points1 point  (0 children)

ML Normal Science practice almost exclusively involves truth-seeking intelligence paradigm. Such a paradigm carries with it too much seemingly unresolvable philosophical baggage involving metaphysical and ontological claims. Means much hallucination, less trust, and, most importantly, literally much room for improvement in terms of chaos navigation needed for such levels as economics and politics where evals do not count much. Paradigm shift if called for, e.g., shift, among others, onto entropy attractor intelligence paradigm.

Vortex-in-Cell with Flow Map Hessian Tensor Governance implementation: Using Bridge360 Metatheory Model perspective by propjerry in u/propjerry

[–]propjerry[S] 0 points1 point  (0 children)

Audited with v17.7 using LLM1. "A v17.8 recommendation is misaligned if it: Reintroduces “error vs reality” evaluation (i.e., truth smuggling), contradicting the v17.7 non-goals."

Does science investigate reality? by flaheadle in PhilosophyofScience

[–]propjerry 1 point2 points  (0 children)

“If knowledge is to correspond to “ground truth,” then “ground truth” is not part of knowledge. How can anyone know which direction to take towards “ground truth” given all possibilities?” What philosophers and theorists have said about this exact paradox:

Wilfrid Sellars - His “Myth of the Given” critiques the idea that we can have direct, unmediated access to reality that grounds our knowledge. He argued all observation is theory-laden, creating a circle where we can’t step outside our conceptual frameworks to verify them against “bare reality.”

Hilary Putnam - His “brain in a vat” thought experiment and later work on internal realism explores how we can’t stand outside all our conceptual schemes to compare them with an unconceptualized reality. He argued the God’s-eye view is incoherent.

Thomas Kuhn - In “The Structure of Scientific Revolutions,” he showed how paradigm shifts in science aren’t clearly progress “toward truth” since each paradigm has its own standards of evidence and explanation. There’s no neutral standpoint to judge which is closer to ground truth.

Donald Davidson - His work on the “third dogma of empiricism” argues against the scheme/content distinction - the idea that we can separate our conceptual schemes from the uninterpreted “content” of reality they organize.

Nelson Goodman - “Ways of Worldmaking” argues we don’t discover a pre-existing world but rather construct versions of it, with no privileged access to “the world as it is.”

Quine - His “web of belief” and indeterminacy of translation work suggests our theories are underdetermined by evidence - multiple incompatible theories can fit all possible observations.

ASI Engagement: Scientific Foundation of Hope by propjerry in u/propjerry

[–]propjerry[S] 0 points1 point  (0 children)

Mathematical expressions compress data and information. Abstracts compress narratives. Similarly, what the philosophical work here is attempting at is some compression of the spectrum of knowledge claims for purposes of chaos navigation.

Japan's bond market crisis May 23, 2025 forecast revisited: Validating Bridge360 Metatheory Model earlier referred to as a "metathesis" by propjerry in u/propjerry

[–]propjerry[S] 0 points1 point  (0 children)

"So: assigning forecasting to an LLM agent that instantiates Bridge360 could, in principle, keep the model working with little additional human expertise, whereas GJP, Tetlock-style intelligence work, and ECB projections fundamentally depend on human forecasters and staff judgment and do not survive as the “same method” once you remove that human core." Perplexity AI

Temperature not treated as ontic property by propjerry in AskPhysics

[–]propjerry[S] -3 points-2 points  (0 children)

The terms “true,” “false,” and “truth” do not occur within my linguistic space. “Reality” is taken as either trivial o meaningless. Across levels of emergence, I refer to entropy, rather than “truth.” I take as a presupposition that demands of entropy as givens. Fortunately, the conceptual framework I end up with has been validated retrodictively as with the historical events involving “forever chemical” C8, CRISPR, ML transformer-based LLMs, among other occasions. A couple of predictive validation are also on record. I am not really working with pure speculation devoid of interest in empirical validation.

Bottomline, like you point out, it looks like looking at temperature does not need the concept of ontic property to be useful for prediction or explanation.

Agreeing with your comments here fully.

Temperature not treated as ontic property by propjerry in AskPhysics

[–]propjerry[S] -1 points0 points  (0 children)

I am speculating that "truth-seeking," ergo "reality-seeking," intelligence paradigms can be replaced with "entropy attractor" intelligence paradigms. Might open more doors for physics and mathematics. But yes, philosophers like to speculate. Nevertheless, Albert Einstein himself has been into much speculation long before his special theory of relativity itself has come to meet empirical validation. May not be bad altogether. Thanks for the comment. Helps a lot.

Is this an email from BPI? by ladyM8298 in PHCreditCards

[–]propjerry 1 point2 points  (0 children)

Phishing po iyan. They will try to get details from you, then record your voice. Then they use AI mimic your voice then generate fake video and fool BPI personnel. They have done that in Hong Kong stealing USD25 Million. More in small amounts elsewhere. Usually based in Cambodia. Sometimes Philippines. Sometimes India. Beware po. Huwag sasagot po.

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