# created ```dataview LIST WITHOUT ID file.link FROM -"windsurf" WHERE file.cday = date(this.file.name) AND !startswith(file.folder, "windsurf") SORT file.cday ASC ``` # modified ```dataview LIST WITHOUT ID file.link FROM -"windsurf" WHERE file.mday = date(this.file.name) AND !startswith(file.folder, "windsurf") SORT file.mday ASC ``` --- # [[diary and thoughts]] #thought #diary --- [[TODO Revision Guide for Sections 1–4 of the LLM Aesthetics Draft]] # Section 5 and [[Early Section]] 6 – Paragraph-by-Paragraph Plan (Reasoning Focus) #paper/environmentalaestheticsofai _Constraints to keep in mind when drafting from this plan:_ - This is Section 5 (and the [[first part]] of Section 6) of a long paper. Avoid repeating technical material or arguments from Sections 2–4 except in very compressed, orienting form. - Do **not** use the terms “simulator” or “simulation” in the paper. - Avoid metaphors and analogies in the exposition (no talk of “forces”, “landscapes”, “worlds”, “fields”, etc.). Stick to literal talk of sequences, regularities, regimes, constraints. - Use "[[semiotic physics]]" throughout, not "[[text mechanics]]". Add a brief footnote the [[first time]] the term appears, noting the connection to existing work that uses this label, and that the present use is related but adapted for aesthetic purposes. - Section 6.1 (the part planned here) will focus on _reasoning-style_ LLM outputs as a deliberately “banal” but revealing test case for [[order appreciation]]. --- ## Section 5 – [[Semiotic Physics]] as an Order-Based Framework for LLM-Mediated Chats ### §5, Paragraph 1 – Orientation and task statement **Function:** [[Place Section]] 5 in the overall dialectic and state its aim. **Content:** - One sentence recalling, at a high level, that Section 3 argued against person-based appreciation and Section 4 argued that purely design-based appreciation is incomplete for LLMs. - State that this section develops a third mode of appreciation inspired by Carlson’s [[order appreciation]]: an order-based mode for individual LLM-mediated chat episodes. - Announce that this mode will be guided by [[what you]] call _semiotic physics_ – a mid-level description of how a given model tends to produce and organise language [[over time]]. **Do not:** - Rehearse details of Sections 2–4. - Introduce [[semiotic physics]] in detail yet; just name it and flag its role. --- ### §5, Paragraph 2 – Carlson’s demand for a non-aesthetic story that makes [[order visible]] **Function:** Reconnect to Carlson’s abstract template in a compact way, preparing the analogy with geological vs chemical-physical levels. **Content:** - Restate briefly that, for nature, Carlson holds that appropriate appreciation depends on a “general nonaesthetic and nonartistic story” that makes the order of an environment visible and intelligible (quote Carlson 2000, p. 119). - Mention geology, ecology, and meteorology as familiar examples of such background stories: they explain how observable structures (valleys, vegetation patterns, cloud formations) result from identifiable processes over time. - Emphasise that these disciplines supply _categories_ (strata, faults, erosion channels, niches, fronts) that can be used directly as ways of looking when one attends to an environment. **Do not:** - Go into detail about Arp or automatic poetry here; that will be used later in Section 6. - Use imagery beyond what is in Carlson’s own wording. --- ### §5, Paragraph 3 – Fundamental vs mid-level sciences: chemical physics vs geology **Function:** Introduce the idea that multiple scientific descriptions can in principle ground order appreciation, but mid-level ones whose categories match perceptible structure are more usable for Carlson’s purposes. **Content:** - Reuse and lightly edit the existing paragraph about chemical physics and geology. - Make three points explicit: 1. Nothing in Carlson’s framework _in principle_ rules out building an order-based aesthetics of nature on more fundamental sciences such as chemical physics. 2. For practical explanatory purposes, geology is the better starting point, because its categories map relatively directly onto features that are available to ordinary perception and so can guide acts of aspection. 3. Chemical-physical descriptions deal in microstructural details that do not align as straightforwardly with visible macroscopic features, making it harder to show how they guide lay appreciation, even if they could in principle play a similar role. **Do not:** - Suggest that a chemical-physics-based aesthetics is impossible; keep the “in principle available but not our focus” stance. --- ### §5, Paragraph 4 – LLM analogue: naïve personification, mechanistic interpretability, and a semiotic alternative **Function:** Transfer the pattern to LLMs: distinguish naïve personification, low-level interpretability work, and a mid-level semiotic option. **Content:** - Adapt the existing paragraph on LLMs, mechanistic interpretability (MI), and naïve reading. - Explicitly distinguish three approaches: - (i) Naïve reading: treating the model’s outputs as the sayings of a subject with beliefs, intentions, and projects (already criticised in Section 3). - (ii) Low-level scientific work such as mechanistic interpretability and causal interventions, which study internal structures (attention heads, neurons, circuits) and the effects of perturbations. - (iii) A mid-level, semiotic approach that focuses on regularities in the model’s textual input–output behaviour. - State that MI and related methods can, _in principle_, supply the sort of non-aesthetic story Carlson describes: they explain how particular internal structures contribute to behavioural patterns. - Draw the parallel with chemical physics: MI uses categories (specific heads, neurons, circuits) that are far removed from the patterns an ordinary reader is aware of when reading outputs, so it is less straightforward to show how MI knowledge might guide everyday acts of aspection over texts. **Do not:** - Dismiss MI; keep the “for present purposes” qualification clear. - Re-argue the person case; just remind the reader it was set aside in Section 3. --- ### §5, Paragraph 5 – Motivation for focusing on semiotic physics **Function:** Justify focusing, in this paper, on semiotic physics as the main background for an order-based aesthetics of LLM chats, without ruling out other scientific levels. **Content:** - Make the explicit analogy: geological categories align with visible structure; semiotic categories align with what LLM users actually see, namely sequences of text. - State that semiotic physics is adopted here as the primary candidate for Carlson’s “right kind of knowledge” in the LLM case because: - it does not personify the system, - it respects the technical baseline about how LLMs work (from Section 2), and - it connects directly to textual patterns that readers encounter. - Add one sentence explicitly stating that this choice does **not** exclude the possibility that mechanistic interpretability or lower-level descriptions might support more specialised aesthetic approaches; the present focus is on a framework that can be applied using the texts themselves. **Do not:** - Claim exclusivity for semiotic physics; it is the most apt for the current project, not the only possible one. --- ### §5, Paragraph 6 – Stipulative definition of "semiotic physics" (for this paper) **Function:** Define "semiotic physics" in precise, non-metaphorical terms as it will be used in the rest of the paper. **Content:** - Define semiotic physics as the systematic description of how, for a fixed trained LLM and a fixed sampling procedure, sequences of linguistic tokens produced by the model tend to extend and transform given different preceding sequences and prompts. - Clarify explicitly: - that the "states" under consideration are entire sequences of tokens that include the prompt (or recent prompt history) and the generated tokens so far; - that the model’s learned conditional probability distribution over next tokens, together with the sampling policy, jointly determine how states are extended. - Add a footnote at the first occurrence of "semiotic physics": - cite the existing semiotic-physics work; - note that the current usage is related but adapted to the aesthetic context, with an emphasis on observable input–output regularities rather than on a full mathematical formalisation. **Do not:** - Use terms like "forces" or "worlds"; keep the description in terms of sequences, mappings, probabilities. --- ### §5, Paragraph 7 – Semiotic all the way down: linguistic signs as basic units **Function:** Emphasise that semiotic physics, as understood here, is about linguistic signs throughout. **Content:** - State that the basic units in this semiotic physics are linguistic signs: tokens corresponding to words, subwords, or symbols in natural languages and related notations. - Note that the model’s transition behaviour has been learned from extensive text corpora, so the regularities captured are regularities in how these signs co-occur and succeed one another in human linguistic practice. - Explain that post-training and product-level constraints (RLHF instructions, system prompts, safety policies, rating rubrics) also act through language: they are expressed as text and affect which signs are more or less likely to appear in particular contexts. - Conclude that, in this framework, the "material" that semiotic physics describes is entirely linguistic: configurations of signs and their learned patterns of continuation. **Do not:** - Reintroduce embeddings or vector spaces here; keep the focus on signs and sequences. --- ### §5, Paragraph 8 – The imprint of vast textual culture **Function:** Connect semiotic physics to the fact that LLMs are trained on very large, heterogeneous text corpora and so implicitly encode a broad range of genres, discourses, and styles. **Content:** - State that contemporary LLMs are trained on extremely large and varied text corpora that include fiction, poetry, journalism, academic writing, technical manuals, online discussion, and so on. - Explain that, as a result, the model’s semiotic behaviour reflects not only local token statistics but also higher-level regularities in "text culture": - which genres are associated with which tasks (expository style for definition questions, narrative style for story prompts, etc.); - how arguments, explanations, and narratives are typically structured in different domains; - which registers and tones are prevalent in different contexts. - Emphasise that semiotic physics therefore tracks patterns that derive from this compressed imprint of textual culture, not just from low-level formatting habits. **Do not:** - Use evaluative language here; this paragraph is still descriptive. --- ### §5, Paragraph 9 – Regimes, attractors, and transitions in semiotic terms **Function:** Introduce the semiotic-physics notions of regimes, attractors, and transitions, but recast them strictly in linguistic/discursive terms (no physics metaphors). **Content:** - Explain that, at a useful level of description, a given model exhibits relatively stable **regimes** of behaviour: clusters of genre, register, and discursive stance that it tends to occupy for stretches of text (for example, Wikipedia-like expository answers, therapeutic advice style, high-level TED-talk summaries, chain-of-thought reasoning sequences). - Describe **attractors** as especially stable regimes that the model repeatedly enters under many prompts (for instance, a safety-optimised refusal pattern, or a standard "helpful assistant" explanatory mode). - Describe **transitions** between regimes as systematic ways in which certain prompts, prompt framings, or intermediate continuations lead the model from one regime into another (for example, from generic exposition into a more narrative mode, or from neutral explanation into a moralising advisory style). - State that semiotic physics, in this sense, aims to map these regimes, characterise their typical forms, and describe the usual transitions and departures between them. **Do not:** - Use physical metaphors (no "basins", "fields", etc.). --- ### §5, Paragraph 10 – Classes of regularities of interest (including reasoning regimes) **Function:** Specify the main classes of regularities that semiotic physics targets, emphasising both low-level and high-level patterns, and explicitly including reasoning regimes. **Content:** - List and briefly characterise several classes of semiotic regularities that will be relevant later: - Low-level structural habits: list formats, stock hedging phrases, refusal templates, recap sentences. - Genre and register preferences: tendencies to respond in encyclopedic, journalistic, conversational, or academic styles depending on prompt type. - Discursive stance patterns: explanatory, argumentative, narrative, advisory, confessional. - **Reasoning regimes**: relatively stable ways the model tends to organise explanatory and justificatory language into stepwise structures, especially when asked to "think step by step" or "show the reasoning". - Hybridisation tendencies: characteristic mixtures of discourses (e.g. combining popular science exposition with mindfulness vocabulary or motivational talk). - Make clear that these are all regularities in input–output behaviour: patterns in how the model extends given textual histories under its training and post-training constraints. **Do not:** - Give concrete examples yet; those belong in Section 6. --- ### §5, Paragraph 11 – Semiotic physics as Carlsonian "right kind of knowledge" for LLM chats **Function:** Insert semiotic physics into Carlson’s framework as the guiding background for order-based appreciation of LLM-mediated chats. **Content:** - Recall in one sentence Carlson’s idea that, for nature, order appreciation requires understanding the processes that generate the observed order and using this understanding to guide acts of aspection. - Propose that, for LLM-mediated chats, semiotic physics plays an analogous structural role: - it identifies which kinds of linguistic order (as described in the previous paragraphs) are characteristic of a given model’s behaviour; and - it explains how those orders depend on prompts, prompt histories, sampling settings, and post-training constraints. - State that a reader with some grasp of a model’s semiotic physics can, when faced with a particular chat episode, recognise aspects of the text as instances of these broader tendencies, and attend to them accordingly in aesthetic appreciation. **Do not:** - Use analogies to natural phenomena; keep the comparison at the level of Carlson’s abstract pattern. --- ### §5, Paragraph 12 – Relation to design and person packages; transition to Section 6 **Function:** Clarify how semiotic physics coexists with design appreciation and with the earlier rejection of person-aesthetics, and prepare the way for concrete applications in Section 6. **Content:** - For design: - Affirm that functional and technical knowledge about a model’s architecture, training, and deployment remains relevant for evaluating it as an artefact. - Explain that semiotic physics supplements this by focusing on how the artefact behaves as a generator of linguistic sequences in use. - For persons: - Reiterate, in a single sentence, that Section 3 argued against treating LLMs as appropriate targets of beauty-of-character appreciation. - Clarify that semiotic physics targets patterns in outputs (regimes, transitions, regularities) rather than any putative subject. - Close with a transition sentence announcing that the next section will apply this order-based framework to specific examples, starting with a relatively banal but instructive case: reasoning-style LLM outputs. **Do not:** - Rehearse the arguments of Sections 3–4; keep the recall minimal. --- ## Section 6 – Appreciating LLM Texts Under Semiotic Physics ### Scope of this plan - This plan covers the **first half** of Section 6, focused on _reasoning-style_ LLM outputs as a test case for order appreciation. - A later sub-section (6.2) will deal with the richer "bee" text example and can be planned separately. --- ### §6.1, Paragraph 1 – Opening: banal outputs and the scope of order appreciation **Function:** Introduce Section 6 and make the Carlson/Arp point that even banal outputs are eligible objects of appreciation under an order-based framework. **Content:** - State that, if semiotic physics is the background for order appreciation, then any chat episode is in principle eligible as an object of aesthetic attention, however mundane. - Briefly recall Carlson’s use of automatic poetry and the Arp quotation to illustrate that, in nature, both “foolishness” and sub