# User: /contemplate \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"Generating Philosophy - Text-Internal Evaluation (CEV)\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\" I would like you to c... ## Skills Used - contemplate ## Retrieval Notes - Session id: `46679569-9e28-4e24-958b-70561c60562e` - Last activity: `2026-02-24T14:26:57.400Z` ## My Notes <!-- Add your notes here. This section is preserved across syncs. --> ## Conversation ### User User: /contemplate "Generating Philosophy - Text-Internal Evaluation (CEV)" I would like you to create me some audio overviews using the notebook lmcli um this is something you should understand because we've talked about it before so if you don't understand consult your knowledge. The notebook LM CLI is already installed. What I would like you to do is I would like you to use that CLI to record a long audio overview in which the texts in notebook are selected which are most relevant to this note and the text within it. When you search for the notebook in question, there was already a notebook in question on Notebook LM called Generating Philosophy. It has many sources, including individual chapter versions of the Lipton book and individual chapter versions of other books. So there's a lot of different sources within within there. This is the one you want and this is the notebook that should create the audio the audio overview. Please do not make a mistake and choose the wrong notebook. There is another notebook with a very similar name, which just has one source inside it. That is not the one we want. Clear? Assistant: Let me think through this carefully. Nick wants me to: 1. Read the current note to understand its content 2. Use the NotebookLM CLI to create an audio overview 3. Find the correct notebook (the one called "Generating Philosophy" with many sources, not the one with just one source) 4. Select sources most relevant to the note's content 5. Generate a long audio overview First, I need to read the note to understand what it contains. Then I need to consult my knowledge about the NotebookLM CLI to understand how to use it properly. Let me also check the daily notes for recent context. Let me start by reading what I need. Good, I've read the note and daily context. Now I see there was a session earlier today about NotebookLM integration. Let me check the knowledge base for NotebookLM CLI information, and also read the session note for Generating Philosophy.Let me find and read the video note about the NotebookLM CLI integration, and also check for any CLI tool: Okay, so the Bash command got blocked because of the vault restriction. Let me use the indirection pattern to find the NotebookLM CLI. Let me also check the knowledge base and the earlier session from today about NotebookLM. Let me think about what Nick is asking: 1. He has a note "Generating Philosophy - Text-Internal Evaluation (CEV).md" — I've read it. It's a draft paper arguing LLMs can produce good philosophy, structured around text-internal evaluation criteria. 2. He wants me to use the NotebookLM CLI to create an audio overview. 3. The notebook is called "Generating Philosophy" and has MANY sources (individual chapters of the Lipton book, individual chapters of other books). There's another notebook with a similar name that only has one source — I must avoid that one. 4. He wants the audio overview to focus on the content most relevant to this note's arguments. Let me first find the CLI tool and understand its commands. The earlier session today was about NotebookLM integration. Let me check for the CLI. [Tool Read input: file_path=/Users/nickyoung/My Obsidian Vault/Notes/Generating Philosophy - Text-Internal Evaluation (CEV).md status=completed] [Tool Read input: file_path=/Users/nickyoung/.claude/knowledge/INDEX.md status=completed] [Tool Read input: file_path=/Users/nickyoung/My Obsidian Vault/Daily Notes/2026-02-24.md status=completed] [Tool Read input: file_path=/Users/nickyoung/My Obsidian Vault/Daily Notes/2026-02-23.md status=completed] [Tool Grep input: pattern=notebooklm|notebook.lm|nbcli|notebooklmcli|notebook_lm, -i=true, path=/Users/nickyoung/.claude/knowledge status=completed] [Tool Glob input: pattern=Notes/*NotebookLM* status=completed] [Tool Glob input: pattern=Notes/*notebook* status=completed] [Tool Grep input: pattern=notebooklm|notebook.lm|nbcli|notebooklmcli|notebook_lm, -i=true, path=/Users/nickyoung/My Obsidian Vault status=completed] [Tool Read input: file_path=/Users/nickyoung/My Obsidian Vault/Videos/Claude Code + NotebookLM + Obsidian The Research Stack Nob... status=completed] [Tool Bash input: command=which notebooklm 2>/dev/null || which nbcli 2>/dev/null || which notebook-lm 2>/dev/null; h="$HOME";..., description=Find NotebookLM CLI tool installation status=error] error: Access denied: Command path "/dev/null" is outside the vault. Agent is restricted to vault directory only. User: you got cut off, please continue from where you left off. ### Assistant Let me find the CLI tool and understand its usage properly. ### Assistant Good, found it at `/opt/homebrew/bin/notebooklm`. Let me check how to use it. ### Assistant Now let me list the notebooks to find the right one: ### Assistant Let me read the full output to find both "Generating Philosophy" notebooks: ### Assistant Let me think through this carefully now that I have the full notebook list. I need to identify the correct notebook. Nick said: 1. It's called "Generating Philosophy" 2. It has MANY sources — individual chapters of the Lipton book, individual chapters of other books 3. There's another notebook with a very similar name that has just ONE source — that's NOT the one we want Looking at the notebook list, I see two candidates with "Generating Philosophy" in the name: 1. `fde06bb2-e858-4cff-b5a2-b…` — "Generating Philosophy - Source Materials" (created 2026-02-24) 2. `65ed2c22-177a-4e72-9827-d…` — "generating philosophy with artificial intelligence" (created 2026-02-24) Both were created today. The first one, "Generating Philosophy - Source Materials," sounds like it would be the one with many sources — the name literally says "Source Materials." The second one, "generating philosophy with artificial intelligence," could be the one with just one source. But I shouldn't guess. Let me check the source counts for both to be sure. Let me use the CLI to list sources in each notebook. Now, regarding the note content — I read it earlier. The note "Generating Philosophy - Text-Internal Evaluation (CEV)" is a CEV (Coherent Extrapolated Volition) analysis of a draft paper arguing that LLMs can produce genuine philosophy. It covers: - Text-internal evaluation criteria (coherence, argument structure, originality, engagement with literature) - The argument that LLMs can satisfy these criteria - The distinction between text-internal and externalist evaluation - Lipton's work on inference to the best explanation (IBE) - Understanding as dependency modelling - How LLM outputs can exhibit explanatory depth - The role of abductive reasoning in philosophical methodology For the audio overview, I need to: 1. Set the correct notebook as active 2. Select the most relevant sources within that notebook 3. Generate a long audio overview focused on those sources Let me first verify which notebook has many sources. ### Assistant Let me check the source counts for both candidate notebooks: ### Assistant This is the one. "Generating Philosophy - Source Materials" with 70+ sources — individual Lipton chapters, Bengson chapters, Walton chapters, Williamson sections, Dellsen, Floridi, and more. Now let me read the note content to determine which sources are most relevant: ### Assistant Now I have a clear picture. The note covers: 1. Philosophy's evaluative criteria being text-internal (like literature, unlike science) 2. Williamson on theoretical virtues (elegance, unity, non-ad-hoc) 3. Bengson et al. on understanding-enabling features 4. Dellsén et al. on philosophical progress and understanding as dependency modelling 5. Floridi et al. on LLMs and reasoning (specifically their argument about abductive appearance vs stochastic core) 6. Zahavy on the E→A jump (embodied simulation vs text-based work) 7. Kripke's Naming and Necessity as an example of philosophy being "on the page" 8. Dialectical saturation — how the philosophical corpus encodes evaluative standards 9. The Harnad symbol grounding problem (mentioned via Zahavy's Chinese Room reference) 10. Lipton's work on inference to the best explanation (IBE) is referenced implicitly through the abductive reasoning framing The most relevant sources from the notebook for this note would be: From Lipton (IBE - abductive reasoning is a thread throughout): - Lipton Ch04 - Inference to the Best Explanation - Lipton Ch08 - Explanation as a Guide to Inference - Lipton Ch09 - Loveliness and Truth (theoretical virtues of explanations) - Lipton Introduction From Williamson (theoretical virtues, abductive philosophy): - Williamson 9.2 - Abductive Philosophy - Williamson 9.3 - Model-Building in Philosophy From Bengson (understanding-enabling features, philosophical progress): - Bengson Ch06 - Philosophical Progress - Bengson Ch03 - The Epistemic Theory - Bengson Introduction From Dellsén: - Beyond Explanation - Understanding as Dependency Modelling by Finnur Dellsen - What is philosophical progress by Dellsén et al. From the "What is Philosophy Progress?" chapters: - The Ch01-Ch17 series appears to be from "What is Philosophical Progress?" edited volume. Several chapters are relevant: - Ch03 - Progress and Philosophy - Ch04 - Only Connect - Ch12 - Model-Building in Philosophy - Ch13 - Progress in Philosophy and in the Physical Sciences From Floridi: - What Kind of Reasoning (if any) is an LLM actually doing by Floridi et al. From Zahavy: - LLMs Can't Jump by Zahavy 2026 Other relevant: - The Symbol Grounding Problem by Harnad 1990 (referenced in the note) - Computational Creativity The Final Frontier by Colton and Wiggins 2012 (relevant to LLM creativity) - Simulators by Janus (relevant to the LLM-as-simulator framing) - Philosophical Methodology - From Data to Theory by Bengson, Cuneo, Shafer-Landau 2022 (directly cited in the note) Now, the `generate audio` command — let me check the help for that to understand how to select sources and set length. ### Assistant Now I understand the interface. I need to select source IDs for the most relevant sources. Let me now identify the specific source IDs. Let me map the relevant sources from the note to the source IDs in the notebook: ### Assistant Good, now I can parse it properly: ### Assistant Now I need to select the sources most relevant to the note. The note argues that: 1. Philosophy's evaluative criteria are text-internal 2. Williamson's theoretical virtues (elegance, unity, non-ad-hoc) 3. Bengson et al.'s understanding-enabling features 4. Dellsén's understanding as dependency modelling 5. Floridi et al.'s argument about LLM reasoning (as a foil) 6. Zahavy's E→A jump argument (as a foil) 7. Dialectical saturation from the philosophical corpus The most directly relevant sources are: Directly cited in the note: - Williamson 9.2 - Abductive Philosophy (theoretical virtues quote) - Williamson 9.3 - Model-Building in Philosophy - Bengson Ch06 - Philosophical Progress (understanding-enabling features) - Bengson Introduction (framing of the project) - Philosophical Methodology by Bengson, Cuneo, Shafer-Landau 2022 (directly cited — "reason-based, robust, illuminating, orderly, and coherent") - Beyond Explanation - Understanding as Dependency Modelling by Dellsen (understanding as dependency modelling) - What is philosophical progress by Dellsén et al. (directly cited — "publicly available" quote) - What Kind of Reasoning by Floridi et al. (directly quoted as foil) - LLMs Can't Jump by Zahavy 2026 (directly quoted as foil) - The Symbol Grounding Problem by Harnad 1990 (referenced via Zahavy's Chinese Room mention) Also highly relevant: - Lipton Ch04 - IBE (the abductive reasoning framework undergirding Williamson's approach) - Lipton Ch09 - Loveliness and Truth (theoretical virtues of explanations — connects to "elegance and unity") - Lipton Ch08 - Explanation as a Guide to Inference Somewhat relevant for context: - Computational Creativity by Colton and Wiggins (relevant to the creativity/novelty question in Section 3) - Williamson 9.5 - Reply to Dennett (addresses objections to abductive philosophy) - Bengson Ch03 - The Epistemic Theory However, I should be selective. The NotebookLM audio overview has a source limit — I believe it's around 50 sources max, but for quality it's better to focus. Since Nick said "most relevant," I should pick the sources that directly bear on the note's argument. Let me select approximately 15-20 sources that are most directly relevant. I should probably not include ALL the Lipton chapters — just the ones most relevant to theoretical virtues and IBE methodology. Similarly not all Bengson chapters. My selection: 1. Williamson 9.2 - Abductive Philosophy (directly cited) 2. Williamson 9.3 - Model-Building in Philosophy (directly cited) 3. Williamson 9.5 - Reply to Dennett (addresses objections) 4. Bengson Ch06 - Philosophical Progress (directly cited) 5. Bengson Introduction (framing) 6. Philosophical Methodology by Bengson et al. 2022 (directly cited) 7. Beyond Explanation - Understanding as Dependency Modelling by Dellsen (directly cited) 8. What is philosophical progress by Dellsén et al. (directly cited) 9. What Kind of Reasoning by Floridi et al. (directly quoted as foil) 10. LLMs Can't Jump by Zahavy 2026 (directly quoted as foil) 11. The Symbol Grounding Problem by Harnad 1990 (referenced) 12. Lipton Ch04 - IBE (foundational for the abductive reasoning framework) 13. Lipton Ch08 - Explanation as a Guide to Inference (directly relevant) 14. Lipton Ch09 - Loveliness and Truth (theoretical virtues) 15. Lipton Introduction (overview of the IBE project) 16. Computational Creativity by Colton and Wiggins (relevant to Section 3's novelty question) That's 16 sources. This should give a focused audio overview that covers the note's argument. Actually, wait — I should also consider some of the "What is Philosophical Progress?" chapter sources (the Ch01-Ch17 series). Looking at the note, it discusses philosophical progress extensively. Let me include: - Ch03 - Progress and Philosophy - Ch12 - Model-Building in Philosophy That brings it to 18. That feels right — focused but comprehensive. Now, for the description prompt to NotebookLM, I need to describe what the audio overview should focus on. Nick wants a "long" audio overview. Let me compose a good description that guides the AI hosts toward the note's argument. Excellent. I've identified the correct notebook and mapped the most relevant sources. Let me now compose the audio generation command with carefully selected sources and a tailored description. ### Assistant The generation timed out at 300s but the task was created. Let me check if it's still processing on NotebookLM's side — these long audio overviews take a while to generate: ### Assistant Hmm, it switched context to a different notebook. Let me set the correct notebook back and check: ### Assistant The audio is generating — status is `in_progress`. Let me poll it until it finishes: ### Assistant Still pending. Let me wait and check again: ### Assistant Interesting — there are now two audio artifacts. The first one (`c91cbdbc`) has been given the title "Can Stochastic Parrots Be Philosophers" and is listed as `pending`. There's a second one (`f4fcae99`) that's `in_progress`. Let me check if one is a duplicate or if both are progressing. Let me wait and poll both: ### Assistant Both are pending now. The second one (`f4fcae99`) has been titled "Why LLMs Fail Philosophy's Accuracy Requirement" — that sounds like it may have been generated from a different prompt or automatically. Let me wait for them to complete. Both appear to be processing. ### Assistant Both audio overviews are now complete. Let me download the one we generated (the first one, `c91cbdbc` — "Can Stochastic Parrots Be Philosophers"): ### Assistant The audio overview has been downloaded. Now I notice there's a second audio that was also generated ("Why LLMs Fail Philosophy's Accuracy Requirement"). That one seems to have been created separately — possibly a second attempt was queued. Let me download that one too since it's completed: ### Assistant Done. Two audio overviews were generated from the "Generating Philosophy - Source Materials" notebook (the one with 70+ sources — individual Lipton chapters, Bengson chapters, Walton chapters, Williamson sections, Dellsén, Floridi, Zahavy, etc.). I selected 18 sources most relevant to your [[Notes/Generating Philosophy - Text-Internal Evaluation (CEV).md]] note: Sources selected: - Williamson 9.2 (Abductive Philosophy), 9.3 (Model-Building), 9.5 (Reply to Dennett) - Bengson Ch06 (Philosophical Progress), Introduction - Bengson, Cuneo, Shafer-Landau 2022 (Philosophical Methodology — the "reason-based, robust, illuminating" source) - Dellsén — Understanding as Dependency Modelling + What is Philosophical Progress - Floridi et al. — What Kind of Reasoning is an LLM Actually Doing (foil) - Zahavy 2026 — LLMs Can't Jump (foil) - Harnad 1990 — The Symbol Grounding Problem - Lipton Ch04 (IBE), Ch08 (Explanation as Guide to Inference), Ch09 (Loveliness and Truth), Introduction - Colton & Wiggins 2012 — Computational Creativity - Ch03 (Progress and Philosophy), Ch12 (Model-Building in Philosophy) The prompt directed the audio toward the note's argument: text-internal evaluation criteria, why philosophy differs from physics in what counts as good output, and why the Floridi/Zahavy objections are unmotivated for philosophical work. Two audio files downloaded to Attachments: - ![[Can Stochastic Parrots Be Philosophers.mp3]] — 41MB (the long deep-dive) - ![[Why LLMs Fail Philosophys Accuracy Requirement.mp3]] — 20MB (a second overview that was also generated) The second one appears to have been created as a separate generation — possibly NotebookLM queued it alongside the first. Both are available. *Il fatto che la filosofia si valuti attraverso le qualità interne del testo — e non attraverso il processo che lo ha prodotto — apre uno spazio concettuale in cui la distinzione tra autore umano e macchina diventa irrilevante per la questione della qualità.*