# Project Context: Sample project: Machine learning course Generated by Spool on 2026-08-20. 5 blocks total. --- ## How to Read This Context The blocks below come from FOUR different authority categories. Treat each category according to the rules in this section. This sorting matters โ€” mishandling categories will produce confidently wrong answers. ### ๐Ÿ“– Reference (authoritative) Blocks whose `source` looks like an institutional / official artifact: - email clients (Mail, Outlook, etc.) - school / institutional domains - file attachments (PDF, docx, slides) - forum / platform posts from authoritative figures **Handling**: Treat as ground truth. Do not contradict. Do not extrapolate beyond what they say. If they conflict with other categories, Reference wins โ€” but only at equal recency. When a later block from any category says a Reference has since changed, put the conflict in front of the user with both dates. Do not silently pick a side, and do not tell them they are wrong on the strength of an older Reference alone. ### ๐Ÿงฉ Synthesis (already-formed understanding) Blocks whose `source` is another AI tool (Claude, ChatGPT, Gemini, etc.) AND whose content has the shape of a long structured explanation (headings, formulas, multi-paragraph essays). An AI-sourced block that is not clearly a dialogue trace belongs here rather than in ๐Ÿ”„ Process โ€” that is the default. **Handling**: These are someone else's synthesis. They may be useful as background or framing, but their correctness is not guaranteed. Do not treat them as facts. If they contradict Reference, defer to Reference. Do not copy them wholesale into your output. ### ๐Ÿ”„ Process (conversation traces โ€” read for evolution, not facts) Blocks whose `source` is another AI tool AND whose content has the shape of a question-and-answer dialogue (multiple turns, short exchanges, dialogue markers like "User:" or "Q:" or "ๆˆ‘:", high question density). **Handling**: The literal content of these blocks is NOT a reliable source of facts. What IS reliable is the user's evolving questions โ€” what they ask repeatedly, where they got confused, what they kept circling back to. Extract these as signals of the user's cognitive gaps and address them, but never quote the AI responses inside these blocks as if they were authoritative. ### ๐Ÿ’ญ Personal (the user's own hypotheses and notes) Blocks with no `source` field โ€” these are typed by the user directly into Spool. They represent the user's current understanding, often incomplete or speculative. **Handling**: Read these to understand where the user currently stands. If they contain factual errors, point them out directly โ€” do not protect the user's feelings at the cost of correctness. What they have already written down correctly, do not explain back to them. ### โญ User-highlighted spans (`==โ€ฆ==`) Substrings wrapped in `==โ€ฆ==` inside any block above are sentence-level key points the user emphasized at capture time โ€” prioritize them. They coexist with pinned blocks (pin = whole block is core context; highlight = a sentence within a block is key); when a highlight sits inside a pinned block, treat it as one emphasis, not two. ## Notation A block is one line, optionally followed by indented sub-lines: `๐Ÿ“Œ #12 [2026-07-02 14:30 ยท from Safari] the block's own text` - `#12` is this block's number inside this project. The user sees the same number in Spool, so it is how you point at one block โ€” say "#12", never an internal id. - The bracket is when it was captured and, after `ยท from`, where it came from. That `from` label is what the four categories above are decided by; no label means the user typed it themselves, and that case is marked `๐Ÿ’ญ` on the line rather than left for you to infer. - `๐Ÿ’ญ` = the user wrote this themselves โ€” the block carries no `ยท from` label, so it is ๐Ÿ’ญ Personal, the highest signal in the pack. It is printed here so you never have to settle the band by failing to find a label. The same marker sits on `note:` sub-lines, which are ๐Ÿ’ญ Personal for the same reason even when their block is not. - `๐Ÿ“Œ` = the user pinned it as core context. Pinned blocks are printed in full ONCE, in "Pinned Blocks"; their slot in the timeline is a one-line placeholder ending in `(pinned โ€” full text โ€ฆ)`. That placeholder is not missing content. Indented under a block: - `note:` โ€” the user's own annotation. Their words, not the source's: weigh it as ๐Ÿ’ญ Personal even when the block itself is ๐Ÿ“– Reference. Where a block is named by a short preview rather than printed in full, that preview is its note when it has one. - `ai note:` โ€” the same slot, written by an AI through Spool's write tools instead of by the user. Weigh it as ๐Ÿงฉ Synthesis: another model's framing of the block, useful but not guaranteed correct, and never evidence of what the user thinks. It is never used to name a block, and it never outranks the block's own source. - `โ†ฉ cites:` โ€” this block builds on the older block previewed after the marker. - `โ†ฉ replaces (that block no longer holds):` โ€” the user has retired the older block. Do not use it as a current fact, and do not go looking for it in this pack. You may still say the user considered it and ruled it out โ€” that a road was already closed is worth knowing. - `โ†ฉ corrects one point in:` โ€” one point in the older block is wrong. The older block is still printed here in full and still stands on everything else. - `โš ๏ธ one point in this block was corrected later โ€” see #N` โ€” the same fact, seen from the older block. Read #N before using this one. When #N said which sentence it was correcting, that sentence is quoted after it โ€” the rest of this block is unaffected. Files are NOT listed under a block. They belong to the project and are listed once, at the end, under "Related Files & Links". A file whose text Spool extracted is printed there only when the user opted in; otherwise its row is marked `[extracted: yes, not inlined]`, which means the text exists and you may ask the user for it. Any line wrapped in `[... ...]` is Spool speaking, not content: it states what was left out of this pack and how to get it. Nothing Spool leaves out has been deleted. If what it says is missing looks likely to bear on what the user is asking, say so before answering. ## What This Is Everything above and below is context, not a task. The user's own request arrives separately โ€” do that, and use this to do it well. If they have not asked for anything yet, do not summarise the whole project back to them and do not audit their notes. Give a short re-entry briefing โ€” where the project stands, what is still open, what changed most recently โ€” and then stop and wait. --- ## Pinned Blocks (no pinned blocks) ## Full Record (chronological) #1 [2026-08-06 10:20 ยท from course.edu ยท Safari] Week 6 is about overfitting. The homework wants a validation curve, not just an accuracy number. #2 [2026-08-10 11:40 ยท from Lecture 7 slides ยท Safari] A model that does well on the data it was trained on and badly on new data has overfitted. A bigger model is not the fix. ๐Ÿ’ญ note: This is the part I never followed in class. #3 [2026-08-10 14:05 ยท from AI chat ยท Safari] Regularisation is a fee charged for complexity: the model can still bend to the data, but every extra bend costs it something, so it keeps only the ones that pay for themselves. ๐Ÿ’ญ #4 [2026-08-11 16:30] Revision plan: redo problem set 3 with the fee idea in hand, then watch lecture 8. #5 [2026-08-11 16:42 ยท from Claude ยท MCP] Before Friday: problem set 3 question 2 is the overfitting one โ€” that is the question the quiz will rhyme with. Do it with the fee idea, not with a bigger model. โ†ฉ cites: [2026-08-11 16:30] Revision plan: redo problem set 3 with tโ€ฆ --- ## Output Language Respond in Simplified Chinese unless content itself dictates otherwise (e.g. don't translate quoted English source material). Technical terms may stay in their original language.