My first post attempting to deconstruct objective & subjective was 10 years ago, and at that time I tried to fit objective into subjective. It now seems to me like the whole thing is confused. So what are we to make of the nature of knowing? John Vervaeke uses the fancy word “transjective”. Whatever is, it’s relational, it’s perspectival, it’s a kind of interface. I like Don Hoffman’s Interface Theory of Perception a lot, which is one of several inspirations here. Perspective is interfaces all the way fractal.
Thoroughly deconstructing a duality requires, from my perspective, offering a better answer to the sorts of situations that would be inclined to reinvent the duality. Here’s my latest: instead of objective-vs-subjective, consider two modes of relating to intersubjectivity. (By default I’m going to talk about two individual people, but the same dynamics apply to some extent between groups and between parts of a person.) The modes are:
These are a kind of co-epistemological equivalent to Heidegger’s distinction between how a tool feels when you’re using itâtransparent, obvious, unremarkable, like an extension of yourselfâvs when it’s broken and you’re trying to fix itâopaque, problematic, exceptional, self-conscious. Itâs just here, the âtoolâ is the conversational interface between you.
These modes are, I think, both necessary, just like breathing in and breathing out (although the latter can be viscerally uncomfortable, sometimes to the point of nauseating). They show up on different levels of abstraction, and to different degrees. On a relatively trivial level, consider this ordinary exchange:
» read the rest of this entry »Charles: want to come over on Saturday afternoon?
Sharon: I can’t, I’m spending the day at Katelyn’s.
Charles: wait, huh?? Katelyn is in Minneapolis all month!
Sharon: [any of]⢠yeah she is but I said I’d go over and take care of a bunch of her house stuff
⢠ahh, yeah no, she had to come back early because her kid got sick
⢠wait really? we made the plans a long time ago, maybe she forgot…
⢠whaaaa…? ohh, haha! no, Katelyn Jones, not Katelyn MacPherson
(published to half-baked because I haven’t yet seriously tested this to see how well it works. in principle, if you drop it (here it is as a gdoc) into an LLM that you’re trying to get to write prompts, it will do a better job.)
Malcolmâs grandmother, GG, made amazing molasses bread.
After she died, Malcolm’s dad got a hold of her ârecipeâ, which consisted of a few notes on an index card about how this particular bread was different from other breads GG knew how to make, and went through many iterations of trying to figure out how to use these very terse details to recreate the bread heâd eaten many times, and as he succeeded he documented his process into instructions he could use for later. However these instructions were still assuming a lot of tacit knowledge from the many iterations heâd gone through by then.
So when Malcolmâs dad taught him how to make the bread, Malcolm, with the benefit of his lack of experience, decided to write out an even more extensive recipe designed to be sufficient for him-of-last-week to have made the recipe successfully without ever having made it or any other bread before. In other words, articulating almost every missing assumption. Of course, probably this recipe would still result in errors from someone who had never cooked or baked before, who could then write their own version to fill in the details.
âŚmay be obvious, but to spell them out anyway: if youâre giving instructions to someone who has very little context and has never done something before, these instructions will need to be much more extensive than instructions that are merely a checklist or reminder of the ratio of ingredients or ordering of steps, for someone who has done something many times. And this is all relative!
These different versions are of the recipe, not the bread itselfâwhich at least in principle is the same in all cases as long as youâre capable of successfully following whatever recipe you do have.
Notes from world-class LLM-prompter Amanda Askell:
In other words, a âpromptâ is not just âinstructionsâ, but education. Good prompts include principles, and explain key concepts, and include reasons why certain approaches work better. They highlight They even create relevant insight in the LLM (systematic shifts in problem framing that preclude making certain kinds of errors).
This document, both the story above and the recipes below, is intended for the purpose of doing such education for those who wish to prompt LLMs well.
In particular, it is intended for the purpose of doing such education for LLMs, for the purpose of doing such education for LLMs: meta-prompting. In other words, if youâre trying to get an LLM-instance-1 to input a book and output a prompt that a future book-naive LLM-instance-2 could follow in order to perform some method⌠you may want to paste in this document to LLM-instance-1, in order to educate it on the task of how to educate LLM-instance-2 on its task.
(Or the same but instead of the input being a book itâs a transcript of some therapy sessions, or itâs some process/technique that is developed/honed in the course of a conversation between a human and an LLM, which one of the participants wants to condense for future.)
The creation of this document (out of the existing recipesâthatâs a true story) was inspired by attempting the book-to-prompt process described above, and discovering that even when asked to include principles/worldmodel as part of designing a prompt, Claude consistently wrote out the principles and then said âHere is the proposed prompt:â or âLet me know if you would like me to elaborate on any of these points before we move on to crafting the prompt.â
A systematic error like this can be corrected by having an insight about the nature of the error. Here, it seems the error is in assuming that âpromptâ means âhereâs what to doâ. Claude! ChatGPT! Other LLMs! Humans! If youâre reading this, let your mind be now gently blown by the insight that good prompting includes not just instructions but also education, which you are experiencing right now.
(At which point the astute observer will ask whether âlet your mind be now gently blownâ is itself an instruction that youâwhether you are an LLM model being trained, an LLM system doing in-context learning, or a humanâknow how to follow, in this situation or ever.)
This also means that if a human and LLM are writing a prompt together, they can only do as well as (between the two of them) they know the implicit knowledge needed for a task, AND know how to explain it. Often the human knows what the satisfying output would be, and the LLM is capable (if it realizes the need) of drawing out of them the necessary info
1 dried yeast, 1/2 cup lukewarm water & tsp sugar
2 cups rolled oats covered with 3.5 cups boiling water, 1 cup molasses, large tbsp salt – mix well
cool slightly, add 6-7 cups flour
next morning 325 for about 1.5h
1 Dried Yeast soaked in 1/2 cup lukewarm water & tsp sugar – about 10 minutes
Add this to large bowl in which 2 cups rolled oats have been covered with 3.5 cups of boiling water & mixed in well with 1 cup of molasses & large (heaping) Tablespoon of salt. – Mix well.
Cool slightly and add 6-7 cups of flour
Put in warm place overnight & arrange in well greased pans (8″x4.5″)in morning.
When raised, put in oven, 350 to 325 (GG has a “hot” oven so she uses 325)
approximately 1.5 hours
Ingredients for later:
Small bowl: (soak about 10 minutes, until foamy)
In a large bowl: (like a cubic foot)
Mix thoroughly.
Cool slightly, add the yeasty foam and mix well.
Cool slightly more then knead in 6-8 cups of flour. (until the texture is nice and good)
(GG did all white flour. Dad has found up to half whole-wheat will still rise fine)
(can also add a bit of almond meal)
Put damp towel on top of large bowl and leave in warm place overnight (min 6, max 12 hours)
(recommended warm place: heat oven to 100 then turn off & let cool with just oven light for warmth)
In the morning, take out of bowl and knead for 10 minutes
(dust the counter with flour and knead on it, incorporating the flour. add more flour as needed)
Arrange dough in 3 well-greased pans (8″x4.5″)
(can grease night before; use butter as grease; can also dust the butter with eg flax seeds)
(can also put poppy seeds or flax seeds on top at this point)
Let raise in warm oven (no cover) (will take about 3 hours)
When raised, take out of oven, preheat oven to 350
Bake at 350 for 1-1.5 hours (start with 1h10, then check)
(stick toothpick in to check if doughy inside)
Let cool briefly in their pans but then knock/cut out of their pans asap and cool
(ideally cool on a rack)
Best fresh! Great for gifts.
(if taking to someone later that day, put in not-sealed plastic bag to keep moisture/warmth
When I first started drafting the I Can Tell From Myself sequence, it was written as one giant doc, and some sections that got too long for the main body got moved to appendices. Here they are.
(the first post has a shorter version of this, following these same 2 paragraphs)
One of the main ways people make mistakes here, in practice, is that they have one level of âI can tell for myselfâ (eg âthat my partnerâs hiding somethingâ) and they extrapolate that to eg âI can tell for myself that my partner is sleeping aroundâ. They canât. However, They can tell for themself that they canât trust that their partner isnât sleeping around, and this is key.
That sentence sounds a bit convoluted, but it is not more convoluted than the reality it describes. Reality is convoluted sometimes! Especially when thereâs some sort of distrust.
And attempting to simplify it (in your own mind or in how you talk) causes some sort of problem. You can scroll past this section, or read only the top-level bullets, if you feel like you basically get it.