If Intel goes under, Taiwan becomes the battleground for WW3.
735 karma · joined September 15, 2020
If Intel goes under, Taiwan becomes the battleground for WW3.
This also often works with tool use and tool cause - just ask it what part of its prompt told it to do something and it can usually point there.
If you ask it why it thought something a priori was wrong, then the bot can't answer it, and neither can I. If you ask me to clarify why I wrote some code I can walk you through the steps I got there. But if you ask me to clarify why I believed a function exists, that upon runtime I learned doesn't actually exist, I can't provide justification there.
I've wondered if it comes down to a game theory result where if you have x amount of time to distribute amongst y problems, there's more net social utility in applying a simple solution to everyone, and accepting that difficult problems will be missed. Versus spending detailed time on each problem, and as a result solving fewer problems but better.
Of course, when money comes into play, it seems as though you're going to be financially required to rush everyone through the door in 15 minutes, or else your business will lose to someone who adopts this strategy. Leaving anyone with a complex problem dead.
I spend a lot of time on migraine and pain subreddits and there is an air of deference to the medical authority to know what to do. But if your case is complex, you just can't fit into the simple flow chart, and need to advocate and problem solve for yourself. Which leads people into the path of pseudoscience and exploitation.
If you really want a bad trip, head over to the r/migraine and r/chronicpain subreddits. These subreddits are full of people, with none of the resources or experiences as the author, betrayed entirely by the medical system which does not serve them, and condemned to chronic pain. The complexity and range of headache and migraine causes does not lend itself well to a 15 minute GP appointment every few months, and without the technical expertise these people turn to alternative medicine, online pseudoscience, and opiates.
I really enjoy his blog posts and his work on automata seems to be well respected. I've felt he presents a solid epistemology.
It makes me wonder whether everyone on this forum is just so loaded on antidepressants and adhd meds that they don't even find it unusual.
As an example, I'm reading a book on Buddhism, and I'm comfortable with Kant, and AI is useful for explaining to me a lot of the ideas they have as they relate to transcendental idealism (Kant).
On the other hand, I still don't know what a body without organs is.
I suspect a lot of the rationalists have gotten stuck here, and rather than seek out guidance or slowing down, changed tack entirely and decided to engage with the philosophers du jour, which unfortunately is a lot of slop running downstream from Thiel.
I've just migrated my AI product to a different underlying model and had to redo a few of the prompts that the new model was interpreting differently. It's not obseleted, just requires a bit of migration. The improved quality of the new models outweighs any issues around prompting.
If you are treating anonymous posts on forums with the same authority as experts on those topics then it makes sense why you are struggling to use new tooling.
If you have a million records of unstructured text (very common, maybe website scrapes of product descriptions, user reviews, etc) you want to be doing an embedding search on these to get the most relevant docs.
If you have a hundred .py files than you want your agent to navigate through these with a grep tool
Really depends on your scale and speed requirements.
My startup provides a vector search system as part of its offering. A user can upload a dataset of records and build a vector index on one of its columns and perform searches. It honestly works incredibly well on a whole bunch of different domains and I was shocked at how useful it was out of the box compared to a conventional BM25 style keyword search. Since we've got this working it's completely changed the way I think about navigating unstructured text data.
If I have a dataset of 100k company website scrapes and I was looking for gyms, and I did a search for 'gym' I would get a whole bunch of conventional gyms. But I would miss companies that described themselves at fitness centers, or aquatic centers or MMA dojos. Vector search picks all of these up, but usually ranks them slightly lower.
If I'm building a RAG bot that is helping me look up companies and I search for a gym, I want the bot to have these extra companies in its context. I can do a vector similarity cutoff, but I can also do a #records cutoff, so that it always has the X most relevant records in its context window.
We've found the fuzziness of the vector search to be a problem in general purpose search cases because people write searches optimizing for keyword match. We had this problem with a company using it for a dataset with highly technical product codes that the embedding search was missing. Our solution was a hybrid keyword / vector search system for these guys that prioritized keyword match but also considered vector similarity. But it's still a big issue to communicate to the user what to write in the embedding search box - whereas in RAG the bot handles all of this.
I think it's an unsolved problem and there continuous to be enormous development in this space.
By incoherent I was referring to the internal inconsistencies of a model, not the probabilistic claims. Ie a model that denies your own consciousness but accepts the consciousness of others is a difficult one to defend. I agree with your statement here.
Thanks for your comment I enjoyed thinking about this. I learned the estimating distributions approach from the rationalist/betting/LessWrong folks and think it works really well, but I've never thought much about how it applies to something unfalsifiable.
Assuming we escape the null space of solipsism, and can reason about anything at all, we can think about what a model might look like that generates some ordering of P(#). Of course, without a hypothetical consciousness detector (one might believe or not believe that this could exist) P(#) cannot be measured, and therefore will fall outside of the realm of a scientific hypothesis deduction model. This is often a point of contention for rationality-pilled science-cels.
Some of these models might be incoherent - a model that denies P(#1) doesn't seem very good. A model that denies P(#2) but accepts P(#3) is a bit strange. We can't verify these, but we do need to operate under one (or in your suggestion, operate under a probability distribution of these models) if we want to make coherent statements about what is and isn't conscious.
My general list of questions for those presenting a model of consciousness are: 1) Are you conscious? (hopefully you say yes or our friend Descartes would like a word with you!) 2) Am I conscious? How do you know? 3) Is a dog conscious? 4) Is a worm conscious? 5) Is a bacterium conscious? 6) Is a human embryo / baby consious? And if so, was there a point that it was not conscious, and what does it mean for that switch to occur?
I agree about the confusion of consciousness with intelligence, but these are complicated terms that aren't well suited to a forum where most people are interested in javscript type errors and RSUs. I usually use the term qualia. But to your example about existing for a few seconds without a train of thought; the Buddhists call this nirvana, and it's quite difficult to actually achieve.