Intepreting is giving a meaning to something. Stating that the "code interprets something" is a misuse of language for saying that the code "processes something". You don't know if the code gives meaning to anything since you are not the code, only you give the meaning. "Interpretation" is a first-person concept.
Okay... well what does it mean to give meaning to something? My claim is that I am a (really complex) code of sorts and that I interpret things in basically the same way code does. Now it often feels like this description is missing something and that's the problem of consciousness/qualia for which I, like everyone else, have no solution. But "interpretation is a first-person concept" doesn't let us represent humans.
"if you dispute this metaphysics you need to explain what the disadvantage" -> It would require more than a few comments.
You were disputing someone's claim that 'the universe is an algorithm'... why isn't that reason enough to identify one possible disadvantage. Otherwise you're just saying "Na -ahhhh!"
I just found your self-confidence a bit arrogant, as far as scientific realism is far from being a consensus among philosophers and has many flaws. Personnaly, the main disavantage I see is that its an "objectual" conception, a conception of things as objects, which does not account for any subject, and does not acknowledge that an object merely exist as representations for subjects. It does not address first-person phenomenology (time, ...). It does not seem to consider our cognitive situation seriously by uncritically claiming that our representation is reality, that's all, which I find a bit naive.
I'm really bewildered by this and imagine you must have read someone else and took their position to be mine. I'm a straight forward Quinean ontological relativist which is why I paraphrased the original claim in terms of ideal representation and dropped the 'is'. I was just trying to explain the claim since it didn't seem like you were understanding it- I didn't even make the statement in question (though I do happen to think the algorithm approach is the best thing going, I'm not confident that thats the end of the story).
But I think we're bumping up against competing conceptions of what philosophy should be. I think philosophy is a kind of meta-science which expands and clarifies the job of understanding the world. As such, it needs to find a way of describing the subject in the language of scientific representation. This is what the cognitive science end of philosophy is all about. But you want to insist on the subject as fundamental- as far as I'm concerned thats just refusing to let philosophy/science do it's thing.
I also view philosophy as a meta-science. I think language is relational by nature (e.g. red refer to the strong correlation between our respective experiences of red) and is blind to singularity (I cannot explain by mean of language what it is like for me to see red, I can only give it a name, which you can understand only if my red is correlated to yours - my singular red cannot be expressed).
Since science is a product of language, its horizon is describing the relational framework of existing things, which are unspeakable. That's exactly what science c...
Part of the sequence: Rationality and Philosophy
Eliezer's anti-philosophy post Against Modal Logics was pretty controversial, while my recent pro-philosophy (by LW standards) post and my list of useful mainstream philosophy contributions were massively up-voted. This suggests a significant appreciation for mainstream philosophy on Less Wrong - not surprising, since Less Wrong covers so many philosophical topics.
If you followed the recent very long debate between Eliezer and I over the value of mainstream philosophy, you may have gotten the impression that Eliezer and I strongly diverge on the subject. But I suspect I agree more with Eliezer on the value of mainstream philosophy than I do with many Less Wrong readers - perhaps most.
That might sound odd coming from someone who writes a philosophy blog and spends most of his spare time doing philosophy, so let me explain myself. (Warning: broad generalizations ahead! There are exceptions.)
Failed methods
Large swaths of philosophy (e.g. continental and postmodern philosophy) often don't even try to be clear, rigorous, or scientifically respectable. This is philosophy of the "Uncle Joe's musings on the meaning of life" sort, except that it's dressed up in big words and long footnotes. You will occasionally stumble upon an argument, but it falls prey to magical categories and language confusions and non-natural hypotheses. You may also stumble upon science or math, but they are used to 'prove' things irrelevant to the actual scientific data or the equations used.
Analytic philosophy is clearer, more rigorous, and better with math and science, but only does a slightly better job of avoiding magical categories, language confusions, and non-natural hypotheses. Moreover, its central tool is intuition, and this displays a near-total ignorance of how brains work. As Michael Vassar observes, philosophers are "spectacularly bad" at understanding that their intuitions are generated by cognitive algorithms.
A diseased discipline
What about Quinean naturalists? Many of them at least understand the basics: that things are made of atoms, that many questions don't need to be answered but instead dissolved, that the brain is not an a priori truth factory, that intuitions come from cognitive algorithms, that humans are loaded with bias, that language is full of tricks, and that justification rests in the lens that can see its flaws. Some of them are even Bayesians.
Like I said, a few naturalistic philosophers are doing some useful work. But the signal-to-noise ratio is much lower even in naturalistic philosophy than it is in, say, behavioral economics or cognitive neuroscience or artificial intelligence or statistics. Why? Here are some hypotheses, based on my thousands of hours in the literature:
Of course, there is mainstream philosophy that is both good and cutting-edge: the work of Nick Bostrom and Daniel Dennett stands out. And of course there is a role for those who keep arguing for atheism and reductionism and so on. I was a fundamentalist Christian until I read some contemporary atheistic philosophy, so that kind of work definitely does some good.
But if you're looking to solve cutting-edge problems, mainstream philosophy is one of the last places you should look. Try to find the answer in the cognitive science or AI literature first, or try to solve the problem by applying rationalist thinking: like this.
Swimming the murky waters of mainstream philosophy is perhaps a job best left for those who already spent several years studying it - that is, people like me. I already know what things are called and where to look, and I have an efficient filter for skipping past the 95% of philosophy that isn't useful to me. And hopefully my rationalist training will protect me from picking up bad habits of thought.
Philosophy: the way forward
Unfortunately, many important problems are fundamentally philosophical problems. Philosophy itself is unavoidable. How can we proceed?
First, we must remain vigilant with our rationality training. It is not easy to overcome millions of years of brain evolution, and as long as you are human there is no final victory. You will always wake up the next morning as homo sapiens.
Second, if you want to contribute to cutting-edge problems, even ones that seem philosophical, it's far more productive to study math and science than it is to study philosophy. You'll learn more in math and science, and your learning will be of a higher quality. Ask a fellow rationalist who is knowledgeable about philosophy what the standard positions and arguments in philosophy are on your topic. If any of them seem really useful, grab those particular works and read them. But again: you're probably better off trying to solve the problem by thinking like a cognitive scientist or an AI programmer than by ingesting mainstream philosophy.
However, I must say that I wish so much of Eliezer's cutting-edge work wasn't spread out across hundreds of Less Wrong blog posts and long SIAI articles written in with an idiosyncratic style and vocabulary. I would rather these ideas were written in standard academic form, even if they transcended the standard game of mainstream philosophy.
But it's one thing to complain; another to offer solutions. So let me tell you what I think cutting-edge philosophy should be. As you might expect, my vision is to combine what's good in LW-style philosophy with what's good in mainstream philosophy, and toss out the rest:
Note that this is not just my vision of how to get published in journals. It's my vision of how to do philosophy.
Meeting journals standards is not the most important reason to follow the suggestions above. Write short articles because they're easier to follow. Open with the context and goals of your article because that makes it easier to understand, and lets people decide right away whether your article fits their interests. Use standard terms so that people already familiar with the topic aren't annoyed at having to learn a whole new vocabulary just to read your paper. Cite the relevant positions and arguments so that people have a sense of the context of what you're doing, and can look up what other people have said on the topic. Write clearly and simply and with much organization so that your paper is not wearying to read. Write lots of hand-holding sentences because we always communicate less effectively then we thought we did. Cite the relevant literature as much as possible to assist your most careful readers in getting the information they want to know. Use your rationality training to remain sharp at all times. And so on.
That is what cutting-edge philosophy could look like, I think.
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