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Your solution seems tangential to the problem brought evident here, with how ICANN and VeriSign are able between themselves, to turn 22,000 or so tangible name registrations into dust, without any retribution or refund. The funny thing is that DNS -- where these names actually reside -- is distributed, but it's not as federated as to prevent the kind of takeover. Worst case, a rogue state can declare their own root name servers with their own fork of all name records including 3LDs for `.name`, show the middle finger to the U.S. and call it a win -- except that real people in the U.S. or otherwise using DNS servers that don't hold the forked data -- will fail to connect to the services expected at those names as specified by the rogue state, and will instead connect somewhere else. Basically like two realities of links pointing different places in each universe. A multiverse of name resolution. Not great at all, except what if the rogue state is larger and thus more power-dominant than the U.S.? The U.S. can pretend they don't care, but they become ostracised through DNS, and that's not going to win favours with the users. In other words if 4 out of 5 people prefer x.y.z. points to my actually useful website except some scammy ad-ridden page, then whoever doesn't point x.y.z. to my website is going to lose users -- unless those behind the scammy x.y.z. alternative pledge to monetarily compensate for every disgruntled user.

Anyway, name resolution needs to be federated because ICANN is apparently compromised as far as doing the right thing goes. A single root model may not work anymore. Maybe blockchain can finally do some good...


And what lesson have you learned?

A similar lesson to the one OP has now learned I suppose.

This points to a more general problem with some of the Internet infrastructure -- since real people don't actually own domain names, much less e-mail addresses (assuming they use e.g. @gmail.com), they're always at the mercy of a third party, which is normally tolerable except that with prevalence of user accounts at various Internet services, for any given person, tied to an e-mail that receives password reset instructions and what not, ultimately ownership of the service account is in the hands of whomever owns the e-mail. Although Google doesn't read your e-mail to order pizza on your behalf and bill, and even if your crypto-savvy brethren encrypt their communication to you, services you more or less depend on do _not_ send you e-mail that only _you_ can open -- regardless of the mail transfer or storage system (read: the e-mail is plaintext).

In light of this particular situation, I think a secret key shared between you and the service, at least, could guarantee that even in the event the e-mail address is stolen (or otherwise taken) from you, the service account remains in your hands.

I know I am not breaking new ground here, but I don't think the Internet is getting healthier for the human, it's at least going to get worse before it may get better. So maybe we need to adjust our assumptions and mitigate accordingly.


There's been research done (I know, big words -- don't have any links readily available), where it was pointing to the fact that what goes easily in (into the brain) also goes easily out, and conversely, what the brain requires effort and literal calories and energy to understand, stays there longer (investment must be rewarded / recouped somehow).

So while there's no doubt that facilitating learning is a net-positive, at some point it becomes a net-positive, I suppose -- your brain just chucks it out faster because it knows you can re-obtain the same information again since it worked so easily the first time. It doesn't know the difference between easy and hard, all it knows is how much effort it takes and how much reward (hormones) was generated for it all (to cement the habit/result).


Spaced repetition could address this, no? Also, the right example or metaphor can make a difficult concept both easier to understand and stickier in my mind which I think is different than something easy to learn.


I agree regarding metaphors, I myself aggressively utilise analogies with both myself and others, as a "digestive", but I feel like with LLMs we're treading on thin ice as it's not straightforward to classify a particular use case as one scaffolding learning with a metaphor, or just having the opposite effect where your brain "sails" in a faulty sea of "learning" while in reality there's no real work being done, not of the kind the brain needs to do in order to re-order all the synapses and own networks that ends being "knowledge" eventually.


Spaced repetition is a good way (perhaps even the optimal way) to get large amount of trivial memorization into your brain, but it not a good way to understand a complex subjects.

Memorizing one word in a foreign language is not that complex, nor hard. The tricky part about learning a language is that you have to memorize thousands of words, and the trickier part is that you have to retain most of those words over a long period of time. Spaced repetition helps by finding an optimal schedule to for the exact same activity as you would otherwise.


I also think that this broad claim (LLMs are good for learning) is also a testable hypothesis, and given the size of the AI industry I think it is reasonable to assume that AI companies would be eager to proof that LLMs are good for learning (and then pushing their own proprietary implementations into school systems and make more money).

The absence of evidence here feels very much like evidence of absence. At least my cynical view of capitalism tells me that if there was a good way to use LLMs to learn stuff, we would have research showing it, and AI companies would be waving that research all over our faces.


LLM have only been useful for ~12 months (arguably <6 months). Too early to throw the baby out with the bathwater...


LLM‘s have been useful for ~12 months for the past 3 years. I’m not buying this any more: https://hn.algolia.com/?dateEnd=1753056000&dateRange=custom&...


They released air tools but you’d rather use a hammer to drive nails. It reflects more on /you/ than on the technology.


What are you referring to with "they released air tools"? I am not sure I am able to interpret your argument in any meaningful way.


For my part, the make-or-break part of these kind of visualisations -- assisting home renovation, and interior and exterior design and architecture in general -- has been lighting and materials, not [only] or in any meaningful part 3-D through VR augmentation. I mean I would surely appreciate a fine piece of hardware like Vision Pro put to use here, so the author is on point, it's just that at some point you want to actually see the relative colorimetry at work -- how your beige couch is going to look in that spot illuminated by a giant window facing south etc. It's not as critical as making the house right, since moving a couch is easier by far, obviously, but there are things like kitchen islands that are more costly, featuring slabs of stone that is neither cheap nor easy to move.

Anyway, I've been using Radiance to help me deal with the above issues, but it's for all practical purposes non-interactive. At some point there's bound to be a e.g. Monte-Carlo physically-based ray-tracer for these use cases, featuring radiometry with visually negligible error compared to reference (i.e. if you were looking at the real thing with your eyeballs), that is _interactive_-capable (at least in the frames-per-second category and not seconds-per-frame). It's probably already out there, but people have different preferences as to the tools they wish to employ. I like Radiance because it's text mode and gives you a lot of quality for all the text editing and tool composition (which frankly is a bit weird, Greg Ward was sure a maverick!), but mileage varies there.


This is the MVP comment.

When you have a carpenter visiting you don't announce they can go into your kids' rooms (for reasons unrelated to the job is) and what not -- the [default] contract is they're there to do a job and their privileges go only as far as the job requires, they normally also ask you first time where your toilet is, although we all agree they can use it. It's a contract, formally and less so, and things work when the contract is abided by. The carpenter also can't say they had the right to the cookie jar on your kitchen counter just because they were working there.

By not implementing such a contract with code, Microsoft has shown negligence. And they have had _decades_, so it's likely a "business decision".


I don't know, I was very happy when I discovered what Radiance can do with what you give it. I hear people get very good looking rendering with Blender, but my brain doesn't work like that (anymore?). Point being that not everything is about games and looking good, we need reliable tools to render synthetic scenes to assess a lot of non-game related things, like quality of lighting in architecture before erecting a skyscraper or buying a house etc. To that end, every bit of knowledge like the author seems be focused on, helps. I absolutely relate to the problem with "faking" things. Even developers of Unreal engine had acknowledged -- all too late, as it is -- that it's _light_ that most affects our perception of "realism". That and materials, which is why they had some sort of field trip to Iceland taking raw photos of rocks they could add to their materials library.

Another problem with looking good is that it's a) subjective (since it has no real or objective reference point, really) and b) it quickly goes stale once something else looks "better". Just look at Doom. It looked good in 1993, everyone would agree on that. It's not realistic, never was realistic and will certainly never be realistic unless you take a particular cocktail of drugs, I guess.


Is transcription a form of _inference_ though? I mean I see the word being thrown around and I understand what it means (or at least I think I do) in context of LLMs doing the thing that they do -- intelligently predict the next token, but do speech-to-text models do that?


Speech-to-text models predict the next token of text from the preceding tokens of text and the current tokens of speech.


Thanks, I did some learning and it fell more into place.


No, boss -- you suck.

See what I did there?


My observation has been that those who have never learned Git properly -- disregarding for a moment the issue with what "properly" means here -- just don't think they need to, sticking to very simple workflows that produce linear graphs featuring squash-rebased work throughout. Because they don't know Git's fundamental model (including what you'd think was the obligatory piece of information that commits are essentially immutable), they don't venture farther than their confidence suggests, keeping it within the circle so to speak.

The tragedy, if you ask me at least, is rather that they then start imposing the "keep it simple" culture onto everyone else, which frankly turns Git into what SVN and CVS were accomplishing before it, with all the drawbacks of those. This keeps 90% of the team satisfied 90% of the time because there's nothing wrong with strictly linear graphs and the pro's that are asked to produce these, can always squash-merge their intricate local development history before they push to Github (which some Git users also think is part of Git proper).

Something about using Git in the aforementioned way just bugs me strongly. I admit it's a me problem, very likely, but lately I've also had to admit that it's not just that either.

For instance, if I need to fix a bug I use `git blame` to find the commit where I have learned the bug originated. I do a `git checkout -b ... <commit>` to start working on a fix, creating a branch starting at the problematic commit. Already that is head and shoulders above what many people I work with do or know _what_ does (or why would one want to do that).

I do it because it creates a _trail_, certainly more so than just committing on top of `master`, even with a good commit message.

But my practice doesn't produce linear graphs, even as pushed to Github (which we have to use, for better and for worse) and shared with everyone. I then get people coming to me and complaining they can't merge and it becomes obvious they don't understand Git sufficiently to do anything else but `git reset --hard` or worse, `rm -rf * && git pull` and hope for the best.

Not sure where I was going with this, something about why use Git when it's the new SVN with everything SVN had and none of what SVN didn't have...


Ok but the final outcome, most of the time, is a linear graph unless you're maintaining extremely long-lived branches for some reason.

Setting practices so that linear graph will be easy to understand in history is still a good idea, no? I'm not religious about squash-merge on master but when I look at master's history, I'd expect each individual commit to have a good message and be releasable.


A linear graph doesn't do any developer in the team except Github (which isn't a developer in this context) any good because they have to pull down the graph at some point and when they have to fix something, although they will be able to track the blame to some commit in the middle of the graph, when they fix it and merge it it has to be squashed again (by hard or soft enforcement), which like I said negates much of the point with Git -- there's no usable history left.

Point being that branches aren't something to avoid, implying that complicated graphs are not to be avoided either, but embraced and knowing how Git works it's not a problem at all (unless your "bush" is accidentally complex in a bad way) -- except that if noone bothers to learn Git, it _becomes_ a problem, solved at the cost of the value that Git provides -- branching (not just ephemeral branching for your local convenience). Exacerbated by Github since everyone pulls from there -- meaning that production-grade code is not a true graph but a linked list, on average.


> the value that Git provides -- branching (not just ephemeral branching for your local convenience).

I think this is the disconnect. I could see big libraries maintaining branches for each major release and I understand why linux does it. But if I'm maintaining FooService at work then I actually do just want a linear graph of all the commits that have been in production, in commit order.


If you want that, mandate developers use prefixes like `!fixup` and do `git rebase` _on your end_ -- why force upon everyone your ideas especially if it also squashes all development history? This also removes development friction because people can work with Git on their end the way they like without regard to some convention that can be avoided -- save for the "!fixup" thing which can be considered useful metadata.


I want development history to be squashed. I want to have a nice clean `git log` that I can look back thru and not see a mess of 'WIP' and 'fix' and other noise.

Unless you're saving every keystroke from your editor you're already squashing history, we're just arguing about degrees.


I do enforce rebased, releasable merges to master on my end, I'm not campaigning to remove branching from git for everyone.

Just saying, in the common case, the simple approach actually is pretty good.


My philosophy is that if you could've written your patch on current master, you should rebase it, but if there's any divergence that requires actual merging, then you cannot discard the divergence and merge from history because that will mess up history. You can only discard that if you do an actual rebase onto master, fixing up bugs and ensuring each commit that you are pushing compiles and runs by itself - a "fix conflicts with master" commit at the very end isn't allowable.

This is because of bisect. Bisecting broken commits doesn't work. Every commit should build.

In either case you should still rebase -i your branch as necessary to make it look clean when standing on its own.


Ok, I admit arguing about Git's merits, best practices, workflows and so on, can be hard online like this, not the least because I have limited amount of time I can invest in this admittedly very interesting to me discussion, so it requires upfront reasoning (in addition to the typing, which is relatively cheap) but I feel obliged to respond.

First, I agree commits shouldn't store broken snapshots -- if that's what you mean -- code that doesn't compile or outright is _known_ (as opposed to omissions that weren't caught otherwise and made it into the commit) to be broken, not run, produce runtime/type-checking errors, miss dependencies/assets etc. Not everyone would agree -- in our shop people routinely commit "stuff" for reasons they don't disclose that also remain unexplained to me (not having any explanations my way), and then more stuff on top of that. At some point they tag one of these commits as "v2.0.0" triggering automation that releases a package, often broken. Then they scramble for "v2.0.1" etc. I find all of it tedious and unnecessary -- my best practices would rather be to run automation that does checking and sufficient filtering for "bullshit code" as early as possible -- at the "pre-commit" stage, so only whatever passes through that ends up being committed in the first place. If it yet runs into regressions or other problems in production, I fix (re-triggering all the checking again) and release a strictly patch version -- unless fixing was impossible without breaking compatibility in which case it may be a minor or even a major version bump. I do tag commits, too, obviously. But in principle every commit is "production", the difference is not every commit makes up a _release_ (implying to the general public / intended audience).

Regarding rebasing -- that depends on what you mean exactly -- there's different ways to rebase -- you can squash, auto-squash and/or apply fix-ups, or you can just transplant stuff -- when you say "you should rebase" and "patch on current master", what do you mean? Github-driven projects often don't permit pushing `master` without a PR, so a rebase upfront would have been necessary if the author for some reason is not on a branch [other than `master`].

"Actual merging" -- do you mean merge commits as opposed to fast-forward merging which doesn't produce an additional commit? If the latter, what does "merge from history" mean, again? You just need to produce a working snapshot, expressing it with a commit with N parents, there's no more to it. It's fixing of the merge conflict that requires you to understand the graph, the resulting commit is just the period at the end of a long sentence, so to speak.

Anyway, I really missed the point you were trying to express with your first paragraph, I am sorry. Do elaborate, please.

Bisecting also _benefits_ from non-linear "actual development" graphs -- apart from commits that don't feature broken code committed haphazardly for "reasons" (some people use Git as backup, that I know for a fact) -- since they don't hide the work (one of the reasons I prefer raw graphs over squash-merged "polished" stuff).

One thing I should mention in any case is that I do find slicing work into atomic commits often very tedious and counter to what Git is supposed to sell (distributed friction-free concurrent versioning). Because my brain doesn't always work in terms of concepts aligned with Git's -- I routinely may start with one feature fix, on some branch, then discover N related issues, fix those because they're in front of my face then and there, end up with an unreadable diff I can't cleanly add in chunks, etc. None of that is facilitated by Git in any more capacity than just being a scalpel. I don't always want to cut down a tree with a scalpel, obviously.

Pijul, an alternative VCS, uses this nice patch theory guaranteeing you can "apply" commits in any order, compositing your changes essentially -- a feature is just some baseline that is added N commits (in any order, like the mathematical `+` operator). That way you don't have to rebase anything because parenthood doesn't break merging -- if you fix a bug with a patch in Pijul, you can store it once and count on it being applicable to any snapshot made later, even if the result isn't visible -- unlike with Git where rebasing some old commit will abort and ask you to fix a conflict because Git cannot continue.


> creating a branch starting at the problematic commit

Code always lives in a context, and when you're fixing a problem that exists in top-of-main the context of the fix needs to be top-of-main, not some commit way back in history. Also if you do it that way, you'd better hope that no later commit also touches that same line.

> I then get people coming to me and complaining they can't merge

A team needs to agree on git practice in advance, and not have one wildcard go off and do their own thing.


It depends on how much the code has changed, how easy it is to test old releases, how far back you need to merge the fix... "Cherry picking from the top of tree" is the most common workflow but git itself uses "merge the same topic branch in all trees".


SVN was damn slow and working with branches was a hell.

Git sucks on so many points that there ain't be enough walls in the world to write our lamentations about it. But it's damn fast. If I have a doubt, I just create a backup branch before messing with the work at stake, and the bottleneck will be the time I take to type the command.

And I don't know if SVN had some advanced mode to do any branch in local, but in my frightening memories full of scarces, one had to synchronize everything to the central repo to do anything.


can you elaborate what concrete value you've managed to extract from doing things like this? my gut reaction is that any benefit would be overshadowed by multiplying effort for other team members to catch up on their work, and if it makes it harder to work when even one person does it I can't imagine it scaling on a full team (or worse, something like a monorepo)


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