CrypticShift

Related question : What has optical (non quantum) computing achieved so far?

I accept that enhancing fundamental math skills is important, yet I'm skeptical about the feasibility of raising the bar to more advanced levels. Considering a normal distribution, it seems improbable that a significantly larger number of individuals could be educated to this extent.

Look at the CURRENT outcomes produced by mathematical geniuses within the financial sector (and military..). My argument isn't that math's impact is solely detrimental. For me it is about balance and diversity (math is only part of it)

When it comes to systems theory itself and its buddies, back in the day, Cybernetics was more of a big tent idea. But then the math nerds took the wheel, thanks to Shannon's playbook. And that may not always represent the superior path. Again, It is about balance/diversity

This.

Anyway, if you are willing to forego the convenience of the standard UI, there's a wealth of alternative guides out there. Some track a ton of services like justwatch.com or tastoid.com. Some might have more titles up their sleeve than others.

If you use Prime Video , the new IMDB advanced search is solid. It's got some really nifty filters [1]

[1] https://www.imdb.com/search/title/?online_availability=US%2F...

> Nothing is perfect.

I agree, and moreover, the more complex the taxonomy, the more likely you'll find people who disagree with it. So perhaps you're right that a simple tags list is the best "simple" solution, and I'm not saying your list is deficient.

One thing I had in mind is allowing an "AND" operator, like searching for "vintage" AND "eq"

> a) usually a "thing" can only belong to 1 category and b) a category often belong in a hiarchy of categories and can only be 1 place

That's why I love hierarchical tags (where tags can have multiple parents) : You can put a "thing" under more than one category/tag while a tag can belong to more than one parent. However, it's true that this is rarely implemented.

Spent ages awhile back delving deep into sorting audio tools into a multi-dimensional framework, convinced that deciphering their taxonomy would unleash their full potential. It's frustrating how there are no comprehensive directories for these tools (Linux or not for that matter)

I applaud your initiative and suggest you give more thought to categorization.

> you would want to define a list of allowed tags that the AI can select from?

Yes.

There is no shortage of bookmark managers. I think you are better off concentrating on a "simple chat" UI for bookmarks and keeping it clean (hiding the left bar...).

I would pay for this if I could import:

- Thousands of links. This is when LLM search excels.

- A specific list of hierarchical tags that are used for tagging. Open-ended AI-generated tags are always hit or miss, they don't know WHY I bookmarked a link.

In a late-stage capitalist society (i.e., heavily dematerialized), you're almost asking, "What would a capitalistic world without ownership look like?" That sounds like an oxymoron to me.

> First, copyright is not "ownership of information"

This is historically a very good point. Although I'm not versed in the specifics of legal jargon, it's hard to ignore that the practical enforcement of copyright laws in the U.S. seems to have skewed dangerously close to proprietary rights. Consequently, you've pointed us toward the real question: What would a world where copyright had a different meaning look like?

One must look at the history of copyright (or around the world) to appreciate how convoluted the evolution of its (subtle) meaning has been over the centuries.

I mean, you are already "performing"; it's not as if it is computer-generated (or drawn with the mouse), so it should already be "humanized." I believe the real issue lies with subpar MIDI keyboards that lack sufficient responsiveness. This is rarely a problem for me with guitars, where I can always dial in velocities with exactly the precision I have in mind (and I'm an amateur).

FYI Another way MIDI is humanized in DAWs is in the temporal domain (i.e., rhythm/timing). This was popularized by Ableton's Groove Pool [1].

[1] https://www.ableton.com/en/manual/using-grooves/

While you certainly succeeded in simplifying the UX, I'm not for simplifying the data on food. Is there any database of "concentrations of vitamins, minerals, and micronutrients" you could integrate?

I know this would defeat the purpose of a "simple" tracker, but I believe that we need to support the message that food is "complex" [1].

[1] https://www.bionutrient.org/bionutrientmeter

If I'm discussing Apple TV, I'll start by using simple old-media analogies that stick, saying it's like Cable-VOD or a stack of video tapes by your TV. The important thing, I think, is that you have to (at least first) gloss over nuances. Then it is a matter of layering artful examples to try to cover what Apple TV does. It is like picking the right brushes (= small analogies) to paint a familiar scene, rather than constructing a consistent argument from first principles.

I've come across the tech pages of these two ethical consumer guides :

https://www.ethicalconsumer.org/technology

https://guide.ethical.org.au/guide/browse/guide/?cat=600&sub...

What sets Anytype apart as a local player is its notion-style databases, and I believe it is unique in that respect.

If the outlining experience is good enough (drag/drop, collapse...), I will definitely try Plume for "light/fast" note-taking.

I mean that when I import a new CSV, I sometimes want to merge its rows with an existing Anytype database objects if key columns are identical.

For larger personal databases, I find that I often need to clean them up or enrich them with web APIs. Therefore, I will export the data, manipulate it elsewhere, and then reimport it. This requires the data to be "merged" with the existing records in order to preserve the existing IDs, links, and so on.

Previous (recent) discussion : https://news.ycombinator.com/item?id=36799548

Commendable breadth in your vision ! but might I suggest going more... atomic? As someone who leans towards outlining, your "tasks" type caught my attention. Ideally, I wish each block could behave like an object in a similar fashion. While transforming blocks into objects is possible, it somewhat defeats the purpose of an outliner's "bird's eye view."

I also doubt the feasibility of centralizing all your personal knowledge in one app; there's a corollary to this. I consistently find myself in need of a "merge feature." The larger the database becomes, the more crucial this feature is.

Most people don't prioritize self-augmentation; their aspirations lean towards contentment, stability, and the quintessential 'normal life'. The pursuit of self-enhancement often isn't intrinsically rewarding unless one has a predisposition towards it, and even with the impetus, the outcome might not provide the satisfaction one anticipated, or worse.

As for the so-called 'elite' demographic, I will simply say : "Not for lack of trying". (there is this book : "Stealing Fire" [1]). On ancient methods of improvement, it's crucial to note the difference between (super)wisdom and (super)intelligence. But that's a conversation for another time.

[1] https://www.amazon.com/Stealing-Fire-Maverick-Scientists-Rev...

The trajectory we're seeing with quality small AI Models, coupled with the self-imposed censorship and the foreseeable scarcity of high-quality training data due to new copyright law, leads me to forecast a surge in "pirate" models.

Increasingly, the distinction between core model training and fine-tuning might become ambiguous (how ?). Considering this, we might witness a trend where custom 'add-ons' for AI models become commoditized. Imagine simply downloading a "New York Times" pack to enhance your unofficial "pirate" language model.

I have this reflex to first click on "pricing" on the menu, and was momentarily taken aback before I understood it was for the core service at kadoa.com. This seems similar to histre.com/hn. I'm curious to see how it stacks up with respect to tag precision.

Thanks !

Condemning aggressive settlers is easy, but who will object to seemingly benign, peaceful "normal" families who are just seeking "normal" suburban Americanesque living? . It is the creeping normalization of "military occupation" [1] that poses, in my eyes, a more insidious issue than overt acts of violence.

[1] https://en.wikipedia.org/wiki/Israeli_occupation_of_the_West...

I see that the recent releases have focused on tables and properties. The logical next step could be to integrate the two : creating a unified system of tables designed to handle properties — essentially, Notion-style databases. I'm aware of some existing plugins that tackle this, with a particularly ambitious one gestating for quite some time now [1], but I feel this could be a core plugin.

[1] https://github.com/blacksmithgu/datacore

> The latter

There are now AI based methods to remove vocals / specific instruments. most free ones are not realtime :

online : https://moises.ai/

local : https://github.com/boy1dr/SpleeterGui

> random numbers which are somehow interpreted as music

My initial reaction was similar. Nonetheless, I'm making an effort to embrace the diversity of what music can mean to different individuals. My only question to them is: are you genuinely moved by the music itself or do you "merely" intellectualize it?

That being said, is this emerging field of Quantum Computer Music solely focused on generating random numbers? I must admit I only glanced through the article, so I wouldn't assert this definitively.

What is the best? Managing personal data is so "personal", the slightest annoyance could make all the difference.

For me, the best is a feature-rich, well-maintained, and well-designed app.

Today I saw Zotero for Android on HN. I always recommend Zotero.

If OSS/local is not an issue, raindrop.io is my best (following my criteria).

Here are ways to do it by simply adding files to an online interface. I mention them only because they are quite straightforward (and free) to set up.

- https://notebooklm.google/ (US or VPN): uses the "gemini pro" model.

- poe.com: You need to "create a new bot", disable "Make bot publicly accessible," and then "add a knowledge source." this offers many models, although the best ones require a subscription.

FM synth programming can feel like a dark art for starters. It's much less straightforward to dial in a specific sound compared to, say, subtractive synths.

Now imagine a synth that reverse-engineers audio sounds you feed it, adjusting its parameters to match. This would be a game-changer for learning. This recently released FM synth is trying to do just that with AI : https://www.youtube.com/watch?v=3gTYlYG6-R8

Just some ideas I've seen:

- As a first step, we may want to sort tracks by similarity. With Spotify API, each track has attributes that could be used to easily "map" the tracks mutual distances.

- Spotify already has an automix feature that works only on exclusive Spotify playlists [1]. And I think it is automated.

- There are (at least one) mobile apps that do this (not tested) : https://www.mixonset.com/

[1] https://community.spotify.com/t5/FAQs/What-is-Automix/ta-p/5...

What about speed? Is the adoption of SD Express slow compared to previous standards? I never see any computer (or smartphone) specs advertising "microSD Express" speeds, and it is already 4 years old.

The coming standard claims "up to 2GB/s possible." [1], and at this "speed" (of adoption, that is), this is not coming anytime soon.

[1] https://www.pcworld.com/article/2124706/sd-express-9-1-new-s...

I have zero knowledge of AI training, but is it possible that, soon, the line between training per se and fine-tuning will get technically so narrow that some groups can feed tens (or hundreds ?) of GBs of Copyrighted datasets [1] into the best open source AI models (LLMs or otherwise) ? I guess you could call this piracy 3.0.

[1] https://annas-archive.org/llm

Yeah, they both have DBs, and you can kind of outline inside pages. The difference is that, technically, in a "real outliner", each "node" (or line) is (by default) a different entry in the database, whereas in page-based apps (Capacities/Notion), it is the whole page.

Capacities is partially going in this direction. Notion, less so, but it is simple and advanced (linked records...) and hence a favorite of mine too.