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Barneyhill commented on Show HN: Epitomē – A semantic search engine for ancient text   barneyhill.com/pages/epit... · Posted by u/Barneyhill
skeptrune · 2 years ago
Really cool. Did you embed the AI commentary/translations or the original untranslated text?
Barneyhill · 2 years ago
Embedded the AI translation/commentary (or human translated if present) - main purpose of the AI translations was to improve embeddings.
Barneyhill commented on Show HN: Epitomē – A semantic search engine for ancient text   barneyhill.com/pages/epit... · Posted by u/Barneyhill
Barneyhill · 2 years ago
Hi everyone! A couple weeks ago I stumbled upon ISicily (https://github.com/ISicily/ISicily), a project to encode all ancient sicilian inscriptions in a strict xml language called EpiDoc. While the existing website is great I wanted to make an interface which makes it easy to explore the human stories contained within the inscribed text. In order to aid searching for concepts/terms I've also filled in missing translations/commentary with Claude Sonnet-3.5 translations (this is meant as a recreational tool - these translations are not to be trusted...)

Hopefully I'll be able to add more datasets in the coming weeks - if you know any do shout!

Barneyhill commented on Show HN: Field* – Explore a map of 1.8M songs based on audio similarity   barneyhill.com/pages/fiel... · Posted by u/Barneyhill
mtmail · 2 years ago
Sadly the full desktop dataset (100MB) didn't load for me, I waited 10 minutes on fast broadband connection. The mobile dataset (20MB) stopped loading after 3MB. The file seems fine, I can download it with curl, but inside the browser (Firefox) it seems to timeout.
Barneyhill · 2 years ago
Ugh that's so annoying... Was originally hosted on a cloudflare static site - now switched to R2 bucket storage. That might help things?
Barneyhill commented on The lie of music discovery algorithms   zeynepevecen.dev/writing/... · Posted by u/zeynepevecen
mushufasa · 2 years ago
No music discovery algorithm has satisfied me. All data-driven approaches make predictions based on historical data. Personally I enjoy being exposed to entirely new genres and sounds I've never heard before, instead of variations on genres I've listened to a lot.

My solution: listening to NTS, an eclectic online radio station, where diverse artists create playlists.

Barneyhill · 2 years ago
I agree. Here’s a discovery tool I made to traverse NTS tracklists linked by common tracks ;)

https://www.barneyhill.com/pages/nts-tracklists/

Barneyhill commented on Aphex Twin gave us a peek inside a 90s classic (2017)   cdm.link/2017/07/aphex-tw... · Posted by u/indigodaddy
stonethrowaway · 2 years ago
90s and early 2000s were cemented by works like these. By these I really mean electronica and it’s influence. It had hit mainstream. Warp was full on, having all sorts of artists and releasing their Artificial Intelligence compilation. Darude had just come out with Sandstorm and Digitally Imported radio was taking off with Shoutcast. Elsewhere, Nu-Metal for example was starting to come into its own, lots of new music that we haven’t heard before with all sorts of genre overlaps. Textures that did not exist before. We knew, without a shadow of a doubt, that we were in a musical zeitgeist.

Has anything like this ever happened since? I keep chasing the dragon but I haven’t seen anything of this sort occur. It seems like we’ve mostly stabilized and are back to an equilibrium.

Barneyhill · 2 years ago
Yeah... I definitely share the feeling that we've hit a wall in terms of new sounds. Currently I think some of the work happening in the audio/ML space is the most promising in terms of emerging possibilities but things are still moving much slower than I thought they would. Here's a couple projects we've done developing novel audio interfaces that leverage ML: https://github.com/vroomai - I'm still confident we'll see a breakout use-case in this area soon.
Barneyhill commented on Everything we can't describe in music   hazlitt.net/feature/every... · Posted by u/anarbadalov
Barneyhill · 2 years ago
I went to a interesting hackathon the other day focused on building tools for exploring timbre in sound https://comma.eecs.qmul.ac.uk/timbre-tools-hackathon/.

Was brilliant, a lot of groups focusing on the use of ML to characterise the "unexplainable" in sound synthesis.

We ended up submitting a tool for interacting directly with Ableton using LLM agents after becoming disenchanted with text2audio models, wrote about it here - https://montyanderson.net/writing/synthesis

u/Barneyhill

KarmaCake day33June 17, 2020
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