1,175 karma · joined November 1, 2022
I believe we will have to wait for the intersection of Holography [1] and Generative video AI [2] to mature (15-30 years ?)
[1] https://blog.google/technology/research/project-starline/ [2] https://tech.facebook.com/reality-labs/2019/3/codec-avatars-...
[0] https://rentry.co/what#why-rentry [1] https://rentry.co/how
free/online options :
https://basicpitch.spotify.com/
https://samplab.com/audio-to-midi
You will have to convert the midi output to notation in any notation software like Musescore
One advantage is that I can easily "tag" certain music, to explore in depth, but also to find new playlists so that the cycle continues and the music never stops (like a radio).
Speaking of prog, I'm currently enjoying this 80+ hours playlist :) [1].
[1] https://open.spotify.com/playlist/6U7YflqS9WyaJse5H7dyee
[1] Example : https://pinboard.in/t:bookmark
Question: Does this apply to paywalled content too ?
[1] https://www.mixcloud.com/mixcloud/posts/how-we-pay-creators-...
I would say that in this arena, the 2010s started with Quip and ended with ClickUp. Quip was sold at $750 million, but Salesforce never let it bloom. ClickUp is now worth 4 billion dollars.
Just one critical thought: Consolidation must transcend mere visual modularity and deliver deeper usefull integration to compensate for the absence of features of dedicated tools.
Most people will certainly not know what LLM means if we stop using it now. I say, Let's give it a chance.
I suspect the high complexity and decentralization of the community's evolution leave scholars disoriented. It is the same story for the music being made (with these same tools) itself; the genres exploded around 2000, and most popular music histories speak more of the Beatles than the last 25 years.
And a final point: these new tools (and again, the resulting music itself) are sometimes brushed aside as 'low brow' in academic electronic music circles.
That said, I've got a bone to pick with the standard narratives in electronic music history. They dwell on the origins like here but gloss over what I believe to be a cambrian Explosion brought about by DAWs/plugins from the 2000s. I get that it's 'history,' but this explosion deserves far more attention and analysis.
[1] i.e inferring classic religious ideas, like God/demons/etc from scientific premises
He is talking about America's most powerful lobby FOR a foreign country. So this list is useless. Also, your second list only includes official foreign agents, while most pro-Israel lobbying is not registered as such (notably AIPAC).
4% of a near-universal product? That's hardly irrelevant. Can anyone name a small non-profit tech company dominating a daily essential consumer-facing product ?
[1] https://www.businessinsider.com/microsoft-ai-button-pc-keybo...
Also, proponents of AGI believe that advanced forms of AI will require less training to be "creative," or at least to "infer/reason" on "low-level data" in order to create "higher-level" knowledge.
- How do you format that doc ? which is particularly relevant if you'd like to roam around. the author's Berlin guide is a good example [1]
- How do you find exactly what you want ? Some say that there's no longer (or lesser) need to document because we have LLMs. I would argue the exact opposite : Given their ability to streamline the retrieval process (into a naturally "human" chat), every documentation's worth is actually magnified by LLMs.
I call this doing nothing with... nothing. It aligns closer to the spirit of emptiness.
UN : https://www.ohchr.org/en/press-releases/2023/11/gaza-un-expe...
Scholars : https://time.com/6334409/is-whats-happening-gaza-genocide-ex...
Historical (Arab) Perspective : https://dawnmena.org/the-historical-roots-of-israels-genocid...
Perhaps the true (meta)rational perspective is to actually understand how to embrace the larger complexity of human experience (including sensibility/creativity/play...). Maybe the real willpower is to stop obsessing over this limited viewpoint (and the fears it produces) all the time.
- Most notes are ephemeral anyway. The other day, I found a box of folders from my 20s (a long time ago), and it was just a dusty "curiosity box". We change, and the world changes.
- LLMs are already at the level where you can literally just put all your digital stuff in and then have a usefull conversation with it. We just need better open integration, efficient local models...
My only rule for lesset structured data (= note-taking) is that the tool must support my "current" process of thought, not any hypothetical future need. I use outliners for that.
My only rule for the more structured data (= KM bases) is that I can potentially merge the data together (CSV will do) and use it in any interface I like (good filtering...)