I rememeber trying blend.io and Splice studio back in the day, but they weren't too ergonomic due to lack of a 'project package' convention. There also was an inkling of native sharing for a while [0]:
> Officially, it was known as "Ableton Link Share" during early development and then launched as “Ableton Live’s ‘Share’ feature” — introduced around Live 9.1 (2013–2015 era).
> It allowed users to upload their Live Sets directly from Ableton Live to a personal web page (via ableton.com) to share projects with others — including audio previews and downloadable Live Sets.
> Ableton eventually discontinued the Share feature in 2017, citing limited use and the shift in focus toward Ableton Cloud / Splice / Link integration as alternative collaboration tools.
Related, I have been enjoying this great series on Australian compute history and innovations (including CSIRAC, SILLIAC, CIRRUS, ARCTURUS, CSIRONET) covering the same period:
Why do we want to reduce 'the neuron' and encapsulate it? As a potentially interchangeable feature?
Even when similar weight activations arise across learning regimen it seems we will miss a whole range of interpretations if we just go off 'the text'. The outside context in which a neuron arises is equally, if not more, telling; its genesis cannot (yet?) be quite captured by the weight itself.
The network may reveal its own context and history, but what can ultimately be encoded in its weights that originated outside the network?
Interpretability does try and find neural circuits that consist of many neurons working together, and the paper does discuss that in the later sections. It also discusses observing how a neuron 'grows' during training.
You could likely cluster individuals by drawn features; might not tells us much about geographic origin but may reveal interesting differences/levels in geographic aptitude, and which clusters correspond best to what land borders/contintents.
Hey! I’m on the team working on this. The semantic web comparison is pretty close to how we think about this.
One key difference is that we’re using LLMs to create structured data on the fly based on the query. That means we don't need to relying on webmasters to explicitly annotate pages with metadata which in my view was one of the main reasons why the semantic web did not work out.
There is of course, transformative use, and the slew of software packages we used to depend on without acknowledging the original maintainers on every commit.
Beyond imaging, a related paper I came across goes in-depth on identifying the interstellar nodes/constellations to furnish an actual network mesh:
> [ABSTRACT] An interstellar communication network benefits from relay nodes placed in the gravitational lenses of stars. The signal gains are of order 10^9 with optimal alignment, allowing for GBits connections at kW power levels with meter-sized probes over parsec distances. If such a network exists, there might be a node in our solar system: where is it?
In: Hippke, M. (2021). Interstellar communication network (III). Locating deep space nodes. arXiv preprint arXiv:2104.09564[0].
> Officially, it was known as "Ableton Link Share" during early development and then launched as “Ableton Live’s ‘Share’ feature” — introduced around Live 9.1 (2013–2015 era).
> It allowed users to upload their Live Sets directly from Ableton Live to a personal web page (via ableton.com) to share projects with others — including audio previews and downloadable Live Sets.
> Ableton eventually discontinued the Share feature in 2017, citing limited use and the shift in focus toward Ableton Cloud / Splice / Link integration as alternative collaboration tools.
[0]: https://forum.ableton.com/viewtopic.php?t=252909
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