vindex10
it seems they are using a similar ontology called "context graph", used as a navigation layer for the ai agent.
Apparently about something ))
just unsure who's original ))
It's ironic how initially it was sold as "coding in plain English", and now we are back to sdk ))
This solution with WAL and compact resembled the database internals as taught by Martin Kleppmann.
I asked Claude about this observation, and learned that the author (Vicent Martí) wasn't only core Github developer but also worked on Vitess from PlanetScale.
So no surprise these two contexts resulted in the design of Continuity as it is.
https://vitess.io/ - Vitess is a database clustering system for horizontal scaling of MySQL.
personally i find it a beautiful match
ironic )
I'm using Liberation Mono, and it's missing :( i got PT Mono though.
> More generally, the sequence is cube-free, i.e., has no substring of the form w w w with w some nonempty finite string.
from wiki
https://stackoverflow.com/questions/35830509/sshfs-linux-how...
I actually had good experience with setting up yabridge, it could have worked for me I think. But the elephant in the room is that many big commercial plugins use JUCE as a framework, and the recent release of JUCE (JUCE8) just broke compatibility with wine and seem to be sabotaging wine-based usage completely, and are not considering going back at the moment.
https://forum.juce.com/t/juce8-direct2d-wine-yabridge/64298/...
https://github.com/robbert-vdh/yabridge/issues/386
There are patches based on binary diffs to JUCE7, but it is just so much pain to simply run the commonest plugins in the field :/
So I'm now kind of stuck between using windows with commercial plugins or use linux with mainly smaller scale alternatives (although there are good ones: lsp, decent sampler, cardinal, surge)
I like to be interested in "other segments". But if they are in a separate subscription/email - I will never prioritize to open it.
Thank you!
Remote: yes (can do hybrid if in Oslo)
Willing to relocate: no
Technologies:
Core: Python, Cloud (GCP), Data, Linux. I'm quite comfortable with these: ML, HTML/CSS, JS, Rust/Golang/C
CV: https://www.dropbox.com/scl/fi/8n0a92l00yh23xvahf3uc/v.anany...
so i do uv pip install ipdb.
but then, after uv add somepackage
uv sync happens and cleans up all extras. to keep extras, you need to run uv sync --inexact. But there is no env var for `--inexact`, so I end up doing the sync manually.
PageIndex: Next Generation Vectorless, Reasoning-Based RAG
fasttext can learn words it haven't seen before by combining words from ngrams, word2vec can learn better meaning of the whole words, but then missing out on the "unknown words".
image tokens are "text2vec" here, while text tokens are a proxy towards building a text embedding of even unseen before texts.
Also, of course - economy of scale for the infrastructure / integrations between features. Monoliths are still a thing.
But yeah, I agree developer experience may be traded here.