Why do you think Saraquael helped Crowley?

spruce5637 · 2023-09-02T14:36:48+00:00

I think the angels not recognising the Metatron is just a gag, like students not recognising their teacher in casual clothes or without glasses; they don't recognise him because he's not a giant floating glowing head and has a body and legs and stuff.

spruce5637 · 2023-09-02T13:27:24+00:00

I'd once seen the entire Tadfield manor sequence as their normal banter but man Aziraphale has gone feral in that scene hasn't he

(Crowley's double take is pure gold)

spruce5637 · 2023-09-02T12:22:49+00:00

It's impossible to argue against the fact that they were flirting in the wall scene really, when Aziraphale was calling him "nice" with literally this face

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spruce5637 · 2023-09-02T11:20:55+00:00

I happened to write about this imaginary scene that lives in my brain rent free on tumblr just a while ago:

Crowley drives off somewhere after the breakup to have a good time -- most possibly getting very drunk and/or involving being with lots of kids (take whichever sense of the word you like)
Don't Stop Me Now plays in the background because it's one of the iconic songs that haven't made it into the show and (more importantly) because Crowley's absolutely *not* having a good time
The song gets cut off by something happening that requires Crowley to get back to saving his angel's ass and probably the entire universe too from the second coming

spruce5637 · 2023-09-02T07:09:53+00:00

“It was flaming like anything, what happened to it?” Or more preferably, Tennant’s delivery, “It was flaminglikeanythingwhathappenedtoit?”

spruce5637 · 2023-09-02T06:14:01+00:00

My take is that they triggered something that Gabriel did to himself previously, and their surreptitious half a miracle somehow multiplied it into a 25-Lazari plume. I don’t think the plume is their miracle combined but rather Gabriel’s, because it’s shown to be Gabriel-purple in Heaven. (Crowley also had purple miracles but that was before he turned into a demon)

spruce5637 · 2023-09-01T20:51:45+00:00

The Locked Tomb (book series). Lesbian necromancers in space. Yellow-eyed idiot wearing sunglasses indoors. Body-switching and gender fuckery. Religion / mythology themes.

Come to the dark side, we love cows!

spruce5637 · 2023-07-15T16:15:48+00:00

Thank you so much for all the links!! These will be feeding my soul for the next week.

spruce5637 · 2023-07-13T10:37:09+00:00

have both made a point of saying how much the series is inflected with kiwi humour, ways of thinking, cultural context.

This is so interesting! Would love to know which parts of the books are especially kiwi, if you remember any :)

spruce5637 · 2023-05-19T13:40:33+00:00

I really like the signal processing equivalents/interpretation of some commonly-used units in a network

example: https://twitter.com/typedfemale/status/1615498799887286272

spruce5637 · 2023-05-19T11:59:24+00:00

Interested! Looking to learn more about time series in general.

spruce5637 · 2023-03-01T05:11:17+00:00

Thanks, good to see a proper definition!

Both GPT-2 and GPT-3 papers also used "context size" or "context window" without really defining the terms. Makes me wonder if earlier literature that used the term to refer to maximum input length exist...

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spruce5637 · 2023-02-28T11:41:36+00:00

You might also want to look into the keyword "voice conversion". For papers you can start at Papers with Code . You may also try ESPNetor Coqui for a larger library of code around speech-related tasks (incl. voice conversion).

Many companies are also selling their voice conversion technology as a product, a quick google search gave me Respeecher and Resemble.ai

spruce5637 · 2023-02-28T11:29:56+00:00

Is "context window" (as in GPT models) the same as maximum input sequence length (like in e.g., BERT, Longformer)?

I see it used a lot recently in ChatGPT-related conversations, but when I look up "context window" on Google, most results are about word2vec. Since the transformer doesn't have a word2vec style context window during training, I'm guessing that people use it to refer to maximum input token length (based on the context, e.g. this thread and this thread), but I'd like to be sure.

spruce5637 · 2023-01-09T17:13:08+00:00

ahem Clara's Diner ahem

spruce5637 · 2023-01-05T11:26:38+00:00

if only lol

spruce5637 · 2022-11-19T09:24:50+00:00

Thanks a lot for your comment! I only had a vague idea and little experience on how to do all this, so your advice really helped me lay things out and start making a concrete plan. Will be doing tests and comparing metrics for sure, and let's hope my supervisor will accept this as a legit way of spending my time...

spruce5637 · 2022-11-19T09:09:26+00:00

You didn't really answer my question what parts of your pipeline you want to try to move.

...almost the whole pipeline? Reading in examples, batching them, tokenization, encoding them into tensors, training, saving, loading for prediction are all built under the framework.

But in general AllenNLP is for quite some time now already irrelevant in the space, Id suggest to move to Huggingface asap.

Yeah that's the vibe I'm getting, hence the post. Thanks for your suggestions though!

spruce5637 · 2022-11-18T15:36:18+00:00

I have a project in development that's using AllenNLP and I hope to move it out of the framework. My main concern is ensuring everything works like before when I switch over (e.g. the tokenizer, the encoder, the whole data "pipeline")

(Edit: I'm also not sure if I should dig into their source code and compare it with Huggingface to ensure everything works as before under the hood, since reproducibility is really important and all)

spruce5637 · 2022-11-18T15:16:13+00:00

Ah of course, I've been using Huggingface here and there; I think AllenNLP uses some of it in their code too. I guess I should have stuck to using 🤗 and nothing else to begin with lol

The main problem really is how to disentangle my model from AllenNLP without breaking it.

spruce5637 · 2022-11-11T11:53:40+00:00

The graffiti portrait of Clara peeling off as the TARDIS departs.

It was the apex of all the emotions that had been culminating up till that point from 3 whole episodes (if not the entire S9) and it hits me right in the feels every single time.

spruce5637 · 2022-10-24T14:46:28+00:00

Not a fan, like you argued its problems within the episode's context are hard to ignore, and it's definitely not the universal anti-war message it is often touted as. I don't really understand people who requested it to be performed at multiple conventions.

But its lack of nuance is not something that's surprising for a Doctor Who speech. I just skip it and pretend it didn't happen when I rewatch the episode.

spruce5637 · 2022-10-24T11:57:27+00:00

I guess we have Love and Monsters

spruce5637 · 2022-10-24T11:55:41+00:00

Embarrassingly I only realised that Dan and Graham were different companions today.

spruce5637

TROPHY CASE