bravura

16 ms·

241.
by bravura 2y ago
Naturally, they'll use AI to detect it.
242.
by bravura 2y ago
By Apple OCR, I mean instead of calling an external cloud API which requires tokens, etc. I simply mean vision which runs on OSX. It can be done in about 30 lines of Swift code.
243.
by bravura 2y ago
A few questions: Does this work in headless mode? Are you getting a screenshot of the whole webpage including scrolling? Or just the visible part. The whole page, like singlepage.js would be great and is much more useful in many circumstanc
244.
by bravura 2y ago
Yes. But I didn't realize that 43% of the words in that dictionary contain "'s". In that case, the probability that, for 3 collisions, there is at least one element in every collision contains "'s" is 31%.
245.
by bravura 2y ago
Strange that all three collisions include "'s"
246.
by bravura 2y ago
Looks like there is a little motion on this topic: https://github.com/lmcinnes/umap/pull/1103
247.
by bravura 2y ago
1) it doesn’t appear search links are shareable or have the query terms are in it 2) are you embedding the search phrases word by word? And using the same model as the documents used? Because I searched for „lead generation“ which any decen
248.
by bravura 2y ago
From a quick glance, it appears that it's because the implementation pushes the entire graph (all edges) to the GPU. Sampling of edges during training could alleviate this.
249.
by bravura 2y ago
I'm surprised the author, given the thoughtfulness of much of the post, didn't decide to model tech debt, since then accumulated debt would be quantified frequently (if inaccurately). Especially since they are optimizing for value
250.
by bravura 2y ago
Link please?
251.
by bravura 2y ago
What does a drummer use for birth control? Their personality. (Agree with sibling posts, getting a great drummer is hard and amazing.)
252.
by bravura 2y ago
I wonder if, instead of just predicting the next n tokens, it could also predict like 128, 512, 2048 etc tokens ahead. Thus learning long-term discourse structure.
253.
RPi "poetry camera" prints AI-generated poem of what it sees, on receipt paper(github.com)
2 points by bravura 3y ago|0 comments
254.
by bravura 3y ago
Thank you. If you want to contribute novel research, a thorough literature search of prior work is essential. And hopefully a comparison to previous approaches. If you didn't find these works in your literature search, I encourage you
255.
by bravura 3y ago
For someone who hasn't been paying attention for the last three months, what are the specific differentiators and strengths/weaknesses of Ollama? How does it compare to llama.cpp or llama-cpp-python, particularly with Metal suppor
256.
by bravura 3y ago
There's a lot to unpack here and a lot of nuance that is getting missed in the discussion. I've learned a similar thing over my years, so I'll share: The pressure to do something amazing or uniquely is very very real. This ca
257.
by bravura 3y ago
UPDATE: I tried Udio and it is very cool, I apologize for being snarky.
258.
by bravura 3y ago
The post you replied to scoped their statement to „coveted“ applications. No one actually believes scarcity drives demand in all cases.
259.
by bravura 3y ago
Don’t be obtuse. You’re comparing garden gnomes with healthcare.
260.
by bravura 3y ago
And just to contribute to the discussion in a meaningful way: The problem with text-to-music isn't really that text is a poor UX for music description, but also that it's almost definitely a one-shot process. And any sort of turn-
261.
by bravura 3y ago
Look, I know I am coming across a bit of a prick. "Plenty of people have been enjoying this category of software." Really? I ask sincerely. Because it seems to me that this category of software is mostly a curiosity / novelty
262.
by bravura 3y ago
Sorry, where did we all get the idea that we want to use text to generate music? That thought really has never entered my head, despite many people trying to shove this UX down my throat. Is it just that we don't have creative thinking
263.
by bravura 3y ago
1) I would really be interested in broad brush strokes to understand how go theory has expanded. 2) I really wish we could shake the ant-farm with chess and go Fischer random chess. There's something nice about not having to memorize o
264.
by bravura 3y ago
This is wrong, or misleading at best. It's a known difficult open problem to create a good audio representation (feature vector). Good, in the case of LSH, would be that representation distance correlates well with human perception. F
265.
by bravura 3y ago
I have another explanation. LLMs are essentially trained on "A B", i.e. is it plausible that B follows A. There's simply a much larger space of possibilities for shorter completions, A B1, A B2, etc. that are plausible. Like
266.
by bravura 3y ago
https://needleberlin.com/2014/07/03/the-two-faces-of-kreuzbe... "36 Brennt, 61 Pennt" 'I’ve tried to come up with a rhyme that works in English: “36’s on fire, 61’s just tired” was one solution
267.
by bravura 3y ago
I didn’t check the code but there would be a few good ways to specify what you want: * browser extension that lets you record a few actions * describing what you want to do with text * a url with one or two lines of desired JSON to extract
268.
by bravura 3y ago
I still think you're missing the point. The idea is that you should use vision APIs and LLMs to build traditional browser automation using a DSL or Python. I don't want to use vision and LLMs for every page. I just want to use vis
269.
by bravura 3y ago
What is positive about the best-case scenario being worse than we thought?
270.
by bravura 3y ago
Are there Python bindings? I couldn't find any.

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