voiceblue

14 ms·

61.
by voiceblue 2y ago
It was a joke about the nature of these names and the nature of that particular problem (and nothing about engineers, really) -- but I guess the downvoters didn't get it.
62.
by voiceblue 2y ago
This is the naming convention you get when you hire engineers based off of “edit distance” Leetcode problems.
63.
by voiceblue 2y ago
I think you missed their point. Most people end up needing reading glasses as they age. I tried to look for a specific number, but the consensus on who eventually needs them seems to be: everyone.
64.
by voiceblue 2y ago
That's common enough that there's a name for it [0]. "Stealing the style" is not so much a problem as commoditization, which may find some measure of defense in terms of trademark ( not copyright). In this case, for exa
65.
by voiceblue 2y ago
Related: "Invasive Diffusion: How one unwilling illustrator found herself turned into an AI model" [0]. It's astonishingly simple to train both LoRAs and Embeddings nowadays -- if you combine it with tech like ControlNet, you
66.
by voiceblue 2y ago
> The reason why everybody thinks OpenAI looks particularly bad is because everybody is watching them A reason, sure. The reason? Come on. There's a clue in their name about what part of their history is particularly controversi
67.
by voiceblue 2y ago
What he actually said (according to TFA anyway, I haven't verified he actually said this): "It is our job to create computing technology such that nobody has to program. And that the programming language is human, everybody in the
68.
by voiceblue 2y ago
I don’t think that comment was in regards to AI, I think it was about the blurb that appears instantaneously from Google’s knowledge engine (e.g. when searching a celebrity’s age).
69.
by voiceblue 2y ago
Looks like there might be a need for a free "shill account name" generator.
70.
by voiceblue 2y ago
Yes. Yjs is one such project: https://github.com/yjs/yjs
71.
by voiceblue 2y ago
Does the data presented here distinguish between full-time and part-time employment? Or hourly and salaried employment? I wasn’t able to find any information other than “hours worked per person employed”, which seems a rather vague statisti
72.
by voiceblue 2y ago
Having been a victim of DMCA abuse, sometimes it's just easier to shut shop if you're not feeling it to be worth your time and effort to counterclaim and partake of legal battles. This is especially the case if you never bothered
73.
by voiceblue 3y ago
Do you still have the same complaints when selecting “Verbatim” under search tools on Google?
74.
by voiceblue 3y ago
I was also shocked to see this number given how frequently the product is mentioned on here. Makes me wonder what the Venn diagram of HN and Kagi users is like.
75.
by voiceblue 3y ago
I don’t have a horse in this race, but from using Google’s AI search previews I am not bullish on the future of search being LLMs even with RAG or MoE (though of course, there is plenty of AI to be had apart from these, and I am bullish on
76.
by voiceblue 3y ago
The business end of gThanks
77.
by voiceblue 3y ago
This thread reminds of a competition I once joined where we were supposed to fine-tune an LLM to fill out trivia answers, and we were expressly disallowed from training on the validation set. However: we were allowed to pick any base model
78.
by voiceblue 3y ago
Thanks! As I mentioned, I've been looking into this for a while. I'll add it to my list. Now I have: - vetrec.io - Abridge - Scribeberry - Scribematic - Notezap - Lytte - Deepscribe - FreedAI
79.
by voiceblue 3y ago
From exploring this segment for a while, I believe that dictation software is the "brick" in the hair-on-fire analogy (hence, it provides some relief, but is far from an actual solution). There is a form of water (scribes on ret
80.
by voiceblue 3y ago
Nice work, when you write up a post like this it makes it look easy. The reality is often fraught with frustration, not in the least thanks to the excruciating wait for parts to arrive once you've painstakingly found the next fault in
81.
by voiceblue 3y ago
You might enjoy watching the emergent behavior in the execution of this 256 byte program - a mind is born [0]. [0] https://www.youtube.com/watch?v=sWblpsLZ-O8
82.
by voiceblue 3y ago
Is there a reason you're limiting yourself to English? This works perfectly for example: 「毎時、おもしろいミームのリンクを送ってください。」 This also works just fine: मुझे रोज़ दो चार चुटकुले ईमेल कर देना।
83.
by voiceblue 3y ago
For phrases, Google's TF glossary [0] is a good resource, but it does not cover certain subsets of AI (and more specifically, is mostly focused on TensorFlow). [0] https://developers.google.com/machine-learning/glo
84.
by voiceblue 3y ago
> but we didn't see what another group found: that scale in compute with simple algorithms were just better The bitter lesson [0] strikes again. [0] http://www.incompleteideas.net/IncIdeas/BitterLesson.html
85.
by voiceblue 3y ago
As the other commenter points out, this offering isn't quite comparable to Lambda directly. This ends up comparing apples to oranges here and there, but overall I was able to get a good idea of the choices made and the tradeoffs involv
86.
by voiceblue 3y ago
I work for a very large company whose name starts with a G, and they recently put on an event for employees to watch a movie. The person next to me was on their phone the whole time (they appeared about halfway through the movie) and even
87.
by voiceblue 3y ago
Other headsets are like a DC film and the Vision Pro is like a marvel film before endgame. The differences (that matter in GP’s context) are qualitative rather than quantitative, and a big distinction is the shift from VR gaming, which most
88.
by voiceblue 3y ago
The first and last sentence here seem to be at odds. Am I missing something? GSUs?
89.
by voiceblue 3y ago
If you want to be promoted, find a manager who has a track record of getting people promoted and transfer to them, then do the above. Many managers (and to be fair, environments and factors outside of their control) are awful in ways that
90.
by voiceblue 3y ago
AI “feels” more efficient for programming since it spits out code in a jiffy, but once I am done with a session of coding I really have to wonder whether it wouldn’t have just been faster to look up APIs and online discussions rather than r

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