gradascent

5 ms·

1.
by gradascent 8mo ago
Carpenter and park ranger sound gratifying. But truck driver? Can you help me understand the appeal?
2.
by gradascent 8mo ago
I just took the Amtrak from Southern California to Seattle. Pros: - space! wide seats and leg room are awesome (I'm 6'5" so this is everything) - Freedom to move around and explore. Lounge car, dining car, snack bar - Spectac
3.
by gradascent 9mo ago
Similar to the author’s story, I crashed on my bike going pretty quickly on a busy road. No serious injuries but I ended up with scrapes and a softball-sized bruise which lasted over a month. But after I fell and got off the road a man sitt
4.
by gradascent 10mo ago
From the figure in the first paper listed: > Responses to the query “Write a metaphor about time” clustered by applying PCA to reduce sentence embeddings to two dimensions. […] The responses form just two primary clusters: a dominant clu
5.
by gradascent 10mo ago
I was thinking the same thing. That one accelerates its growth in the presence of radiation. But it also seeks out human flesh and brains to build its biomass intelligence blob, unfortunately.
6.
by gradascent 1y ago
Adding to the chorus: I like the older images and the precise year is important! The underground shelter is something that wouldn’t exist just a few years after that photo, or before.
7.
by gradascent 1y ago
Great deep dive. I've learned a lot already and haven't even finished the introduction
8.
by gradascent 1y ago
Then why do I never get an “I don’t know” type response when I use Claude, even when the model clearly has no idea what it’s talking about? I wish it did sometimes.
9.
by gradascent 2y ago
I've found this "book" (series of jupyter notebooks) to be a fantastic course on the Kalman filter from basics to advanced topics. https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Pyt...
10.
by gradascent 2y ago
They're all names of popular Kendrick Lamar songs. Don't ask me why though
11.
by gradascent 2y ago
Or maybe the final moment was a sigh of acceptance and gratitude for the live he lived. Nobody knows but him.
12.
by gradascent 2y ago
On a similar note, I really hope that the AI companies that don't make it, but have invested a lot in curating and annotating high quality datasets, would release them to the public. Autonomous car and robotics companies in particular
13.
by gradascent 2y ago
If you want to gain familiarity with the kind of terminology you mentioned here, but don't have a background in graduate-level mathematics (or even undergrad really), I highly recommend Andrew Ng's "Deep Learning Specializati
14.
by gradascent 2y ago
I didn't find it confusing at all. I think it's totally ok to re-use phrasing made famous by someone else - this is how language evolves after all.
15.
by gradascent 2y ago
Interesting! I would like to learn more about how AI is being applied to robotics. Do you have any suggestions for how to keep up with developments/ideas in this field?
16.
by gradascent 2y ago
Very cool. I'm curious - did you find the results from your mixture of experts model to be (qualitatively) better than with the standard approach?
17.
by gradascent 2y ago
fyi I think you have bias and variance the wrong way around. Over-fitting indicates high variance
18.
by gradascent 3y ago
Then perhaps a method emerges out of this to make training faster (but not inference) - do early training on highly quantized (even ternary) weights, and then swap out the weights for fp16 or something and fine-tune? Might save $$$ in train
19.
by gradascent 3y ago
Because it shifts the burden (or at least appearance) of responsibility from those experiencing homelessness to the government orgs tasked with housing them.
20.
by gradascent 3y ago
This is great, but what is a possible use-case of these massive classifier models? I'm guessing they won't be running at the edge, which precludes them from real-time applications like self-driving cars, smartphones, or military.
21.
by gradascent 3y ago
I imagine this is a stage in a larger plan to incorporate an AI assistant to excel? Being able to talk to your spreadsheet in natural language and have it do a bunch of analysis and visualizations would be a huge productivity booster.
22.
by gradascent 3y ago
That's the question I'm asking myself too. I live in Seattle, where you can't walk two blocks without seeing a new (wooden) residential building going up. I'm sure that newer buildings like these take more precautions th
23.
by gradascent 3y ago
If I remember correctly, the algorithm in Alpha Go used a combination of reinforcement learning and searching the space of moves and possible outcomes to determine the next move. So it does indeed use both search and learning. Regardless, t
24.
by gradascent 3y ago
I imagine that carbon footprint could be reduced substantially by this too, at least on a per-watt of utilized energy basis. Imagine if all computer chips used semiconductor materials - then more of the input electricity is actually put tow
25.
by gradascent 4y ago
I've only tried a few songs but they've mostly been bangers! I did come across a couple examples where the recommended songs just heavily sampled the original but overall very impressed.
26.
by gradascent 4y ago
I think this line from the article serves as a good summary: > We’ve never seen anything like this in California housing history where a residential building of any height, with any amount of parking, can be placed in the wealthiest comm
27.
by gradascent 4y ago
In such a safety-critical system, it's important to have backups. You need at least two cameras to accurately estimate depth, and cameras can fail for a variety of reasons (sun glare, low lighting, heavy fog). Radar, at the very least,
28.
by gradascent 4y ago
I'm always in awe at how such a simple algorithm (natural selection) can create such beautifully complex systems (organisms or even super-organisms).
29.
by gradascent 4y ago
Why are you so mean-spirited?
30.
by gradascent 4y ago
or writing assembly code

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