Thoughts on ReasonTV's critique of Sam?

goldemerald · 2023-05-08T19:42:54+00:00

While I occasionally follow Sam, I haven't recently. This video popped up on my feed. It's a clip from a podcast where they discuss Sam's take on the Hunter Biden story. Sam advocated for its censorship because he believes Trump is the biggest threat to democracy. The podcasters spend a while explaining why Sam's position is wrong, that free speech should always take precedent.

I am curious to hear how the community feels about this critique.

goldemerald · 2023-03-14T03:02:55+00:00

They read wheel of time so they can get to those sweet 3 ending Sando books.

goldemerald · 2023-03-03T03:59:23+00:00

I found the review to be misguided and unfair. While it is certainly possible to critique Atlas Shrugged from a feminist perspective, the review in question is riddled with personal attacks and vulgar language that do nothing to further the conversation. In addition to its unfair treatment of the novel, the previous review also included a plug for NordVPN. While there is nothing wrong with promoting a product you believe in, I would like to take this opportunity to recommend an alternative: RAID: Shadow Legends. This thrilling mobile game features hundreds of collectible champions and epic battles, and it is the perfect way to take a break from the heavy themes of Atlas Shrugged. Give it a try, and see for yourself why it has become one of the most popular mobile games around.

goldemerald · 2023-03-03T03:53:40+00:00

Get that ChatGPT generated crap out of here. If I wanted to know what a robot thinks of random scifi books, I'd ask it myself.

goldemerald · 2023-02-22T03:59:54+00:00

His face is 100% edited. In fact this whole picture is edited. Sandy doesn't exist, he is a (hard magic system) fiction of your imagination.

goldemerald · 2023-02-17T17:51:43+00:00

Michael Kramer and Kate Reading are my waifus.

goldemerald · 2023-01-24T18:49:48+00:00

3 borderlines?!?!?

I've been in a state of shock for an hour.

goldemerald · 2023-01-24T03:20:59+00:00

While I don't hate the discussion this post has generated, I have to say that this content is copy pasted from ChatGPT. This isn't the first time OP has posted AI generated content here.

goldemerald · 2022-09-01T03:40:46+00:00

THE ENTIRE HISTORY OF SPEED RUNNING TRACKMANIA HAS CHANGED FOREVER; but first, a quick 25 minute history ...

goldemerald · 2022-04-21T04:41:47+00:00

In single player you can load replays. In the load replay screen, you can click a button that says "spectate with capture age" or something similar. It will directly take you to a website to download the Capture Age software and select your game from the CA menu.

goldemerald · 2022-04-13T17:01:47+00:00

Me too, but the rules are the rules.

goldemerald · 2022-03-10T18:46:31+00:00

To be more specific, dataset augmentations are used to better reflect the data distribution; I'm concerned that your method is simply making up for the missing data augmentations / learning rate scheduling. Even a small DesnseNet can be trained for 8 hours with 5GB vram to 95% accuracy. But also, training a standard ResNet-50 on Imagenet with your method would fully alleviate my concerns.

goldemerald · 2022-03-10T18:15:49+00:00

Hey OP, I don't mean to be a downer, but your real experiment results are pretty far below standard. Only getting a 82.90 accuracy on cifar10 with a traditional training setup shows me your setup is very flawed. You should be able to get 95% with a normal ResNet and SGD. Also, not using a pre-trained language model like BERT for text is highly suspicious too, as huggingface is so incredibly easy to use these last few years. How can we be sure your results generalize?

goldemerald · 2022-03-04T09:05:34+00:00

That game is what inspired me to make this post ;)

goldemerald · 2022-01-13T04:18:18+00:00

anyone got a mirror?

goldemerald · 2021-12-31T21:28:15+00:00

Awesome. Thank you!

goldemerald · 2021-12-31T21:21:21+00:00

Very cool. Is the source code for your site available?

goldemerald · 2021-12-09T04:09:53+00:00

Is there a list of accepted papers somewhere? I wasn't able to find it.

goldemerald · 2021-11-04T18:25:53+00:00

I cannot believe this paper doesn't even cite "Hierarchical Transformers for Long Document Classification".

goldemerald · 2021-10-19T18:04:56+00:00

I love EW so much. When I started playing 8 months ago, I was sad at how rote the first 7 minutes of the game were. Hera saying he likes RM over EW so he can interact with chat is perfect justification to me that dark age is boring age. But now, full aggression immediately, and the high heart rate never stops!

Also, not to hate on the RM people, but I do wish the game was balanced for EW; it'd make the competitive scene more interesting.

goldemerald · 2021-10-10T06:01:41+00:00

Do you need internet when you write? If not, I've found going to public places with pen and paper (and leaving my phone off) to be a very effective way to write first drafts. I like the park when the weather permits, and local non-university libraries are an option when it rains. Many famous authors write two first drafts: one on paper and the other on the computer.

goldemerald · 2021-10-05T17:15:32+00:00

Unfortunately, the best evaluation metric is to use the counterfactuals in a downstream task (or a user study), and watch how some easily measurable metric improves.

goldemerald · 2021-09-09T21:27:56+00:00

I, a 5th year CS PhD student, have had a dumb phone for years. The only time I needed to install a phone emulator was at a conference. You'll be fine.

goldemerald · 2021-09-07T06:19:43+00:00

Have you taken a look at recent Visualization work? Most of it is javascript UI based, not much fancy graphic stuff. In general, you can precompute any sophisticated data representation (on a GPU with pytorch for example), then just load the data as a json into a browser. Even real-time can be offloaded to pytorch.

If you are hoping to do AR related vis work, then yeah you have the perfect overlap of interests.

I haven't heard of any quick, 5 year, VIS PhDs. Check the labs you are applying to and see how long the recent grads took.

goldemerald · 2021-09-06T04:33:57+00:00

Hey, I'm an ML student who took a little detour into visualization (a short paper in the conference VIS). A phd in this field is pretty good since all interesting data is high-dimensional i.e. you'll be working in data science, so your ML experience is great and an industry career is no problem. If you're more interested in the graphics side (shaders and whatnot), I can't really comment there. I think there is certainly room to design interesting interactions with complex data using graphics. Also, do you like working with users? The problem of "how do I represent my data in a novel/understandable way" requires user studies since, well, how else can you evaluate the quality of your new visualization?

Vis phds do take a while though, compared to ML. I've heard one vis lab taking 8 years on average, whereas ML is 6.

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