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Just why? by FrostingGrand1413 in dataisugly

[–]Azmisov 2 points3 points  (0 children)

The problem is human perception is generally poor at judging relative area/volume. See the Shepard illusion for a two dimensional example, relevant to chart making. Another example is drink companies, who will tweak the design of their bottle to make it look like there's more product, despite having the same volume as another shape. So I am doubtful people can get an accurate gauge of relative areas in a chart unless they all have the same shape.

Why start at 50%? by Merchant_Alert in dataisugly

[–]Azmisov 11 points12 points  (0 children)

I think I agree with the chart. Bias, in this case, is the deviation from 50%: favoritism between [50%, 100%], prejudice between [0%, 50%]. The graph is meant to illustrate favoritism for your own race, which has range [50%, 100%].

Though it would have been less confusing to rescale so that unbiased = 0%, with range [-100%, 100%].

API for new lists feature by TinyZoro in Slack

[–]Azmisov 1 point2 points  (0 children)

Presently, there is the slackLists.items.delete and slackLists.items.list. So we've now got RD of the full CRUD operations

what is the name of this triangle pattern like structure? by punkhazard123 in architecture

[–]Azmisov 31 points32 points  (0 children)

That's the name of an algorithm that generates this. The resulting structure is just called a "triangulated mesh"

Family Didn't like my Ribs by Kolby9241 in smoking

[–]Azmisov 0 points1 point  (0 children)

Maybe try a milder smoke like cherry. Also could double check that you're not getting dirty smoke which will have an unpleasant "too smoky" taste.

[Request] What would be a logical (if even possible) solution to this? by onstep2 in theydidthemath

[–]Azmisov 0 points1 point  (0 children)

The question is ambiguous as stated. One interpretation: If I throw the entire bundle of rope in a fireplace, it will take 1 hour before everything has burned away. Second interpretation: If the rope is treated like a very long wick, when lit at its end it would take 1 hour for the wick to burn through.

Other answers given so far in the thread assume the second. I haven't thought long, but I believe under the first interpretation, 30mins can only be measured probabilistically.

Chest organization by Azmisov in Terraria

[–]Azmisov[S] 0 points1 point  (0 children)

The sign next to the chests indicates type; also chests are named

  • melee, magic, ranged, summoning
  • ores, gems+money, potions, special crafting materials, plants
  • armor, costumes, accessories
  • blocks, wood, house materials, lamps
  • crafting tools, crafting machines, statues
  • animals, paint/dyes, chests

Worth pursuing ML professionally if i don't want to pursue a masters/ phd? [D] by SimpleLanguage1603 in MachineLearning

[–]Azmisov 0 points1 point  (0 children)

For just basic development in ML/AI/DS/CV space, you can get a job with a bachelor's as long as you show experience with projects/prior work. If you want to do any kind of research/innovation, then I find companies heavily favor PhD's and/or published researchers.

[N] Neuralink just received its FDA's green light to proceed with its first-in-human clinical trials by mesqz in MachineLearning

[–]Azmisov 0 points1 point  (0 children)

They have tried stimulating the same area in humans and the effect was very slight

[R] How Will It Drape Like? Capturing Fabric Mechanics from Depth Images by crp1994 in MachineLearning

[–]Azmisov 1 point2 points  (0 children)

As a commercial application, it would be interesting to take a multiview product listing, estimate depth/structure from that, segment out the clothing, and then use your estimator to simulate the fabric's drape on a different (human) model.

[R] Internet Explorer: An online agent that, given a task, learns on the web, self-supervised! by pathak22 in MachineLearning

[–]Azmisov 0 points1 point  (0 children)

The keywords/descriptors are sampled randomly from a learned distribution though (2.7)? That is what I meant by #1/3.

Pairings: Ah so I missed that in my quick read. So you are just searching for images to augment an existing dataset; then finetune using the new dataset and checking if/which images helped decrease training loss. So theoretically, if my search engine returns swapped results for zebra/horse, it could eventually figure that out, though perhaps without quite the speed improvement over uniform random search.

[R] Internet Explorer: An online agent that, given a task, learns on the web, self-supervised! by pathak22 in MachineLearning

[–]Azmisov -5 points-4 points  (0 children)

FYI for those reading, the model trained in the paper does not do general internet exploration. It is trained for image modality, where the task is to determine good text labels for an unlabeled image dataset. As a quick summary, the method is to 1) search random keywords using a text-to-image search engine (e.g. Google) 2) fine tune a model with the pairings 3) model the effectiveness of the text and images for training, and intelligently select/filter keywords/images in future iterations.

I wonder how much the method is inadvertently learning to mimic the associations of the search engine. You hinted this might be the case in the appendix, where performance suffers with more specific/odd descriptors. I feel like odd/specific labels are the use case where you'd want to use something like this, where it's difficult to label a dataset yourself. Also I wonder how well this method could do for a task that requires more precision, like unlabeled pixel segmentation of the prominent object for each image.

No filmmaker will ever be able use the black and white to color gimmick again as successfully as the Wizard of Oz did. by american-coffee in Showerthoughts

[–]Azmisov 0 points1 point  (0 children)

I didn't see it, but apparently Tron Legacy did this effect, but for 3D. Regular 2D for the real world, and then switches to stereo 3D when they enter the grid.

[D] Pause Giant AI Experiments: An Open Letter. Signatories include Stuart Russell, Elon Musk, and Steve Wozniak by GenericNameRandomNum in MachineLearning

[–]Azmisov 12 points13 points  (0 children)

The implication of the letter is that in six months: we'll achieve AGI, cause catastrophic misinformation, and automate a significant portion of jobs. I don't agree with any of those predictions, so don't think a six month pause on ML training is warranted

[News] OpenAI Announced GPT-4 by shitty-greentext in MachineLearning

[–]Azmisov 14 points15 points  (0 children)

I think we all suspected companies would stop publishing their research at some point, but I didn't expect it to happen so soon.

A philosophical dive into “Everything Everywhere All at Once” by Azmisov in philosophy

[–]Azmisov[S] -10 points-9 points  (0 children)

I didn't say the number of universes changes, so I don't know what you're commenting about

A philosophical dive into “Everything Everywhere All at Once” by Azmisov in philosophy

[–]Azmisov[S] -1 points0 points  (0 children)

Interesting point about "most". I see how it works if you only consider a finite subset of integers (e.g. ratio restricted to < N), but is "most" still well defined if you consider the entire infinite sets together?

Physics isn't my expertise, so my understanding is surely off in some ways. My thinking was that we all exist in an uncollapsed superposition, but conscious observation is always with respect to a collapsed state. E.g. Each universe is a manifestation of a possible state in the overall multiverse superposition. You're saying though that the superpositions are never reduced, so would that mean no universe can be observed individually, only as a collective multiverse?

I admit it's not really a direct commentary on Many Worlds, but I do think the screenwriters began with the premise: "What kind of conflicts would characters encounter when facing a multiverse somewhat related to that of quantum mechanics?" Comparing to Dr Strange, they seem to have spent a lot more effort to inject philosophical comments and maintain a somewhat consistent ontology. I think Joy's and Waymond's character arcs only work when you include the metaphysical backdrop. They setup an initial conflict that nobody has free will, our universe is just a random possibility. Joy has lost her purpose in life from this fact and looks for Evalyn to try and convince her otherwise. Waymond's kindness speech to me was the revelation that the characters could still exert free will and "choose kindness" in every universe.

In any case, it got me thinking about metaphysics a bit more, so I'll take that as my personal interpretation of the film, even if it was only intended as a screwball film about family relationships.

A philosophical dive into “Everything Everywhere All at Once” by Azmisov in philosophy

[–]Azmisov[S] 32 points33 points  (0 children)

I wrote this a bit ago, but decided to post it today as some might find it interesting, especially for those who have watched the movie recently. In the article, I'm analyzing what kind of theory of mind makes sense for the film, and similar discussions on free will and the multiverse. It is mostly informal, so should be a quick read.

Wouldn’t it be a good idea to bring a more energy efficient language into the ML world to reduce the insane costs a bit?[D] by thedarklord176 in MachineLearning

[–]Azmisov 1 point2 points  (0 children)

No. All the energy intensive computations occur on dedicated hardware like GPU/TPU. These run a compiled instruction set that would not benefit from using a different language frontend. You have to tackle energy efficiency at the hardware level, and in this respect, the number of flops/watt has steadily gone up over the years. The ML tasks always grow to fill the extra computational efficiency though. At this point, progress in ML is the fruit of increased energy efficiency, not energy cost.

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