Aldi in the US also has a better selection than this. This person just really likes cheddar.

Maple smoked would be smoked with maple wood, not that they added syrup.

Can neuralink give you cravings for specific foods and beverages (Coke) without even bothering with any media?

I think someone ran the image through an ai upscaler. The textures on the rails an stuff are too smooth and the edges are overly sharpened.

My samsung phone does this level of overprocessing when taking pictures and I wish I could figure out how to turn that off.

https://old.reddit.com/r/pics/comments/ae83eg/a_girl_and_her_hydrant/

I think the second pinky is actually a white line in the rock.

4 years and 20 months ago

Stargate Atlantis season 1 episode 4 may not be enjoyable for you.

The inner diameter is less than the outer diameter which makes for a small overdrive gearing ratio, translating to fewer steps even under normal operation.

The hamster balls also win for style points but that’s arguably walking with extra steps.

From a product development viewpoint, the gun is an uninteresting part. It’s better to use something that already has a mature production line and has been thoroughly field tested. It’s the vision and control systems they are interested in developing, the gun is just the chosen end effector for this application.

Even when they’re ready to start deploying systems like this, there’s a lot of value in using compenents that the military already has a lot of spare parts for and that personnel know how to maintain. I wouldn’t expect a custom gun until units like this are commonplace.

Imagine thinking that PhD’s and postdocs aren’t exploited by capitalism.

I’m not saying normalization is a bad strategy, just that it, like any other processing technique comes with limitations and requires extra attention to avoid incorrect conclusions when interpreting the results.

Because relative to the population density, there were 100 times as many sightings. Or what am I missing.

If you were to attempt to trap and tag bigfoots in both areas, would you end up with 100 times as many angry people in a gorilla suit in the small town? No. You would end up with 1 in both areas. So while the tiny town does technically have 100x the density per capita, each region has only one observable suit wearer.

Assuming the distribution of gorilla suit wearers is uniform, you would expect approximately 99 tiny towns with no big foot sightings for every 1 town with a sighting. So if you were to sample random small towns, because the map says big foots live near small towns, you would actually see fewer hairy beasts than your peer who decided to sample areas with higher population density.

If we could have fractional observations, then all this would be a lot more straightforward, but the discrete nature of the subject matter makes the data imherently noisy. Interpreting data involving discrete events is a whole art and usually involves a lot of filtering.

Simple normalization does amplify signals in low density areas. If a person in a tiny town of 100 reports a bigfoot sighting and another person in an area with 10,000 population also reports a sighting, then with simple normalization the map would show the area with 100 people having 100 times as many big foot sightings per capita as the area with the population of 10k. Someone casually reading the map would erroneously conclude that the tiny town is a bigfoot hotspot and would in general conclude bigfoot clearly prefers rural areas where they can hide in seclusion. When the reality is that the intense signals are artifacts of the sampling/processing methods and both areas have the same number of fursuit wearers.

Wood you just leaf him alone.

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The chain of cities from Detroit to Québec City really looks like it should be a prime candidate for HSR.

A bear has time and motivation to keep trying over and over again to get into the garbage. People are generally much less determined to figure it out.

You can only find a screwdriver by first releasing your intent to use it.

They can quit anytime they want. In fact, they’ve quit 4 times this year already.

That’s been a recurring theme in US based semiconductor for decades. I have two friends who were highly skilled in semiconductor equipment servicing and both have left the industry due to terrible management/pay.

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