callesgg (u/callesgg)

callesgg commented on Into Thin AirPods defector.com/into-thin-ai... · Posted by u/throwaway2037

dmm · 3 years ago

> Possibly also why the map showed the boys location.

If it means even a slight chance of attracting unfounded vigilantism, mandatory participation in a poorly understood surveillance network seems like a pretty big downside associated with using an iphone.

callesgg · 3 years ago

It’s not mandatory. You have to explicitly enable participation. But most people probably do, as you yourself can’t use the location tracking, unless you opt in yourself.

callesgg commented on Into Thin AirPods defector.com/into-thin-ai... · Posted by u/throwaway2037

callesgg · 3 years ago

The AirPods location as shown on the map is not the actual location, it is the location of the phone that last reported “hearing” the signal from the AirPods.

When you are close to them and connected to them, the map will show your own location not the AirPods.

This explains why the AirPods tracked the authors own location at times. Possibly also why the map showed the boys location. He was using Bluetooth so his phone was actively listening, and actively connected to the internet and due to this, the boys iPhone was quick to post it’s location when it heard the authors AirPods. Where as other people in the museum was not using their iPhones so their phones would not be actively listening or if they where would not upload the position in real-time.

callesgg commented on Language models can explain neurons in language models openai.com/research/langu... · Posted by u/mfiguiere

creatonez · 3 years ago

It's not clear whether or not LLMs have internal thoughts -- each token generation could absolutely have a ton of thought-like modelling in the hidden layers of the network.

What is known is that these internal thoughts get erased each time a new token is generated. That is, it's starting from scratch from the contents of the text each time it generates a word. But you could postulate that similar prompt text leads to similar "thoughts" and/or navigation of the concept web, and therefore the thoughts are continuous in a sense.

callesgg · 3 years ago

True, LLMs definetly has something that is "thought-like".

But todays networks lacks the recursion(feedback where the output can go directly to the input) that is needed for the type of internalized thoughts that humans have. I guess this is one thing you are pointing at by mentioning the continuousnes of the internals of LLMs.

callesgg commented on Language models can explain neurons in language models openai.com/research/langu... · Posted by u/mfiguiere

jmfldn · 3 years ago

"LLMs are quickly going to be able to start explaining their own thought processes better than any human can explain their own."

There is no "their" and there is no "thought process" . There is something that produces text that appears to humans like there is something like thought going on (cf the Eliza Effect), but we must be wary of this anthropomorphising language.

There is no self reflection, but if you ask an LLM program how "it" knows something it will produce some text.

callesgg · 3 years ago

The text output of a llm is the thought process. In this context the main difference between humans and llms, is that llms can’t have internalized thoughts. There are of course other differences to, like the fact that humans have a wider gamut of input: visuals, sound, input from other bodily functions. And the fact that we have live training.

callesgg commented on Large-scale study reveals autoimmune disorders now affect around one in ten gla.ac.uk/news/headline_9... · Posted by u/CharlesW

callesgg · 3 years ago

The stronger your immune system is the higher are your chances to survival. Until your immune system is so strong it attacks it’s own host.

Evolutionary pressures will make sure that organisms are very close to the edge between to weak and to strong.

One naive way of interpreting this is that 50% of the population will have a immune response that is to strong (above the edge) and 50% to weak (under the edge). But it is naive to say that, as this is a topic that has much more complexities than the one dimensional model that I have described here.

At what percentage the threshold of the statistics for what we call autoimmune disease would be located would be interesting to know.

callesgg commented on Contrast Rebellion contrastrebellion.com/... · Posted by u/gjvc

callesgg · 3 years ago

To hell with webpages that alter scrolling behavior.

But to be fair this page was better than most pages that dare to do it, it was almost not buggy on this page.

callesgg commented on Effect of LSD on reinforcement learning in humans (2022) cambridge.org/core/journa... · Posted by u/nabla9

tiku · 3 years ago

I'm more scared of LSD than ever before, after hearing about that you see "scanlines" for ever after using it. Anyone got this after?

https://www.insider.com/9-years-after-acid-trip-man-has-pers...

callesgg · 3 years ago

"The mind makes it real"

If you search for patterns in your "input data" you will find them. If you search for the patterns enough, your "mind" will automate the process. Then you have those "patterns" in your "normal" perception.

An example: if focus on the noice floor of you hearing for a few days you will begin to perceive tinnitus.

My hypothesis would be that the man from the article took the drug, became scared cause he perceived scan lines in is visual perception, then placed loots of attention on the scan lines to determine if they would go away. The attention he placed on the scan lines strengthened the perceptions and now he can’t undo the conditioning he did to his visual processing system.

callesgg commented on Why the brain’s connections to the body are crisscrossed quantamagazine.org/why-th... · Posted by u/rolph

thulle · 3 years ago

I read some brain encyclopedia ages ago, so details are a bit foggy, but when the connections between the two hemispheres of the brain gets injured/damaged it can have some really strange effects. In the book they retold tests where they did things like showing a picture of a shovel to only one eye and ask the person to think of a garden tool, and they'd say shovel. Then they'd ask the person to explain why they're thinking of a shovel, and they'd tell some elaborate story like having met their neighbour a few days ago who said that they need to buy a shovel, or something similar. This due to the connection between the part(s) of the brain that constructs the story having severed connections to the parts the receives and processes the visual input of that eye. There was a few hundred pages of tests like these with wildly different effects depending on where the connections had been damaged.

Without injury the input should be shared just fine, but since the difference is so severe when the connections are damaged I guess (with no credentials or so to back it up) that there could be some hard-to-measure differences in thoughts formed depending on which eye is used.

callesgg · 3 years ago

An intressting thing with that, is that the side of the brain that controls speech might be completly accurate. It could have said showel cause that side of the brain thoght of its neighbors shovel. The only thing that it would be missing would be that it was influenced to think of that shovel event by input given to the other brain half.

callesgg commented on Nvidia RTX Remix Runtime Open Source Available Now nvidia.com/en-us/geforce/... · Posted by u/cbg0

willis936 · 3 years ago

Crysis has a DX9 mode, so maybe.

callesgg · 3 years ago

The crysis dx9 mode does most likely not use the dx9 fixed pipeline.