3 ms·

Most of those frames are redundant.

bena 4y ago
And unclassified. And of poor quality. Babies have a much harder task. They have to construct a corpus of knowledge from absolutely nothing.
- the8472 4y ago
  The upside is that babies get to interact with the environment they're training on. Image models can't move the camera a few cm to the right if they're interested in the perspective of a particular scene.
- trasz2 4y ago
  How do we know they start from nothing?
  - CamperBob2 4y ago
    In fact, we're pretty sure that they don't "start from nothing." E.g., https://en.wikipedia.org/wiki/The_Language_Instinct https://en.wikipedia.org/wiki/The_Language_Instinct
    - bena 4y ago
      We're not pretty sure of anything e.g. https://en.wikipedia.org/wiki/Educating_Eve https://en.wikipedia.org/wiki/Educating_Eve
      - CamperBob2 4y ago
        On the surface, that sounds like a reasonable position to take. ("Cowley proposes an alternative: that language acquisition involves culturally determined language skills, apprehended by a biologically determined faculty that responds to them. In other words, he proposes that each extreme is right in what it affirms, but wrong in what it denies. Both cultural diversity of language, and a learning instinct, can be affirmed; neither need be denied.") GPT's ability to fool intelligent people into thinking that it is "intelligent" itself seems like a powerful argument that language, more than anything else, is what makes humans capable of higher thought. Language is all GPT has. (Well, that and a huge-ass cultural database.) Intelligence is one of those areas in which, once you fake it well enough, you've effectively made it. Another 10x will be enough to tie the game against an average human player.
        bena 4y ago
        There's a really easy, yet unconscionably horrible experiment we could perform to test the assumption that we're preprogrammed with any sort of knowledge. Take a baby and stick it in a room. Let it grow up with absolutely no stimulation whatsoever. They are given food and that's about it. What do you think it can demonstrate knowledge of by the time it reaches 5? 10? 15? All behavior is learned behavior. People talk about sucking and breathing and walking horses and what not, but babies do have to learn how to latch and how to feed. Now, they can work it out themselves. But quick acquisition of a skill does not mean the skill already existed. Not to mention it's a far cry from sucking to language. Or knowing what a person is. Or who a person is.
- coolspot 4y ago
  Not absolutely nothing, the neural net is initialized with some weights encoding basic things (breathing, sucking, crying, etc.). Newborn horse walks and follows mother after first 5-10 minutes.
lajamerr 4y ago
There's value in redundancy and continuous stream of images where one follows the other. It would be nice to have a dataset of a couple "raising" a Video recorder for 1 year as if they would a baby. A continuous stream of data. Could train a model to predict the next frames based on what it's seen so far.
- mindcrime 4y ago
  It would be nice to have a dataset of a couple "raising" a Video recorder for 1 year as if they would a baby. A continuous stream of data. The project I'm working on right now is to build a sort of "body" for a (non ambulatory, totally non anthropomorphic) "baby AI" that senses the world using cameras, microphones, accelerometer/magnetometer/gyroscope sensor, temperature sensors, gps, etc. The idea is exactly to carry it around with me and "raise" it for long periods of time (a year? Sure, absolutely, in principle. But see below) and explore some ideas about how learning works in that regime. The biggest (well, one of the biggest) challenge(s) is going to be data storage. Once I start storing audio and video the storage space required is going to ramp up quickly, and since I'm paying for this out of my own pocket I'm going to be limited in terms of how much data I can keep around. Will I be able to keep a whole year? Don't know yet. There's also some legal and ethical stuff to work out, around times when I take the thing out in public and am therefore recording audio and video of other people.
  - sharemywin 4y ago
    here was an article on using latent embeddings for compression. might be useful. https://pub.towardsai.net/stable-diffusion-based-image-compresssion-6f1f0a399202 https://pub.towardsai.net/stable-diffusion-based-image-compr...
  - lajamerr 4y ago
    Glad to hear you are working on such a project. There definitely will be a lot of privacy concerns in any such project so it may be difficult to open source the data to broad public. But could still be useful to research institutes who follow privacy guidelines. It might be best to do a short stint of 1 week to test the feasibility. That should give you a good estimate on future projections of how much data it will consume after a month, 3 months, and a year. I imagine any intelligent system could work with reduced data quality/lossy data at least on the audio. As long as it's consistent in the type/amount of compression. So instead of WAV/FLAC/RAW. You could encode it to something like Opus 100 Kbps and that would give you 394.2 Gigabytes of Data for a single year for the audio. As for video... it would definitely require a lot of tricks to store on a hobbyist level.

bena 4y ago

And unclassified. And of poor quality. Babies have a much harder task. They have to construct a corpus of knowledge from absolutely nothing.

the8472 4y ago
The upside is that babies get to interact with the environment they're training on. Image models can't move the camera a few cm to the right if they're interested in the perspective of a particular scene.
trasz2 4y ago
How do we know they start from nothing?
- CamperBob2 4y ago
  In fact, we're pretty sure that they don't "start from nothing." E.g., https://en.wikipedia.org/wiki/The_Language_Instinct https://en.wikipedia.org/wiki/The_Language_Instinct
  - bena 4y ago
    We're not pretty sure of anything e.g. https://en.wikipedia.org/wiki/Educating_Eve https://en.wikipedia.org/wiki/Educating_Eve
    - CamperBob2 4y ago
      On the surface, that sounds like a reasonable position to take. ("Cowley proposes an alternative: that language acquisition involves culturally determined language skills, apprehended by a biologically determined faculty that responds to them. In other words, he proposes that each extreme is right in what it affirms, but wrong in what it denies. Both cultural diversity of language, and a learning instinct, can be affirmed; neither need be denied.") GPT's ability to fool intelligent people into thinking that it is "intelligent" itself seems like a powerful argument that language, more than anything else, is what makes humans capable of higher thought. Language is all GPT has. (Well, that and a huge-ass cultural database.) Intelligence is one of those areas in which, once you fake it well enough, you've effectively made it. Another 10x will be enough to tie the game against an average human player.
      - bena 4y ago
        There's a really easy, yet unconscionably horrible experiment we could perform to test the assumption that we're preprogrammed with any sort of knowledge. Take a baby and stick it in a room. Let it grow up with absolutely no stimulation whatsoever. They are given food and that's about it. What do you think it can demonstrate knowledge of by the time it reaches 5? 10? 15? All behavior is learned behavior. People talk about sucking and breathing and walking horses and what not, but babies do have to learn how to latch and how to feed. Now, they can work it out themselves. But quick acquisition of a skill does not mean the skill already existed. Not to mention it's a far cry from sucking to language. Or knowing what a person is. Or who a person is.
coolspot 4y ago
Not absolutely nothing, the neural net is initialized with some weights encoding basic things (breathing, sucking, crying, etc.). Newborn horse walks and follows mother after first 5-10 minutes.

lajamerr 4y ago

There's value in redundancy and continuous stream of images where one follows the other. It would be nice to have a dataset of a couple "raising" a Video recorder for 1 year as if they would a baby. A continuous stream of data. Could train a model to predict the next frames based on what it's seen so far.

mindcrime 4y ago
It would be nice to have a dataset of a couple "raising" a Video recorder for 1 year as if they would a baby. A continuous stream of data. The project I'm working on right now is to build a sort of "body" for a (non ambulatory, totally non anthropomorphic) "baby AI" that senses the world using cameras, microphones, accelerometer/magnetometer/gyroscope sensor, temperature sensors, gps, etc. The idea is exactly to carry it around with me and "raise" it for long periods of time (a year? Sure, absolutely, in principle. But see below) and explore some ideas about how learning works in that regime. The biggest (well, one of the biggest) challenge(s) is going to be data storage. Once I start storing audio and video the storage space required is going to ramp up quickly, and since I'm paying for this out of my own pocket I'm going to be limited in terms of how much data I can keep around. Will I be able to keep a whole year? Don't know yet. There's also some legal and ethical stuff to work out, around times when I take the thing out in public and am therefore recording audio and video of other people.
- sharemywin 4y ago
  here was an article on using latent embeddings for compression. might be useful. https://pub.towardsai.net/stable-diffusion-based-image-compresssion-6f1f0a399202 https://pub.towardsai.net/stable-diffusion-based-image-compr...
- lajamerr 4y ago
  Glad to hear you are working on such a project. There definitely will be a lot of privacy concerns in any such project so it may be difficult to open source the data to broad public. But could still be useful to research institutes who follow privacy guidelines. It might be best to do a short stint of 1 week to test the feasibility. That should give you a good estimate on future projections of how much data it will consume after a month, 3 months, and a year. I imagine any intelligent system could work with reduced data quality/lossy data at least on the audio. As long as it's consistent in the type/amount of compression. So instead of WAV/FLAC/RAW. You could encode it to something like Opus 100 Kbps and that would give you 394.2 Gigabytes of Data for a single year for the audio. As for video... it would definitely require a lot of tricks to store on a hobbyist level.