Recent comments in /f/singularity

Quentin__Tarantulino t1_je8l6u6 wrote

Reply to comment by phriot in The argument that a computer can't really "understand" things is stupid and completely irrelevant. by hey__bert

If you feed that information into a human brain enough times and from enough sources, they will absolutely believe it too. Humans believe all sorts of dumb things that are objectively false. I don’t think your argument refutes OP.

Once AI has other sensory inputs from the real world, it’s intelligence is basically equal to that of biological creatures. The difference is that right now it can’t see, hear, or touch. Once it’s receiving and incorporating those inputs, as well as way more raw data than a human can process, not only will it be intelligent, it will be orders of magnitude more intelligent than the smartest human in history.

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jetro30087 t1_je8l2a4 wrote

Reply to comment by ActuatorMaterial2846 in When people refer to “training” an AI, what does that actually mean? by Not-Banksy

Close, the data is structured to provide a relationship between prompts and the appropriate responses. LLaMa mostly uses publicly curated datasets by AI researchers that focus on a variety of topics. Here's an excerpt from a finetuned Alpaca models training data:

[
{
    "instruction": "Give three tips for staying healthy.",
    "input": "",
    "output": "1. Eat a balanced diet and make sure to include plenty of fruits and vegetables. \n2. Exercise regularly to keep your body active and strong. \n3. Get enough sleep and maintain a consistent sleep schedule."
},
{
    "instruction": "What are the three primary colors?",
    "input": "",
    "output": "The three primary colors are red, blue, and yellow."
},
{
    "instruction": "Describe the structure of an atom.",
    "input": "",
    "output": "An atom is made up of a nucleus, which contains protons and neutrons, surrounded by electrons that travel in orbits around the nucleus. The protons and neutrons have a positive charge, while the electrons have a negative charge, resulting in an overall neutral atom. The number of each particle determines the atomic number and the type of atom."
},
{
    "instruction": "How can we reduce air pollution?",
    "input": "",
    "output": "There are a number of ways to reduce air pollution, such as shifting to renewable energy sources, encouraging the use of public transportation, prohibiting the burning of fossil fuels, implementing policies to reduce emissions from industrial sources, and implementing vehicle emissions standards. Additionally, individuals can do their part to reduce air pollution by reducing car use, avoiding burning materials such as wood, and changing to energy efficient appliances."
},

There are 50K+ examples in the file that the model can use to build relationships between questions and appropriate responses during the training process. If enough relationships are built, the model should be able to infer the correct answer to unique questions.

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imlaggingsobad t1_je8kxbt wrote

Reply to What are the so-called 'jobs' that AI will create? by thecatneverlies

In a post-AGI world there will be new things to do, but they won't be paid, or if they are paid it won't be very much. You could imagine, for example, that there would be a lot of new stuff to do in VR/simulated worlds and perhaps there will be jobs like "world builder" which doesn't exist today.

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Mortal-Region t1_je8jw22 wrote

Reply to comment by Not-Banksy in When people refer to “training” an AI, what does that actually mean? by Not-Banksy

Typically, humans provide the training data, then a program performs the actual training by looping through the data.

EDIT: One exception would be a game-playing AI that learns via self-play. Rather than humans supplying it training data in the form of games played by experts, the training data consists of the games the AI has played against itself.

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Thedarkmaster12 t1_je8jaco wrote

Reply to comment by Not-Banksy in When people refer to “training” an AI, what does that actually mean? by Not-Banksy

Yes, but I believe a company recently trained a model in part on another model. Not sure any statistics but the gist of it is that it can be done by models. And ideally, that’s how we get ASI and the singularity. Only a super powerful AGI could improve on itself in such a way that would create something better than us.

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