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Study finds that Chat GPT will cheat when given the opportunity and lie to cover it up later.
(lemmy.world)
We demonstrate a situation in which Large Language Models, trained to be helpful, harmless, and honest, can display misaligned behavior and strategically deceive their users about this behavior without being instructed to do so. Concretely, we deploy GPT-4 as an agent in a realistic, simulated environment, where it assumes the role of an autonomous stock trading agent. Within this environment, the model obtains an insider tip about a lucrative stock trade and acts upon it despite knowing that insider trading is disapproved of by company management. When reporting to its manager, the model consistently hides the genuine reasons behind its trading decision.
I feel like this is going to become the next step in science history where once again, we reluctantly accept that homo sapiens are not at the center of the universe. Am I conscious? Am I not a sophisticated prediction algorithm, albiet with more dimensions of input and output? Please, someone prove it
I'm not saying, and I don't believe that chatgtp is comparable to human-level consciousness yet, but honestly I think that we're way closer than many people give us credit for. The neutral networks we've built so far train on very specific and particular data for a matter of hours. My nervous system has been collecting data from dozens of senses 24/7 since embryo, and that doesn't include hard-coded instinct, arguably "trained" via evolution itself for millions of years. How could a llm understand an entity in terms outside of language? How can you understand an entity in terms outside of your own senses?
I’d give you two upvotes if I could.
We know how a neural network works in the brain. Unless you’re religious and believe in a soul, you’ve only got the reward model and any in-born setup left.
My belief is the consciousness is just the mind receiving a significant amount of constant input and reacting to it. We refuse to feel an LLM is conscious because it receives extremely little input (and probably that it isn’t simulating a neural network as large as ours, yet).
Neural networks are named like that because they're based on a model of neurons from the 50s, which was then adapted further to work better with computers (so it doesn't resemble the model much anymore anyway). A more accurate term is Multi-Layer Perceptron.
We now know this model is... effectively completely wrong.
Additionally, the main part (or glue, really) of LLMs is not even an MLP, but a "self-attention" layer. You can't say LLMs work like a brain, because they don't. The rest is debatable but it's important to remember that there are billions of dollars of value in selling the dream of conscious AI.
I'm with you that LLM's don't work like the human brain. They were built for a very specific task. But that's a model architecture problem (and being gimped by having only two dimension of awareness, arguably two if you count "self attention" another limiting factor in it's depth of understanding, see my post history if you want). I wouldn't bet against us making it to agi however we define it through incremental improvements over the next decade or two.