5 ms·
The problem with the curre t "AI" technology is it is only approximately correct (or rather, it is somewhat likely to produce a "good" result). This gives great
by choeger 6y ago
The problem with the curre t "AI" technology is it is only approximately correct (or rather, it is somewhat likely to produce a "good" result). This gives great use-cases when it comes to human perception, as we can filter out or correct small mistakes and reject big ones. But when used as input to a machine, even the smallest mistake can have huge consequences. Admittedly, this nonlinearity also applies when human beings "talk" to machines, but the input to and output of a single human being will always be constrained, whereas a machine could output billions of programs per day. I don't think it would be wise to follow that route before we have computational models that can cope with the many small and few big mistakes an "AI" would make.
- Hydraulix989 6y agoDevil's Advocate: What makes this any different than human error?
- Judgmentality 6y agoLack of human oversight. Think of how frustrating it is to be unable to talk to a human at Facebook or Google because their AI closed your account without explanation. Now imagine this is how everything works.
- ithkuil 6y agoIt depends on the human, it depends on the process; I guess it will depend on the quality of AI in the future. I consistently have terrible experiences with by human operators over the phone, e.g. phone company and similar (in my case italy, but I guess it's a general problem). They routinely cannot address my issues and just say they are sorry but they cannot do anything about it, or that this time it will work. Human operators are a solution only if they are not themselves slaves to an internal rigid automated system
- Moru 6y agoThis is why I try to stay with small companies. You can always get a real human on the phone and more often than not, the person understands the system they are working in and can fix problems themselves. Our last ISP was wonderful to call, you got direct answer and it was a real tech that answered, not a callcenter reading from a script.
- vlovich123 6y agoLack of human oversight is one as mentioned below. Speed is another one. Whatever error a human can cause, a machine can do as much or more damage many orders of magnitude faster and larger and be difficult to correct.
- Joeri 6y agoGPT-3 strikes me as the human fast thinking process, without the slow thinking process to validate and correct its answers. It is half a brain, but an impressive half at that.
- visarga 6y agoIt's like a human with no senses - sight, hearing, touch, smell or taste, also paralyzed, short term amnesic and alone, but able to gobble tons of random internet text. After training it can meet people but can't learn from those experiences anymore, the network is frozen when it meets the real world.