1) Given an infinite series of nonlinearities, one can model any mathematical function to an arbitrary degree of precision. This has been proven and is accepted by any working mathematician.
2) The human brain / intelligence can be simulated by a sufficiently complex mathematical function. It is somewhat accepted that simulating the human brain is sufficient for intelligence. Disagreements usually boil down to: It won't have a soul, you can't simulate biological / quantum processes on digital computers, or something abut Qualia I don't really understand,
3) How big / complex is the function that we need to get to AGI / simulate human or above intelligence? TBD, it seems like experts disagree but many working in the field have been surprised by the capabilities that GPT has and we are likely closer to AGI than anyone thought 2 years ago.
You should be reaching out to ALL of your former coworkers as your first priority since it seems like you left on good terms with them. Way more likely to get you a job asap than updating twitter/linkedin/github.
If anyone asks I wouldn't go into all this detail and just tell them you were unexpectedly let go.
P.S. I made my first comment on HN because it is fucking criminal no one has emphasized this yet.
1) Given an infinite series of nonlinearities, one can model any mathematical function to an arbitrary degree of precision. This has been proven and is accepted by any working mathematician.
2) The human brain / intelligence can be simulated by a sufficiently complex mathematical function. It is somewhat accepted that simulating the human brain is sufficient for intelligence. Disagreements usually boil down to: It won't have a soul, you can't simulate biological / quantum processes on digital computers, or something abut Qualia I don't really understand,
3) How big / complex is the function that we need to get to AGI / simulate human or above intelligence? TBD, it seems like experts disagree but many working in the field have been surprised by the capabilities that GPT has and we are likely closer to AGI than anyone thought 2 years ago.