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p4coder

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Google I/O 2 months ago

At the moment, I end up using AI mode only because the ads are not as prominent as the normal search.

Goodbye to Sora 4 months ago

I also like doing that for topics that I am tangentially interested in. One minor thing that I find annoying is that the narrators switch roles in the middle of conversation. They start with the female voice explaining a concept to the male voice and suddenly they switch. In the meantime I have identified myself with the voice being explained to.

Yes, it is the unfortunate reality of the US. You either fork over all your data to tax preparation companies on the web or pay them to use windows/MacOS software. There is still paper filing by doing taxes by hand, but that's a bit too inconvenient. Free online filing is restricted to $89k annual income.

Today physical world is largely mechanized, we rarely walk, run lift heavy things for survival. So we grow fat and weak unless we exercise. Tomorrow vast majority of us will never think, create, investigate for earning a living. So we will get dumb and dumber over time. A small minority of us will keep polishing their intellect but will never be smarter than machines just like the best athletes of today can't outrun machines.

The future of AI might be layering of various capabilities: Generative+Lookup+Deductive. I think the human mind works in a similar way. First thought is reflected upon. We search our memory to get relevant information and often apply logic to see if it makes sense. I feel the generative AI just produces a thought. We need to pass that through a system that can augment it with search and then reason about it. Finally need to close the loop and update the weights.

One justification for dowry that people asking dowry used to give was till 2005, the hindu inheritance law did not have a claim for daughters. So dowry was a way to get that inheritance in advance.

After seeing ChatGPT and others hallucinate and make mistakes I was wondering if self-driving AI is inherently susceptible to similar behavior. Like hallucinating objects on the road and ignoring signs etc. If we can not fully understand these types of behavior for LLMs at a fundamental level, is the self-driving AI any different.

Of course, it may be that the LLM architecture makes them susceptible for this, but not self-driving AI. But the question still remains, do we understand enough about it to trust human lives to the AI?

TCP checksum is simples one's complement checksum. So if two bits are flipped in the same position in two different 16 bit word, they cancel each other out. If you look at all the diffs posted, they differ in even number of lines.