Sounds good to me! Some potential items:

1. Grand rounds with education/specialists.
2. Legal/political discussion.
3. Physician well-being.
4. Leadership tips.
5. Financial advice.

We could do biweekly? Is that too much?

IPA

Not even. Solar is super profitable.

Holy shit

Oh shit

What does it say?

Outdadded her dad. Iconic.

I don’t think so. Think about the training process. All the nodes in those neural networks were trained on sets of data together. While certain sets of nodes may be more heavily responsible for the word, “pineapple”, for example, those subsets cannot function outside the context of the whole network.

Now, what if you had an LLM that hallucinates, and you trained a second neural network whose only job was to fact-check the output of the first neural network? Those are 2 neural networks trained on separate data, for separate purposes that work in tandem to provide accurate responses.

Oh, sorry. Voyager had saved a reply I was working on, but I didn’t realize it responded to the wrong article.

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You jest, but only parts of the brain are responsible for decoding auditory signals. It doesn’t require weighted input from the whole brain to process these signals. In theory, one could surgically remove Brocha’s and Werniche’s areas, and they would function completely independent of the rest of the brain.

My understanding is that you cannot identify a region of chatgpt that identifies plant leaves and separate it from the rest of the neural network without destroying its function. In this sense, the entire set of billions of weights is required for each function that chatgpt does.

The brain has many separate components that function independent of each other, each of which is a fully functional neural network, all working in tandem.

Exactly. I would argue that brains are multiple neural networks working together in concert, however.

I find this very difficult to believe since we have fairly substantiative evidence that neural networks can achieve general intelligence.

If you want your credit score to crater

How would the couple, who had no health insurance, pay for their daughter’s care if the administration and Congress gutted Medicaid?

🤣🤣🤣

Perspective

That’s got to feel weird as fuck

I think it is inevitable. The main flaw I see from a lay perspective in current methodology is trying to make one neural network that does everything. Our own brains are composed of multiple neural networks with different jobs interacting with each other, so I assume that AGI will require this approach.

For example: we are currently struggling with LLM hallucinations. What could reduce this? A separate fact-checking neural network.

Please keep in mind that my opinion is almost worthless, but you asked.

Lolololololol