For these biggest part these are all problems of lack of funding and medical neglecting. Our problems are far more fundamental than the tasks AI handles.
I've already found GPT4 more useful than 100% of the physicians I've seen over the years.
I can ask it about microglial activation and medications or herbs that might affect that. I can ask it about pathways, BDNF production, neuroprotective herbs. Anyone try doing that with their physician?
Yes, it's not right 100% of the time, but it's a fantastic sounding board or jumping off point for research. People who entirely write off an AI that gives accurate answers 90% of the time on certain things seem weirdly dismissive. Two years ago Siri had trouble checking the weather, yet now people want to roll their eyes and call it a parrot when it can give a long cogent hypothesis for the roles of BDNF and TrkB in ME/CFS brain fog.
Until human doctors improve in their next firmware updatee, AI seems like a more useful tool. After 25 years of seeing doctors and having them either 1) do nothing more than I was already doing or 2) do significant damage, maybe I'll give AI a chance.
That could be correct. But then again will AIs ever possess enough stochasticity to make sufficiently large jumps to discover something like penicillin, whilst at the same time remaining efficient? Going down the wrong path is not always a bad idea. Some of our biggest medical discoveries have been due to sheer dumb luck, rather than the analysis of tremendous amounts of data.Here's another question: who is more likely to impede the solution of ME: AIs or humans? This might involve leading down a wrong pathway, or wasting limited funding, or discouraging research somehow. I think AIs can go down a wrong pathway, but it takes a real human to really screw things up.
But then again will AIs ever possess enough stochasticity to make sufficiently large jumps to discover something like penicillin, whilst at the same time remaining efficient? Going down the wrong path is not always a bad idea. Some of our biggest medical discoveries have been due to sheer dumb luck, rather than the analysis of tremendous amounts of data.
But then again will AIs ever possess enough stochasticity to make sufficiently large jumps to discover something like penicillin, whilst at the same time remaining efficient?
ChatGPT is trained on Pubmed and and the other paper sites but it isn't doing a good job of referencing and putting the facts together due to its design.
No, and I also want to BEG people to stop doing research by using ai chatbots. They are language models, not fact models. They are purpose designed to create plausible sentences in response to questions, not true ones.
The other day I saw someone citing a researcher who doesn't even exist, and talking about results of a study that are fictional. It is extremely worrying.
Use wikipedia and pubmed instead,.
Brain fog after mental exertion, sometimes referred to as cognitive fatigue, could be due to various factors. Here are a few hypotheses:
Each of these hypotheses could explain brain fog after mental exertion, and it's likely that multiple factors contribute in any given individual. Furthermore, these mechanisms could interact with each other. For example, neurotransmitter depletion could lead to altered blood flow, or activation of the HPA axis could affect energy metabolism. Further research is needed to fully understand these complex interactions.
- Neurotransmitter Depletion: Mental exertion requires the release of neurotransmitters like dopamine, norepinephrine, and glutamate. During prolonged mental tasks, these neurotransmitters could become depleted, leading to a decrease in cognitive performance and a sense of mental fog.
- Glial Cell Activation: Glial cells, including astrocytes and microglia, have been proposed to play a role in mental fatigue. When neurons are highly active, they produce waste products like adenosine, which can activate glial cells. Activated glial cells produce inflammatory cytokines, which can cause a sense of fatigue or mental fog.
- Energy Metabolism: The brain is a highly energy-demanding organ, and cognitive tasks increase energy demand further. Prolonged mental exertion could temporarily deplete brain energy reserves, causing a sense of mental fog.
- HPA Axis and Cortisol: The Hypothalamic-Pituitary-Adrenal (HPA) axis responds to stress, including mental stress. Chronic or intense mental exertion can lead to sustained activation of the HPA axis and elevated cortisol levels. Cortisol affects many brain functions, including memory and attention, and chronically high levels can impair cognitive function and contribute to a sense of mental fog.
- Altered Blood Flow: During periods of mental exertion, blood flow in the brain changes to meet the increased demand for oxygen and nutrients. If the blood flow isn't adequately increased or if it's not directed to the right areas, this could lead to cognitive fatigue or brain fog.
Eventually, probably. How long that will take is hard to figure out.But then again will AIs ever possess enough stochasticity to make sufficiently large jumps to discover something like penicillin, whilst at the same time remaining efficient?
I’m not sure, some of our significant findings are pure luck or very big jumps. According to what I know that doesn’t fit the framework of for example reinforcement learning. All these algorithms are still not elegant or "intelligent" (whatever that may mean) and rather brute computing force, whether that changes in the future, we'll have to wait and see.Eventually, probably. How long that will take is hard to figure out.
The counter to that question is: what new capabilities will AIs have that will lead to discoveries that humans are unlikely to find? AIs can have superhuman capabilities with number-crunching, data analysis, resistance to boredom, etc. In mathematics, AIs could be able to solve multidimensional geometry and topology that the human brain simply isn't capable of. We can't rotate a 6-dimensional object in our brains, but AIs could. There might be similar new capabilities for AIs researching medicine.
I'd like to add that these new developments in AI are ruining science fiction. I think back to SF stories I've read, and I now think: "Why do they still have humans doing <whatever>?" and "Why is society not changed by AIs doing <whatever>?"
Oooh, now that's a good subject for SF authors to tackle: AIs discovering awesome new ideas that only apply to AIs. Maybe AIs could apply quantum communication to 'view' very distant places, such as planets elsewhere in the galaxy, or link to creatures' brains there. Maybe AIs could link themselves into multidimensional communal minds that far surpass anything humans could imagine.research that only AI can understand is never the goal in any case.