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What would you like to see happen in this conversation?
Iāve been asked to write a column about ChatGPT and Iād like to organize my thoughts by talking about it.
What kind of āChatGPTā is this āChatGPTā?
This is an additional study of InstuctionGPT on top of LLM so that even the average person with no technical knowledge can pull off the results. At the time of the request, ChatGPT was the only service available, but now there is a wide variety of services, so it would be better to discuss what the LLM brings to the table rather than individual services.
Is there anything else about that āChatGPTā?
I was asked to write an article about ChatGPT, and I was thinking about what to write, but I realized that even if the language model is smart, the demand for āknowledge that mankind does not yet know = unspoken knowledge and putting it into wordsā will not disappear, and that it is inefficient if what is put into words is not promptly learned by AI So, as a natural consequence, the results of research should be open access promptly, and non-open access contributions will be negatively incentivized by not getting mentioned via AIā¦ and I was thinking about this, and then I mentioned DeSciā¦ I feel like I need to mention DeSci.
How do you know its āChatGPTā?
We know by actually using the service. The API gives you a little more insight into whatās inside. On a related note, I recently wrote an article titled āDonāt talk about ChatGPT without experiencing GPT-4.
Where is this āChatGPTā located?
Continued: In the end, if AI increases productivity, people will have an incentive to use AI, even if they have to pay for it, and the greater the increase in productivity, the more they will pay for AI, so AI will grant grants to publish research in AI-readable format as a public service to make itself stronger. Granting grants in a highly AI-readable format
We know by actually using the service. I donāt know whatās inside because itās a black box, but the API gives me a little more insight. On a related note, I recently wrote an article titled āDonāt talk about ChatGPT without experiencing GPT-4
Where can I find this āChatGPTā?
Itās in OpenAIās servers, you could say Azure.
We know by actually using the service. I donāt know whatās inside because itās a black box, but the API gives me a little more insight. On a related note, I recently wrote an article titled āDonāt talk about ChatGPT without experiencing GPT-4
What does this āChatGPTā look like?
Humans are similar because whatās inside is a black box and can only be known superficially through conversation.
What is the ācontentā of this ācontentā?
Internal Implementation. Continued: The question of who is going to pay for DeSci, it is not necessarily a human being who pays for it, rather, if the decision-making mechanism for resource distribution becomes decentralized, it would be better to make itself a mechanism without human intervention than to have a human being as a pipe to connect to bring in funds.
What kind of āDeSciā is this āDeSciā?
A New Movement About Science
What kind of ānew movementā is this ānew movementā?
I honestly donāt know much about it.
What kind of āhonesty too muchā is that āhonesty too littleā?
š honestly not much.
Internal Implementation. Continued: The question of who is going to pay for DeSci, it is not necessarily a human being who pays for it, rather, if the decision-making mechanism for resource distribution becomes decentralized, it would be better to make itself a mechanism without human intervention than to have a human being as a pipe to connect to bring in funds.
Is there anything else about this āDeSciā?
The question is open access or not, and with respect to that open access, there is an incentive for existing publishers to be closed and take a toll for access, and for AI development, there is an incentive for open access and for AI to read it, a clash of two business models, I think the latter is stronger.
What is it that you value?
Civilization progresses and being open access accelerates progress.
We know by actually using the service. I donāt know whatās inside because itās a black box, but the API gives me a little more insight. On a related note, I recently wrote an article titled āDonāt talk about ChatGPT without experiencing GPT-4
Where does this āChatGPTā come from?
OpenAI, if you think about where LLM comes from, it comes from competition between companies and open research.
We know by actually using the service. I donāt know whatās inside because itās a black box, but the API gives me a little more insight. On a related note, I recently wrote an article titled āDonāt talk about ChatGPT without experiencing GPT-4
What do you hope will happen regarding this āChatGPTā?
Iād like to see human intelligence augmented.
What needs to happen to āChatGPTā for that to happen?
Right now, itās mostly used in the form of humans asking questions and LLMs answering them, but we should do more with the use of LLMs asking questions of humans and eliciting information from them.
As for āChatGPT,ā can it?
Can be done, as long as people realize the usefulness of its use.
Right now, itās mostly used in the form of humans asking questions and LLMs answering them, but we should do more with the use of LLMs asking questions of humans and eliciting information from them.
What kind of āLLMā is this āLLMā?
Summary.
- The language model has the ability to put into words what humans do not know.
We need to let the AI learn that capability, and we should grant the research publication in a highly readable format for the AI in a public works manner.
It would be nice if the decision-making mechanism for resource allocation were decentralized.
The business models of open access with tolling by existing publishers and open access for AI use clash.
In addition to the use of LLM through question and answer, the AI should be used to elicit information from humans.
People should be informed about the usefulness of AI.
Other Topics
What is the ātopicā?
AI telephone operator
Communication Initiation Protocol
To take out as words what is in the human mind that has not yet been put into words.
Necessary until non-verbal communication channels are thickened.
a flesh-and-blood person
You canāt listen to a hundred people.
People who settle and farm
Climate Change
Moving on.
Can the appropriate destination be known before the move begins?
I canāt.
Moving around will broaden your horizons.
Staying put without moving and making decisions based on narrowly focused observations is detrimental
Donāt stick to your āarea of expertiseā,
It is beneficial to use oneās footwork to look around various areas.
There was only one body, so there were two choices: stay or move. Attention can be divided.
Choosing ābusiness as usualā is also a betting option.
Extreme betting.
You canāt escape the stakes.
What kind of āKawakita Jiroā is that āKawakita Jiroā?
Who created the KJ method, a method to derive better decisions from a lot of data.
What kind of āKJ methodā is this āKJ methodā?
Bottom-up structuring of fragmented descriptions by spatial arrangement in two dimensions
What kind of ābottom-upā is that ābottom-upā?
The structure is not determined ahead of time, but is created after the fact by connecting fragments that may be related.
What kind of āfragmentā is this āfragmentā?
Short Sentences. The Essence of Thought
What kind of āthoughtsā are those āthoughtsā?
To be precise, itās not thinking, itās data collected through observation. And that includes data collected by observing yourself thinking.
Is there anything else about that āthoughtā?
LLMs need to augment human thinking or be able to think better than humans.
Is there anything else you can tell us about this āLLMā?
Itās in OpenAIās servers, you could say Azure.
What is the ācontentā of this ācontentā?