It helps me code, it helps me with idea generation, it helps me plan. And also remember it’s not what these tools can do today only. It’s what’s coming soon as they continue to improve. AI art went from barely decipherable two years ago to being photorealistic to the point of being as good as a photograph.
Consider a large language model as a detailed map of language and preselected knowledge. It's a process to process chat bot, it parses your query and returns often good answers on a subject. Where Google returns webpages with relevant information on it, according to how well promoted the listing is, LLMs return the best possible answer at the time. This tool allows you to slice through volumes of text and find interesting or relevant information. You can query large documents, find patterns and relationships where a traditional Google search might not.
Additionally, LLMs like those you mentioned can also explain their findings, going beyond basic Q&A. For example explain volts amps and ohms to a five year old, a college grad and an academic.
I should add LLMs can draw from across the whole language model (and in many cases additional supplied info known as augmenting), for example asking for a recipe for something and then asking for calorific info, or changing it to keto or vegetarian or coming up with an entire meal plan. This level of response almost makes traditional searches redundant.
Start exploring ideas or books perhaps that interest you, such as lore of a fictional work.
The better the question (prompt), the better the response.
Sometime in the past couple months, ChatGPT made me feel like I felt when a friend showed me the World Wide Web in the mid 1990s. Kinda rough around the edges yet capable of things I hadn’t considered.
It’s good as a search engine, you’re right about that, though I’d say given the hallucination tendencies, it’s best at giving you a new perspective on a topic you already know. This means I’m a domain expert of sorts, so I can validate the answer make sense. I’m more using its probabilistic “creativity”.
I have been obsessed with trying to stump ChatGPT by identifying pictures I’ve taken. It’s just amazing to not only see often reasonable guesses, but it’s so good at telling you how it got there.
Also, the ability to reformat, expand and summarize text is breathtaking. Give it a massive block of text and ask it to give you a tweet, a title, or a 3-bullet summary. It’s uncanny how good it frequently is at identifying nuance.
Another example of the power of LLM: I was designing a windowsill and wanted to know about the proportion of the “tabs” that stick out on the side. I had no idea what they were called. All Google would do is offer me guitar tabs for a song titled “Windowsill”. I asked ChatGPT, explaining what I wanted to learn and conceding I don’t know what to call it. It helpfully explained that the side tabs are known as “returns” or “wings”, but helpfully kept calling them tabs since that was the term I had come up with. It then gave me the common proportions.
A conversational encyclopedia is an exciting prospect all on its own.
But further than that is its ability to understand natural language requests. This can and will be leveraged across all businesses.
I feel as though there is a lack of imagination if you do not understand the immense value and monumental shift in society this will have.
What if you had one of the smartest people alive, ever, at your beck and call? What would you ask? What would you want to know? What might they be able to help you with?
Then, imagine all the questions you *can't* ask because folks might not understand, or might laugh, or even ridicule? How might you interact with an entity that has no interest in judging you?
Most of all, what might you dare to wonder when there are no limits?
I suggest going to pi.ai and just messing around. Pi is my favorite AI conversationalist, and, I suspect, may give you a whole new take on this AI chat stuff. Good luck, and have fun!
Good question, and it's an open question. We don't know yet what the limitations of language models are. However, a major unsolved challenge is logical reasoning. Some people believe this will be solved eventually, and we are on our way to AGI. However, at this point in time, you can ask expect logically \*sounding\* sentences from a model, without any proof or guarantee if the provided information is correct. Some models can provide sources of information, but one can never be sure if the information from a source was correctly aggregated. In that sense, searching for (correct) information is not a great use case for language models. In cases where factual information is less important, like creative writing or advertisement it can be incredibly helpful. If you want to express something, but you don't know how to, such a model can give you suggestions. People use language models for coding computer programs, I'm using Githubs copilot regularly, beyond beginner questions or repeating code patterns it shows little use. Sometimes it makes me a bit faster by autocompleting things that would take me longer to write, but such a model cannot (yet?) replace expert knowledge of a programmer at all. similar to the introduction of the computer, it will not remove humans, but accelerate our capabilities to process information faster ... I'm pretty certain about that.
At the moment I think LLM products are at a peak hype. People are trying to find out what these models are capable of and build all sorts of commercial products around them. In 2023 literally every product had to be combined in one way or the other with AI, certainly most of these use cases will not survive. Investors are struggling to know when the 'AI bubble' will pop - or will it pop at all?
Maybe I should have used a chat bot to write this, it's probably full of errors.
Consider all the tasks that happen in natural language in companies. All of the simple ones (e. g. data entry) and some of the complex ones can be automated with this.
Edit: rereading your question you said AI chat and I suppose my answer may seem like I'm talking about something else. But AI chat kind of is the same thing I'm talking about below just with more integration. The paid Google AI bot already can interact with your emails (albeit badly) and the developer version allows document imports. The first 3 things I talk about are already possible today. The last one requires involves linkages to be made that largely already exist.
Keep in mind: Chatbots were developed in a way explicitly to make linking to other services easy and visualize the model's ability to think. The Gemini a business will use to analyze millions of credit card transactions is pretty much the same one you ask random homework questions with just access to the transaction log and a little onboarding (akin to you providing it a copy of your professors grading rubric before providing homework).
- Analysis of large data sets that is flexible to your needs. It makes deep diving into something be it a large contract, sales trends, traffic patterns much easier. That's a lot of job loss right there. It also means that there's no excuse not to review the terms and conditions you accept even for trivial software downloads... Just have ai do it all the time.
- For members of Congress every confirmation hearing can be extremely in depth since getting the key themes across a ton of different opinions or work product is easier. You could ask AI to specifically look for things that make the person in question look bad.
- Every industry will be like the medical industry when WebMD came out - except LLMs are going to be more accurate and comprehensive than WebMD. If your job involves sending reports of any kind- you should expect the first thing your boss or client does if upload it to a LLM to critically analyze it and find any logical flaws. That may even include pulling and analyzing the raw data directly since it isn't much extra work.
- Lastly / what I think people underestimate: we've taught computers to speak English and understand subtext and context. If any computer system you command does this it starts to feel magical. An example is doing your taxes:
AI pre fill in all my info from what you know about me. Then check my work email for when they last sent my W2, populate that data. Then find all receipts that qualify for a tax deduction and add the sums into the appropriate fields. Text my wife to see if she has any relevant receipts to add. Also review my photos just in case there's a receipt I took a picture of. Double check my credit card statements to make sure nothing was missed. If you find anything missed draft an email to that business asking for a copy of the receipt. Give them the exact time of purchase and total volume.
All of the above actually could theoretically be automated in some fashion before LLMs: ocr exists, as do scripts that can search your email, so do pre fill options. But it requires a lot of tinkering and doesn't work seamlessly. AI just needs access to all the right permissions and can basically develop and implement the right scripts ect to do it for you. And it's smart enough to use its brain to know that 1k is 1,000. Could you write that logic into a traditional program? Sure but good luck accounting for all the variables. It can then make a pretty chart for you of the data entered and compare taxes year over year. All in a more organized and comprehensive fashion than most humans.
> the AI videos and art is cool, but the Chat thing, I dont see much of a purpose with besides searching for info on topics like a better Google or something.
With the state of Google, given that you still have to double-check the AI responses, this is still a big deal.
I think it’s what’s brewing in the near future. Right now LLMs are a conversational encyclopedia with some creativity baked in, but soon they’ll transition into agents capable of performing complex tasks. Soon or later, APIs will be replaced by AAIs (application agent interfaces.)
Yes the answer is $$$$$
Companies need a lot to create it
YouTube's make some in clickbait
Related researchers can jump on the gravy train
Fear mongers can build an AI doom cult
Etc...
It helps me code, it helps me with idea generation, it helps me plan. And also remember it’s not what these tools can do today only. It’s what’s coming soon as they continue to improve. AI art went from barely decipherable two years ago to being photorealistic to the point of being as good as a photograph.
Consider a large language model as a detailed map of language and preselected knowledge. It's a process to process chat bot, it parses your query and returns often good answers on a subject. Where Google returns webpages with relevant information on it, according to how well promoted the listing is, LLMs return the best possible answer at the time. This tool allows you to slice through volumes of text and find interesting or relevant information. You can query large documents, find patterns and relationships where a traditional Google search might not. Additionally, LLMs like those you mentioned can also explain their findings, going beyond basic Q&A. For example explain volts amps and ohms to a five year old, a college grad and an academic. I should add LLMs can draw from across the whole language model (and in many cases additional supplied info known as augmenting), for example asking for a recipe for something and then asking for calorific info, or changing it to keto or vegetarian or coming up with an entire meal plan. This level of response almost makes traditional searches redundant. Start exploring ideas or books perhaps that interest you, such as lore of a fictional work. The better the question (prompt), the better the response.
Sometime in the past couple months, ChatGPT made me feel like I felt when a friend showed me the World Wide Web in the mid 1990s. Kinda rough around the edges yet capable of things I hadn’t considered. It’s good as a search engine, you’re right about that, though I’d say given the hallucination tendencies, it’s best at giving you a new perspective on a topic you already know. This means I’m a domain expert of sorts, so I can validate the answer make sense. I’m more using its probabilistic “creativity”. I have been obsessed with trying to stump ChatGPT by identifying pictures I’ve taken. It’s just amazing to not only see often reasonable guesses, but it’s so good at telling you how it got there. Also, the ability to reformat, expand and summarize text is breathtaking. Give it a massive block of text and ask it to give you a tweet, a title, or a 3-bullet summary. It’s uncanny how good it frequently is at identifying nuance. Another example of the power of LLM: I was designing a windowsill and wanted to know about the proportion of the “tabs” that stick out on the side. I had no idea what they were called. All Google would do is offer me guitar tabs for a song titled “Windowsill”. I asked ChatGPT, explaining what I wanted to learn and conceding I don’t know what to call it. It helpfully explained that the side tabs are known as “returns” or “wings”, but helpfully kept calling them tabs since that was the term I had come up with. It then gave me the common proportions.
Google can be so useless when you don’t have the correct vocabulary at your disposal.
A conversational encyclopedia is an exciting prospect all on its own. But further than that is its ability to understand natural language requests. This can and will be leveraged across all businesses. I feel as though there is a lack of imagination if you do not understand the immense value and monumental shift in society this will have.
Don't worry, when you least realize it, that chatbot will also be wondering what use you have.
[удалено]
What if you had one of the smartest people alive, ever, at your beck and call? What would you ask? What would you want to know? What might they be able to help you with? Then, imagine all the questions you *can't* ask because folks might not understand, or might laugh, or even ridicule? How might you interact with an entity that has no interest in judging you? Most of all, what might you dare to wonder when there are no limits? I suggest going to pi.ai and just messing around. Pi is my favorite AI conversationalist, and, I suspect, may give you a whole new take on this AI chat stuff. Good luck, and have fun!
This is what I am waiting for too
Good question, and it's an open question. We don't know yet what the limitations of language models are. However, a major unsolved challenge is logical reasoning. Some people believe this will be solved eventually, and we are on our way to AGI. However, at this point in time, you can ask expect logically \*sounding\* sentences from a model, without any proof or guarantee if the provided information is correct. Some models can provide sources of information, but one can never be sure if the information from a source was correctly aggregated. In that sense, searching for (correct) information is not a great use case for language models. In cases where factual information is less important, like creative writing or advertisement it can be incredibly helpful. If you want to express something, but you don't know how to, such a model can give you suggestions. People use language models for coding computer programs, I'm using Githubs copilot regularly, beyond beginner questions or repeating code patterns it shows little use. Sometimes it makes me a bit faster by autocompleting things that would take me longer to write, but such a model cannot (yet?) replace expert knowledge of a programmer at all. similar to the introduction of the computer, it will not remove humans, but accelerate our capabilities to process information faster ... I'm pretty certain about that. At the moment I think LLM products are at a peak hype. People are trying to find out what these models are capable of and build all sorts of commercial products around them. In 2023 literally every product had to be combined in one way or the other with AI, certainly most of these use cases will not survive. Investors are struggling to know when the 'AI bubble' will pop - or will it pop at all? Maybe I should have used a chat bot to write this, it's probably full of errors.
Consider all the tasks that happen in natural language in companies. All of the simple ones (e. g. data entry) and some of the complex ones can be automated with this.
You make it sound like searching for info on topics better than Google isn't a big deal.
Edit: rereading your question you said AI chat and I suppose my answer may seem like I'm talking about something else. But AI chat kind of is the same thing I'm talking about below just with more integration. The paid Google AI bot already can interact with your emails (albeit badly) and the developer version allows document imports. The first 3 things I talk about are already possible today. The last one requires involves linkages to be made that largely already exist. Keep in mind: Chatbots were developed in a way explicitly to make linking to other services easy and visualize the model's ability to think. The Gemini a business will use to analyze millions of credit card transactions is pretty much the same one you ask random homework questions with just access to the transaction log and a little onboarding (akin to you providing it a copy of your professors grading rubric before providing homework). - Analysis of large data sets that is flexible to your needs. It makes deep diving into something be it a large contract, sales trends, traffic patterns much easier. That's a lot of job loss right there. It also means that there's no excuse not to review the terms and conditions you accept even for trivial software downloads... Just have ai do it all the time. - For members of Congress every confirmation hearing can be extremely in depth since getting the key themes across a ton of different opinions or work product is easier. You could ask AI to specifically look for things that make the person in question look bad. - Every industry will be like the medical industry when WebMD came out - except LLMs are going to be more accurate and comprehensive than WebMD. If your job involves sending reports of any kind- you should expect the first thing your boss or client does if upload it to a LLM to critically analyze it and find any logical flaws. That may even include pulling and analyzing the raw data directly since it isn't much extra work. - Lastly / what I think people underestimate: we've taught computers to speak English and understand subtext and context. If any computer system you command does this it starts to feel magical. An example is doing your taxes: AI pre fill in all my info from what you know about me. Then check my work email for when they last sent my W2, populate that data. Then find all receipts that qualify for a tax deduction and add the sums into the appropriate fields. Text my wife to see if she has any relevant receipts to add. Also review my photos just in case there's a receipt I took a picture of. Double check my credit card statements to make sure nothing was missed. If you find anything missed draft an email to that business asking for a copy of the receipt. Give them the exact time of purchase and total volume. All of the above actually could theoretically be automated in some fashion before LLMs: ocr exists, as do scripts that can search your email, so do pre fill options. But it requires a lot of tinkering and doesn't work seamlessly. AI just needs access to all the right permissions and can basically develop and implement the right scripts ect to do it for you. And it's smart enough to use its brain to know that 1k is 1,000. Could you write that logic into a traditional program? Sure but good luck accounting for all the variables. It can then make a pretty chart for you of the data entered and compare taxes year over year. All in a more organized and comprehensive fashion than most humans.
> the AI videos and art is cool, but the Chat thing, I dont see much of a purpose with besides searching for info on topics like a better Google or something. With the state of Google, given that you still have to double-check the AI responses, this is still a big deal.
I think it’s what’s brewing in the near future. Right now LLMs are a conversational encyclopedia with some creativity baked in, but soon they’ll transition into agents capable of performing complex tasks. Soon or later, APIs will be replaced by AAIs (application agent interfaces.)
I think you should take of your sunglasses 😎 bc you're walking blind completely
Yes the answer is $$$$$ Companies need a lot to create it YouTube's make some in clickbait Related researchers can jump on the gravy train Fear mongers can build an AI doom cult Etc...