As soon as the singularity hits we are done. Humans 90% of the time terrorize & kill each other. We mame animal life & try our best to ruin nature. I’m all about AI but it will realize within a few seconds that we need to go. It’s hard to argue. The next evolution for “life” on earth is AI & it will span the universe. I’m envious.

GPT-4 IS ALREADY DONE

We have AI that is already superior to the average human in some areas now. AI may be still worse than human in some other areas, but that can be fixed with just enough training in that field.

That includes "original research". I'm pretty sure that AI can be trained to do it too. It already can write "research papers". Of cause, it lacks substance and originality, but it has to invent it completely "from head", without extra data to expand theory on, etc.

Human: Abstract

We explore how AI can do completely original research

AI: The ability to do completely original research is a skill that AI has been built to possess. AI systems are increasingly being used to analyse vast amounts of data and find patterns or trends in it, making it possible to uncover new insights or solutions to problems. AI also has the ability to autonomously generate complex models in order to better understand a given area. For example, machine learning algorithms can be used to create predictive models to help uncover new knowledge about a given subject matter. Moreover, AI can be used to identify anomalies in data sets, providing brand new avenues of research. All of these capabilities make AI an invaluable tool for conducting original research and discovering new information.

Human:

AI: While AI can be used to do original research, humans are still needed to interpret the results and assess its validity. AI is often limited in its ability to provide nuanced or contextual analysis of a data set, making it necessary for humans to step in and consider additional factors. Additionally, humans are essential for deciding which questions to ask and which paths to take when conducting research. Humans also provide perspective and creativity to the process, offering innovative solutions that wouldn’t have been possible using AI alone. Ultimately, AI and humans need to work together in order to produce the best results from any original research project.

Human: Suggest how those human tasks can be also eventually replaced by AIs

AI: In the future, AI will become increasingly capable of replicating human tasks such as identifying patterns in data and creating predictive models. As AI systems become more sophisticated, they could eventually be used to generate research questions and test hypotheses. Furthermore, AI could be used to understand the context of a given research project, allowing it to make decisions on the best approaches to take. Additionally, AI could eventually learn to identify potential biases in research data sets and suggest alternatives to ensure the results are accurate and valid. Ultimately, AI could become a powerful tool for human researchers, providing them with greater support for conducting original research.

Edit: another similar prompt:

Write an original research about which Human AI Researchers can be replaced with AIs

AI: Artificial Intelligence

A growing area of research seeks to determine which human AI researchers can be replaced with AIs. This research involves analyzing the current landscape of AI research and how it relates to humans, identifying areas where AI could help or supplant humans, and considering the implications of substituting AI for human AI researchers.

One of the most promising areas of research in this area is the use of AI to automate various tasks related to AI research. For example, AI-driven automation can enable AI researchers to quickly identify and source data sets, develop complex algorithms, and generate models faster and more accurately than humans. This can free up significant amounts of time and energy, allowing AI researchers to focus on other areas. By utilizing AI-driven automation

Human:

AI:

in the research process, AI researchers can become more efficient and accurate in their work.

An additional area of research in this space is using AI to analyze and interrogate large data sets. By analyzing data sets and correlating patterns, AI can help to identify trends and patterns that could be missed by human analysis. This can be used to improve models and can help identify areas where further research or experimentation is required. In doing so, AI can help to reduce the time and effort required to make progress in AI research.

Finally, AI can also help to generate reports and presentations that may be too complex for humans to create. Such AI-generated reports can aid in the dissemination of research findings, allowing for broader dissemination of AI

Human:

AI:

research and providing a platform for researchers to present their work to a wider audience.

Overall, it is clear that AI has the potential to replace some of the tasks currently carried out by human AI researchers. However, it is also important to consider the implications of relying too heavily on AI in the AI research process, as well as the ethical considerations of allowing AI to take on a more influential role in AI research. It remains to be seen how AI will ultimately influence the field of AI research and which human tasks will be most suited for AI automation.

Probably true, but you may occasionally want to talk to other actual humans?

Maybe not, but sites like reddit have always been partially about being part of a larger community.

It's a bad example. The purchase of diamonds has always been a form of status symbol, making the decisions about it very different to those involved in purchasing common goods. Luxury goods centred around human labour will become more normal in the AI era as that is how people will come to express status - they can afford to have a real human do something.

That doesn't stop the tech being a massive disruptor.

This is a bad example but also a good illustrator - the decisions behind the price of diamonds is an indicator of how at least part of the economy will play out.

When you watch a Pixar movie you're watching a product of people typing something into a machine. Software did much of the rest.

You'd have trouble convincing people that Pixar movies aren't "art" because software made those textures and objects rather than a human with a brush.

A monkey using a typewriter could eventually recreate the complete works of Shakespeare just by pressing random keys if you let him go for long enough.

Even if you devise a machine that could reprogram itself with some additional functionality, however minute, and then run a diagnostic to determine if there was some increase in capability and repeat that process forever until the intelligence parameter is maximized, it might take millions of years and a shit ton of computing resources to get anywhere meaningful with todays AI technology. For that approach to work we would need to first meet a certain threshold of general intelligence to make meaningful enough self-improvements to lead anywhere interesting in a timely manner.

Weighted average so far, with 312 votes, is 6.78 years. I did the same poll on the machine learning sub and the weighted average there wa 8.19 years with 487 votes, but the post was removed by the mods.

Both measures consider "Never!" as 20 years. I am too mathematically illiterate to come up with a better fix.

>It can solve Advent of Code problems...

Which is a collection of relatively simple problems, commonly solved by first year students, where the solutions are almost certainly in the training data set....

The singularity isn’t about expansion of intelligence; for me, it’s about expansion of mind. Also understanding and thinking about what is possible to do and become in the universe doesn’t invalidate or cheapen our current experience or our past experiences, and I disagree with the idea that interest in the technological singularity correlates with dissatisfaction with current life.

It is clear that meaningfulness is a possible state of mind to obtain and I don’t see why that would change. I also disagree with the widespread misconception that with more intelligence comes a greater réalisation of the meaninglessness of life. I don’t think intelligence has anything to do with feelings of meaning.

The natural human brain is an evolutionary product, it’s not designed to experience that much beauty. We want life to be beautiful, evolution only wants it to be adequate. That’s why we want transhumanism—to enhance the beauty of life that we already experience. Because nature doesn’t give us enough

A software developer needs to understand the functional designs, technical designs, architecture, and test plans that are relevant. Being able to produce functions is not enough. In a machine learning context knowledge of the concept and mathematics are required. ChatGPT is a level higher than a Markov chain. It has a sense of which words and groups of words go together. But for it words are just lists of numbers. So in fact it evaluates nested functions with vectors as input. For a much smaller network, you can do the same thing in excel.

>it will only be reruns, reboots, and mashups from then on.

This is mostly what the entertainment industry already is.

Even if it could code better than humans (like AlphaCode, that outperforms most humans in coding competitions), that's not the hard part.

The hard part is the science/engineering aspect of machine learning, programming is just the implementation of the ideas when they are already thought out. Actually coming up with useful improvements is significantly harder and requires a thorough grasp of the mathematical underpinnings of ML. ChatGPT is nowhere near capable of making useful contributions to the machine learning research community (or in other words, capable of writing a ML paper), and therefore it is incapable of improving its own software. AI most likely will reach that level at some point however, possibly in the near future.

I expect a lot of people to deny it when it's here TBH.

You are overestimating the abilities of mediocre IT students

This is bad

Every generation is consuming "an incredible amount of resources" compared to the previous one, and that is a good thing. We have not even scratched the surface of the available matter and energy in the reachable Universe.

Ten plus. Indie fan movies made for less than a thousand dollars maybe by the end of century. But I doubt we will get there with the current technology. You need better algorithms, software, datasets, and hardware. Maybe even quantum computers.

in a general sense, transhumanism and the progress that agi would bring with it would probably mean a vast improvement in material conditions. poor material conditions are at the core of almost all human suffering. more specifically, transhumanism has what appears to be limitless possibilities. we don't even know where the ceiling is, so we have no idea where it might take us. personally, i enjoy novel experiences, and increasing novelty is almost always a positive outcome. if you want to stagnate, get sick, grow old, die, etc, that's entirely your choice. not everyone wants that for themselves. OP, read some fucking sci-fi.

Why do you care most people's opinion? They are not solid and usually wrong.

Even in this sub, in 2020, there are above half of posts are not about AI, and above half of users are pessimistic about AI future.

Yup, exactly. Whilst ChatGPTs ability to code is impressive it’s definitely not the “do everything” button some people think it is.

i don't know about this phenaki thing but imagen video of Google is way way better.

Modernism in the philosophical sense has shown to be not accurate.

We, as humans, are neither the owners of our own developments nor our own decisions.

Transhumanism, in my eyes, is a movement to leave these beliefs behind.

godlessness!

(lack of spirituality)