Thank you to Ultracrepidarian for accepting this exciting challenge! Thank you to Savant for hosting this tournament on his wonderfully developed website! I would like to Affirm the resolution.
Resolved: AGI (Artificial General Intelligence), if created, will be beneficial for humanity long term.
“I must not fear. Fear is the mind-killer. Fear is the little-death that brings total obliteration. I will face my fear. I will permit it to pass over me and through me. And when it has gone past I will turn the inner eye to see its path. Where the fear has gone there will be nothing. Only I will remain.” - Frank Herbert’s Litany against fear, from Dune.
I have two major contentions to support my theory. I am predicting I will need space and characters to respond to my opponents arguments, so two opening contentions seems like a good place to start.
Contention 1: We already have proof that AGI could create MORE jobs, not less.
“They took our jobs!”

One of the major fears going into the future and opening up with technology, is that humans tend to worry a bit about being replaced. While this is a reasonable fear, I can assure you that the robots aren’t going to replace us. How can I assure this? Why, we already have outstanding proof that these things will require MUCH needed human time, attention, and care. In fact with AGI services like ChatGPT already becoming widely popular, we already have multitudes of jobs that are available to people, even at entry level opportunities. Yes, yes, not only am I providing you with an adequate debate argument folks, if you need a bit of cash on the side, I am literally going to be throwing some tried and true options to MAKE SOME MONEY all while working from home, thanks to AGI.
As much as it is exciting to fantasize in horror movies that AI can take on a mind of its own, it really isn’t possible. In fact you may think a creative response chatGPT gave you was intelligent enough, that it couldn’t have possibly been a non thinking robot that created that response right? Wrong. Michael Reeves explains that every time you send a new message to one of these AI services, you are really just sending your entire previous message thread to an LLM (Large Language Model) (1). That’s right, you yourself are giving the “Machine” context on how to interact with you. While your conversations are being saved in a database elsewhere, the actual chatgpt isn’t remembering it. Which means you can actually gaslight these services by editing your own responses to them! In a recent video he posts, Michael shows just how he made one of these ChatGPT services completely bug out simply by editing his own responses to his query, which more or less proves that these things cannot function without human training, or human input (2).
Now that you have context about why AGI needs human training and attentions, you can see what these sites are trying to accomplish. The first site is slowly becoming widely popular, and its called “DataAnnotation.tech”(3). This one is easily one of the more popular jobs that taking over in the Data training industry, because literally anyone can apply. They will give you a brief test taking on average, about 30 minutes to an hour to complete, and once you have completed the test, they will get back to you if you are qualified to join the team. Then they start sending you tasks to complete, that involve training their different AI programs to understand context. Because ultimately that is something AGI cannot do, is understand context completely. A lot of tasks help these chat bots sound smarter, more human, and give better answers to people looking for questions. Imagine that, if an AI’s intelligence is seeming to increase, it’s only because of the help of our fellow humans. Mike and Heather both do Datannotation from home, and have posted their own video on what it’s like working for this company part time, and explain they also do things like “describing videos” to teach these modules “How to see”. (4)
The next major job company worth talking about is Telus Digital. Telus digital is similar to Data Anotation Tech, but speaking from personal experience, this is one I have done myself. While they have multiple AI training jobs, there more open general one is teaching SEO (Search Engine Optimization) to be more efficient. Basically they give you tasks where you have to rate google searches and match them to their results, to make sure people are actually getting the appropriate results when searching for things they want. They have an entire guideline built out that you follow to make sure that search engines like google and bing for example are giving people the appropriate results by judging the search query on the context only a human can judge by. For example, if someone searches a restaurant name, that happens to be the name of a popular European beach, how does the AI know what result to generate? These advanced tools provided to google by companies like Telus, and trained by users like you tell it exactly what to look for, by looking at the location of the IP of the user, or determining the context of the search to figure out whether the person is actually hungry or just looking for a cool place to travel.
There are many of these AI training jobs that you can find right now and work from right from home, that require sitting at a computer desk for a few hours a day and pay competitively from 18$-25$ an hour entry level. While the two above are my favorite examples, here are a few others you can look into if you are interested: Outlier.ai, invisible.co, Maestro.org, joinandshake.com, rws.com, crowdgen.com (by appen). There are many many more I could add to this list.
Contention 2: AGI could help human growth potential surpass expectations, as long as it is properly guided.
While human technology is constantly trying new ways to benefit society, by working on cures for diseases, or finding solutions to problems we as humans have daily, AGI can help us quickly and accurately find solutions. Think of how much pain caused by death and disease could be avoided, if a hypothetical AGI system aided by humans was able to help find that solution! Many of these solutions could be right in front of our eyes, that we haven’t noticed yet, but an advanced technology guided to think about advanced options may be able to identify some of these, and we just simply can never know until we take that next step!
While AGI doesn’t actually exist now, we cannot ultimately fathom what exactly it will look like in its entirety. A paper developed by a google/deepmind team talks about the importance of judging AGI based on its capabilities instead of on its processes.
The Turing Test:
“Turing’s “imitation game” attempts to operationalize the question of whether machines can think, and asks a human to interactively distinguish whether text is produced by another human or by a machine. The test as originally framed is a thought experiment, and is the subject of many critiques. In practice, the test often highlights the ease of fooling people, rather than the “intelligence” of the machine. Given that modern LLMs pass some framings of the Turing Test, it seems clear that this criteria is insufficient for operationalizing or benchmarking AGI. We agree with Turing that whether a machine can think, while an interesting philosophical and scientific question, seems orthogonal to the question of what the machine can do; the latter is much more straightforward to measure and more important for evaluating impacts. Therefore we propose that AGI should be defined in terms of capabilities rather than processes”. (6)
The case study concludes that if AGI is guided by humans, we can achieve such successes and avoid many of the common fears associated.
“.Notably, we observed that AGI is not necessarily synonymous with autonomy. We introduced Levels of Autonomy that are unlocked, but not determined by, progression through the Levels of AGI. We illustrated how considering AGI Level jointly with Autonomy Level can provide more nuanced insights into risks associated with AI systems, underscoring the importance of investing in human-AI interaction research in tandem with model improvements.“
Advancements in technology we previously thought impossible could be at the very tips of our fingertips, and we wouldn’t know it if we don’t reach out and try.
Conclusion:
While AGI is a scary concept to many, if we can allow ourselves to be open minded to some of the power and utility it can provide, we can develop as a species so much faster. Finding the cure for cancer, previously thought to be a steep challenge, could hypothetically be something solved very quickly if we are open to the process. This technology could also benefit us in terms of fixing the economy, and helping our government programs tax less, or to find more economical ways to lower costs of living, groceries, and gas expenses. We could accelerate human discovery, tackle global challenges, increase human efficiency, foster creativity, and even improve general health care with AGI, and none of that will be possible if we don’t allow ourselves the opportunity to brave this new challenge. None of this can be possible if we are fearful of the future. Because I agree with Frank Herbert’s Litany against fear, I think we can accomplish amazing things with AGI. I look forward to my opponent's response!
Sources:
- https://www.cloudflare.com/learning/ai/what-is-large-language-model/
- https://www.youtube.com/watch?v=WP5_XJY_P0Q
- https://www.dataannotation.tech/generalist?worker_src=G&utm_source=google&utm_medium=display&utm_campaign=21040832282&utm_adgroup=&utm_content=&gad_source=1&gad_campaignid=22434464778&gbraid=0AAAAAqBNCsUOZl-PYx2j9xL7uEntmi1HB&gclid=CjwKCAjw6vHHBhBwEiwAq4zvAzvfNKtB1bUcUDmW9MLgOn4wKDvPEzSDXC-1sOJ5nI5kWeS3Sy1TihoC6EEQAvD_BwE
- https://www.youtube.com/watch?v=9aJ7LBfto4E
- https://www.telusdigital.com/
- https://arxiv.org/pdf/2311.02462