One of the better uses I’ve heard of is in search and rescue type situations. Using AI to find specific items, people or anomalies on a map or video feed can be helpful.

An example regarding wildfires:

California turns to AI to help spot wildfires

This sort of feels like someone using a PC for the first time in 1989 and asking what it does that they can't do on a piece of paper with a calculator. They may not have been far off at the time, but they would be missing the point. This is a paradigm shift that allows for a single application to fulfill the role of, eventually, infinite applications. And yes it starts with mundane tasks. You know, the kind people don't want to do themselves.

Anything that requires tons of iteration can be done way faster with AI. Finding new chemical formulas for medicine, as an example. It takes a "throw everything at the wall and see what sticks" approach, but it's still more effective than a human.

Maybe you only do an "odd bit" of mundane writing and the image/music generation is a gimmick, but a lot of the modern world is mundane and pays people lots of money for mundane work. E.g. think of those internal corporate videos which require a script, stock photography and footage, basic corporate music following a 4 chord progression, a voiceover, all edited into a video.

Steve Taylor is most famous for being the voiceover for Kurzgesagt videos, but more generally he's a voiceover artist that features in lot of these boring corporate videos. This type of content has such high demand there is an entire industry dedicated towards it, which seems well suited to AI.

https://youtu.be/vDb2h1-7LA0

This does raise further ethical/economical issues though, as most people in these creative industries actually require income from this boring work to get by.

Depends on what kind of AI. In gaming, AI is part of the process to entertain and challenge the player, and has even been used to help model life systems.

I have yet to see how useful LLMs can be outside of being blatant plagarists but for a time, projects like AI Dungeon really did push the emphasis on "interactive dynamic narratives" and it was really fun for a while.

ML has been an important part in fraud detection for at least a decade now.

Have you tried out writing prompts for an image generating AI? If you have some idea and play around with it it's quite a new thing. And extension of human imagination. YMMV

AI is helping us to correctly predict protein folding which will enable new medication. Afaik it's a major breakthough that could allow alleviating a lot of suffering.

Don't limit your thoughts to just generative AI, which is what you are talking about. Chat bot and media generation aren't the only uses for AI (by which I mean any trained neural network program that can do some sort of task.

Motor skills

AI can solve learn to solve the marble maze "Labyrinth" much, much faster than a human, and then speedrun it faster than any human ever has. Six hours. That's how long it took a brand new baby AI to beat the human world record. A human that has been learning hand-eye coordination and fine motor control all of it's life, with a brain which evolved over millions of years to do exactly that.

No special code needed. The AI didn't need to be told how balls roll or knobs turn, or how walls block the ball. It earned all of that on the fly. The only special code it had was optical and mechanical. It knew it had "hands" in the form of two motors, and it knew how to use them. It also had eyes (a camera), and access to a neural network computer vision system. When the AI started taking illegal shortcuts, and they had to instruct it to follow the prescribed path, which is printed on the maze.

Robots could in work factories, mines, and other dangerous, dehumanizing jobs. Why do we want workers to behave like robots at a factory job? Replace them with actual robots and let them perform a human job like customer service.

Think of a robot that has actual hands and arms, feet and legs, and various "muscles". We have it learn it's motor control using a very accurate physics system on a computer that simulates its body. This allows the AI to learn at much faster speeds than by controlling a real robot. We can simulate thousands of robots in parallel and run the simulations much faster than real time. Train it to learn how to use it's limbs and eyes to climb over obstacles, open doors and detain or kill people. We could replace police with them. Super agile robot cops with no racial bias or other prejudices. Arresting people and recording their crimes. Genuine benefit.

Computer Vision

AI can be trained to recognize objects, abstract shapes, people's individual faces, emotions, people's individual body shape, mannerisms, and gait. There are many genuine benefits to such systems. We can monitor every public location with cameras and an AI employing these tools. This would help you find lost loved ones, keep track of your kids as they navigate the city, and track criminal activity.

By recording all of this data, tagged with individual names, we can spontaneously view the public history of any person in the world for law enforcement purposes. Imagine we identify a person as a threat to public safety 10 years from now. We'd have 10 years of data showing everyone they've ever associated with and where they went. Then we could weed out entire networks of crime at once by finding patterns among the people they've associated with.

AI can even predict near future crime from an individual's recent location history, employment history, etc. Imagine a person is fired from his job then visits a gun store then his previous place of employment. Pretty obvious what's going on, right? But what if it happens over the period of two weeks? Difficult for a human to detect a pattern like this in all the noise of millions of people doing their everyday tasks, but easy for an AI. Genuine benefit.

Managing Production

With enough data and processing power, we can manage the entire economy without the need for capitalism. People's needs could be calculated by an AI and production can be planned years ahead of time to optimize inputs and outputs. The economy--as it stands today--is a distributed network of human brains and various computers. AI can eliminate the need for the humans, which is good because humans are greedy and neurotic. AI can do the same job without either. Again, human's are freed to pursue human endeavors instead of worrying about making sure each farm and factory has the resources it needs to feed and clothe everyone. Genuine benefit.

Togetherness

We will all be part of the same machine working in harmony instead of fighting over how to allocate resources. Genuine benefit!

Lots of it's actual AI. Nothing we have at the moment I would actually qualify as true AI. It's just algorithms spitting out and answers what it interprets your question as. They don't think or create anything, just regurgitate things in predefined patterns.

An interesting point that I saw about a trail on one of the small, London Tube stations:

• most of the features involved a human who could come and assist or review the footage. The AI being able to flag wheelchair users was good because the station doesn't have wheelchair access with assistance.

• when they tried to make a heuristic for automatically flagging aggressing people, they found that people with the arms up tend to be aggressive. This flagging system led to the unexpected feature that if a Transport For London (TFL) staff member needed assistance (i.e. if medical assistance was necessary, or if someone was being aggressive towards them, the TFL staff member could put their arms up to bring the attention onto them.

That last one especially seems neat. It seems like the kind of use case where AI has the most power when it's used as a tool to augment human systems, rather than taking humans out of stuff.

something I'm not seeing here is business applications in supply chain. Managing forward-stocking warehouses, monitoring shipping lanes and ordering for seasonality, as well as identifying anomalies such as chargebacks, stock outs, outlier returns/damages/failures is typically managed by a handful of people mixing spreadsheets, ERP databases, and emailing people to tell them "your light bulbs are stuck in the suez canal and your recent batch of cables have a defect"

AI can replace these systems with ML, and use LLMs to generate the notifications.

My partner and I have founded a company that uses custom AI models trained on research to (partially) automate the process of peer review and replication. We can identify mistakes and some types of fraud in research to aid reviewers as well as extract methods and equations from papers and automatically verify findings. If you know anything about the state of research right now, those are some incredibly large benefits.

Someone I know recently published in Nature Communications an enormous study where they used machine learning to pattern match peptides that are clinically significant/bioactive (don’t forget, the vast amount of peptides are currently believed to be degradation products).

Using mass spectrometry, they effectively shoot a sawed off shotgun at a wall then using machine learning to detect pellets that may have interesting effects. This opens up for new understanding in the role peptides play in the translational game as well as a potential for a huge amount of new treatments for a vast swathe of diseases.

AI is a revolution in learning.

Once the technology has embedded, our societal adjustments have completed (and they will be PAINFUL) and assuming the profit of AI is sufficiently taxed for the wealth to redistribute, AI will be seen as the Industrial Revolution x10.

Most likely however, the rich will get richer.

They are the greatest gift to solo-brainstorming that I've ever encountered.

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Our software uses ML to detect tax fraud and since tax offices are usually understaffed they can now go after more cases. So yes?