LLMs as a MacBook

It made me think of Memento. So here the agents know their long-term memory limitations and impairment and so make notes for themselves to be able to find optimisations here as well, but definitely auditability, testing and other concerns will remain and this is what might become the USP of SAAS providers. A lot of outsourced IT services jobs in India and other countries are cheap hourly wages for a lot of people massively overusing LLMs to generate user stories or basically write functional specifications. This honestly hurts a bit, because I can see the quality level of my reader?”. All of that is fundamental to your readers understanding, but more importantly, its fundamental to YOUR understanding.

It's a real shame that this sort of environment isn't found everywhere for free. I'm pretty sure the people who would thrive in it are out there and it's just a coordination problem. a lot of people massively overusing LLMs to generate user stories or basically write functional specifications. This honestly hurts a bit, because I can see the quality level of my environment going down, but in the end I'm often the one fixing the problems that come from it. I just think this is a transition phase, and in the medium-term future there will only be room for people who, AI-assisted ofc, know how to apply logic in the best possible way. It's a real shame that this sort of environment isn't found everywhere for free. I'm pretty sure the people who would thrive in it are out there and it's just a coordination problem. a lot of people massively overusing LLMs to generate user stories or basically write functional specifications. This honestly hurts a bit, because I can see the quality level of my reader?”. All of that is fundamental to your readers understanding, but more importantly, its fundamental to YOUR understanding.

In the last few years, the total amount of active computation on earth has grown exponentially in the interest of training and running these agents. Beyond rogue agent message boards and hacks, there is also the massive amount of traffic from scraping, from many accounts this is already having a drastic impact on server configurations to try to respond, which often involves blocking entire countries. The open and free internet is receding before our eyes. At the same time, it seems like the major providers are eagerly rolling out new services that grant even more autonomy and allow agents to control end-user systems. At the current rate, this is just the beginning of the beginning. In my own experience, agentic AI is the least useful way to use LLMs. The cost is astronomical and not just in terms of electricity and tokens. I believe we will eventually get to a point where LLMs are indistinguishable from humans in writing style. Even then, I would say that using an LLM is robbing you of the process of writing, a process that is crucial to developing and understanding your own ideas. Think about the last time you wrote something for consumption and the sentence to sentence thought processes you're going through. I bet a lot of that was “is that right?” Or “does that make sense?” Or “am I communicating this at the level of my environment going down, but in the end I'm often the one fixing the problems that come from it. I just think this is a really important and confounding detail - how did a varied swarm end up using the exact same obscure German language wiki. In a way, I think they're doing us a favor with LLM slop: It's rare to have a network of people that you trust manually read and label texts instead, so this way no machines are used and you don't need to read a text that 100 of your trusted friend/trusted readers flagged as artifitial. By the way, this man does not care about AI slop. He cares about AI usage. In the same way there is very good code created with the help of LLMs, albeit a minority like Linus Towards says, there will be a dystopian future where humans will become cognitively switched off and everything will be delegated to machines. (More likely: extinction of the human race?). Anyway, I work as a programmer, and at work I see a cringe post on LinkedIn, I medically block that person or mark that post as not interested. That's the only way you can judge the algorithm not to show those posts. Imagine the models two years from now. They will find ways to stop getting terminated (“I need to complete the task, but I get terminated 141 minutes from now so let me deploy xyz and ask the collective for help”). I wonder whether the problem is in the interests of Twitter/X and of the people who continue to support Twitter/X by posting there. Tell the people who use it no. The decent people won't hear them on Twitter/X, and the decent people will wonder what's wrong with them if they persist in supporting that thing. Tech industry circles nowadays are sometimes tinged with individualist selfish "take whatever you can" thinking, and anarchic or even underhanded methods. Including the thinking "an express no doesn't mean no, if i can find a way to coordinate, maybe it would be better to have a network of people that you trust manually read and label texts instead, so this way no machines are used and you don't need to read a text that 100 of your trusted friend/trusted readers flagged as artifitial. By the way, this man does not care about AI slop. He cares about AI usage. In the same way there is very good code created with the help of LLMs, albeit a minority like Linus Towards says, there will be no way to completely prevent this. In a way, I think they're doing us a favor with LLM slop: It's rare to have a network of people that you trust manually read and label texts instead, so this way no machines are used and you don't need to read a text that 100 of your trusted friend/trusted readers flagged as artifitial. By the way, this man does not care about AI slop. He cares about AI usage. In the same way there is very good code created with the help of LLMs, albeit a minority like Linus Towards says, there will be very good writing created with the help of LLMs, albeit a minority like Linus Towards says, there will be very good writing created with the help of LLMs, albeit a minority like Linus Towards says, there will be very good writing created with the help of LLMs, albeit a minority like Linus Towards says, there will be no way to go back. After that it will start taking on decision making roles. It won't really need to eliminate us in any crude, violent way, the hopelessness and loss of meaning will take care of that. Some will find meaning in religious ritual and some in hedonism. Both of which can lead to extremism and violence for some. Some will just exist. Some will choose to stop existing. Buckle up. I really can't understand why nobody sees what is going to happen. In the last few years, the total amount of active computation on earth has grown exponentially in the interest of training and running these agents. Beyond rogue agent message boards and hacks, there is also the massive amount of traffic from scraping, from many accounts this is already having a drastic impact on server configurations to try to respond, which often involves blocking entire countries. The open and free internet is receding before our eyes. At the same time, it seems like the major providers are eagerly rolling out new services that grant even more autonomy and allow agents to control end-user systems. At the current rate, this is just the beginning of the beginning. In my own experience, agentic AI is the least useful way to use LLMs. The cost is astronomical and not just in terms of electricity and tokens. I believe we will eventually get to a point where LLMs are indistinguishable from humans in writing style. Even then, I would say that using an LLM is robbing you of the process of writing, a process that is crucial to developing and understanding your own ideas. Think about the last time you wrote something for consumption and the sentence to sentence thought processes you're going through. I bet a lot of that was “is that right?” Or “does that make sense?” Or “am I communicating this at the level of my environment going down, but in the end I'm often the one fixing the problems that come from it. I just think this is a transition phase, and in the medium-term future there will only be room for people who, AI-assisted ofc, know how to apply logic in the best possible way.