pzs

While I agree with you, I also find that an LLM can help organize my thoughts and come to realizations that I just didn't get to, because I hadn't explained verbally what I am thinking and feeling. Definitely not a substitute for human interaction and relationships, which can be fulfilling in many-many ways LLM's are not, but LLM's can still be helpful as long as you exercise your critical thinking skills. My preference remains always to talk to a friend though.

EDIT: seems like you made the same point in a child comment.

First of all, don't give up. What you are going through is not what you deserve, but a transition to the next stage in your life. Just because a relationship with someone didn't work out as you had hoped for does not mean you can't have even better relationships with others in the future. Adjustment takes time, so don't be judgmental about yourself. (Unsolicited advice, I know. I am about to get separated after a 20-year relationship myself, so I may be writing this in part also to myself.)

Now may be the time to learn who you really are! Do you have any interests you never really pursued because of lack of time? Are there any things you once planned to do but never really found them important enough to prioritize against being with your SO? You may need to think back several years to discover those... How about reconnecting with friends you may not have met only infrequently during recent years? While previously your schedule might have been defined by others in your life, now you need to take active control of it.

One thing that works really well for me is social dancing. It feels like a tactile game where the goal is to have fun and express what we hear in the music through connected movements. When I get to dance with a partner who's really good, it feels almost euphoric. It can be very-very rewarding. And there is most likely a community of social dancers who you can connect to. There is a bit of a learning curve, but there are dances like Cuban salsa where it is not so steep.

Good luck!

EDIT: added one more thought

Related question: how do we resolve the problem that we sign a blank cheque for the autonomous agents to use however many tokens they deem necessary to respond to your request? The analogy from team management: you don't just ask someone in your team to look into something only to realize three weeks later (in the absence of any updates) that they got nowhere with a problem that you expected to take less than a day to solve.

EDIT: fixed typo

Just experienced this and came here to check, because even their website is down. The referenced link also returns with 500.

Hmm, (whatever is in execs' head about) AI appears to amplify the same kind of thinking fallacies that are discussed in the eternal Mythical Manmonth essay, which was written like half a century ago. Funny how some things don't change much...

This trend of overengineering is apparent now in cars, too. An innocent failure, like a headlight going out can turn into a major systemic issue, like the engine refusing to start through a chain reaction inside an inadequately tested software control system.

I wonder if this is a one-way street, that is, if a realization will come at some point that simple solutions to simple problems can be more robust...

They call the cherries cascara, and I have come across them in some specialty coffee shops packaged just like the beans. You can pour hot (not boiling) water over them and prepare a tea-like infusion. It tastes sweet-ish without adding anything else. It gives a pretty noticeable kick to me when I drink it, even though I am a regular coffee drinker. I think it is worth a try, if you haven't done so yet.

"If the human brain were so simple that we could understand it, we would be so simple that we couldn’t." - without trying to defend such business practice, it appears very difficult to define what are necessary and sufficient properties that make AGI.

To update this excellent quote to 2025, change minutes to seconds and you just described TikTok.

"The real problem is the ROI on AI spending is.. pretty much zero. The commonly asserted use cases are the following: Chatbots Developer tools RAG/search"

I agree with you that ROI on _most_ AI spending is indeed poor, but AI is more than LLM's. Alas, what used to be called AI before the onset of the LLM era is not deemed sexy today, even though it can still make very good ROI when it is the appropriate tool for solving a problem.

There is a video on the page in which Bret Victor explains what it is all about. I find it very difficult to summarize, but my best attemp would be something like transforming computation into an activity that a community of people performs via manipulating real world objects.

This reminds me of what I learned about myself during my years spent at the university. I observed that in the morning my brain is better at understanding new concepts. Mornings were the best time for me to practice and improve problem solving, but I tend to remember less details of what I come across. However, at about 2pm my brain appears to switch to memorizing mode, where I struggle with problem solving compared to the morning, but I will remember a lot more of what I read. I structured my learning activity leveraging this observation. Even to this day (am 46) I can feel the same tendency, e.g., if a problem seems somewhat difficult, I just wait until the next morning, if I can, only to find it easy to come up with some solution that seemed out of reach the previous evening. Also, I try to do most of my reading at night (well, life with a family doesn't leave a whole lot of options for timing anyway).

> an attacker passively eavesdropping a GSM communication between a target and a base station can decrypt any 2-hour call with probability 0.43, in 14 min

The authors give the above example in the abstract. It does not look like the typical use case for embedded systems. I would think embedded systems send and receive small amounts of non-critical data over GSM, hopefully encrypted, as the parent pointed out. But I may be wrong here - is there a real use case for attacking embedded systems using this method?