When I started my career I quickly became convinced that meetings are the opposite of work. Now a large part of my career is hosting meetings. 😬

I feel/felt similarly but I am now calling for meetings because it seems to be the easiest way to get my peers and superiors to do their fucking job so that I’m not stuck in limbo waiting for their parts to be finished. It seems like they only respond to slack mentions / emails / task assignments at random which leaves important, unanswered requests/questions just sitting there.

Sorry, this past year I’ve been working with another department for a project that, due to aforementioned woes, has run about 6-12 months more than it needs to.

I’m in the public sector and everyone is very busy and pulled in many directions so I kind of get it… but I want to be done with this thing.

It makes no difference cost wise to save a few cms of wood.

The cost savings is not only in materials. For manufacturing, lower quality materials and larger tolerances. Time to install and repair is lower because of how open the design is. Time to clean is lower because you can just soak the floor and mop without worrying about each stalls’ corners.

Brutal efficiency at the cost of comfort and privacy is what capitalism is all about. The US is just used to it and somehow also incredibly puritanical.

That said, efficiency isn’t a bad thing. There are some countries with some bathrooms that don’t have stalls - legit indoor public bathrooms where you just squat over a hole or urinals that are just one long wide trough. It’s about what you are used to.

Clearly the author doesn’t understand how capitalism works. If Apple can pick you up by the neck, turn you upside down, and shake whatever extra money it can from you then it absolutely will do so.

The problem is that one indie developer doesn’t have any power over Apple… so they can go fuck themselves. The developer is granted the opportunity to grovel at the feet of their betters (richers) and pray that they are allowed to keep enough of their own crop to survive the winter. If they don’t survive… then some other dev will probably jump at the chance to take part in the “free market” and demonstrate their worth.

More than enough people who claim to know how it works think it might be “evolving” into a sentient being inside it’s little black box. Example from a conversation I gave up on… https://sh.itjust.works/comment/18759960

The Constitution is conservative toilet paper unless they are referencing it for their own gain. They define reality in the moment as what is most convenient for them. Also, if you disagree with them you hate America, obviously.

I think the word “learning”, and even “training”, is an approximation from a human perspective. MLs “learn” by adjusting parameters when processing data. At least as far as I know, the base algorithm and hyperparameters for the model are set in stone.

The base algorithm for “living” things is basically only limited by chemistry/physics and evolution. I doubt anyone could create an algorithm that advanced any time soon. We don’t even understand the brain or physics at the quantum level that well. Hell, we are using ML to create new molecules because we don’t understand it well.

I think you’re either being a little dismissive of the potential complexity of the “thinking” capability of LLMs or at least a little generous if not mystical in your imagination of what the purely physical electrical signals in our heads are actually doing to learn how to interpret all these little shapes we see on screens.

I don’t think I’m doing either of those things. I respect the scale and speed of the models and I am well aware that I’m little more than a machine made of meat.

Babies start out mimicking. The thing is, they learn.

Humans learn so much more before they start communicating. They start learning reason, logic, etc as they develop their vocabulary.

The difference is that, as I understand it, these models are often “trained” on very, very large sets of data. They have built a massive network of the way words are used in communication - likely built from more texts than a human could process in several lifetimes. They come out the gate with an enormous vocabulary and understanding of how to mimic, replicate it’s use. If they had been trained on just as much data, but data unrelated to communication, would you still think it capable of reasoning without the ability to “sound” human? They have the “vocabulary” and references to mimic a deep understanding but because we lack the ability to understand the final algorithm it seems like an enormous leap to presume actual reasoning is taking place.

Frankly, I see no reason for models like LLMs at this stage. I’m fine putting the breaks on this shit - even if we disagree on the reasons why. ML can and has been employed to achieve far more practical goals. Use it alongside humans for a while until it is verifiably more reliable at some task - recognizing cancer in imaging or generating molecules likely of achieving a desired goal. LLMs are just a lazy shortcut to look impressive and sell investors on the technology.

Maybe I am failing to see reality - maybe I don’t understand the latest “AI” well enough to give my two cents. That’s fine. I just think it’s being hyped because these companies desperately need VC money to stay afloat.

It works because humans have an insatiable desire to see agency everywhere they look. Spirits, monsters, ghosts, gods, and now “AI.”

Yes, both systems - the human brain and an LLM - assimilate and organize human written languages in order to use it for communication. An LLM is very little else beyond this. It is then given rules (using those written languages) and then designed to create more related words when given input. I just don’t find it convincing that an ML algorithm designed explicitly to mimic human written communication in response to given input “understands” anything. No matter *how convincingly" an algorithm might reproduce a human voice - perfectly matching intonation and inflexion when given text to read - if I knew it was an algorithm designed to do it as convincingly as possible I wouldn’t say it was capable of the feeling it is able to express.

The only thing in favor of sentience is that the ML algorithms modify themselves and end up being a black box - so complex with no way to represent them that they are impossible for humans to comprehend. Could it somehow have achieved sentience? Technically, yes, because we don’t understand how they work. We are just meat machines, after all.

LLMs (Large Language Modles, like Claude) are not AGIs (Artificial General Intelligence). LLMs generate convincing text by mapping the relationships between words scraped from their training data. Even if they are given “tools” that give them interfaces to reference new data or output data into other systems, they still don’t really learn, understand, comprehend, gain actual awareness, or feel… they just mimic their training data.

I think a major part of it is education and exposure. Conservativism is, generally, a desire to halt or even roll back “progress”. The embrace of traditions and nostalgia for the imaginary “good old days”. You know what your parents and your community taught you. You’ve established what normal is from your small sample size. Why change things? Everyone you know gets along just fine and you like the way it is. Different is scary.

Unfortunately, the world is really fucking complicated. Simple explanations can make perfect sense when your understanding is simple. However, the more you learn about the world, the more diversity you are exposed to, the more context you discover, the more stereotypes get broken… the more accommodating and progressive you usually become.

The will and the resources have been there trying to move in this direction for a long time. I do agree that he’s absolutely fast tracked the process. His complete disregard for civility, shameless willingness to grift, and transparently transactional nature have enabled the absolute worst in us. From hateful, racist poor folks to deranged religious nutjobs to narcissistic billionaires - they’ve all been given the green light now.

I just hope that everyone takes note of which side people are on and, when this is all over, make sure that the memory of those who stood on the wrong side of history are so shamed, ostracized, disgraced, and hated that this shit doesn’t happen again.

To be fair, Trump is not the source of the problem. He’s a Heritage Foundation puppet, and those psychos kind of have people everywhere right now.

Also serves as a loyalty/obedience test AND gives him an excuse to punish anyone who disobeys. Tow the line or be targeted. Then when the real fascist shit starts you’ve slowly eliminated anyone with the balls to resist.

He’s not a crybaby. He’s trying to make dissent illegal in preparation for a fascist takeover of the government.

Their Dogs Were Astronauts - Progressive, Djenty. Hard to pick a favorite track or album.

Opeth - Started as progressive death metal but they have gotten more chill and progressive and experimental over time. Favorites for me are Blackwater Park (on the harsher end of the spectrum), Windowpane (chill end of the spectrum), Reverie / Harlequin Forest.

The writing is already on the wall for Hegseth. Is he trying to pretend he deserves some credit for being a maverick?

Lol. https://news.gallup.com/poll/653489/majorities-back-stricter-gun-laws-assault-weapons-ban.aspx

Sorry everyone, forget everything I said. This one person says that the first reason in my list of reasons of why it can be effective to form a tenants union isn’t a big deal in their state. I guess that miraculously invalidates all of my other points that aren’t related the legal fees of the eviction process. Obviously, it also applies to every other state, even if the fees thing is different there for some reason.

It can cost landlords a lot of money. You can evict everyone but then you need to actually go through the process with them, one by one. The union can also collectively call attention from the municipality, file official complaints, etc.

If you rent strike and the landlord evicts eveyone, then they need to ready all the units all at once with none of the units generating any income. Assuming they have maintenance staff, they don’t have enough to handle that kind of volume. They’ll need to contract it out or deal with no income as units get ready one by one. The only downside (upside for them) is that they might be able to raise the rents on new tenants if demand is high enough.