LLMs

For example if I need to generate a long formula for excel or power apps, I could write it myself or I can just tell the LLM the parameters and it will do it in 1/10th of time.

If I need to create course material, I can shove in bullet points for my key topics and have it expand it into a first draft for me. This concept I actually use a lot more than just for course material. It’s great at generating drafts of everything from statements of work and quotes to presentations (Co-Pilot in 365)

I know how to do the job without it, so hallucinations are easily caught and cleaned up. It’s a tool to speed me up, not replace me.

Business process automation. I use it for everything from communications to programming.

I automate office processes, improving productivity. So literally the opposite of a bullshit job.

If it’s so useless, why am I using it all the time for my job to speed up my work?

Still considered a laptop, they have low power modes for unplugged use.

The only problem I have with this is that USB-C PD can only go to 240w, which is fine for most laptops but my current gaming laptop has a 240w power brick and it only has a 3060 in it. The 3080 and 3090 variants had 300w+ bricks IIRC.

I don’t live in India, but I hope gaming laptops get some sort of exception if their power draw can exceed the specification limits.

I’m going to be the odd one out on this.

I prefer ultra customized recommendations, I wish they were even smarter. Especially if I’ve already bought something, I want them to know so they stop advertising that product to me.

I’d rather see ads for products that I may actually buy rather than for shit I don’t have the slightest interest in.

I rarely buy products without significant research, so ads aren’t likely to trick me into buying something of poor quality. I just need to have awareness of things I don’t even know exist.

I don’t think a lot of people actually understand the concept of how big the Chinese population is today.

They could lose a billion people, and still have more people than the US.

There are more licensed medical doctors in China than there are people in the state of Oregon.

Now that being said, China’s going to collapse. It’s population tree currently looks like a nuclear cloud, and they have next to zero immigration to deal with that situation. Their population started declining two years ago, and the next 40 years are going to be rough as they are expected have a net loss of 400+ million people.

This particular implementation doesn’t really apply to those situations, there are already existing technologies which can pre-train on specific voices they could be using for that since the target is known. The main “improvement” from this system is that you can train it on any target subject, even with background noise, in only a few seconds.

It’s most useful in scenarios they’ve outlined in their study, like using it with your friend you ran into on the bus, your tour guide, etc.

It’s already boosting productivity in many roles. That’s just going to accelerate as the models get better, the processing gets cheaper, and (as you said) people learn to use it better.

AI will help with that too, it’s going to be able to process entire codebases at a time pretty shortly here.

Given the visual capabilities now emerging, it can likely also do human-equivalent testing.

One of the biggest AI tricks we haven’t started seeing much of yet in mainstream use is this kind of automated double-checking. Where it generates an answer, and then validates if the answer is valid before actually giving it to a human. Especially in coding bases, there really isn’t anything stopping it from coming up with an answer compiling, running into an error, re-generating, and repeating until the code passes all unit tests or even potentially visual inspection.

The big limit on this right now is sheer processing cost and context lengths for the models. However, costs for this are dropping faster than any new tech we’ve seen, and it will likely be trivial in just a few years.

No need to defend it.

Either it’s value is sufficient that businesses can make money by implementing it and it gets used, or it isn’t.

I’m personally already using it to make money, so I suspect it’s going to stick around.

You, along with most people, are still looking at automation wrong. It’s never been about removing people entirely, even AI, it’s about doing the same work with less cost.

If you can eliminate one programmers from your four person team by giving the other three AI to produce the same amount of work, congrats you’ve just automated one programming job.

Programming jobs aren’t going anywhere, but either the amount of code produced is about to skyrocket, or the number of employed programmers is going to drop (or most likely both of those things).

That’s also happening.

It’s “taking the piss”

Amd it has nothing to do with urine consumption…

You can have an opinion that is grounded in basis of logic or fact.

In my opinion, the sunset appears pinky/purple. The basic foundation of this opinion (which others may disagree with due to slight variations in atmospheric conditions) is still rooted in fact. Someone else may think it looks red/purple. Both are basically correct, reasonably speaking.

Not even Urban Dictionary has a definition for “Too big to fail” that applies here, and it’s got one about taking a shit.

VALID - (of an argument or point) having a sound basis in logic or fact; reasonable or cogent.

No, not all opinions are valid.

1. No they aren’t. They’re saving me multiple hours a week at my job. They’re a productivity multiplier for many tasks even in their current early state.

2. If you don’t think every single cellphone manufacturer isn’t trying to jam a local model into their newest devices, I’ve got a bridge to sell you.

That’s not what that term means…