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Haha, 99% of artists have spent more on supplies than they have ever made in revenue.

I didn’t claim I won because of Genai, I won the contract while saving time by using genai.

That’s beneficial for me.

I can’t wait for the antivaxxers to all stop eating eggs and chicken.

And it’s pretty disturbing that despite the absolutely massive avalanche of evidence that these tools have valid use cases that improve productivity, you’re pretending they dont.

I don’t care to argue, you keep ignoring them, I’m gonna keep making more money for less effort.

Depends on how you count.

I have four regular clients in post secondary education, local government, finance, and transportation.

Given that I’m doing work inside those companies, it could be argued I work in four different industries.

That being said, the tasks I do happen in almost every company larger than a handful of people.

Am I not in an industry when I do work?

I’m not the only freelancer I know using this and making more money.

GenAI isn’t meant to address every single situation, so it failing to address specific situations is perfectly normal.

I don’t know why anyone is doing generic worker studies when clearly half the people have been handed a hammer, when their job is cutting lumber. Of course it ain’t gonna fucking work for them.

Give people GenAI when their task is suited to GenAI, then do analysis on just those workers for just those tasks.

I never use GenAI to produce research documents, because it isn’t good at that yet. I tested it a few times, found the results lacking, and went back to doing it the way I was before.

I use GenAI to summarize my notes into Statements of Work for clients, because I tested that, and found the results excellent (and hours faster than me doing it the old way)

I use GenAI to create complex powerFx formulas, because again I tested that and it’s quite good and saves me time.

Well last time I did this, I won the contract and got paid.

I’ve used it for every contract I’ve had for the last year at least.

I’m a freelancer, I use it myself, I know it’s increased my productivity because I’m able to get more work done than I was doing before.

I think a lot of companies are trying to force it into jobs that it’s currently not suited to, but I can tell you that even today if things didn’t get any better than they currently are I’d keep running my local 14B parameter model to assist in the tasks that I’ve found it works well for.

I don’t use ChatGPT for this, I’m running a 14B parameter model locally.

It’s not about being foolproof, I know how to do this stuff myself, this just saves me time. I can look at it and know if it should work, then I test it, just like I would do if I wrote it myself.

It’s better than the documentation I write myself, it’s not like I don’t read over it and edit it before handing it to a client.

Plenty of examples out there.

I use it to write excel and Powerfx formulas, summarize my client notes for creating statements of work, and creating documentation. Saves me multiple hours per week and some weeks even more than that.

It’s not going to fall apart, genai tools are already increasing productivity in many industries.

Just because you haven’t seen any benefit doesn’t make it false.

Gmail data isn’t used for ai training.

You attempting to fuck with ai by yourself isn’t going to do anything.

Given the aluminum import tariffs just freed up a ton of electrical power in British Columbia and Quebec, I’d start there.

Because zero of the current data centers were not built for LLM inference. The latency matters in other use cases.

Did you even read the second part of my comment before getting mad?

Fuck I hate it when anything uses “water consumed” as a bad thing.

Writing a 100-word email consumes about 500ml of water (17 oz).

500ml of water is used in a cooling system. This water is not lost in any way, it’s just warmed up and evaporated. Which then falls as rain again.

If you draw more water from a particular area than that area can support it’s a bad thing. Otherwise, this is just a stupid argument made to appeal to emotions rather than logic.

Where I live, our main water source is a lake, and we only even bother closing the weir(a type of dam) that holds the water in come the middle of March, and open it completely again in October. We just just let billions of liters flow directly out to the ocean the rest of the year.

Especially for AI, you don’t need to locate datacenters near population centers at all, the latency doesn’t affect that use case at all. So it should be easy enough to build them in locations that have easy access to cheap energy and large amounts of water, pretty much anywhere that has a hydro electric dam is a good choice.