dweinus

Most of the cost of power is not the cost of the electrons. You have to account for the transmission and distribution infrastructure, the operation of the grid, the safety programs, customer service, etc. Retail rates bake that all in. When you run local solar, they are still providing all of that for you when you need it, plus the distribution of the power you sell back to them. What would be "fair" would be to net meter at the value of the power, minus the cost of the grid and backup generation. The cold truth is that this would still be a negative number, i.e. what would truly be fair is for the homeowner to pay a fee to the power company even when they are running off of their own solar 24/7.

You might be thinking of 100F, a toasty summer day. 100C on the other hand (about 212F) is fatal even in zero humidity.

> Is it Shakespeare? No.

It's at least decent though, right?

> "What emerged over these seven days was more than just code..."

Yeesh, ok, but is it accurate?

> Over time this will likely degrade the performance and truthfulness

Sure, but it's cheap right?

> $250 a month.

Well at least it's not horrible for the environment and built on top of massive copyright violations, right?

Right?

My point is that their rant is not about that definition, even if they reference it. Again, they are not wrong in their concerns at all! It's just that having a PFAS'd internet is not a "sign of model collapse". A sign of model collapse would be new LLMs having degraded performance.

> You’ll spend 5-10 minutes knocking it back into your own style

You lost me here. I have often found it to be far more than a 10-minute style issue, but fundamental misunderstanding of the code purposes that I need to fix.

Ok, yes, but that's not what model collapse is. I was expecting an interesting finding on LLM training stalling due to AI pollution of the internet (the training data). Instead this a rant about the pollution of the internet. All good points and it will lead to model collapse, but this is a clickbait headline.

I don't want to hate, what you built is really cool and should save time in a data scientist's workflow, but... we did this. It won't "automate most of the ML lifecycle." Back in ~2018 "autoML" was all the rage. It failed because creating boilerplate and training models are not the hard parts of ML. The hard parts are evaluating data quality, seeking out new data, designing features, making appropriate choices to prevent leakage, designing evaluation appropriate to the business problem, and knowing how this will all interact with the model design choices.

Between the lines, you highlight a tangental issue: execs like Zuckerberg think easy/automatable stuff is 90%. People with skin in the game know it is much less (40% per your estimate).This isn't unique to LLMs. Overestimating the benefit of automation is a time-honored pastime.

Huh, I guess they did Not See this coming.

> They just seem to be regular right wing by American standards.

Correct, both have an agenda of subverting the rule of law to violate human rights of immigrants, under a flag of white nationalism. There is a single word for this.

Oh cool, horrendous things like this have been done for years. I guess it's fine then, human rights violations aren't real if someone else did them too. /s

All of your examples put together would be a rounding error in the US Military budget

To improve life, liberty, and the pursuit of happiness for its citizens.

It also avoids a lot of waste/pollution/cost. That might sound trivial, but over the course of 17 years an average person might own 5 laptops.

Another fascist takes his mask off

I knew a bunch of them. Most of them moved on: retired or started over in new careers. It hit them hard. Maybe not so hard because trading was a lucrative career, but most of us don't have that kind of dough to fall back on.

Oh good! I've got all these car batteries to dispose of, maybe it can help me figure out where to put them.

I shudder to think what the USA's would be, but strong chance it involves Florida Man.

TIL that in 2024 people are still trying to claim that trickle-down economics works. Given all the wealth at the top these days, I'll expect my trickle-down check in the mail any day now.

> "Let's consider a very simple distributed system. Our system is composed of two servers, [Math Processing Error] and [Math Processing Error]."

Yup. Pretty sure I've built that system before. Can relate.

It is a special building. Like most of his work: charming, unique, and completely impractical. Keeping it maintained out where it is was always going to be hard, but it looks like they've been had. It's a shame.

A site run by a fascist transphobe? Hard pass.

> Now the Web at large is full of slop generated by large language models, written by no one to communicate nothing.

Fair and accurate. In the best cases the person running the model didn't write this stuff and word salad doesn't communicate whatever they meant to say. In many cases though, content is simply pumped out for SEO with no intention of being valuable to anyone.

I'm not anti-union at all, but I do think there is a very common experience that sours people against them early in their career: that of a mandatory union that docks your already meager pay without any obvious benefits. It of course overlooks the things you enjoy as an employee that the union won and fights to retain (breaks, safety standards, etc). I think anyone who wants unions to succeed needs to think about solving that problem, because unions only succeed on collective action.

They take down the myth, but in this whole long article I didn't see any attempts to get quotes/perspective from actual indigenous people. Why?

Citation very much needed. For each person living rurally or suburbanly, the per-capita footprint is bigger in terms of land, roads, building materials, facilities, shipping, HVAC, and transportation. The supply problem you mention gets worse in rural environments, not better, because you need to distribute goods across large areas. Here's some data too: https://theconversation.com/suburban-living-the-worst-for-ca...

100% I think the author is really misunderstanding the issue here. "Hallucination" is a fundamental aspect of the design of Large Language Models. Narrowing the distribution of the training data will reduce the LLM's ability to generalize, but it won't stop hallucinations.

"This single parameter model provides a large improvement over the prior state of the art in fitting an elephant"

Lol

So many articles on this paper, none link to it: https://bmjpublichealth.bmj.com/content/2/1/e001000

In case you want other mental health tips from the study: "Individuals who abstained from alcohol showed lower cognitive scores than those who consumed alcohol"

...or RAG!