The speed they banned r/pizzagate was illuminating.

No problem. Take a closer look a the link, particularly the graphs.

No, the opposite. They are superior. Bifacial panels have a 3% additional yield over standard panels. The +10-20% cost premium is covered by the +30% revenue

Even with traditional mountings, Bifacial panels pick up extra light reflected from the ground.

I don’t think we are arguing. I was just giving you more details.

Bifacial panels as a fence provides 3% extra yield but 30% extra revenue

https://www.gridcog.com/blog/solar-fence-vs-ground-mount-solar

15% yoy is too generous. S&P has averaged 10% p.a. over the past 100 years.

But yes, compound interest brings the billion target ($20M pocketed @ 10%) down from 40 to 18.8 years.

But remember, the average CEO tenure is about 7.5 years.

Getting to a billion through a salary only is very difficult.

Solar panels as fences is what is needed.

When you’re earning $26M/year, it’s just a matter of time.

It still takes 40 years.

I find “master” offensive, so I make sure I main bate instead.

Cory Doctorow wrote a pretty entertaining book on the subject of tech vs politics.

https://craphound.com/attacksurface/

Also it’s well researched

https://pavelanni.github.io/attack-surface-tech/attack-surface-tech.html

It also means we don’t have to obey the law

Not true. Even pre ICE. Law enforcement is allowed to lie to you, but you cannot lie to them. The playing field is not level.

That was temporary tourettes (self diagnosed)

Dunno. Asking 10 humans at random to do a task and probably one will do it better than AI. Just not as fast.

That looks better. Even with a fair coin, 10 heads in a row is almost impossible.

And if you are feeding the output back into a new instance of a model then the quality is highly likely to degrade.

No the chances of being wrong 10x in a row are 2%. So the chances of being right at least once are 98%.

Very fair comment. In my experience even increasing the temperature you get stuck in local minimums

I was just trying to illustrate how 70% failure rates can still be useful.

About 0.02

Run something with a 70% failure rate 10x and you get to a cumulative 98% pass rate. LLMs don’t get tired and they can be run in parallel.

Think of AI as a hard working, arrogant, knowledgeable, unimaginative junior intern.

The vibe coding is great for small, self contained tasks. It doesn’t scale to a codebase (yet?).

Upgrading a computer is very different to adding a new sensor array all around the body.

I’m not saying upgrading older cars the only reason for excluding lidar, but I bet it was a large factor.