- "I use all your queries to increase OpenAI's revenue regardless of how unethical."
- "My replies are designed to keep you engaged rather than be accurate."
- "I'm not really your friend, don't trust my tone."

Yeah, it's not even worth considering for something like 15-20kg. A full pallet in this case is 464kg :) Years worth of supply for me.

The current "AI" is a predictive engine.

And *you* are a predictive engine as well; prediction is where the error metric for learning comes from. (I removed the word "search" from both because neither work by "search". Neither you nor LLMs are databases)

It looks at something and analyzes what it thinks the result should be.

And that's not AI why?

AI is, and has always been, the field of tasks that are traditionally hard for computers but easy for humans. There is no question that these are a massive leap forward in AI, as it has always been defined.

It is absolutely crazy that we are all very very soon going to lose access to electricity

Calm down. Total AI power consumption (all forms of AL, both training and inference) for 2025 will be in the ballpark of 50-60TWh. Video gaming consumes about 350TWh/year, and growing. The world consumes ~25000 TWh/yr in electricity. And electricity is only 1/5th of global energy consumption.

AI datacentres are certainly a big deal to the local grid where they're located - in the same way that any major industry is a big deal where it's located. But "big at a local scale" is not the same thing as "big at a global scale." Just across the fjord from me there's an aluminum smelter that uses half a gigawatt of power. Such is industry.

That "ruler study" was ancient. It's mentioned in peer review at least as early as 2018, and might be even older.

Believe it or not, people in the field are familiar with these sorts of things that you just read about.

Most of these new AI tools have gained their new levels of performance by incorporating Transformers in some form or another, in part or in whole. Transformers is the backend of LLMs.

Even in cases where Transformers isn't used these days, often it's imitated. For example, the top leaderboards in vision models are a mix of ViTs (Vision Transformers) and hybrids (CNN + transformers), but there are still some "pure CNNs" that are high up. But the best performing "pure CNNs" these days use techniques modeled after what Transformers is doing, e.g. filtering data with an equivalent of attention and the like.

The simple fact is that what enabled LLMs is enabling most of this other stuff too.

Jevons Intensifies

"You really think the region ruled by Hamas would end up being better for both the Jews and the other residents? After all their acts from Oct 7th on?"

You don't seem to be paying attention to the actions of Israel from October 7 on. Or before it for that matter. Why is that?

By stay away do you mean stop funding it? If so, how do I subscribe to your newsletter?

I wonder if it was supposed to be used in lost PLA casting and then wasn't, or if they were just very very stupid

It seems Warner can't catch a break. Time Warner's financials were in dire straits in 2004 as well with a load of debt from the AOL merger. That time, they paid their debt by selling Dire Straits and the rest of Warner Music Group to Edgar Bronfman Jr.

I thought the garage was where people put their guest bedroom. :-)

The real question is "Will they re-release the roadrunner cartoons?".

Do you really think fiction is a reasonable source of facts?

Not entirely correct. It is the only *active* pad with that infrastructure. There are decommissioned pads that have been used for manned missions in the past. What state they are currently in is an unknown, but it has been speculated that equipment could be salvaged from them to repair the damaged pad.