Having spent time in windmill farms in eastern Washington, can I say they're an eyesore that half the time are curtailed anyway (count how many don't turn)? And why don't they let me legally camp in all that land they take up?

"Prehistoric clinker outcrops in the American West are the result of prehistoric coal fires that left a residue that resists erosion better than the matrix, leaving buttes and mesa. It is estimated that Australia's Burning Mountain, the oldest known coal fire, has burned for 6,000 years.[10]"

Do expert systems use explicit rules to try to solve context sensitivity while the attention mechanism just counts co-occurrences of tokens over very long ranges?

Seeing as the attention mechanism gave LLMs context awareness that neural networks could not touch, do you think the geological application uses the attention mechanism, and is therefore using the same tool that gave context-sensitivity to LLMs?

Can you use attention independently of neural networks?

Are you claiming the following response is a hallucination? Why?

"You can implement "statistical attention" using purely mathematical operations like dot-product similarity or cosine similarity without any neural layers."

Pretty much. Steam is based on the customer's opinion -- the one that gamers actually care about.

From the website

Nominations for The Game Awards are selected by a voting jury of OVER 100 leading media and influencer outlets across the globe.

Not one gives a shit about a bunch of shills giving awards over games.

The main thing gamers care about is:

Is it worth playing?

Is it just retarded of me to think there has to be a better way that capitalism won't uncover because it is too easy to externalize disposal costs?

Can you understand my scepticism given that culverts are also recyclable but they don't do it? How much does it cost, isn't that their go-to excuse for not recycling?

Is "Attention is all you need" weird?

"We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. "

"In this work we propose the Transformer, a model architecture eschewing recurrence and instead relying entirely on an attention mechanism to draw global dependencies between input and output. The Transformer allows for significantly more parallelization and can reach a new state of the art in translation quality"

"the Transformer is the first transduction model relying entirely on self-attention to compute representations of its input and output without using sequence-aligned RNNs or convolution."

"An attention function can be described as mapping a query and a set of key-value pairs to an output, where the query, keys, values, and output are all vectors. The output is computed as a weighted sum of the values, where the weight assigned to each value is computed by a compatibility function of the query with the corresponding key."

"We call our particular attention "Scaled Dot-Product Attention" (Figure 2). The input consists of queries and keys of dimension
d
k
, and values of dimension
d
v
. We compute the dot products of the query with all keys, divide each by
d
k
, and apply a softmax function to obtain the weights on the values."

Can you please explain how attention is a neural network and not a simple dot product calculation requiring no neurons or hidden layers?

"the privately owned electric companies aren't going to give it away for free."

How much excess supply do they send to ground?

"letting them take those benefits away from their children and grandchildren..."

What if you don't have children?

Also, for breeders, why have I been hearing this argument since Reagan, but the debt has gone up over 500% and King Dollar means we still have an exorbitant privilege to print money (sell new bonds faster than old ones are redeemedl so those grandchildren don't have to pay anything back and creditors all remain whole and profitable?

Tl;dr: can you stop with the "taking from your grandchildren" meme, because it's been proven wrong already?

" AI models have "gotten really good over the last 10 years at being able to pull those types of signals out of noise," Hoiland said..."

How much does the attention mechanism (which is not a neural network, and which was a paradigm shift in chatbot proficiency at natural language) play a part in any pattern finding?

That's unusually bad, even for a year ago, but FSD has improved enormously since then. There were some huge updates around ~August that made it go from "Workable, but you have to watch it like a hawk" to "Really quite good, though still needs light supervision". I use FSD all the time and almost never have to intervene. It even passes the wife test now, meaning she uses it nearly all of the time, too, and I'd have said that would never happen.

OTOH, I used Waymo all last week for commuting around the bay area, and it was nearly flawless. There was one time it seemed to get confused because there was an emergency and there were sirens coming from multiple directions but none of the emergency vehicles could be seen. Apparently Waymo uses external microphones to listen for sirens. Anyway, it kind of stopped partway through a left turn through an intersection. It wasn't dangerous; all the human drivers were also slowing/stopping while trying to figure out where the emergency vehicles were, but it would have been better to continue through the intersection, then pull over. After about five seconds of hesitation, the Waymo did exactly that, but I'd have done it without the hesitation.

Neither does an EV. After 8 years an EV's battery pack will have degraded a little; perhaps it'll only have 85-90% of the range that it had when new (the 8-year warranty generally guarantees 80%). But the degradation curve is actually front-loaded; you lose the largest amount of range in the first year, less in the second, and so on. By the time it's 20 years old it will probably only have 75% of the range it had new. At 30 years, 70%, and so on.

Barring some manufacturing problem or catastrophic event, an EV battery should continue functioning long after an ICEV will need an engine replacement. The ICEV will maintain roughly its original range until it fails while the EV will lose a little range, but the EV will last longer.

As a driver of an EV, I disagree. I'd appreciate it if the PHEV (and EV!) drivers moved their vehicles when they are full, but as long as they're actively charging I don't see a problem with it. I suppose if the chargers are oversubscribed I'd appreciate PHEV drivers leaving them for the EVs, but that just means more chargers should be installed.