The actual report uses the phrases "minimally-processed", "shop-bought processed," "ultra-processed" and "shop-bought ultra-processed" food. The actual recommendation is:
"minimising shop-bought ultra-processed foods"
Minimally-processed and ultra-processed food have a proper definitions:
Lots of things have been "such an obvious horror" to people. Most of the time fortunately, someone ignored them.
OMG, imitatio naturae, playing god, entrapping the soul in a machine, sorcery, etc. Some religious factions still think it's a good idea to, for example, force children to die slow agonizing deaths because they think things like insulin, blood transfusions, kidney dialysis or just seeing a physician about that lung infection are "such an obvious horror."
Why does he need more money?
His father, and his father before him, handed money down to their new generations of their crime family in order to keep the whole thing going. In order to feel like he measures up to his father, he has to do the same thing.
I'm reasonably certain that was sarcasm, but... mostly because it actually literally kills people, like PGE skipping maintenance for 99 years and burning down Paradise[, CA] or ATT taking away the POTS so people in the hills can't call 9-1-1 since the cellular network doesn't reach them. This is an active issue in my town, which is in Humboldt county CA. I live about a block from the CO, which is absolutely tiny, because so is the town. (It's technically a city but it does not act like one in any regard. We don't even have a fucking disaster plan despite needing to cross a bridge or drive a road with "slide" in the name to get in and out of here. Yet Cal Fire is going to put a new HQ here, it's insane.
It's all your fault we fucked the economy so you can't afford salads, peons
Hmm, I hate CA, and I hate AT&T ( may both rot in hell ). I literally can't lose no matter who "wins".
I hope they both destroy each other somehow.
How would you benefit if the economic powerhouse of the USA were destroyed? Vlad, is that you?
Taxpayers gave ATT literally hundreds of billions of dollars to build out last mile high speed internet. Actually, this goes back so far that SBC and even Pacific Bell were receiving this money here in California. Pacific Bell once promised all subscribers would be able to get ADSL by the year 2000!
ATT (and others, but ATT is the single largest beneficiary) handed this money out to shareholders and executives instead of delivering that access. These phone lines they are trying to shut down now are among those which they promised to deliver high speed internet access to, then never did.
If ATT were a person, we'd have thrown it in prison for decades.
The solution to the ATT problems here in California is the same as the solution to the PGE problem: Nationalization. Both corporations are frauds right on their faces; they take the money they're handed, but they don't meet any of their obligations. There is literally no way in which they are doing what they say they are doing. Why is fraud bad for me, but great for AT&T?
I'll choose Christianity if I'm forced to pick a religion. That way I can still enjoy bacon and eggs for breakfast.
Yeah, but no shrimp or mixed fiber fabrics.
How are you defining "statistical inferences" as distinct from "logical inferences"? If you're defining fuzzy logic (e.g. not necessarily yes-or-no answers but allowing for ambiguity in conclusions), then we can agree conceptually, but your choice of wording is, I have to say, weird if so.
I got wifi 7 for twenty bucks. well, TBF I paid maybe $24 with antennas.
Latest top performance is expensive, and electronics in general are more expensive, if you haven't noticed. There are still plenty of Wi-Fi 5 devices, and a lot of networks don't go faster than 1 Gbps anyway. If you need faster, the USB-C port is capable of 5 Gbps Ethernet via USB-CDC NCM, so there's probably enough there to connect a 2.5 Gbps USB NIC.
The whole design is supposed to be open, so maybe you can gather a few friends and figure out how to install faster components that meet your expectations.
There's apparently lots of bribe money to go around.
It's basically a $75 Raspberry Pi knockoff board with a $20 SDR radio, a plastic case and some dolphin branding that's likely to get you in trouble.
very much putting him on target to sign more EOs than Truman did nearly a century ago.
To be fair, Truman was ending a war and starting two new ones and Trump is valiantly battling uh... 51 concurrent national emergencies.
My understanding is that LLMs are built on a foundation of ANNs, and that indeed the backpropagation used to train ANNs is a statistical process;
Two responses. One, that's discussing individual-neuron scale processes rather than collective processes; and this was a discussion about inference, not training. Human neurons also learn by error minimization (Hebbian learning). But this does not describe the macroscopic processes that result from said minimization.
* During training, neurons develop into classifiers that detect superpositions of concepts that collectively follow the same activation process. Individual neurons weight their input space and subdivide it by a fuzzy hyperplane to achieve a classification result.
* In subsequent layers, said input space is formed from a weighted combination of the previous layer's classification; thus, the superpositions of questions being formed are more complex, as are the classification results.
* In a LLM, this iterates for dozens of layers, gaining complexity at each layer, to form each FFN
* The initial input space to a FFN is a latent (conceptual representation), as is the output; the FFNs, in result, function as classifier-generators; they detect combinations of concepts in the input space, and output the causally-resultant concepts into the output space
* FFNs alternate with attention layers dozens to hundreds of times in order to process the information, each layer building on the results of the previous one.
The word to describe that is not "statistics". It's "logic".
In a LLM, the first few layers focus on disambiguation. If there's a token for "bank", is this about a riverbank, a financial bank, banking a plane, etc? As the layers progress, it starts building up first simple circuits, and then progressively more complex circuits - you might get a circuit that detects "talking like MAGA", or "off-by-one programming errors", or whatnot. In the late layers, you have the general conclusions reached - for example, if it were "The capitol of the state that contains America's fourth-largest metro area is...", you've already had FFNs detect the concepts of fourth-largest metro area and encoded Dallas-Forth Worth, and then later taken that and encoded "Texas", and then finally encoding "Austin". And then in the final couple layers you converge back toward linguistic space.
Anthropic has done some great work on this with attribution graph probes and the like; you can detect what circuits are firing, and on what things those circuits fire, and ramp them up or down to see how it modifies the output. They very much work through long chains of logical inferences.
10 to the minus 6th power mouthwashes = 1 Microscope
