Yet? Maybe they are but embedding adds or paid signal amplification/probability tweaking has already been floated on the market and may already be a product.
It doesn't matter if it's classic search or LLM. They can monetize tracking information as easily as they can sell ads. They'll have fast cheap custom-built assistant models that run on device by default, keeping things profitable. In time they'll likely double-dip again by injecting product placement in results.
I think it should always be disclosed. Even when they aren't explicitly advocating for a direct benefit to their company, their overall analysis is colored by their interests. The defense industry is going to amp up risks of an aggressor, downplay the risk of appearing to be aggressive, downplay non-military foreign policy strategies etc. Allow the defense industry to influence how we think about foreign events is certainly going to influence how we think about policy and spending.
AKA the "Chinese Room" argument. Ultimately this argument boils down to the idea that consciousness can't be something mechanistic, which is intuitively appealing but still just an assertion.
I am making a narrower claim than the Chinese Room argument. I actually see consciousness via mechanistic processes as entirely possible.
My point is about current LLMs specifically, which the article is clearly referencing. For a present day transformer, I can write down in my notebook everything the model ever sees as input, plus weights and architecture notes, and can compute the next token with pen and paper, just extremely slowly.
This does not prove that a computation cannot be conscious. But if the same transition from prompt to next token can be decomposed into an explicit sequence of arithmetic operations, then the burden is on the defender to explain: Where, in this process, consciousness is supposed to enter?
Mind that the Chinese Room experiment is comparing the mind of a Chinese speaker to a different mechanistic symbolic procedure. I am, however, executing the exact same mechanistic process, whether it is done on a GPU or with pen and paper.
My hope is that some magical consciousness process emerging from electricity circulation or whatever people believe the mechanism of consciousness would be in the case of LLMs obviously becomes implausible, unless you hold a particularly strong form of substrate-independence, stronger than what most substrate-independence supporters would need to accept.
The neural network in LLMs are not really that similar to brains. Here are a couple of the biggest differences:
1. Brains are plastic, making connections, breaking connections and changing "weights" on the fly. LLM have static weights. The best they have is writing to MEMORY.md or data getting used in the training run for the next model.
2. LLMs neural networks do not have loops. The best they have is that their output is available as future input, but that is not the same.
The earlier interceptors were for ballistic missiles. They are traveling at hypersonic speeds but have high trajectories (so radar can see them earlier) and can't maneuver for significant parts of their flight (so they are easier to track and target).
FWIW they were cancelled because they didn't have a particularly good kill ratio and proliferation and MIRV meant you'd need a ton of them to prevent an attack landing (and doing so would involve a significant number of nuclear blasts pretty close to the targets anyway). Deterrence was more credible.
Channel issues are like 90% of issues like this, but it's not always user error. Often a cheap production will just ship the front left + right channels as the stereo mix, instead of down mixing all the left + center channels into the stereo left etc. This is endemic in back catalogs on streaming providers where the catalog is a bulk assets that nobody reviews and is passed around between companies that don't care about the quality they deliver to each other.
As I recall they do - with many being delivered “green” to the integration upfittet but I think the 737’s for the p-8 is actually assembled separately just for the military
It's not just the final production line that matters, but the whole supply chain. Boeing frequently has new airframes sitting and waiting for parts from suppliers.
I don't see the same thing here. Google isn't making any money from being the assistant in Apple, so why would they pay to be it?
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