RFS is dead. Like his wife.

What could possibly go wrong?

Apple is becoming more MS every day.

"Now that's a name I've not heard in a long time"

Its called fingerprinting, and it has been going on a very long time, using techniques that go back decades. This just makes it more persistent and spans attempts to obfuscate fingerprinting in easier ways.

If you want to avoid this, work from a non-persistent VM that is created and destroyed every online session, using no identifiable information (no-logins ever).

Security isn't convenient.

Seales is using conventional machine learning techniques that the article's author has conflated into the buzzword of the day, artificial intelligence.

Machine Learning *is* an AI technique. Artificial Intelligence has always been an umbrella imprecise word to define a large class of very different algorithms, with the only trait in common that the programmer doesn't know a precise sequence of steps to find the solution but rather the data-driven program explores the inputs to try and find useful results.

Saying that a program is AI isn't wrong, it's just not very informative about what approach was used.

Learned it from T-Mobile, and their T-Life setup.

Stores are all but useless now.

Spin up a LIVE based VM, with one of the more secure browsers. Then when you're done, all the cookies are poof ... gone.

This bypasses almost all forms of tracking/fingerprinting browsing systems.

Also, why can't hackers figure out how to poison cookies?

Computers didn't start with apps. At first they ran 'programs' with no OS at all. Having computation evolve around the statistical inference model of LLMs is just the next step in that progression.
It also happens to be a wet dream for tech company leaders. An OS that runs on buzzwords? That will attract humongous financing until some engineers find a way to make something that actually resembles the premise; at which point the tech lead gets saluted as a visionary by their fellow millionaires

We are living out the TV show. Everything in that show is coming true (if it wasn't already).

If you haven't seen it, it is very entertaining, and now almost seemingly prophetic.

That's the thing with metaphors, they have similarities but there are also points of divergence. Point is, my metaphor was not meant to be understood as a technical description of the system's workings.

For the unsuspecting soul who approaches this modern oracle without the faintest idea of how it works, the experience of facing unexpected demons could serve as a warning of the dangers they may face if they approach the tool without caution.

People compare AI and robots with Frankenstein's monster (or with Pinocchio, on a good day, if they want to give the story a positive spin), the construct which gains a life of its own.

But current LLM chats are more aptly compared with a ouija board. The machine itself is inert, and you can see it as a playful activity. But the model contains within it the highlights of a whole culture compressed during its training. You can access the souls of all the authors whose works were used for learning; but also of all the internet fanatics, trolls and scammers. When you set the machine in motion, you never know whose spirit are you invoking to answer.

s/how the person mental started/ how the person feels mental states/

There is no room for it to manifest in a computer program. There is no room for any "magic" in computer programs.

That's true for classic software in a trivial way, in the sense that a sequence of logical inference steps (i.e. a deterministic symbolic program) do not reflect upon itself.

However it may be possible that the computer program is not conscious, but the computer running the software is. LLMs in particular generate their output not from the specific instructions included in the program, but from the weights trained in the model; the software instructions are a requirement for the weights being interpreted, but the outcome doesn't necessarily follow the rules of a formal system and an inference process.

Current LLMs do not have consciousness because their processing is too simple for it to emerge; not because the software substrate is deterministic and mathematical. If the base software were processing the weights of the model in ways similar to how neurons generate brain waves, it is plausible that the emergent system-level information patterns appearing at the data level could exhibits the attributes of consciousness, including self-perception and self-reflection. This is true even if the computer software is deterministic, in the same that the neurons in our brain behave in deterministic electro-chemical ways.

On the contrary, it means that neuroscientists have measured precise ways in which brain waves of vision and audio processes converge into taking decisions before the person reports being conscious of taking such decision; and that they have studied precise ways in which altering the brain chemistry affects how the person mental started. Just look for the papers on these experiments for these topics.

No way. We may not have a full scientific understanding, but neuroscience has made huge advances in how consciousness emerges in the brain and how it is affected by the changing conditions of its low-level processes.

We cannot say that machines at some point will never have similar emergent patterns that could become conscious. But we for sure can say that the current ramblings of text generation from LLMs definitely can't be conscious, because they are created directly by much simpler low-level deterministic computations.

The long LLM-generated dissertations that people mistake for conscious reflections do not come anywhere near from the complex introspective processes that we know are involved in having consciousness; they are just mechanic pattern generation from the highly compressed encoding of human culture one which they have been trained. It's true that our own brains do learn by highly compresssing our live experiences, but we know for sure that our consciousness involves something more than just compiling memories.