The problem lies more in #2 than #1. It's fine to repurpose words in new domains, but there's zero guarantee that translates back into anything useful about the original domain.
As a former perceptual neuroscientist, I can assure you that ML "attention" has very little to do with biological attention.
I'm skeptical it requires embracing new meanings, it only requires being unbiased (non human centric in thinking). If an organic looking alien landed on Earth, circa 1950, with the capabilities of whatever the cutting edge version of eg Mythos is, humanity at the time would have had absolutely zero problem recognizing it as de facto intelligent, even if it only responded when prompted during interactions. People would have merely categorized it as a different type of intelligence. Instead of embracing that intelligence can come in many forms, as sci-fi has proposed about the appearance of alien creatures for many decades, when confronted with the arrival of another type of intelligence, humanity becomes cowardly as it always does when its perceived specialness is challenged.
People are doing what people do: they're desperately moving the goal post to keep pretending humanity is particularly special and that intelligence is particularly special. Unique snowflakes and all that, we're the center of the universe. It's nothing more than elaborate human weakness & fragility on display.
We're in the first inning of this, intelligence is not going to end up being special, it's going to be trivial and low cost. See: Chinese models ten years from now.
Astra, Opus, Fable, Argon - they're all radically beyond the top 1% of humanity intellectually already, and it's going to get a lot worse quickly. The sole aspect the top 1% beat them on, and increasingly rarely, is at hyper specialization, where a person is elite at what they do. For $20-$100-$200 per month I can get access to an omnimath genius intellect far beyond any human that has ever existed, and that AI will work for me like a dog. Humanity should be scared, and the reason HN hates AI so much, is because it will wipe out very large numbers of their lucrative jobs that they imagined would form long-term careers (six figures, stock options, path to wealth, elitism re competition).
I don't think it can expert in all jurisdictions and all area of law.
There are lots County or state specific law.
Some case law in different state can be referenced for some legal principle, even if the same law does not exist your etc.
Passkey, as currently implemented, is not something I wish to use.
I have sign up a few for "get a feel" of what is going on.
but the implementation outside a few flagship website just sucks. It is infested with the "design by committee" disease -- too many options, almost impossible to implement correctly.
Eh, it’s alright. The spec is quite overengineered, but practically it’s very possible to achieve a good user experience.
And conversely, there are also many ways to make legacy password based auth break password managers and annoy users even though there’s no specification for that at all.
The original article feeds precisely this misreading. It quotes the old IBM adage ‘a computer MUST never make management decisions’ (my emphasis) but describes it in its headline as ‘a computer CAN not make decisions’ (my emphasis)
These are not the same, and this misinterpretation of the author’s intent inevitably follows.
CAN NOT is horribly ambiguous in English which is why RFCs use MUST and MAY.
In casual speech someone might say “you can’t park there” but that’s not true. They might mean “you must not park there” or “you should not park there” but the only reason they are telling you is because you CAN park there.
It gets used more often to express prohibition not impossibility (“you can’t be in here” spoken to someone who manifestly is for example). Also disbelief (“this can’t be happening” about something that is happening). It’s just not clear which sense people mean it in, so it can’t be used when you want to be sure you can’t be misunderstood.
For another example of ambiguity, consider the sentence “A triangle can not have any obtuse angles”.
Is this 1) true, because there exist triangles with only acute angles, or 2) false, because triangles can have obtuse angles?
Precisely. It seems reasonable to say that ‘a triangle can only have one obtuse angle’ - but in some strict senses it is incorrect - one obtuse angle is not the only thing a triangle can have; it can also have none.
More to the point, a simple control flow statement is really a decision made by the person who programmed the computer, not made by the computer.
Though LLMs make this all fuzzy it's still basically the same thing. LLMs didn't decide to make a toxic culture of LLM use, people did. They were told that it was necessary to save themselves.
Computers are operated to (either through command or through training) make decisions. Liability for the consequences of the decisions obviously lies on the operator of the computer that made the decisions. Or at least that should be obvious.
And even Firefox took well over a year to bring it up, after stating they didn’t really care for JPEG XL. It was literally no one’s primary concern from the get-go.
- This involve multiple variable, so it is never a simple PID loop
- They didn't use LLM for the feedback loop, they use the LLM to test and fine tune their program.
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