Is this a response to marketing lingo specifically or some other cultural phenomenon? There's a difference between what you want to do to advance your goals (e.g. compromising), and what you want to say for visibility for whoever's goals they are (e.g. "uncompromising" the customer's goals).
There might be a deeper point being communicated, not sure, but I see no issue here.
Why? Why do people submit content for our reading when it is not their words? Does it give legitimacy to them? Does it push an agenda? Does it make you look professional? Is this for some kind of executive or boss?
"The part I have to be Fair about" "Why it did this", "Why this should bother you", "honest framing", ...
The things you are doing differently are not legitimate guardrails either. An AI article warrants AI-generated criticism, so I'm not going to say more.
Any mechanism you find that can do this could also be used for money laundering, no? By way of identifying that money laundering in the US should not be possible (meaning without legal consequence), then this too should not be possible.
Isn't this like saying "my words are not really my own when I speak to my family, because I know my father is a non-native English speaker and hard of hearing so I try to use words which are well enunciated and are few in syllable count"?
Amazon is heterogeneous. So much so, that positive anecdotes and negative anecdotes are near worthless without specifying the org.
Depending on if you're a cost cutting team, fixed expense team or organization, if you're a revenue driving team, or if you're a core team, or the very many other splits you can come up about the relationship between the expense/balance sheets and the team itself...there are very very different attitudes towards COEs and leadership principles.
Why jump on the opportunity to prune reading by rejecting the lot as soon an unrelated premise you disagree with is presented?
Perhaps at that point if you stop reading after the first sentence, you could churn the entire article through AI to summarize it into a single sentence, and see if the invalid premise is core to the message?
Heh. I do something like this when I'm at work in meetings, basically dynamically trying to map out what people are saying so that I can build mental models.
Funny that soon the AI can define my own mental model on the fly soon.
> In reality, you put your fingers in the position for a C on that specific instrument and you get a C.
OK, my fault for poor communication. Let me try strongly typing this.
Clarinet: you play a finger-C, out comes a soundwave-Bb. Flute: you play a finger-C, out comes a soundwave-C. And finger-C is polymorphic on the instrument, or something.
Aside from that, I don't disagree with you.
One consideration is that with most instruments, being keyed the way they are, if you immediately transpose via LLM some of those instruments will have almost all their notes in unexpected ledger lines.
I've heard of musicians with very strong senses of perfect pitch flocking to flute or oboe, because anything not keyed in C (perfect pitch equiv) results in too much cognitive dissonance. Clarinets are keyed in Bb (you play a C, out comes a Bb), horns in F (you play a C, out comes an F), trumpets in Eb (this should be clear), and so on...
Like motion sickness with musical tones - you see one thing on the page, you have a sense for what "note" you're playing, but out comes something else.
I have perfect pitch but it's not really useful, except for noticing that my instrument is getting sharper. But that doesn't matter since you have to be in tune with the rest of the band/orchestra.
There is also buffer for clean water required - Y gallons on-hand at the datacenter. You can see the other replies in this parent comment demonstrating the tight ongoing humidity requirements, and how clean water is sprayed onto the actual hardware to cool it off, and more. Evidently this can't be done by setting up a giant funnel above the datacenter to collect rainwater.
Given those considerations I expect Y to be pretty large.
> Nothing will be able to stop you from pulling the plug.
Who is "you"? And what do you envision is the "plug" to pull? And when does an intelligence become a superintelligence - do "we" know when to pull the "plug"?
For example, a superintelligence may be born in a datacenter. Would you expect politicians are aligned with shutting down a datacenter (privately owned) in which they may have heavy stake? What if critical systems are also running on the same infrastructure, will it be easy to cherry pick the superintelligence nodes to shutoff?
IMO this take is dismissive of the entrenched systems that make it hard to pull the plug. It's a hard problem and we need to think about it more.