4,221 karma · joined September 20, 2012
The actual emperors? They are dressed (or, at least, in the fabric section of the hobby store and have a sewing machine at home)
Marketing, pure and simple
People relate better to something that sounds humanesque (even though it is not) vs calling it what it is (in this case, a massively-backed (ie LLM-based) Markov Chain generator)
A long way away
And here is why - driverless cars are a thing ... essentially making the car the "robot"
General-purpose robots are an amusing scifi trope, but have no practical benefit in reality
Purpose-built robots (even ones that can flex within that prupose to different applications) make far more sense (and have already been around for decades)
The use cases where it gets applied are far more than the valid ones
As for NFTs ... there never was (and never will be) a valid use case - it does not matter if you "own" a digital asset (like an image): a screenshot of it is good enough for 99.99999...% of people, so why pay for the "real" thing?
Now define "unintended side effect"
Now add "no one is maintaining it anymore"[0]
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And ... professors love making students reinvent the wheel
Then a minor update broke it[1]
Have not been back since
Like you, I want to like it / use it ... but it simply takes too much mental space on top of the other social media / comm channels I use (professional and personal)
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[0] https://antipaucity.com/2019/02/07/sweetree-ga-the-newest-ma...
[1] https://antipaucity.com/2019/07/16/goodbye-self-hosted-masto...
No more, no less
How much work you put into it matters not to a buyer
All that matters is how much value a buyer thinks it will yield them
Some things cost less than others
AWS (and every other cloud provider I can think of) does this with their pricing - bandwidth (fully-internal, cross region, external...), compute (EC2, Lambda...), storage (S3, EBS, local NVMe...), and more
Sounds like you have now gotten a clearer mechanism to understanding usage, so you can maximize your utilization, and you want to have an opaque view instead
So I would spend 0 minutes
And not just because I am not especially close to a 'coding' or 'developer' role in my IT career
But because they are all* a complete and utter waste of time
Unless you mean a whiteboarding session in an in-person interview, where you see approaches to problem solving, swags in the direction of an answer, refinement of the problem statement, etc - those I spend 15-20m on (out of the 45-60m interview session)
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* maybe there is a coding assignment that is not a waste of time, but I have never in my well over 20 years in IT seen it
Not on passenger tickets
- place your right hand on the right wall - walk forward, never letting your hand leave the wall - arrive at the exit
yes, you travel many dead ends along the way
but you are guaranteed to get to the end of a 'traditional' maze
Presuming these are 'typical' mazes (like you find in a garden or local corn field in late fall), why not have the bot run the known-correct solving algorithm (or its mirror)?
I can not begin to imagine how devastated his family is over all of this - how many ways and times they will ask themselves, "what could we have done differently?"
LLM-based tools like ChatGPT and Grok etc can be fantastic - when used well
And absolutely horrible if used badly
As they statistically respond to prompts and responses, spitting out text from their vast libraries, negative prompting will - inevitably - lead to negative text generation
You have probably heard of the 7-38-55 Rule [0] (some round and call it the 60-35-5 rule) which observes well under 10% of communication is via the words used - body language, the biggest component, is completely absent in a tool like a chatbot. Tone is [nearly] undeterminable in pure text - take, for example, Harrison Ford reading the opening words to "The Cat in the Hat" in Patriot Games while his daughter is in the hospital after the car crash: that is a "fun" book, yet the way the opening is read is very ominous.
Chatbots, like text messages, IMs, email, etc, have tone assumed by the other party: if the person interacting is in a good mood, even if talking about sad/negative things, the inferred tone in the bot's responses are going to be very different than if the person interacting is in a foul mood of some kind.
Combine that with how relatively easy it is to manipulate the prompts to get different results (even when "asking the same thing" (eg "how many b's are in blueberry" vs "how many letters b are in the word blueberry" [1])), and these generative engines - while, again, amazing tools - are triggered through their algorithmic matrices to produce whatever they have been 'trained' to produce.
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[0] https://www.masterclass.com/articles/how-to-use-the-7-38-55-...
No
He just understood how to ask for non-classified information, collate various and sundry ideas, and write well