If you’re having to explain an existing problem with edge cases, then sure, the context window needs the edge cases defined as well.
1,151 karma · joined July 29, 2022
If you’re having to explain an existing problem with edge cases, then sure, the context window needs the edge cases defined as well.
Think about it, how much marginal influence does it really have if you say OP’s version vs a fully formed sentence? The keywords are what gets it in the area.
Yet somehow the AI knows a treatment?
We really need a human-human dispute where human A used AI to make a work and claims copyright and human B disputes the copyright. That’s the kind of case that would get into the standards for necessary human input.
Not sure if anything like that’s been filed yet.
(No)
If you dislike managers generally, why would you think Amazon is firing them for all the reasons you personally dislike them as a class?
What is Amazon’s actual motive here?
But I’ve also never met or heard of a $200k household that I wouldn’t consider “well off”. Typically, stories about these “not well off” yet “over double the median income” households are budgeting issues.
People don’t like to admit that because most people blame external forces instead of evaluating their own choices.
Here, it doesn’t sound like the features promised were truly demo-able, and when they were they were “not working properly up to a third of the time”.
Having a random CRUD MVP that is 2/3rds done is different than having a SOTA LLM implementation only being 2/3rds reliable. It is a vastly different problem to get from there to the finish line.
But I think marketing types would be equally likely to make promises in both scenarios.
…but I haven’t joined a new company since LLMs were a thing. How often is this use case necessary to justify $Ts in investment?
Everything has some imperfection, so LLMs are just fine... Completely missing the totally valid criticisms people have of the systems.
Source? A quote? Or are we just making up historical strawmen to win arguments against?
Nothing in the article suggests calling a candidate cupcake, etc. The subjects of the article are super understanding - allowing people to continue in an interview process despite seeming to not know the native language.
What is the motivation for making up wacky hypos to discredit the relatively trivial suggestions in the newsletter?
Been a thing since 1986 https://www.wikipedia.org/wiki/Form_I-9
What is the purpose of this argument other than to justify deceit?
But, narrowing to just “productivity-wise” is moving the goalposts. I want to work with honest people full stop.
The phrasing you use is all marketing. When people share actual chat threads that they claim helped them, they always have the same issues I observe in my own use.
It honestly sounds like a cult where I don’t know how to read the tea leaves and believe enough. I’ll pass happily and be so self limited :)
When AI is actually useful, there won’t be a debate.
It gets collected and tallied by an intern who probably isn’t even paid. The tally is then reported for the day to an actual staffer who may or may not bother mentioning it to the rep that day.
The app economy sucks.
People pasting full llm outputs into help forum responses has been one of the most annoying trends.
If you can’t do more than what a llm would say, you’re already replaceable.
Even AI marketing doesn’t claim this. Totally baseless claim given how many people report negative experiences trying to use AI.
On the level of suggesting suitable alternative ingredients in fruit salad.
We should really stop insulting the intelligence of people to sell AI.
Thing is, I’ve never met someone in software with a professional license.
Do accredited investor regulations not apply to this market? Is the crypto token a registered security since it apparently represents stock in a company?
I’m turned off because it sounds like the company wants to play fast and loose with money in a way that is more than just “move fast and break things”.