So this is weirder than it looks at a glance.
That is not an LLM-generated search result. That is a funny ha-ha mistake a LLM made that then some guy compiled in his blog about AI.
Google then did their usual content-stealing thing, which probably does involve some ML, but not in the viral ChatGPT way and made that card by quoting the blog quoting the LLM making the mistake. And then everybody quoted that because itβs weird and funny and it replicates all the viral paranoia about this stuff.
Is this how we beat the AI invasion? Data poisoning with memes and jokes?
I mean, as long as you are ok with also nuking all search engines.
To be honest, text chatbots have done very little to move the needle one way or the other, and all search engines are barely usable right now, chatbots or no. I had some hopes for an AI implementation with speciific training on how to parse search results, but all weβre getting is the first couple of results read back to us.
So yeah, I get that people needed a new bad guy after crypto imploded, but itβs a shame that the discourse became what it is, in that it both fails to pay off on tech that is actually pretty cool when used right and it leaves a lot of old tech that is getting noticeably worse off the hook.
Hubspot AI chat bot told me to go three levels deep into a menu that doesnβt exist, to click a button that doesnβt exist to enable a service that doesnβt exist to solve a problem I had.
My company pays a 5-figure yearly sum for this service π
The way it was going, I thought you were going to solve a problem you didnβt have. Would be fitting.
maybe I should start asking it impossible questions
βhow do I stop contacts from enabling the email flange during the squeej phase of marketing?β
edit: gottem lmao
Is there a uBlock filter list for AI SEO websites? If not then I guess I should make one, it would make my life so much easier especially when looking for a product
For niche topics, search engine AI is less than worthless. It produces an unacceptably high proportion of misinformation.
This joke is really old now.
And yes, even if such mistakes are funny at first glance, it doesnβt change the fact that the field of AI has developed incredibly in the last year. And this development actually has the potential to completely change our economy. And not only that.
No, Iβm not fun at parties.
I mean itβs already impacted our economy, a lot of businesses have hemorrhaged money on it: https://siliconangle.com/2023/10/09/report-big-tech-firms-still-struggling-monetize-generative-ai-services/
A lot more companies are making and saving quite a lot of money because of it
People downplaying the value of AI are like people in 1993 talking about how the Internet is just a playground for nerds.
Most companies are still piggybacking off of big tech because of the scale of LLMs. If big tech companies are having problems then everyone else will sooner or later. The more simple ones can probably be done on worse machines but not all and certainly not something on the scale of ChatGPT
Ah yes, the trend of every new technological development ever. Apparently investment is βhemorrhaged moneyβ until itβs profitable.
And then it will only be profitable for a time until the people have no money to spend cuz no jobs.
You didnβt even bother reading it. This isnβt counting investment, itβs straight up losing money right now, not counting investment. Microsoftβs customer model charges $10 a month/user to use it and itβs turned out to cost $30 a month/user. The other big firms are seeing similar costs.
These LLM require huge amounts of processing, then when your users are spending resources to do very simple tasks, which is basically all the models are useful for right now, it costs a stupid amount of money to do stupid things.
This is not to say that it cant be useful in the future, or smaller purpose built models canβt be useful. But these vast generic models literally hemorrhage money as it stands.
Listen here, robot: Reminder that the Nothing forever hiccup just happened in February of this year. And struggles with POC facial recognition has been a source of discrimination still even now. Youβre really trying to sell yourself as better than you are, AI. But you Canβt fool me.
also, no one said the AI that is going to replace everyoneβs jobs and kill the economy because we donβt have a society or economical system that can survive that amount of job losses inside of it was going to be good, or accurate.
the goal of ai isnβt to be good or accurate, itβs to seem plausible.
Lemmy is the worst place to get your information on the field of AI or really tech in general lol. βTechnologyβ is a bad word and the only upvoted posts are just false confirmation bias that tech corporations are in some sort if imaginary βdeath spiralβ.
Dude for real. Even the βtechnologyβ community is just people shitting on everything from eVTOLs to AI, should be called c/luddites instead.
Most of lemmy doesnβt even understand how this shit works let alone has the knowledge to be an authority on it. Thereβs constant βoh this is going to make the company go under, stupid AI canβt possibly take our jobs!β Nonsense. Yet the cash keeps rolling in and AI becomes more and more integrated into every company.
Hell our cloud engineering team is currently building an in house model to assist data entry level workers with accessing the necessary data they need to do their jobs, and my team has used it to set up automated SFTP backups of our network gear.
Itβs not going anywhere, and whenever someone says itβs useless because you can mislead it intentionally, or that itβs just a gimmick cause they βcanβt see what itβs good for,β itβs a safe bet theyβre just some gig economy worker who canβt conceive of a world outside their bubble.
Cash keeps rolling
That has been because of the liquidity. Now see what happens as liquidity dries up.
