I'm an electrician.

[nomenloony@nomenloony.com]

@dan @hans_zelf @cyplo it's just an absolute mess. I don't even know what the black wire is about - that would be L2 from a three phase system and never appropriate in a single phase plug.

[nomenloony@nomenloony.com]

@purplewolfboy clearly put in using a drill. Likely the one they used to bore the channel tunnel.

[nomenloony@nomenloony.com]

@evcricket ironically, neither does AI since the fuse isn't actually in-line with the flow of current. Thankfully it remembered the live to earth short circuit.

[halaana@mastodon.social]

@evcricket @nomenloony I think it's because they often use ring circuits rather than radial circuits.

[aapis@mastodon.world]

@nomenloony @Lazarou i'm not an electrician but that ain't right

[sloanlance@mastodon.social]

@nomenloony
Wires all over the place and no mention of the mysterious grey wire.

[aaron_david@universeodon.com]

@nomenloony

[raineer@frontrange.co]

@drahardja @skyfire747 @nomenloony @blogdiva

My favorite quote about LLMs is that they are extremely effective for people who already are domain experts on the topic

The UX fail of the century is for every one of these companies to not append “teach me how I would verify this is true?” to every single prompt.

The skill it takes to use the tech is higher than the avg user is going to invest. Every single maker of chatbots has ignored this from day one.

[szescstopni@circumstances.run]

@nomenloony That's the cost of progress This is the reason why I don't use any LLM tools (except for the ones that do what they were made to do – natural language translation, and I always check the output).

[groupnebula563@mastodon.social]

@nomenloony yep, that’ll kill you. and probably blow every fuse within a 30 mile radius

[masukomi@connectified.com]

@BigD @nomenloony it is really just highly advanced autocomplete. It’s not that the data it’s trained in is right or wrong. It’s that the sequence of words is statistically likely to follow the input you provided. That’s it. It’s just vector math determining likely next words in a sequence

[parsingphase@m.phase.org]

@nomenloony Fucking hell!

[humanhorseshoes@mastodon.world]

@nomenloony All they missed was putting a 31 amp fuse in it

[dacig@mastodon.social]

@knowprose @drahardja @skyfire747 @nomenloony Feeling lazy? Use AI.

[alterelefant@mastodontech.de]

@skyfire747
It most likely takes hundreds of thousands of people somewhere in India whose full-time job it is to manually curate and correct the output of only one of the major #ai models.

#MechanicalTurk
https://en.wikipedia.org/wiki/Mechanical_Turk
@nomenloony

[vosje62@mastodon.nl]

@eliasp @drahardja @skyfire747 @nomenloony
And as ai doesn't understand that people warn others about AI errors, AI thinks it is right..

When you check dossiers over time, you will find that errors get much more attention -as they have to be corrected-. Just skimming the subjects can lead to wrong (opposite) conclusions.

[alterelefant@mastodontech.de]

@fiend_unpleasant
What could possibly go wrong?
@eliasp @drahardja @skyfire747 @nomenloony

[madengineering@mastodon.cloud]

@nomenloony Remembering that Tumblr bit with that banger of a line:

"But you don't care for power safety, do ya?"

[knowprose@mastodon.social]

@dacig @drahardja @skyfire747 @nomenloony feeling lazier? Get another ai to prompt the ai.

[jeffmcneill@hachyderm.io]

@drahardja @skyfire747 @nomenloony that's the problem with content in general, unless using actual experts, which Google pushes down the page because that makes it more lucrative for them, showing more ads.