Former shopify employee here. Tobi is scum, and surrounds himself with scum. He looks up to Elon and genuinely admires him.
Shopify CEO Tobi Lütke tells employees to prove AI can’t do the job before asking for resources.
Submitted 1 year ago by Tea@programming.dev to technology@lemmy.world
Comments
Keener@lemm.ee 1 year ago
Paradox@lemdro.id 1 year ago
Shame, because I used to actually admire how he handled layoffs. Was a far sight better (from outside looking in) than the “thanks, here’s one extra paycheck, send your laptop back at your expense please” I’d experienced
nectar45@lemmy.zip 1 year ago
Uhm…but like…at the moment you cant really trust ai to do ANYTHING alone
ogmios@sh.itjust.works 1 year ago
A lot was invested on the promise of AI, only to discover that it’s not capable of becoming this “super intelligence” people were banking on.
jubilationtcornpone@sh.itjust.works 1 year ago
They were going for “super intelligence” and instead they got Cliff Clavin from Cheers.
“It’s a little-known fact that the tan became popular in what is known as the Bronze Age.”
nectar45@lemmy.zip 1 year ago
Not until they find a way to properly simulate emotions on it
Gonna take a while for that
besselj@lemmy.ca 1 year ago
What these CEOs don’t understand is that even an error rate as low as 99% for LLMs is unacceptable at scale. Fully automating without humans somewhere in the loop will lead to major legal liabilities down the line, esp if mistakes can’t be fixed fast.
CosmoNova@lemmy.world 1 year ago
Yup. If 1% of all requests result in failures and even cause damages, you‘ll quickly lose 99% of your customers.
VanillaFrosty@lemmy.world 1 year ago
It’s starting to look like the oligarchs are going to replace every position they can with AI everywhere so we have no choice but to deal with its shit.
NuXCOM_90Percent@lemmy.zip 1 year ago
…
What error rate do you think humans have? Because it sure as hell ain’t as low as 1%.
But yeah, it is like the other person said: This gets rid of most employees but still leaves managers. And a manager dealing with an idiot who went off script versus an AI who hallucinated something is the same problem. If it is small? Just leave it. If it is big? Cancel the order.
taladar@sh.itjust.works 1 year ago
The error rate for human employees for the kind of errors AI makes is much, much lower. Humans make mistakes that are close to the intended task and have very little chance of being completely different. AI does the latter all the time.
FourWaveforms@lemm.ee 1 year ago
Error rate for good, disciplined developers is easily below 1%. That’s what tests are for.
oxysis@lemm.ee 1 year ago
I mean it is also generous to the Artificial Idiot to say it only has a 1% error rate, it’s probably closer to 10% on the low end. Which humans can be far better than in terms of just directly following the assigned task but does not factor in how people can adapt and problem solve. Most minor issues real people have can be solved without much of a fuss because of that. Meanwhile the Artificial Idiot can’t even draw a full wine glass so good luck getting it to fix its own mistake on something important.
ogmios@sh.itjust.works 1 year ago
A human has the ability to think outside the box when an unexpected error occurs, and seek resolution. AI could very well just tell you to kill yourself.
avidamoeba@lemmy.ca 1 year ago
Jesus fucking Christ.
jordanlund@lemmy.world 1 year ago
Dear Tobi Lütke - AI can do your job too. Care to comment?
CarbonatedPastaSauce@lemmy.world 1 year ago
If you work there, run away fast.
darkpanda@lemmy.ca 1 year ago
Dev: “Boss, we need additional storage on the database cluster to handle the latest clients we signed up.”
Boss: “First see if AI can do it.”
ramielrowe@lemmy.world 1 year ago
A coworker of mine built an LLM powered FUSE filesystem as a very tongue-in-check response to the concept of letting AI do everything. It let the LLM generate responses to listing files in directories and reading contents of the files.
NuXCOM_90Percent@lemmy.zip 1 year ago
Currently the answer would be “Have you tried compressing the data?” and “Do we really need all that data per client?”. Both of which boil down to “ask the engineers to fix it for you and then come back to me if you are a failure”