“AI can make mistakes” might as well be the slogan of our era.
-
“AI can make mistakes” might as well be the slogan of our era. Even boosters admit that you need to spin the vibe code slot machine a few times to get a jackpot.
An employee with that degree of consistency would be fired.
So how do we redirect some of that unlimited grace from machines to humans?
Corporations demand perfection from workers, but AI gets unlimited slack.
LLM users have bottomless patience for inconsistent tools, and no grace left for their colleagues. What if we could flip it around?
The Product Picnic (productpicnic.beehiiv.com)
If you liked the article, why not subscribe?
⸻
Thanks to @AstroKatie @mlevison @mhoye @Supercamilla @baldur @acuity.design @sophie @beep and everyone not yet on Fedi for the ideas and writing in this week's issue of the Product Picnic. -
“AI can make mistakes” might as well be the slogan of our era. Even boosters admit that you need to spin the vibe code slot machine a few times to get a jackpot.
An employee with that degree of consistency would be fired.
So how do we redirect some of that unlimited grace from machines to humans?
Corporations demand perfection from workers, but AI gets unlimited slack.
LLM users have bottomless patience for inconsistent tools, and no grace left for their colleagues. What if we could flip it around?
The Product Picnic (productpicnic.beehiiv.com)
@PavelASamsonov I used it for a very basic task prepping for a meeting last week, one I had to repeat a few times since I was individualizing something for each of my teammates.
Exact same prompt.
Six different products produced by it,.
It's just too imprecise to trust with anything important.
-
R relay@relay.an.exchange shared this topic
-
“AI can make mistakes” might as well be the slogan of our era. Even boosters admit that you need to spin the vibe code slot machine a few times to get a jackpot.
An employee with that degree of consistency would be fired.
So how do we redirect some of that unlimited grace from machines to humans?
Corporations demand perfection from workers, but AI gets unlimited slack.
LLM users have bottomless patience for inconsistent tools, and no grace left for their colleagues. What if we could flip it around?
The Product Picnic (productpicnic.beehiiv.com)
@PavelASamsonov @baldur Step one is to stop anthropomorphising LLMs.
LLMs can be wrong. The algorithms cannot ‘make a mistake’. They’re just wrong.
-
@PavelASamsonov @baldur Step one is to stop anthropomorphising LLMs.
LLMs can be wrong. The algorithms cannot ‘make a mistake’. They’re just wrong.
@octothorpe @PavelASamsonov @baldur
*Everything* Generative AI models produce is hallucinations. Some happen to look like reality. Fewer still actually match reality.
-
@octothorpe @PavelASamsonov @baldur
*Everything* Generative AI models produce is hallucinations. Some happen to look like reality. Fewer still actually match reality.
@JeffGrigg @PavelASamsonov @baldur but it’s not a hallucination. That’s anthropomorphisation.
The algorithms generate code that may or may not run in the way you expect.
It doesn’t think. It doesn’t get high and see trails and a unicorn wearing a hat.
-
“AI can make mistakes” might as well be the slogan of our era. Even boosters admit that you need to spin the vibe code slot machine a few times to get a jackpot.
An employee with that degree of consistency would be fired.
So how do we redirect some of that unlimited grace from machines to humans?
Corporations demand perfection from workers, but AI gets unlimited slack.
LLM users have bottomless patience for inconsistent tools, and no grace left for their colleagues. What if we could flip it around?
The Product Picnic (productpicnic.beehiiv.com)
@PavelASamsonov ultimate answer: democratic control of the means of production
the managerial class will not (as a whole) give as much slack to humans because we cost more.
-
“AI can make mistakes” might as well be the slogan of our era. Even boosters admit that you need to spin the vibe code slot machine a few times to get a jackpot.
An employee with that degree of consistency would be fired.
So how do we redirect some of that unlimited grace from machines to humans?
Corporations demand perfection from workers, but AI gets unlimited slack.
LLM users have bottomless patience for inconsistent tools, and no grace left for their colleagues. What if we could flip it around?
The Product Picnic (productpicnic.beehiiv.com)
@PavelASamsonov The five sentences following the heading "Empathy for Colleagues"... those *particularly* are hitting me right in the feels just now. Thank you.
-
@octothorpe @PavelASamsonov @baldur
*Everything* Generative AI models produce is hallucinations. Some happen to look like reality. Fewer still actually match reality.
@JeffGrigg @octothorpe @baldur I first read this from @tante and I think even featured it in the newsletter at some point - the article even considers that "hallucination" is still anthropomorphizing what LLMs do.
It's all hallucinations
The discourse on “AI” systems, chat bots, “assistants” and “research helpers” is defined by a lot of future promises. Those systems are disfunctional or at least not working great right now but there’s the promise of things getting better in the future. Which is how we often perceive tech to work: Early versions might be […]
Smashing Frames (tante.cc)
-
@PavelASamsonov ultimate answer: democratic control of the means of production
the managerial class will not (as a whole) give as much slack to humans because we cost more.
@bug Yep! There's another study I came across after the issue was already drafted: LLM use correlates to less collaboration between people, and therefore dissolves the ties that could lead to horizontal power.
-
@PavelASamsonov The five sentences following the heading "Empathy for Colleagues"... those *particularly* are hitting me right in the feels just now. Thank you.
@kagan My most controversial spicy hot take is that we should be nice to the people we work with.
-
R relay@relay.publicsquare.global shared this topic
