Back to News
Advertisement
Advertisement

⚡ Community Insights

Discussion Sentiment

83% Positive

Analyzed from 291 words in the discussion.

Trending Topics

#enough#makes#more#tech#while#still#trillion#number#labour#fungible

Discussion (9 Comments)Read Original on HackerNews

classictrafficabout 2 hours ago
To the author’s point about there not being enough evidence to support pro-AI claims — Additionally, there are studies and articles coming out showing those people are wrong and AI only makes people barely more efficient. Not the 10x tech CEOs are claiming while slashing thousands of jobs

https://getdx.com/blog/ai-productivity-gains-are-10-percent-...

E-Reverance43 minutes ago
(March 2026)
E-Reverance38 minutes ago
I think the fundamental rebuttal to this is merely that, we’re still so early, the $1.5 trillion number is irrelevant for developing technologies in the same way two women can’t birth a baby in 4.5 months
CoolestBeans34 minutes ago
The $1.5 trillion number is extremely relevant because it makes the revenue numbers the industry has to hit higher and there's an expectation to see progress sooner before funding starts getting pulled back.
twelve4034 minutes ago
Yes, that's going on optimism. It's also possible that we're 80% there and the rest will take forever, while the loans and investments were taken out now.
smokedetector1about 2 hours ago
idk. I get more stuff done, faster, that I wouldn’t have been able to. You have to use it judiciously and with supervision - I can see how letting it get out of control would negate the benefits. But with good use, its undeniable.
twelve4037 minutes ago
the decision i have to make dozens if not hundreds times a day: do i actually look at this crap or trust it blindly and let it slide? I'm honestly reading maybe 20% tops of what "I" produce (and what other people post for my review) I think you do lose skills and understanding that way. Sure, you can always ask the robot to do the tldr for you, but.... yeah, something is still lost, not in a good way.
8note25 minutes ago
are open ai, anthropic, zai, deepseek, cursor etc not new players? that benchmark seems like one defined to never be good enough
thataccountabout 7 hours ago
>The not-so-quiet goal of the LLM push by big tech was to homogenise intellectual labour such that it can be made fungible. When labour is fungible you can swap it out whenever you like for an alternative, decreasing the bargaining power of workers.

Especially if you replace people with robots that don't need days off and have the people train their replacements.