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Charity Majors x.com
i wrote a post about the growing divide between AI skeptics and AI enthusiasts. wins and costs are both real, but too often fall on different groups of people. when you're only experiencing half the story, it's too easy to write each other off.
The the words it uses that this site has seen least often elsewhere. Posts are matched on those words alone — nothing here is a summary of this one.
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18 September
16 September
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Their words
This is why they will fail. They are not nation-builders; they will always splinter, divide, and find new internal enemies to attack.
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korrents.com
The New Right’s inability to build alliances and coalitions will ultimately doom it as a nation-dismantling fringe.Their words
It’s this pathological inability to understand alliances and coalition-building that will ultimately doom the New Right. Like the far Left, this is a movement built to exclude and divide and splinter — both because of the querulous personalities of rightists themselves, and because of the intransigence of a racial ideology that abhors any impurity.
15 September
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Nobody knows for sure. We're in uncharted waters here, and I think even the LLM skeptics would have to say that the technology has taken us far past what many originally thought possible.
14 September
11 September
10 September
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From an investment viewpoint, the opposite of the safetyist view is "it's all a bubble," not "A.I. is going to be really good."
3 September
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if you if you divide the YC up into little bits where each startup is part of a pod of 70 startups, then it's just like they were back in 2012 when there were 70 startups.
12 August
From one piece Stop being skeptical about AI for development with Charity Majors 2 beliefs, in the piece's order there
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Their words
One of the things that's ironic though is that both of these sides feel like they are the tiny minority and they're outmanned and they're being suppressed and they are standing up for what is truth and valor in the face of the big AI folks or the big skeptics.
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korrents.com
Neither the AI enthusiasts nor the AI sceptics are making it up; both camps are looking at real trends.Their words
See, the problem is that neither side is making it up. Like they are seeing really scary trends.
27 July
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Their words
the opposition to adjustments is entirely instrumental: climate skeptics like the results that the raw, biased data give them for the US, and they don't like the results that bias-corrected data give them.
10 July
1 July
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So beforehand because of this social divide between programmers and testers. There was a lot of incentive for the testers to have their own language. This is my tool. I know how to run it. I'm going to run it.
2 June
20 May
18 February
17 February
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I initially assumed this was a temporary divide. New users tend to watch closely and check the system's progress, but as trust builds, that scrutiny fades and monitoring starts to feel like a chore. Yet it still seems like there's two camps (for now).
24 April 2025
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Their words
Finally, I’ll explain a deeper issue with the whole idea: we can’t neatly divide the causes of an outcome into slices that add up to 100%.
1 January 2025
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Their words
Q3 2024 had the rate 8.9% so there is no way it can reach 30% in 2027. I was way too optimistic at a time when EV enthusiasts thought I was horribly pessimistic.
7 October 2024
21 April 2023
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