While it is nice to think of better futures for coming generations, I think we (reading this) also have to think about our more immediate work, as in next 2-5-10 years.
107 karma · joined April 14, 2026
While it is nice to think of better futures for coming generations, I think we (reading this) also have to think about our more immediate work, as in next 2-5-10 years.
Industrial and technological progress has birthed better conditions overall, but at a cost of locally worse ones. Mine workers that got displaced didn’t end up being machine operators - most of them landed on benefits or sporadic gig work. Only the next generation was able to be properly trained and educated to be able to benefit from the technological advancement en masse. And we might see that happening again.
Can’t wait for the onslaught of opinion pieces on “Has dynamic pricing fixed wage inequality” or similar. Less discrimination if an airplane ticket always costs 300$ or 3% of your monthly salary, whichever is higher.
This seems like a much smaller problem than the title would suggest. I agree Booking fraud is worth tightening but hardly anu automate system would flag a listing that was open for 20min only, as the calculated risk/impact to users would have been very small.
But these problems would likely be self-resolving in most cases as the crypto pot owner would simply rug-pull everyone.
That’s what I’m talking about, not AI use in general.
The article refers to different AI features within other apps (e.g. search overviews in google, summarize email, summarize message) that bring no benefit to the user but only clutter.
I think everyone is fine with using their AI of choice to do their tasks of choice. It’s when I see a button that obstructs my workflow prompting me to do something I don’t need to with a shitty model that’s not good at it.
Companies forcing features that nobody wants, but that are also expensive to operate and cost real money to run? Market can definitely stay irrational for long.
It’s a bummer (albeit an expected one) to see Apple reducing the burden for third-party publishers to collect personal data, rather than increasing the burden for themselves to collect it, thus overall raising the floor of user privacy. This is to say, when a regulator requests “everyone be treated equally to ensure competition” maybe they should also take into account how users are impacted and instead request something more nuanced like: if there are unequal standards, they must be equalized in a way that maximizes user benefit.
And yes you can prompt it to take it easier as you’re not experienced in this, but it’s usually a boiling frog situation. You work on something, need a small thing ajdecent to it, and three messages deep Claude is speaking to you in tongues unbeknownst. You knew what was happening at every turn but still got lost somehow.
However, if there is no systematic difference between regular use and “distillation use” then they need to establish intent, which is laughably hard if you cannot even distinguish use cases.
Hence the call to make it illegal too (and just against ToS). Because if it is illegal, then they can rely on US to enforce the law. And the US, for a lack of technical solution, can use the good old “China bad” shortcut.
“Jensen’s job is to just be one step ahead of the market” — how is that a “just”? That’s arguably one of the most difficult things to do reliably (judging by how much payout it can give you). Feels like saying he’s making “just” billions of dollars.
I see a lot of comments (incl 2 sibling comments) are always discussing whether there is a moat on AI. We agree there is no technical moat, there is nothing that Anthropic or any other AI lab could do that wouldn’t be quickly offered by other competitors too. However, _market penetration is the moat_. The deeper Anthropic is in relationships with orgs, the higher the cost of switching. Sure, for an individual it’s a 2-second job, but for a business it’s actual work of changing permissions, provisions, updating vendors etc. Nothing catastrophic but still real work, implying that Anthropic would need to drop the ball significantly to be swapped out, and wouldn’t be just because there’s a competitor who does everything kinda the same for kinda the same price (or slightly less).
Moat can be in execution and not just in technology. McDonalds has no specific burger-making technology that no other restaurant can acquire, what they do have is a well-scaled execution. Sure, there are competitors, and sure there are new comers to the burger space with different recipes (e.g. smash) but that doesn’t mean McDonalds is going under. Market penetration is the moat.
The specific cases you mention and the finer point is how do you demonstrate the necessity of a measure? Is high general IQ absolutely necessary for SWEs? Or is it enough to have a high logical reasoning, but don’t need spatial? Do you really need high IQ or is it enough to have a lot of practical experience with hands on skills? Do you need higher IQ to do zero to one development vs code maintenance? The devil’s always in the details with these kinds of questions, and it’s definitely not a blanket “you can’t use anything”.