Hansenq
Joined 13 years ago
Joined 13 years ago
It's quite tragic that they felt the need to lean into this treatment and quite tragic that they were led on. Just a sad story all around.
But we'd like to think the crowdsourced editing process gives it some more trustworthiness than a random person self-publishing a book
Though that does raise an interesting point: what's the difference between writing a book about someone and asking ChatGPT "Tell me the biography of X"? It's the historical meaning and prestige of saying "I wrote a book", even though with Amazon, anyone can write a book and self-publish it.
> Eamon Duede, a philosopher of science at Purdue University and one of the authors of a paper called “Why Slop Matters,” said A.I. brought joy to people who wanted to create something that very few other people would find interesting — like images of their friends in historical scenes.
> “People get an enormous amount of enjoyment and satisfaction out of creating stuff if it’s low effort,” he said. People who want to be creative, but might not be very good at it, can turn to A.I. and find “a bunch of barriers removed.”
I think there needs to be a different frame with which to analyze this scenario. Yes, it's distasteful to sell a book about a living person without their consent. But who are we to deny people the enjoyment of entertaining themselves by researching, brainstorming, and publishing a document/report/book, whatever you want to call it?
I'm glad the author mentioned it in the article, but it's definitely a different world now.
My understanding is that Pangram is the best out of all of the AI detectors and if there is a better one I'm happy to switch to it. And it's easier to point to them than to give explicit sentences and examples about why it reads so AI-generated (and since you want it, it's these sentences in particular: "The message was unambiguous: energy is finite, security is earned, and comfort has a cost.", "That template is being applied again today — and markets have accepted it.", "One country never made the West’s mistake.", etc.)
Reading through it again, there are so many emdashes. And don't get me wrong, I was a liberal user of emdashes before AI! But just like, if your job is to communicate your thoughts to a wide audience at least respect their intelligence enough and not rely on crutches just to get an article out against a deadline.
c'mon, you're Carlyle, a trusted institution for financial advice! How can I trust what you're saying if the AI-generated text is so blatantly obvious?
Why would SpaceX be any different? If anything it would be even more disconnected from the fundamentals than Tesla is, given how much more control it gives Elon.
SpaceX stock is a bet on Elon, full stop. It has nothing to do with space, data centers, AI, or whatever technology they're currently working on; it's a bet that Elon will figure something out.
(and if you need any example of this, just look at Twitter--he engineered an exit for his X shareholders at a higher valuation [at the expense of SpaceX, but a positive exit nonetheless])
I think this is a disconnect between people who think that large companies are static entities with established products vs. large companies that still operate like a startup and are trying to grow. When you're building your business from $0 in revenue, you don't know what will work! You try different things, you [launch over and over again](https://www.ycombinator.com/library/6i-how-to-launch-again-a...)...all in hopes of something that works, sticks, and starts to grow.
In every example here, I see OpenAI trying something new, hoping it will grow, and shutting it down after it doesn't. Sora is the pre-eminent example of this. They make news, but you don't talk about the things they launch that successfully grow!
OpenAI isn't shutting down Codex or ChatGPT, because those were launches that they did that actually worked! When you go look at the tweets and communication from OpenAI employees when ChatGPT launched, nobody was sure that it would work. But it did. And if they hadn't launched, we would have never known how valuable it was.
All that is to say...you don't know what will work until you launch. Most things fail, and it's correct to shut them down. But focusing on the products that haven't worked instead of the products that have gets you more clicks, but actually depresses innovation by making future launches less likely.
Scott said: "It took time to negotiate, because we wanted to own the consumer data, and at the beginning, Starlink did, so that was hard, and then, the other thing was I wanted to let my big competitors in the United States finish their deals with other providers and get locked in so that we would — eventually, everyone’s going to have Starlink."
Brilliant. Just brilliant. Ensured that UA would be first (of the 3 major US carriers) to Starlink and that everyone else had to wait until their existing agreements multi-year expired before switching. UA's best CEO in decades!
https://stratechery.com/2026/an-interview-with-united-ceo-sc...
So the best I've been able to do is a regional flight to a UA hub near me, and then a non-regional flight back to my home airport. Which is honestly probably not worth it. And it's definitely not worth doing a two-stop trip so I'm really excited for them to roll it out on their mainline jets!
I would say this behavior now no longer passes the Turing test for me--if I asked a human a question about code I wouldn't expect them to return the code changes; i would expect the yes/no answer.
"Can we make the change to change the button color from red to blue?"
Literally, this is a yes or no question. But the AI will interpret this as me _wanting_ to complete that task and will go ahead and do it for me. And they'll be correct--I _do_ want the task completed! But that's not what I communicated when I literally wrote down my thoughts into a written sentence.
I wonder what the second order effects are of AIs not taking us literally is. Maybe this link??
> The statement added, “After investigating, we can say with full confidence that no user inputs past July 3rd could have influenced this system in any way.”
It's great to hear that they've investigated and concluded there was zero change Tristan's prompts made it into training data for the model that solved NS.
It would have been better for them to have done this before they announced the NS solution, so that two days' worth of misinformation would not have spread wildly.