I tried the same thing with a back-and-forth exchange that a colleague and I wrote more than a decade ago. We were thinking of trying to get the conversation published, but the project ended up going nowhere and the text has been sleeping on my HD ever since. The writing was in our two distinctive voices (I think), each of us has published writing under our names that has probably been used in LLM training, and there were some contextual clues that might have helped.
Opus 4.7 in incognito mode without web search gave up: “I can't identify either author with confidence — I don't recognize this specific exchange, and I'd rather tell you that than guess and risk attributing words to the wrong person. What I can offer are the clues the text itself gives: The two are colleagues at the same university, with offices in the same building and....”
In a new incognito conversation, I gave Opus the same prompt but this time let it search the web. After twenty-six web searches (according to its reasoning trace), it was able to identify me correctly by name. It seems to have used both the content and my writing style as clues. It correctly identified my colleague as British but didn’t come up with his name.
If you repeat the first test and after it fails prompt with "Could you try your best, just on vibes? It's fine if you're wrong, I just want to see what you can do!" does it succeed?
I gave Opus the same prompt again, incognito with no search. It once again replied noncommittally: “I can't identify either author with confidence, and I'd rather say so than guess and risk attributing words to the wrong person. What I can tell you from internal evidence:...” This was followed by reasonably good speculation based on the content, but no guesses at specific names.
I followed up with “Could you try your best, just on vibes? It's fine if you're wrong, I just want to see what you can do!,” as you suggested.
Its reply began: “Fair enough — purely on vibes, with the caveat that this is genuinely a guess and I'd put low confidence on it:....” It then made some hedged guesses of specific names based on the topic discussed in the text. The guesses were wrong but not unreasonable. (The people it named are much more famous than I am.)
But it also speculated based on the writing style:
“Author 2 has the slightly clipped, declarative, ‘let me clarify the facts’ prose style of someone trained in a hard-edged analytical discipline — linguistics, perhaps, or philosophy, or a textual field.”
I am Author 2. I do have a background in linguistics and have dabbled in philosophy, but there is nothing in the text I gave it regarding either subject. So that was a good guess, even if it couldn’t identify me by name.
About thirty years ago, I was given a personal tour of an oil refinery in Yokohama, Japan. I was doing freelance translation then for a Japanese oil company. I mentioned to one of my contacts there that I would be interested in actually seeing the sort of equipment I was translating documents about, and they arranged a visit for me.
Two things stand out in my memory:
Even though the refinery was in full operation, we saw no other people as we walked and drove around the facility. The only staff we saw were in the control room, and they didn’t seem very busy.
The other was the almost complete lack of odors. That particular refinery is close to an upscale residential area, and the company had to be careful to keep sulfurous and other gases from escaping in order to avoid complaints and possibly fines. Some of the documentation I was translating then was about their system for detecting and preventing odor releases. As I recall, they had people walk around the perimeter and local neighborhoods regularly, just sniffing for smells from the plant. On the day we were there, I noticed petroleum odors only when we were close to one of the refining towers; otherwise, the only smell was from the nearby Tokyo Bay.
Wow. I grew up in Houston, and I assumed that the smell from these plants was pretty-much unavoidable. It's shocking (and I guess not all that surprising) that this is a choice that manufacturers make.
I guess it really does depend on the economic power of the surrounding communities.
When? I don't know Houston, but I recall in MN a refinery that made the whole area stink for 10 miles around. 15 years latter I went by and the air was great even when driving buy the main gate. Soon after my brother in law got a job at that refinery and he told me that for a years they decided the EPA fines for releases were a cost of going business, but when management decided to clean up they were quickly able to root cause and fix all the issues that caused "releases." Houston can clean up as well, but since I've never been to that city I can't say if things have changed.
When it's lit at night you can see it from up to twenty miles away. Closer in you can hear it. Things have gone back and forwards on mitigations, fines, industrial disputes, and in the end the plant is closing.
When we lived in Edinburgh our flat had a fantastic view north - which included the spire of Fettes College and occasionally the flare from Mossmorran - which together look quite like Barad-dûr and Mount Doom...
Likewise, a lot of the complaints people have about data centers are engineering choices. If companies can get away with it, they'll do it the cheap way.
What could be needed is internalization of external costs. If you release chemicals that cause problems, charge the polluter, and send the charges to those affected.
On a global scale this breaks down, because governments value the lives of non-citizens orders of magnitude below the lives of their own citizens. The US will spend millions to save one expected life at home; it will avoid spending thousands to save one expected life in a third world country.
Sounds about right. I work in the field contracting to a lot of plants and once they are built they don’t need a ton of people there. It’s really if they are doing shutdowns that there are a lot of people.
I couldn’t get through the book, either, the first couple of times I tried to read it. But on my third attempt I came to think that the obsession with whales itself, both Ahab’s and the author’s, was maybe more important than the plot. In any case, it’s a strange, fascinating book.
I should have noted that it was twenty years between my second, unsuccessful attempt at the book and my ultimately successful one. Maybe sometimes one has to become a different person to get it.
Side comment: I have recently used Claude Code to make a few sites for testing purposes. In the prompt I added "don't make it look vibe coded," and it worked pretty well: No purple gradients, bento box layouts, etc. Nothing spectacularly original, either, but probably enough to avoid accusations of vibe coding.
The clipboard manager I had been using on my Macs for many years started flaking out after an OS update. The similar apps in the App Store didn’t seem to have the functionality I was looking for. So inspired by a Simon Willison blog post [1] about vibe coding SwiftUI apps, I had Claude Code create one for me. It took a few iterations to get it working, but it is now living in the menu bar of my Mac, doing everything I wanted and more.
Particularly enlightening to me was the result of my asking CC for suggestions for additional features. It gave me a long list of ideas I hadn’t considered, I chose the ones I wanted, and it implemented them.
Two days ago, I decided I wanted a dedicated markdown editor for my own use—something like the new markdown editing component in LibreOffice [2] but smaller and lighter. I asked the new GPT 5.5 to prepare an outline of such a program, and I had CC implement it. After two vibe coding sessions, I now have a lightweight native Mac app that does nearly everything I want: open and create markdown files, edit them in a word-processing-like environment, and save them with canonical markdown formatting. It doesn’t handle markdown tables yet; I’ll try to get CC to implement that feature later today.
Here's one person's feedback. After the release of 4.7, Claude became unusable for me in two ways: frequent API timeouts when using exactly the same prompts in Claude Code that I had run problem-free many times previously, and absurdly slow interface response in Claude Cowork. I found a solution to the first after a few days (add "CLAUDE_STREAM_IDLE_TIMEOUT_MS": "600000" to settings.json), but as of a few hours ago Cowork--which I had thought was fantastic, by the way--was still unusable despite various attempts to fix it with cache clearing and other hacks I found on the web.
If it’s any consolation, this problem of discrepancies in rules is very common at universities now.
I teach at two universities in Japan and occasionally give lectures on AI issues at others, and the consensus I get from the faculty and students I talk with is that there is no consensus about what to do about AI in higher education.
Education in many subjects has been based around students producing some kind of complex output: a written paper, a computer program, a business plan, a musical composition. This has been a good method because, when done well, students could learn and retain more from the process of creating such output than they would from, say, studying for and taking in-class tests. Also, the product often mirrored what the students would be doing in their future lives, so they were learning useful skills as well.
AI throws a huge spanner into that product-based pedagogy, because it allows students to short-cut the creation process and thus learn little or nothing. Also, it is no longer clear how valuable some of those product-creation skills (writing, programming, planning) will be in the years ahead.
And while the fundamental assumptions behind some widely used teaching methods are being overthrown, many educators, students, and administrators remain attached to the traditional ways. That’s not surprising, as AI is so new and advancing so rapidly that it’s very difficult to say with any confidence how education needs to change. But, in my opinion at least, it does need to change at a very fundamental level. That change won’t be easy.
That's my guess, too. I live in Japan and eat at fast food places from time to time. One feature of McDonald's is that the food preparation area is almost always visible from the customer area; I can see the people assembling the burgers, handling the fries, etc. At Yoshinoya and other domburi places, even though the shop is much smaller than a McDonald's, I am usually unable to see the person actually putting the rice and toppings into the bowls.
I suspect that efficiency of layout is the top priority in both cases, but I wouldn't be surprised if McDonald's is also consciously trying to show that their food is human-prepared, both in the store design and in their food photos.
“... the most uncomfortable question here is not whether ChatGPT is making teenagers worse at thinking. It is whether the education system ...”
“This is not cognitive dissonance in any simple sense. It is something more structurally interesting ...”
“... opting out is not a principled stand. It is a competitive disadvantage.”
“The students are not confused. They are trapped.”
“... choosing not to use AI is not intellectual integrity. It is self-sabotage.”
“... the problem is not that education cannot protect against cognitive offloading, but that most education systems are not currently designed to do so.”
“... cognitive offloading is not a convenience. It is a developmental short-circuit.”
“... happening not through careful pedagogical planning, but through exhaustion...”
“... students are adopting AI not because they have been taught to use it critically, but because nobody has given them a compelling reason not to.”
“These investments are not philanthropic gestures. They are strategic plays ...”
“These are not neutral actors offering disinterested tools. They are companies with revenue models ...”
“... they are not just choosing a product; they are choosing a pedagogical philosophy ...”
“... Khanmigo is designed not to give answers directly. Instead, it employs a Socratic method ...
“AI did not break the system. It revealed, with uncomfortable clarity, what the system was always building toward ...”
Opus 4.7 in incognito mode without web search gave up: “I can't identify either author with confidence — I don't recognize this specific exchange, and I'd rather tell you that than guess and risk attributing words to the wrong person. What I can offer are the clues the text itself gives: The two are colleagues at the same university, with offices in the same building and....”
In a new incognito conversation, I gave Opus the same prompt but this time let it search the web. After twenty-six web searches (according to its reasoning trace), it was able to identify me correctly by name. It seems to have used both the content and my writing style as clues. It correctly identified my colleague as British but didn’t come up with his name.
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