Today’s Slow Boring update started off great (the Home Alone house!), then came this whopper of a reasoning flaw and I stopped reading in frustration.
You can’t make any conclusions out of junk data, people, though apparently you can write a 5,000-word essay.
Today’s Stratechery update from Ben Thompson is about censorship and it is too bad that there is a paywall — email me if you’d like it forwarded — because it is the best overview of our current predicament. Ada Palmer’s Tools for Thinking about Censorship is still the best historical perspective.
❄️ DC public schools are back in session after two snow days and on one hand this is a relief — no one wants to make up extended snow days in the summer — but then most streets are still not plowed and have 0.5 lanes of traffic open making the morning drive a hazard. What is all this equipment for?
Two days ago I may have done some venting about peer review. Today I want to provide a solution: uber-peer review, by LLM.
The process is simple: as soon as the editor receives a manuscript and after the usual process determines it should be sent out for review, they upload it to ChatGPT (model GPT-4o, alas, since o1 doesn’t take uploads) and write the following prompt(s):
This is a manuscript submitted to the journal ABC. Our Scope is XYZ and our impact factor is x. We publish y% of submissions. Please write a review of the manuscript as (choose one of the three options below):
- A neutral reviewer who is an expert in the topics covered by the article and will provide a fair and balanced review.
- A reviewer from a competing group who will focus and over-emphasize every fault of the work and minimize the positive aspects of the paper.
- A reviewer who is enthusiastic about the paper and will over-emphasize the work’s impact while neglecting to mention its shortcomings.
(the following applies to all three) The review should start with an overview of the paper, its potential impact to the field, and the overall quality (low, average or high-quality) of the idea, methodology, and the writing itself. It should follow with an itemized list of Major and Minor comments that the author(s) can respond to. All the comments should be grounded in the submitted work.
What comes out with prompt number 1 will be better than 80% of peer review performed by humans, and the cases number 2 and 3 are informative on it’s own. If the fawning review isn’t all that fawning, well that’s helpful information regardless. A biased result can still be useful if you know the bias! Will any of it be better than the best possible human review? Absolutely not, but how many experts give their 100% for a fair review — if such a thing is even possible — and after how much poking and prodding from an editor, even for high impact factor journals?
And how many peer reviewers are already uploading their manuscripts to ChatGPT anyway, then submitting them under their own name with more or less editing? What model are they using? What prompt? Wouldn’t editors want to be in control there?
Let’s formalize this now, because you can be sure as hell that it is already happening.
Much has been written and said about the faults of peer review but one thing I think hasn’t been emphasized enough so I’ll state it here: journal editors need to grow a spine. And they need to grow it in two ways, first by not sending obviously flawed studies out for peer review no matter where they come from, then by saying no to reviewers' unreasonable demands, not taking their comments at face value, and sometimes just not waiting 6+ months for a review to come back before making a decision.
📚 Finished reading: The Notebook by Roland Allen. It starts off strong, with an anecdote about the creation of the Moleskine brand, then goes in much depth about writing during renaissance and the enlightenment, topping it off with a few modern developments like BuJo. The chapters are self-contained and packed with information without being bogged down into too much detail — the Moleskine chapter is a good example of what to expect — at the expense of an overarching “story”. So, this is a collection of vignettes more than a systemic review and categorization of the types of notebooks through history, and that’s fine.
A few higlights:
A more modest list for what I hope will be a more modest year:
Remember, it’s the books you don’t read that count. And here are last year’s wish lists: 2024 — 2023 — 2022.
For all the hate X gets, you can still find nuggets of good information, Nassim Taleb and the Taleb-adjacent being a prime example. Here is one such post, from Juani Villarejo, shown here in its entirety for those who would rather not go to X to see the original:
Parkinson’s law says that work expands to fill the available time.
Jevons’s paradox states that every increased efficiency, will raise demand rather than decrease it.
And there is a work asymmetry:
Probably there are many more things you dislike doing than things you like.Conclusion: If you allocate time to work, all the time will be filled with tasks to do.
If you make your work more efficient, your time will be filled with more tasks (demands increases).
But by the asymmetry, tasks you dislike doing have more chance to appear than tasks you like.
So when you make your work more efficient your time will always tend to be filled with more tasks you dislike doing.
Corollary: Never ever efficientize (sic!) the things you like doing. Take all the time and enjoy them slowly. They also serve as a defense wall against the things you dislike.
The links and emphasis are mine. For all its pretenses to the contrary X is still a horrible platform for anything longer than 300 or so characters and does not allow for hyperlinks.
A thought for the year, from the aforementioned Prof. Taleb:
Likewise, I don’t read letters and emails longer than a postcard. Writing must have some solemnity. Reading and writing, in the past, were the province of the sacred.
From How I Write, to which I have linked before. Good essays much like good books are worth re-rereading.
Here are a few links to start off 2025 (see if you can spot a pattern):
Happy New Year, dear reader!