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Ben Vinegar Bluesky
A pattern I'm seeing with AI debugging: it's easy to get stuck inside the model's search space. So you burn tokens & time chasing candidate fixes, while the real answer sits in context only you have ... but never explored, because you quietly surrendered your thinking.
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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23 August
21 July
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korrents.com
Drug companies pile onto the same few already-validated targets, so far less of biology gets explored than could be.Their words
In biomedicine we have a problem called target herding: most companies chase the same biological targets because they are de-risked, which means we explore far less of the biological space than we could.
Intelligence is not the main bottleneckwritingruxandrabio.com
26 June
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Their words
Um but it would be possible and it would have been possible for somebody to disprove the erdos unit distance conjecture before we did using a general purpose model. And nobody had explored sufficiently what happens if I put $100,000 worth of compute into 5.5 what could it do?
7 April
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Their words
Um, there's just too many interesting ways of combining things. There's too many sort of deep ideas waiting to be uh, discovered and when it you know, not only we, but but nobody ever is going to to discover most of them. So, choices about how to make how to do the exploration actually matter quite a bit.
26 February
1 December 2025
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Lovedrcmnd.app
The Singer of TalesTheir words
That question is explored in another extraordinary book, Albert B. Lord’s The Singer of Tales
31 July 2025
30 December 2024
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Likedrcmnd.app
Principles of the SPIN Model CheckerTheir words
This book gave me both insight and a deeper curiosity about the subject. This book introduces the SPIN model checker and exposes the reader to the nuances of verifying programs using SPIN. A nice feature of the book is how it explains concepts using thoughtfully developed, freely available tools (such as jSpin) that the author created for pedagogical purposes. It's a demanding book, but the content was interesting. The book presents details about concurrency, temporal logic, non-determinism, advanced SPIN topics, and even case studies. I've already written a few blog posts about the topics I explored while reading this book, and I plan to write more. Overall, it's a good book. I'm sure I'll revisit the latter half again.
7 September 2022
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Their words
So they have explored genetic sequence space far more thoroughly than eukaryotes ever did because they’ve had twice as long at least, and they’ve got much larger populations, and they never got around this problem. So why can’t they? It seems as if you can’t solve it with information alone. So what’s the problem? The problem is structure.
17 April 2009
27 July 2005
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