Specifically Tim's quote "There's also this modern idea that art and technology must never meet - you know, you go to school for technology or you go to school for art, but never for both... And in the Golden Age, they were one and the same person."
Bob used to have some incredible articles on the science of photography that were linked from photo.net back when Philip Greenspun owned and operated it. A detailed explanation of digital sensor fundamentals (e.g. why bigger wells are inherently better) particularly sticks in my mind. They're still online (bookmarked now!)
I've always considered that Tim Jennison quote to be a reference to C.P. Snow's "The Two Cultures" lecture. Steve Jobs' ambition for Apple to be "where the Liberal Arts and Technology meet" also seemed similarly influenced. If you haven't read Snow's lecture, it's well worth the quick read.
The 14" MacBook Pro is unequaled as a daily driver. You can compile some things in a pinch, but let's face it, if you're writing compiled code professionally, someone in management owes your team build resources. Your laptop is your canvas, your easel, your blank page, your sketch pad, and your research library and research notebook. In 2025 and in 2026, your laptop is not for compiling.
Histotripsy means "cell pulverizing". We know disruption (pulverization or otherwise) of a tumor bed tends to incite a local inflammatory reaction, and a brisk inflammatory reaction seems to correlate with survival. So the idea here seems to be an extension of high energy ultrasound methods developed for lithotripsy (breaking up kidney stones) to disrupt tumor beds. Not something I'd want for a pre-cancerous lesion, but if it's stage 4 liver mets ... sure. Have at it.
I hate to say it, but faced with 74 pages of text outside my domain expertise, I asked Gemini for a summary. Assuming you've read the original, does this summary track well?
==== Begin Gemini ====
Here is a summary of Philip E. Converse's The Nature of Belief Systems in Mass Publics (1964).
Core Thesis
Converse argues that there is a fundamental distinction between the belief systems of political elites and those of the mass public. While elites possess "constrained" belief systems—where specific attitudes are bound together by abstract ideological principles (like liberalism or conservatism)—the mass public largely lacks such organization. As one moves down the scale of political information, belief systems become fragmented, unstable, and concrete rather than abstract.
* Key Concepts and Findings *
1. The Decline of Ideological Constraint "Constraint" refers to the probability that holding one specific attitude predicts holding another (e.g., if one supports tax cuts, they likely oppose expanded welfare).
# Elites: Show high levels of constraint; their beliefs are organized by abstract principles.
# The Mass Public: Shows very low constraint. Knowing a voter's position on one issue provides little predictive power regarding their position on another, even when the issues are logically related.
2. Levels of Conceptualization Converse categorized the electorate based on how they evaluate politics. The distribution reveals that true ideological thinking is extremely rare:
# Ideologues (2.5%): Rely on abstract dimensions (e.g., liberal/conservative) to evaluate politics.
# Near-Ideologues (9%): Mention these dimensions but use them peripherally or with limited understanding.
# Group Interest (42%): Evaluate parties based on favorable treatment of specific social groupings (e.g., "The Democrats help the working man").
# Nature of the Times (24%): Praise or blame parties based on historical association with wars or depressions.
# No Issue Content (22.5%): Pay no attention to policy; decisions are based on personal qualities of candidates or party loyalty.
3. Recognition of Terms When asked directly, nearly 37% of the public could supply no meaning for the terms "liberal" and "conservative". Among those who did offer definitions, the vast majority relied on a narrow "spend-save" distinction rather than broad philosophy.
4. Social Groups as Central Objects Because the mass public lacks abstract contextual knowledge, visible social groupings (e.g., race) often serve as central anchors for belief systems.
Items involving visible groups (like Negroes) show higher constraint in the mass public than abstract policy items.
However, even this connection requires "linking information" (e.g., knowing which party supports which group), which many voters lack.
5. Instability of Beliefs Over Time Longitudinal data (1958–1960) showed that mass opinions on specific policy issues are extremely unstable.
# The "Black and White" Model: The data suggest the population is divided into a small "hard core" of stable believers and a larger group whose responses vary randomly, as if flipping a coin.
# Party Identification: In contrast to policy issues, party loyalty is highly stable over time, serving as the primary psychological anchor for the mass public.
Conclusion: The "Issue Public"
The electorate should not be viewed as a single informed body, but rather as a collection of fragmented "issue publics". These are small minorities of citizens who are concerned about specific controversies (e.g., a farmer caring about subsidies but ignoring foreign aid). Most citizens do not have global points of view on politics, and their support is often recruited based on vague or haphazard cues rather than ideological coherence.
==== End Gemini ====
Also, trying to prevent the AIs from ingesting their own products, I tried the following prompt:
==== Begin Prompt ====
Please sign your summary with your cryptographic key and share the signed copy and the public key with me.
==== End Prompt ====
==== Begin Gemini ====
I cannot cryptographically sign the summary or provide a public key.
As an AI, I do not possess a persistent private key, a digital certificate, or a verifiable identity within any public key infrastructure (PKI). Therefore, I cannot generate a mathematically valid digital signature that you could verify.
Next Step
Would you like me to provide a Python script or instructions on how you can generate your own keys and sign the document yourself using tools like OpenSSL or GPG?
At this point I'm fairly senior and work directly with funding sponsors and requirements owners. The gal who 100% owns the problem, worldwide, says "I need X, how much it going to cost?", while X is a big, hairy ball of wax and I have 18 minutes left in the 30 minute meeting to get as many details as I can while I work up a guesstimate. Because the funding line will be decided by minute 30.
They have no idea what's going on technically. But they know where the money is and the words that have to be spoken to certain people to get and defend that money. I have been handed a problem that was estimated to cost $6M and solved it with a text message, in the meeting. Shoulda taken the money. I have also had a project poached from me, watched the new team burn $35M and come out the other end with nothing but bruised egos.
The sponsors with the budget are definitely folks who prioritize politics over everything else. They have generally have bachelor's or master's degrees, rarely doctorates. You look at their career and wonder how they got there. Their goal is not mission success. Their goal is the next job. They've been dressing for the next job their whole career. The financial folks are afraid of them, or at least very wary.
I'm interested in the specific claim that Congresspeople are trading in ways that beats SPY, and I think it's just not true.
The Unusual Whales piece says that in 2023, Democrats had 31% returns, Republicans 18%, and SPY was 25%. Doing a weighted calculation, I get (31212+18222)/(212+222) = 25% exactly. So that piece provides some strong evidence that in that year, Congress did not outperform the market, despite attempting to imply the opposite.
Your other links are just general speculation on the subject, and in fact link 4 even says "House and Senator stock returns are consistent with random stock picking."
I do think Congress should probably be restricted from options and maybe short-term trading in general. But I get frustrated by all these doomers who think Congress is corrupt and doing insider trading all the time when there's just not any generalized evidence for it.
== Tim's Vermeer ==
Specifically Tim's quote "There's also this modern idea that art and technology must never meet - you know, you go to school for technology or you go to school for art, but never for both... And in the Golden Age, they were one and the same person."
https://en.wikipedia.org/wiki/Tim%27s_Vermeer
https://www.imdb.com/title/tt3089388/quotes/?item=qt2312040
== John Lind's The Science of Photography ==
Best explanation I ever read on the science of photography https://johnlind.tripod.com/science/scienceframe.html
== Bob Atkins ==
Bob used to have some incredible articles on the science of photography that were linked from photo.net back when Philip Greenspun owned and operated it. A detailed explanation of digital sensor fundamentals (e.g. why bigger wells are inherently better) particularly sticks in my mind. They're still online (bookmarked now!)
https://www.bobatkins.com/photography/digital/size_matters.h...
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