Month: December 2022
From the comments, on CDC reform
These are the word of commentator Sure:
Walter Grinder has passed away, RIP
Meeting Walter at age 13 was a formative moment in my life, as he hooked me on the world of ideas. Fortunately, Walter lived in Bogota, New Jersey at the time, and I was not so far away. He was the first person to show me it was possible to have a life devoted to intellectual inquiry. I looked forward to each meeting with Walter more than anything else, and I would never stop peppering him with questions about which books to read and which NYC bookstores to visit. It also seemed impossibly cool to me that he had hung out with Camus and in addition visited Yugoslavia. I saw him and thought, ‘I want to be some version of this.’
I remember Walter giving me an autographed copy of his edition of Albert Jay Nock. Walter being purged by the Rothbardians. Walter going off to study with David O’Mahony at the University of Cork and complaining about the telephone service. Walter being CEO of the Institute for Humane Studies. And Walter moving back to Menlo Park. Walter also had a great family.
Not everything in Walter’s career went the way he wanted it to. Still, Walter had a huge impact on many people, many of them successful and influential themselves. We are a kind of secret club, we know who each other are, and this is a day we are all mourning.
Wednesday assorted links
AI is going to break a lot of norms and institutions
AI is going to break a lot of norms and institutions. Sam Hammond offers a peak:
Indeed, within a decade, ordinary people will have more capabilities than a CIA agent does today. You’ll be able to listen in on a conversation in an apartment across the street using the sound vibrations off a chip bag. You’ll be able to replace your face and voice with those of someone else in real time, allowing anyone to socially engineer their way into anything. Bots will slide into your DMs and have long, engaging conversations with you until it senses the best moment to send its phishing link. Games like chess and poker will have to be played naked and in the presence of (currently illegal) RF signal blockers to guarantee no one’s cheating. Relationships will fall apart when the AI lets you know, via microexpressions, that he didn’t really mean it when he said he loved you. Copyright will be as obsolete as sodomy law, as thousands of new Taylor Swift albums come into being with a single click. Public comments on new regulations will overflow with millions of cogent and entirely unique submissions that the regulator must, by law, individually read and respond to. Death-by-kamikaze drone will surpass mass shootings as the best way to enact a lurid revenge. The courts, meanwhile, will be flooded with lawsuits because who needs to pay attorney fees when your phone can file an airtight motion for you?
How will ChatGPT affect American government?
That is the topic of my latest Bloomberg column, here is one excerpt:
Consider the regulatory process. In the US, there is typically a comment period before many new regulations take effect. To date, it has been presumed that human beings are making the comments. Yet by mobilizing ChatGPT, it is possible for interested parties to flood the system. There is no law against using software to aid in the production of public comments, or legal documents for that matter, and if need be a human could always add some modest changes.
ChatGPT seems to do best when there is a wide range of relevant and available texts to train from. In this regard, the law is a nearly an ideal subject. So it would not surprise me if the comment process, within the span of a year, is broken. Yet how exactly are governments supposed to keep out software-generated content?
Stack Overflow, a software forum, already has already banned ChatGPT content because it has led to an unmanageable surfeit of material. The question is whether that ban can be enforced.
Of course regulatory comments are hardly the only vulnerable point in the US political system. ChatGPT can easily write a letter or email to a member of Congress praising or complaining about a particular policy, and that letter will be at least as good as what many constituents would write, arguably even better. Over time, interest groups will employ ChatGPT, and they will flood the political system with artificial but intelligent content.
To be clear, I do not think the sky will fall, but this is going to mean big changes at the procedural level, with some spillovers into substance as well. As a tag to close the column, I also asked ChatGPT what it thought would happen…
Why the CDC is hard to fix
As of October, 10,020 of the CDC’s 12,892 full-time employees — 78% of the full-time workforce — were allowed to work remotely all or part of the time, according to data that KHN obtained via a Freedom of Information Act request.
Experts said the lack of face-to-face work will likely be a substantial obstacle to the top leadership’s effort to overhaul the agency after its failures during the pandemic — a botched testing rollout, confusing safety guidance, the slow release of scientific research, and a loss of public trust.
They also wondered whether Walensky, who frequently works remotely while traveling, can bring about that change from afar and whether a virtual workforce might experience more challenges battling infectious diseases than one working together in person.
“One of the things that a really strong new leader would do is they’d be visible, they’d be walking the halls, they’d have the open door,” said Pamela Hinds, a professor of management science and engineering at Stanford University. “That’s much harder to accomplish when nobody’s there.”
Here is the full story, via Rich Dewey.
When does the British system of government work well?
Following my critical post earlier this week, a few of you have asked me this question. I have at least two conditions to nominate:
1. When social trust in government is relatively high, the notion of “giving one party the chance to rule” will work better. People may disagree with policy choices made, but they won’t conclude the entire apparatus is illegitimate. Unfortunately, the Brexit process showed that condition, for whatever reasons, did not hold. It did hold for most of the 20th century in Britain.
2. When it is clear which reforms are needed in the system. That was the case when Margaret Thatcher’s rule started, namely that taxes were too high, too many sectors have been nationalized, and the trade unions had too much power. The associated solutions to those problems were not easy to pull off, but it was easy to see what they might be, at least in broad terms. These days, one Tory PM cuts taxes and a few weeks later another Tory PM raises them. Whichever view you think is correct, it seems the right approach is far from obvious. And in those situations “the right to implement an agenda without many checks and balances” also is worth correspondingly less.
I don’t actually think the British should switch their system of government, as so many of the country’s institutions, for better or worse, are built around “the way things are.” I think they need to wait until their system of government starts working better again! Which at some point it will. But that point is not now.
Tuesday assorted links
1. Monkey Cage blog to leave WaPo and relaunch as an independent site.
2. Vitalik on what in the Ethereum application ecosystem excites him right now.
3. Did an ancient human relative, with a much smaller brain, still use fire?
4. Why have movie stars vanished? (NYT)
5. An appreciation of Jeffrey Friedman.
6. ChatGPT on Spielberg’s A.I.
7. The Irish state is 100 years old today (and no one cares!?).
Twitter comes of age
Twitter has reached some all-time highs in the last month. The first was the coverage of FTX/SBF. Some of the early MSM coverage was oddly exculpatory, while other pieces seemed pedestrian. On Twitter, AutismCapital and others tore up a storm. Every day one learned something exciting, almost unbelievable, and new. I learned new words such as “polycule.”
The other issue is ChatGPT. At least as of yesterday (when I composed this post), the NYT hadn’t had a single story about it, and I believe the same is true for WaPo. There is Bloomberg, which in general is on top of things, and also I have heard of a single Guardian piece. Wake up people!
Yet every day my Twitter is drenched in ChatGPT, whether analysis or actual chats. I have learned so much so quickly, and so many other world events seem to have slowed to a crawl.
More than any other time, if you are not on Twitter, you just don’t know what is going on.
Addendum: NYT coverage, finally.
Papua New Guinea no fact yet of the day
Papua New Guinea’s prime minister says he does not know the exact size of his country’s population after a report suggested that the number of people living in the Pacific nation could be almost twice the official figure.
A new study compiled by the UN Population Fund has implied that Papua New Guinea’s population may have ballooned to 17mn compared with the official figure of 9.4mn, according to a report in The Australian newspaper. James Marape, who was re-elected as Papua New Guinean prime minister in August, told the newspaper he believed that the population could be 11mn but admitted he might be wrong.
The lack of clarity around the size of the country’s population has serious implications for its economic status and raises doubts over its ability to provide services to its people.
If the study, which has not been published, is correct then it would almost halve the country’s gross domestic per capita levels from about 4,000 kina ($1,136), according to Maholopa Laveil, a fellow at the Lowy Institute think-tank and an economics lecturer.
Of course I am rooting for the higher number of people. Here is the full FT story.
My London discussion at Civic Future
During the evening I was feeling quite the optimist. With David Goodhart and Stephen Bush, Munira Mirza as the moderator:
Civic Future is a new British non-profit, devoted to the idea of talented people entering government.
Monday assorted links
Computers are Better at Recognizing Faces than Cyborgs
There was a brief window of time when computers could beat humans at chess but a human and a computer could beat a computer. In other words, there was a window of time when cyborgs could beat computers at chess. That window closed years ago (as Tyler predicted it would). Computers now beat humans and cyborgs. Humans aren’t especially evolved to be good at chess which is why only a few of us play chess well but we are evolved to recognize faces. Humans are incredibly good at recognizing faces. But computers are better. Even more surprisingly, computers are better at recognizing faces than cyborgs.
Psycnet: Automated Facial Recognition Systems (AFRS) are used by governments, law enforcement agencies, and private businesses to verify the identity of individuals. Although previous research has compared the performance of AFRS and humans on tasks of one-to-one face matching, little is known about how effectively human operators can use these AFRS as decision-aids. Our aim was to investigate how the prior decision from an AFRS affects human performance on a face matching task, and to establish whether human oversight of AFRS decisions can lead to collaborative performance gains for the human-algorithm team. The identification decisions from our simulated AFRS were informed by the performance of a real, state-of-the-art, Deep Convolutional Neural Network (DCNN) AFRS on the same task. Across five pre-registered experiments, human operators used the decisions from highly accurate AFRS (> 90%) to improve their own face matching performance compared with baseline (sensitivity gain: Cohen’s d = 0.71–1.28; overall accuracy gain: d = 0.73–1.46). Yet, despite this improvement, AFRS-aided human performance consistently failed to reach the level that the AFRS achieved alone. Even when the AFRS erred only on the face pairs with the highest human accuracy (> 89%), participants often failed to correct the system’s errors, while also overruling many correct decisions, raising questions about the conditions under which human oversight might enhance AFRS operation. Overall, these data demonstrate that the human operator is a limiting factor in this simple model of human-AFRS teaming. These findings have implications for the “human-in-the-loop” approach to AFRS oversight in forensic face matching scenarios.
Hat tip: The excellent KL.
Why I am disilllusioned with the Westminster system of government
As the end of the year approaches, it is worth considering which of our earlier views we have reevaluated. I have a nomination: I am these days less enamored of the British parliamentary or “Westminster” system of government, which no longer seems well-functioning. The British version of the idea in particular.
Some traits of the British Westminster system are the fusion of the executive and legislative branches of government, first past the post democratic elections, the relative weakness of judicial vetos, and the relative absence of federalist structures. All of those features centralize power in the national state.
The Westminster system long has had American fans, most recently political commentator Matt Yglesias. These individuals praise the parliamentary system for giving government a chance to get things done, subject to a periodic, up-down democratic check.
What I am observing is that, contrary to common reputation, the UK political system is turning out to be more gridlocked than the American system. One problem is that governments can very easily lose their majorities and fall, as witnessed by the quick succession of three British prime ministers, Boris Johnson, Liz Truss, and now Rishi Sunak. To provide a simple example, it has been difficult for any of those governments to legalize fracking (Johnson did not, Truss made gestures in that direction, Sunak has claimed he will not). If nothing else, fracking would disrupt the rural and suburban environments of Tory voters, and endanger the stability of a Conservative government. The end result is that Britain is less energy-independent, more budget constrained and as a result more constrained in what it can do politically.
The contrast with America is striking. Fracking spread through deregulation at the state level, and it was then tolerated by President Obama at the federal level. Obama’s implicit decision was not popular with the strongly environmental faction in the Democratic Party, but there was no risk that his government would fall immediately. The United States government ended up with a stronger economy and also more foreign policy autonomy.
More generally, federalism gives the American system of government more sources of innovation. Recently the YIMBY movement has made significant strides in California, and a YIMBY-sympathetic regime has prevailed in Texas from the beginning. The United Kingdom, in contrast, is so far stalled in its efforts to deregulate building and construction.
The British system also is failing to keep the nation together. The “all or nothing” feature of parliamentary rule tends to alienate political outsiders, which in this case includes a significant portion of Scotland. Recent governments usually have been Tory, but the Scottish populace as a whole stands to the left of the winning coalitions and has little voice in them. Over time, Scotland has demanded and won near-complete devolution, and there is continuing talk of a second independence referendum. It is possible that twenty or thirty years from now both Scotland and Northern Ireland will have left the United Kingdom. Failure to hold the nation together, or even to create a significant risk in that direction, has to count as a fundamental defect of a political system.
Note that New Zealand once had a version of the Westminster system, but through a 1993 referendum voters replaced it with a form of proportional representation. Again, the former Westminster methods did not command enough loyalty from a sufficiently broad swathe of the electorate to prove stable.
The British system of government also tends to diminish its own autonomy over time, mostly for fiscal reasons. Many of the constraints on the current British government are fiscal rather than procedural, as we saw during the ill-fated Truss experiments with increasing the budget deficit. The more autonomy is given to governments earlier in the historical sequence, the more likely they are to spend money and promise voters benefits. That makes it hard, over time, to spend additional money at the margin, and so British governmental autonomy was high earlier in the twentieth century and now is much lower. It is unfortunate, but no surprise, that the Sunak government finds it necessary to be proposing tax increases.
There is one major respect in which the British government did overcome political gridlock, and that is seeing through the process of Brexit. Yet the result has been inferior economic performance and in turn yet greater constraints on the government. The initial exercise of autonomy turns out to have been illusory.
Furthermore, the unitary nature of sovereignty in the UK made it harder to jump off the Brexit track once the process was underway. The strongest pro-Brexit factions are numerous enough to depose a Tory government, and so the UK has ended up with a harder Brexit than would have been ideal. That single faction has had the power to derail other potential solutions, a classic sign of governmental gridlock.
Political constitutions do not keep the same properties over time, and their virtues may decay. The British system of government has become an unfortunate illustration of that point.
Here is the original post.