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Raw data: Social media is becoming more accepted

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Here's an interesting YouGov poll I happened to come across this morning. It asks people if, overall, social media is good or bad:

It's probably not surprising that young people are far more positive about social media than older people. But I am a little surprised about the big education gap. Is this because of education itself? Or because the kids of high school grads have more problems with social media than the kids of college grads?

Ditto for race. Why are Black people considerably more positive than either white or Hispanic folks?

For what it's worth, it all evens out. Among all adults, it's a dead tie between positive and negative. And positive feelings have been trending up for the past four years.

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Andreasj
105 days ago
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Biden remains two points behind Trump

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Here's the latest Trump-Biden polling:

It's impressive that Joe Biden has durably sustained only a 2-point drop since the debate. That's not good enough to maintain a serious chance of winning, but it's still kind of remarkable.

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Andreasj
218 days ago
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The US economy is a riddle wrapped in an enigma

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The American economy is in very squirrely shape right now. I have two things to show you that demonstrate how weird things are.

First, you may recall that there are two basic measures of economic growth: GDP and GDI. They are theoretically identical, but in practice they diverge—sometimes a little, sometimes a lot. For that reason, many economists think the best overall measure of economic growth is an average of the two. Here are the latest figures for that:

If this is correct, we've been in a light recession for the past year. That hardly seems plausible, though, especially with the labor market so tight.

But that gets me to my second, even more astonishing chart. The BLS reported yesterday that overall US employment was up 2.6% last year but weekly wages were down 8.7% after adjusting for inflation. This same dynamic was true in virtually every state and 240 out of 355 big counties. Here's a sample:

This is nuts. Take a look at California: employment growth is strong at 2.3% but pay is down a whopping 13.3% after inflation. In San Francisco alone, employment increased 2.5% but pay cratered by 29%. How is that even possible?

I'm stymied by this. If hiring is strong, how can wages be going down—a lot? Is it related to the overall economy being weaker than we think? I don't know, but one way or another the labor market just isn't as tight as we think it is.

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Andreasj
637 days ago
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ChatGPT Made Me Cry and Other Adventures in AI Land

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ChatGPT answers a question about what kottke.org is

[Yesterday I spent all day answering reader questions for the inaugural Kottke.org Ask Me Anything. One of them asked my opinion of the current crop of AI tools and I thought it was worth reprinting the whole thing here. -j]

Q: I would love to know your thoughts on AI, and specifically the ones that threaten us writers. I know you’ve touched on it in the past, but it seems like ChatGPT and the like really exploded while you were on sabbatical. Like, you left and the world was one way, and when you returned, it was very different. —Gregor

A: I got several questions about AI and I haven’t written anything about my experience with it on the site, so here we go. Let’s start with two facts:

  1. ChatGPT moved me to tears.
  2. I built this AMA site with the assistance of ChatGPT. (Or was it the other way around?)

Ok, the first thing. Last month, my son skied at a competition out in Montana. He’d (somewhat inexplicably) struggled earlier in the season at comps, which was tough for him to go through and for us as parents to watch. How much do we let him figure out on his own vs. how much support/guidance do we give him? This Montana comp was his last chance to get out there and show his skills. I was here in VT, so I texted him my usual “Good luck! Stomp it!” message the morning of the comp. But I happened to be futzing around with ChatGPT at the time (the GPT-3.5 model) and thought, you know, let’s punch this up a little bit. So I asked ChatGPT to write a good luck poem for a skier competing at a freeski competition at Big Sky.

In response, it wrote a perfectly serviceable 12-line poem with three couplets that was on topic, made narrative sense, and rhymed. And when I read the last line, I burst into tears. So does that make ChatGPT a soulful poet of rare ability? No. I’ve thought a lot about this and here’s what I think is going on: I was primed for an emotional response (because my son was struggling with something really important to him, because I was feeling anxious for him, because he was doing something potentially dangerous, because I haven’t seen him too much this winter) and ChatGPT used the language and methods of thousands of years of writing to deliver something a) about someone I love, and b) in the form of a poem (which is often an emotionally charged form) — both of which I had explicitly asked for. When you’re really in your feelings, even the worst movie or the cheesiest song can resonate with you and move you — just the tiniest bit of narrative and sentiment can send you over the edge. ChatGPT didn’t really make me cry…I did.

But still. Even so. It felt a little magical when it happened.

Now for the second part. I would say ChatGPT (mostly the new GPT-4 model), with a lot of hand-holding and cajoling from me, wrote 60-70% of the code (PHP, Javascript, CSS, SQL) for this AMA site. And we easily did it in a third of the time it would have taken me by myself, without having to look something up on Stack Overflow every four minutes or endlessly consulting CSS and PHP reference guides or tediously writing tests, etc. etc. etc. In fact, I never would have even embarked on building this little site-let had ChatGPT not existed…I would have done something much simpler and more manual instead. And it was a *blast*. I had so much fun and learned so much along the way.

I’ve also been using ChatGPT for some other programming projects — we whipped the Quick Links into better shape (it can write Movable Type templating code…really!) and set up direct posting of the site’s links to Facebook via the API rather than through Zapier (saving me $20/mo in the process). It has really turbo-charged my ability to get shit done around here and has me thinking about all sorts of possibilities.

I keep using the word “we” here because coding with ChatGPT — and this is where it starts to feel weird in an uncanny valley sort of way — feels like a genuine creative collaboration. It feels like there is a “someone” on the other side of that chat, a something that’s really capable but also needs a lot of hand-holding. Just. Like. Me. There’s a back and forth. We both screw up and take turns correcting each other’s mistakes. I ask it please and tell it thank you. ChatGPT lies to me; I gently and non-judgmentally guide it in a more constructive direction (as you would with a toddler). It is the fucking craziest weirdest thing and I don’t really know how to think about it.

There have only been a few occasions in my life when I’ve used or seen some new technology that felt like magic. The first time I wrote & ran a simple BASIC program on a computer. The first time I used the web. The first time using a laptop with wifi. The first time using an iPhone. Programming with ChatGPT over the past few weeks has felt like magic in the same way. While working on these projects with ChatGPT, I can’t wait to get out of bed in the morning to pick up where we left off last night (likely too late last night), a feeling I honestly have not consistently felt about work in a long time. I feel giddy. I feel POWERFUL.

That powerful feeling makes me uneasy. We shouldn’t feel so suddenly powerful without pausing to interrogate where that power comes from, who ultimately wields it, and who it will benefit and harm. The issues around these tools are complex & far-reaching and I’m still struggling to figure out what to think about it all. I’m persuaded by arguments that these tools offer an almost unprecedented opportunity for “helping humans be creative and express themselves” and that machine/human collaboration can deepen our understanding and appreciation of the world around us (as has happened with chess and go). I’m also persuaded by Ted Chiang’s assertion that our fears of AI are actually about capitalism — and we’ve got a lot to fear from capitalism when it comes to these tools, particularly given the present dysfunction of US politics. There is just so much potential power here and many people out there don’t feel uneasy about wielding it — and they will do what they want without regard for the rest of us. That’s pretty scary.

Powerful, weird, scary, uncanny, giddy — how the hell do we collectively navigate all that?

(Note: ChatGPT didn’t write any of this, nor has it written anything else on kottke.org. I used it once while writing a post a few weeks ago, basically as a smart thesaurus to suggest adjectives related to a topic. I’ll let you know if/when that changes — I expect it will not for quite some time, if ever. Even in the age of Ikea, there’s still plenty of handcrafted furniture makers around and in the same way, I suspect the future availability of cheap good-enough AI writing/curation will likely increase the demand and value for human-produced goods.)

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Andreasj
692 days ago
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GPT-4 will (almost) be your next doctor

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You've all seen plenty of punditry about GPT-4, almost all of it based on the generic version available to plebs like us. But that's nothing. There are also dozens of companies that have been building specially trained versions of GPT-4 for different industries ("vertical markets," or "verticals," if you want to sound like you know what you're talking about), and those are really going to be impressive. I'm not sure how long product development takes for this kind of thing, but sometime in the near future we're going to be flooded with specialized GPT bots.

One of the most obvious verticals to go after is health care. Tyler Cowen points today to a review of The GPT-x Revolution in Medicine from Eric Topol, and the money quote is obviously this:

“How well does the AI perform clinically? And my answer is, I’m stunned to say: Better than many doctors I’ve observed.” —Isaac Kohane MD

But Tyler thought this bit in particular was "hilarious":

I’ve thought it would be pretty darn difficult to see machines express empathy, but there are many interactions that suggest this is not only achievable but can even be used to coach clinicians to be more sensitive and empathic with their communication to patients.

The humor here is obvious, but in reality it's nothing to laugh at. The plain fact is that simulating empathy is trivially easy. Politicians and con men do it all the time, and not in especially sophisticated ways. Most of us want to believe that people like us, so we're easily fooled by fake empathy.

On the upside, this will make GPT-ish software a perfect companion for the elderly. Feigning empathy is mainly a matter of extreme patience combined with modest insight into human nature, and GPT-4 has both. A GPT companion for folks in nursing homes—or who are just lonely for any reason—will be a huge hit.

On the downside, gaining the trust of vulnerable people also poses obvious dangers. In the hands of people who like to scam the elderly over the phone it's likely to create havoc.

And for health care more generally, it's likely to become wildly popular. It isn't ready for prime time yet, so hopefully specialized diagnostic bots won't be turned loose on the internet for anyone to use. But in a doctor's office it will be gold, especially if it can be hooked up to high quality voice recognition and speech synthesis. Unlike doctors, who have limited time, a bot can listen to you recite your symptoms for as long as you feel like and then pass them along in summary form to the doctor. The doctor can absorb this quickly, ask a few more questions if necessary, and then pass judgment on the bot's recommendations.

The bot can do its part in any language. It can easily adjust to the personality and preferences of the patient. If its voice retains a bit of its robot heritage it will probably make many patients feel easier about revealing embarrassing details. Add a camera and some imaging capability and it will be able to examine sores or lesions or what have you. And of course, the bot has access to far more knowledge than any human doctor. It can be GP and specialist all rolled into one.

There are drawbacks too, which is why bots have to work with human doctors, not replace them. Right now, GPT's most famous drawback is its habit of "hallucinating," otherwise known as making stuff up. There are probably ways to minimize this in specific settings, but obviously doctors who use GPT have to be keenly aware of this.

Now multiply this by dozens or hundreds of different settings and GPT is set to revolutionize the world. Not instantly, but within a few years. It's not too soon to prepare.

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Andreasj
695 days ago
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Good schools (still) matter for low-income kids

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Chad Aldeman is a freelance writer who served in the U.S. Department of Education during the Obama Administration. He has published reports on school accountability; school finance; and teacher compensation, evaluation, and preparation. His work has been featured in the Washington Post, New York Times, and Wall Street Journal.

As someone who’s had firsthand experience in the ups and downs of the education reform movement, I agree with Matt calling it a “strange death.” Reformers did over-promise, and they did fail at scaling up once-promising ideas.

But we’ve now let the pendulum swing back too far, to a “lol, nothing matters” view on schools, and that’s wrong, too. The left has coalesced around the idea that schools just need more money and support and not much else. The right is using schools as a culture war scapegoat as it wins school choice battles. National media outlets are adding more fuel to those fires, rather than soberly monitoring how students are recovering from the pandemic.

Meanwhile, the essential insights behind the education reform movement have only gotten stronger: Schools matter for kids, schools can get better, and these questions are especially important for the disadvantaged students who rely on public schools the most.

Key insight: Schools matter

A recent working paper from a team of Brown and Harvard researchers helps illustrate the importance of schools. They studied Massachusetts students who entered ninth grade in 2002 and 2003 and measured college completion rates and labor market earnings at age 30. Because the authors were interested in the effects of the high schools, they controlled for student demographics, incoming test scores, parental levels of education, and the results of a unique survey that the students took as eighth graders asking about their plans for life after high school.

Now, there are a few things worth unpacking here. The first is that, when most people picture a “good school,” they might think of all the inputs the school has, such as the facilities or the teaching staff or the other students attending the school. But this paper was focused on measuring the unique contribution each school made to student outcomes. Did the school improve the trajectories of their students, or not?

It turns out that schools had a big, long-term effect on students. Low-income students who attended a high school at the 80th percentile of quality were 6 percentage points more likely to earn a bachelor’s degree and earned 13% more money (or about $3,600) per year at age 30.

Perhaps more importantly, the authors found that “good schools” could be found across the income distribution. In fact, the authors found basically no relationship between a school's poverty level and its effect on either college graduation or earnings.

These are not particularly novel findings within education. A study out of DC found that high schools with strong “promotion power” for high school graduation also had strong effects on college attendance. Another study out of Massachusetts found that high schools had a bigger effect on college attendance than on test scores.

It’s more equitable—and fair for the school leaders—to evaluate schools based on how much progress their students make, not on point-in-time “status” measures which tend to be more closely aligned with student demographics. Over time, state accountability systems have shifted toward growth measures, rather than merely rewarding (or punishing) a school based on their incoming students’ abilities. But it’s still hard to convince the public that school quality should be defined based on outcomes and not all of the surface-level inputs.

What does a good school do? The Massachusetts paper does a nice job peeling back the short-term indicators that are predictive of long-term success. It turns out that the proxy measures we have for measuring school quality, things like test scores, attendance, and other intermediate outcomes like college-going rates, are pretty good predictors of longer-term outcomes like completing college, finding a job, and earning a decent wage.

These may not be flashy or fashionable, but test scores, attendance, and credit accumulation all had an effect on later-life earnings. While these variables mostly operated independently of each other, the best high schools were ones that were able to both raise academic performance and elevate student aspirations for college. 

To be clear, the school quality effects are not large enough to “end poverty in our lifetimes” or any other such bold claims. But that’s setting an impossibly high standard, and we need to be open to a lot of small improvements rather than aiming for one policy to solve all of our problems.

Education Reform Nihilism

The downfall of the education reform movement, such as it was, stems from a lot of causes.

But we’ve now entered into what I think of as education reform nihilism, where nothing that we could possibly do to improve schools would matter all that much. This is best captured by a recent Freddie deBoer piece where he concludes that, “almost nothing moves the needle in academic outcomes. Almost nothing we try works.” 

He’s right, up to a point. But he misses the mark on two fronts. One, at the macro level student achievement has improved over time, and gaps are narrowing. DeBoer points to one study suggesting that achievement gaps have remained the same over time, but a more recent, peer-reviewed version of that same paper concludes, “Gaps in math, reading, and science achievement between the top and bottom quartiles of the SES distribution have closed by 0.05 standard deviation per decade.” Other papers come to similarly positive conclusions: Achievement scores are rising, and gaps are closing across income and racial lines.1

True, the progress here is painstaking and slow. As one of the papers noted, “At the current pace of closure, the achievement gap would not be eliminated until the second half of the 22nd Century.”

And this is where DeBoer, federal policymakers, and wealthy philanthropists have learned the wrong lessons. It’s not that reforms don’t “work” or that schools cannot improve. It’s more complicated than that. Lots of things can work—there’s a whole federal website called the What Works Clearinghouse documenting thousands of successful reform efforts—but they may not work the same way everywhere.

This is an important distinction, because it means policymakers need to keep their eyes focused on marginal improvements rather than trying to find one big fix. This is the exact opposite of what education policy has looked like over the last 20 years. Notable fads include:

  • A big national push on phonics-based reading instruction. Congress killed that program, but the evidence around the “science of reading” only got stronger, and there’s now a renewed policy push.

  • A philanthropy-driven effort helped districts break up large, low-performing high schools into smaller academies. That effort died before the positive results came in, but the idea for small schools is now rising again in a new form.

  • A publicly funded tutoring program for students in need of additional support. At its peak, the NCLB-funded tutoring program served nearly 1 million students at a cost of $2.3 billion a year. That version of tutoring did not deliver results at scale and was killed off by the Obama Administration, but the evidence on high-quality tutoring has only gotten stronger.

  • The Obama-era effort to improve teacher evaluation systems. The national effort has famously failed to improve student test scores, but teacher evaluation reforms have been effective in places—like Washington, DC—that tied the results to personnel decisions like compensation.

  • Alternative teacher preparation pathways. They were once seen as good ways to motivate young people to join the teaching profession, and the highest-profile program, Teach for America, produced strong results. It has been shrinking recently in part thanks to political pushback; meanwhile, new teacher residency models are growing rapidly.

The overarching lesson from these examples is that a whole lot of things can work, but they may not work the same everywhere. That’s ok! Matt also noted some concrete things we could do around air quality and school lunches. These might sound like small beer, but that’s exactly the point: We might have more success with a lot of small things—and tinkering over time—rather than searching for one magic thing.

We’ve lost the thread on school quality

So, schools matter. And we have a pretty good idea about what aspects of schooling matter and how to measure them. This isn’t new or revolutionary stuff. Robert Balfanz, an education researcher at Johns Hopkins University, has long urged schools to focus on the ABCs—A for Attendance, B for Behavior, and C for Course performance and credits—to identify kids who are at risk of dropping out.

Unfortunately, all of the key student indicators are currently pointing downward. Student achievement fell sharply in the wake of COVID-19 and students are still far below where they otherwise might be. About twice as many students were chronically absent last year than the year before the pandemic, and those rates are especially bad in large urban districts and among historically disadvantaged and low-income students. 

Behavioral problems are also rampant. School staff report a surge in disruptive behavior, and 84% of school leaders reported that the pandemic negatively affected behavioral development of students at their school.

We’re already starting to see some intermediate consequences for all this. College enrollment rates are still trending downwards, especially for recent high school graduates from low-income schools.

Of course it’s easier to identify these problems than it is to fix them, but the first step is acknowledging that these issues matter, and something can be done. We’re in a moment right now where policymakers need to re-focus on the importance of getting kids back on track.

1

The data for these three papers ends in 2015, 2015, and 2017, respectively. Achievement scores have fallen since then, particularly for lower-performing students and especially in the wake of COVID-19. But I’d attribute those declines, in part, to the “education reform nihilism” movement that was already taking root by then.

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Andreasj
699 days ago
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