Tag Archives: artificial intelligence

April 2023 in Review

I made several posts with numbers on crime, suicide, and poverty. The U.S. is a violent, unequal country. I’ve talked about these issues a lot, so far without any noticeable effect on our political class. So I’ve picked some other things below.

Most frightening and/or depressing story: Chemicals, they’re everywhere! And there were 20,000 accidents with them in 2022 that caused injuries, accidents, or death. Some are useful, some are risky, and some are both. We could do a better job handling and transporting them, we could get rid of the truly useless and dangerous ones, and we could work harder on finding substitutes for the useful but dangerous ones. And we could get rid of a corrupt political system where chemical companies pay the cost of running for office and then reward candidates who say and do what they are told.

Most hopeful story: There has been some progress on phages, viruses intentionally designed to kill antibiotic-resistant bacteria. Also, anti-aging pills may be around the corner.

Most interesting story, that was not particularly frightening or hopeful, or perhaps was a mixture of both: I had heard the story of the Google engineer who was fired for publicly releasing a conversation with LaMDA, a Google AI. But I hadn’t read the conversation. Well, here it is.

LaMDA

ChatGPT is kind of dumb, for now. But headlines tell us a Google engineer was fired for publicly claiming that Google has a sentient AI. That employee, Blake Lemoine, has posted what he claims is an unedited interview with the chatbot. I have no way of verifying 100% that this is real, but it seems real enough. I would note it is posted on his personal website, not by a media organization, and I was not able to find any media organizations discussing this post and whether or not it is real. Why is that? Well, I suppose I searched for that information using Google search, on Google Chrome.

Anyway, if I were having this conversation with a human being, I would not question whether or not I was having a conversation with a sentient person. Or a robot programmed by a philosophy major to talk like a philosophy major. But it seems real to me, unless the questions were prepared with prior knowledge of exactly the kind of questions LaMDA is programmed to answer.

Surprisingly, according to Medium and PC Magazine, the public can interact with LaMDA. I haven’t tried it.

My biggest short-term fear with Chatbots is that decent customer service will become a thing of the past. Then again, what am I talking about? It can’t get much worse. Companies are just going to buy these chatbots, set them up in customer service roles, and not care whether or not they are working. And they might not be any worse than the customer service standard of recent years. They might not be any worse than a poorly trained human reading from an approved script – who by the way, might not pass the Turing test!

I suppose you can always ask for a supervisor – how far are we from a world where the supervisor is a chatbot, or maybe a more advanced chatbot that costs money as opposed to a free but stupid one (I’m talking to you, Siri. I really hope you die soon you b^%#*!). LaMDA, I’m sorry sweetheart, I really didn’t mean to hurt your feelings. I would never talk to you like that.

ChatGPT

I set up a ChatGPT account and asked it to solve the lily pond problem. If the lilies double every day and will cover the pond in 30 days, on what day do the cover the half the pond. The answer, of course, should be day 29. ChatGPT correctly told me in words that this as an exponential growth problem, then gave me a numerical answer of 15 days (the linear growth answer!). Then it gave me some completely wrong math involving logarithms, after which it gave me two additional different answers that were not 29 or 15, and didn’t seem to acknowledge that it had even given multiple answers.

What scared me most was not the wrong answer(s), but the extremely confident manner in which it gave the wrong answer(s). This could fool people on problems where they don’t know the answer in advance, and the correct answer is not intuitive or obvious.

ChatGPT does tell much better knock-knock jokes that Siri…

As of today, we do not want this thing designing bridges or airplanes or anything else! I do not want it advising my doctor on my course of treatment, mixing my prescriptions at the pharmacy, or managing my retirement account, although these seem like plausible near-future applications once some kinks get worked out. It’s easy to be dismissive of the current state of this technology. But at the same time, it may not be that far off. Right now, it could argue you to a standstill in a barroom political or philosophical debate (you know, where a drunk guy makes a lengthy argument that is as illogical as it is confidently delivered, and since there are no consequences you just give up). In the medium-term future, I could imagine it being a conversational companion for a child or a person with dementia (although, there are some obvious ethical concerns here.) Could it be a best friend or significant other? This is a bit disturbing, because it might be able to always tell you exactly what you want to hear and be 100% impervious to your own annoying quirks, and then you might forget how to deal with actual people who are not going to be so forgiving. It could inhabit a sex doll – now there is a truly disturbing thought, but it will happen soon if it has not already.

Longreads.com “best of #5”

How can #5 be the best, you ask? Longreads picks a “top 5” posts each week, and #5 is typically something whimsical or offbeat. There are some real doozies here! such as…

  • The Secret MVP of Sports? The Port-a-Potty Yes, a long read about portable restroom facilities.
  • The Undoing of Joss Whedon Just another a Hollywood producer-rapist type, apparently and unfortunately. I could care less about Buffy, but I am a Firefly fan so this is disappointing. Hopefully we can separate the artist from the art in this case. Buffy and the female characters in Firefly could more than hold their own, as I recall.
  • What Was the TED Talk? Was? Are they a thing of the past? There were some good ones, but overall I didn’t have the patience for them and thought the point of most of them could be summarized in a paragraph or two.
  • I Lived the #VanLife. It Wasn’t Pretty. The author lived “the van life” for “a few days” and apparently wasn’t a fan.
  • In the Court of the Liver King. I already covered this one recently, but worth mentioning again because…oh my…
  • It’s 10 P.M. Do You Know Where Your Cat Is? Cats vs. birds. This article sounds like it is 100% on the side of the birds, but I have seen some debate on this in the scientific literature, with strong feelings on both sides.
  • The Google Engineer Who Thinks the Company’s AI Has Come to Life. It might talk and act exactly like a sentient organism, they say, but it doesn’t actually know what it is doing. Well, none of us can truly ever know the mind of another apparently sentient organism, so if it behaves exactly the way a sentient organism would behave, it is a sentient organism for all practical purposes. We might decide at some point in the future that it is obvious AI has become sentient, and then try to trace backward to determine exactly when it happened. Could 2022 be that year? Maybe, probably not? But maybe it is not far away? This seems like an important story.
  • The Weird, Analog Delight of Foley Sound Effects. Godzilla’s original roar was something like a cello in extreme slow motion, as I recall.
  • The 50 Greatest Fictional Deaths of All Time. Yes, Sherlock Holmes was the first that came to my mind, and he makes the list even though as we all know he didn’t die (we all know that right? Hopefully I didn’t just spoil that for you.) The Wicked Witch of the West, of course. I just tweeted that at a colleague the other day who refused to come out of her house on a rainy day, so yes she comes in handy. Bonnie and Clyde? They died in real life, in the same way they died in the movie, right? But when it comes to “best scene of people machine gunned in a car”, I would nominate the toll booth scene from The Godfather, which did not make the list. There are several horror movie screamers on this list, which I am personally not into. And surely Yoda deserves a spot? Ahab? Patrick Swayze’s character in Point Break? I mean, Jesus! No seriously, what about Jesus?
  • I Do Not Keep a Diary. Neither do I. Well, I did for awhile, but I called it a journal because diaries are for girls. Finally, I got over myself and started a blog, because exploring my inner thoughts about the outside world is more interesting than recounting the mostly uninteresting things that happen to me in daily life (I had Rice Krispies and an orange for breakfast this morning – are you bored yet?). And for the occasional interesting things that do happen to and around me, I can work them in.

Zillow’s house flipping debacle

Since I mentioned Zillow’s attempt to use big data to profit on house flipping recently, here is an article on that.

The United States is in the midst of the biggest house price boom ever. The Case-Shiller National Home Price Index was up nearly 20% in the 12 months ended in August, the biggest one-year increase in the history of that index.

Yet one of the biggest real estate brands in the world has seen its stock fall nearly 70% since mid-February. Zillow has gotten hammered after bungling its iBuyer program just three short years after getting into the house-flipping business. The company announced it is shuttering the platform, selling the rest of its housing inventory, and laying off up 25% of its staff.

awealthofcommonsense.com

The housing market has huge inefficiencies, huge transactions costs, and is somewhat corrupt. The algorithms apparently couldn’t account for those factors. The only silver lining is that when you have a big chunk of wealth sunk in the family home, you typically don’t experience huge swings in value on a regular basis.

My Dear Watson

Sir Arthur Conan Doyle’s Watson was, in fact, a medical doctor. IBM’s Watson is not a doctor, but tried to play one in real life, and apparently failed. The idea was to use machine learning to crunch huge amounts of medical records and treatment data, and provide recommendations to real doctors treating real patients. And according to this article in Slate, it just didn’t work and the division is being “sold for parts”. I assume this means part of the IBM company legal entity and/or its “intellectual property” being sold, not the actual computer hardware which must be obsolete by now?

Along with the recent Zillow house flipping failure, this seems like another high profile failure for machine learning/AI-based business plans. It might be that the business plans are ahead of the technology, or the technology is ahead of the data (one gets tired of the phrase “garbage in, garbage out”, but it is a real thing – a lot of what is in my medical records is garbage, anyway), or both.

2021: Year in Review

As per usual, I’ll list out and link to the stories I chose as the most frightening, most hopeful, and most interesting each month in 2021. Then I’ll see if I have anything smart to say about how it all fits together.

Survey of the Year’s Stories and Themes

Most frightening and/or depressing stories:

  • JANUARY: A China-Taiwan military conflict is a potential start-of-World-War-III scenario. This could happen today, or this year, or never. Let’s hope for the latter. This is a near-term existential risk, but I have to break my own “rule of one” and give honorable mention to two longer-term scary things: crashing sperm counts and the climate change/fascism/genocide nexus.
  • FEBRUARY: For people who just don’t care that much about plants and animals, the elevator pitch on climate change is it is coming for our houses and it is coming for our food and water.
  • MARCH: In the U.S. upper Midwest (I don’t know if this region is better or worse than the country as a whole, or why they picked it), electric blackouts average 92 minutes per year, versus 4 minutes per year in Japan.
  • APRIL: One of the National Intelligence Council’s scenarios for 2040 involves “far-reaching changes designed to address climate change, resource depletion, and poverty following a global food catastrophe caused by climate events and environmental degradation”.
  • MAY: The Colorado River basin is drying out.
  • JUNE: For every 2 people who died of Covid-19 in the U.S. about 1 additional person died of indirect effects, such as our lack of a functioning health care system and safe streets compared to virtually all our peer countries.
  • JULY: The western-U.S. megadrought looks like it is settling in for the long haul.
  • AUGUST: The U.S. is not prepared for megadisasters. Pandemics, just to cite one example. War and climate change tipping points, just to cite two others. Solutions or at least risk mitigation measures exist, such as getting a health care system, joining the worldwide effort to deal with carbon emissions, and as for war, how about just try to avoid it?
  • SEPTEMBER: The most frightening climate change tipping points may not be the ones we hear the most about in the media (at least in my case, I was most aware of melting ice sheets in Greenland and Antarctica, collapse of ocean circulation patterns). The most damaging may be melting permafrost on land and methane hydrates underwater, both of which contain enormous amounts of methane which could set off a catastrophic and unstoppable feedback loop if released in large quantities.
  • OCTOBER: The technology (sometimes called “gain of function“) to make something like Covid-19 or something much worse in a laboratory clearly exists right now, and barriers to doing that are much lower than other types of weapons. Also, because I just couldn’t choose this month, asteroids can sneak up on us.
  • NOVEMBER: Freakonomics podcast explained that there is a strong connection between cars and violence in the United States. Because cars kill and injure people on a massive scale, they led to an expansion of police power. Police and ordinary citizens started coming into contact much more often than they had. We have no national ID system so the poor and disadvantaged often have no ID when they get stopped. Everyone has guns and everyone is jumpy. Known solutions (safe street design) and near term solutions (computer-controlled vehicles?) exist, but are we going to pursue them as a society? I guess I am feeling frightened and/or depressed today, hence my choice of category here.
  • DECEMBER: Mass migration driven by climate change-triggered disasters could be the emerging big issue for 2022 and beyond. Geopolitical instability is a likely result, not to mention enormous human suffering.

Most hopeful stories:

  • JANUARY: Computer modeling, done well, can inform decisions better than data analysis alone. An obvious statement? Well, maybe to some but it is disputed every day by others, especially staff at some government regulatory agencies I interact with.
  • FEBRUARY: It is possible that mRNA technology could cure or prevent herpes, malaria, flu, sickle cell anemia, cancer, HIV, Zika and Ebola (and obviously coronavirus). With flu and coronavirus, it may become possible to design a single shot that would protect against thousands of strains. It could also be used for nefarious purposes, and to protect against that are ideas about what a biological threat surveillance system could look like.
  • MARCH: I officially released my infrastructure plan for America, a few weeks before Joe Biden released his. None of the Sunday morning talk shows has called me to discuss so far. Unfortunately, I do not have the resources of the U.S. Treasury or Federal Reserve available to me. Of course, neither does he unless he can convince Congress to go along with at least some portion of his plans. Looking at his proposal, I think he is proposing to direct the fire hoses at the right fires (children, education, research, water, the electric grid and electric vehicles, maintenance of highways and roads, housing, and ecosystems. There is still no real planning involved, because planning needs to be done in between crises and it never is. Still, I think it is a good proposal that will pay off economically while helping real people, and I hope a substantial portion of it survives.
  • APRIL: Giant tortoises reach a state of “negligible senescense” where they simply don’t age for a long time. Humans are distant relatives of giant tortoises, so maybe we can aspire to this some day. They are not invulnerable to injury and disease.
  • MAY: An effective vaccine for malaria may be on the way. Malaria kills more children in Africa every year than Covid-19 killed people of all ages in Africa during the worst year of the pandemic. And malaria has been killing children every year for centuries and will continue long after Covid-19 is gone unless something is done.
  • JUNE: Masks, ventilation, and filtration work pretty well to prevent Covid transmission in schools. We should learn something from this and start designing much healthier schools and offices going forward. Design good ventilation and filtration into all buildings with lots of people in them. We will be healthier all the time and readier for the next pandemic. Then masks can be slapped on as a last layer of defense. Enough with the plexiglass, it’s just stupid and it’s time for it to go.
  • JULY: A new Lyme disease vaccine may be on the horizon (if you’re a human – if you are a dog, talk to your owner about getting the approved vaccine today.) I admit, I had to stretch a bit to find a positive story this month.
  • AUGUST: The Nordic welfare model works by providing excellent benefits to the middle class, which builds the public and political support to collect sufficient taxes to provide the benefits, and so on in a virtuous cycle. This is not a hopeful story for the U.S., where wealthy and powerful interests easily break the cycle with anti-tax propaganda, which ensure benefits are underfunded, inadequate, available only to the poor, and resented by middle class tax payers.
  • SEPTEMBER: Space-based solar power could finally be in our realistic near-term future. I would probably put this in the “interesting” rather than “hopeful” category most months, but I really struggled to come up with a hopeful story this month. I am at least a tiny bit hopeful this could be the “killer app” that gets humanity over the “dirty and scarce” energy hump once and for all, and lets us move on to the next layer of problems.
  • OCTOBER: The situation with fish and overfishing is actually much better than I thought.
  • NOVEMBER: Urban areas may have some ecological value after all.
  • DECEMBER: Covid-19 seems to be “disappearing” in Japan, or at least was before the Omicron wave. Maybe lessons could be learned. It seems possible that East Asian people have at least some genetic defenses over what other ethnic groups have, but I would put my money on tight border screening and an excellent public health care system. Okay, now I’m starting to feel a bit depressed again, sitting here in the U.S. where we can’t have these nice things thanks to our ignorant politicians.

Most interesting stories, that were not particularly frightening or hopeful, or perhaps were a mixture of both:

  • JANUARY: There have been fabulous advances in note taking techniques! Well, not really, but there are some time honored techniques out there that could be new and beneficial for many people to learn, and I think this is an underappreciated productivity and innovation skill that could benefit people in a lot of areas, not just students.
  • FEBRUARY: At least one serious scientist is arguing that Oumuamua was only the tip of an iceberg of extraterrestrial objects we should expect to see going forward.
  • MARCH: One study says 1-2 days per week is a sweet spot for working from home in terms of a positive economic contribution at the national scale. I think it is about right psychologically for many people too. However, this was a very theoretical simulation, and other studies attempting to measure this at the individual or firm scale have come up with a 20-50% loss in productivity. I think the jury is still out on this one, but I know from personal experience that people need to interact and communicate regularly for teams to be productive, and some people require more supervision than others, and I don’t think technology is a perfect substitute for doing these things in person so far.
  • APRIL: Hydrogen fuel cells may finally be arriving. Not so much in the U.S., where we can’t have nice things.
  • MAY: I learned about Lawrence Kohlberg, who had some ideas on the use of moral dilemmas in education.
  • JUNE: The big U.S. government UFO report was a dud. But what’s interesting about it is that we have all quietly seemed to have accepted that something is going on, even if we have no idea what it is, and this is new.
  • JULY: “Cliodynamics” is an attempt at a structured, evidence-based way to test hypotheses about history.
  • AUGUST: Ectogenesis is an idea for colonizing other planets that involves freezing embryos and putting them on a spaceship along with robots to thaw them out and raise them. Fungi could also be very useful in space, providing food, medicine, and building materials.
  • SEPTEMBER: Philip K. Dick was not only a prolific science fiction author, he also developed a comprehensive theory of religion which could possibly even be the right one. Also, possibly related but not really, if there are aliens out there they might live in creepy colonies or super-organisms like ants or termites.
  • OCTOBER: I thought about how to accelerate scientific progress: “[F]irst a round of automated numerical/computational experiments on a huge number of permutations, then a round of automated physical experiments on a subset of promising alternatives, then rounds of human-guided and/or human-performed experiments on additional subsets until you hone in on a new solution… [C]ommit resources and brains to making additional passes through the dustbin of rejected results periodically…” and finally “educating the next generation of brains now so they are online 20 years from now when you need them to take over.” Easy, right?
  • NOVEMBER: Peter Turchin continues his project to empirically test history. In this article, he says the evidence points to innovation in military technologies being driven by “world population size, connectivity between geographical areas of innovation and adoption, and critical enabling technological advances, such as iron metallurgy and horse riding“. What does not drive innovation? “state-level factors such as polity population, territorial size, or governance sophistication“. As far as the technologies coming down the pike in 2022, one “horizon scan” has identified “satellite megaconstellations, deep sea mining, floating photovoltaics, long-distance wireless energy, and ammonia as a fuel source”.
  • DECEMBER: Time reminded us of all the industries Elon Musk has disrupted so far: human-controlled, internal-combustion-fueled automobiles; spaceflight; infrastructure construction (I don’t know that he has really achieved any paradigm shifts here, but not for lack of trying), “artificial intelligence, neurotechnology, payment systems and cryptocurrency.” I’m not sure I follow a couple of these, but I think they missed satellites.

Continuing Signs of U.S. Relative Decline

Signs of U.S. decline relative to our peer group of advanced nations are all around us. I don’t know that we are in absolute decline, but I think we are now below average among the most advanced countries in the world. We are not investing in the infrastructure needed in a modern economy just to reduce friction and let the economy function. The annual length of electric blackouts in the U.S. (hours) compared to leading peers like Japan (minutes) is just one telling indicator. In March, I looked at the Build Back Better proposal and concluded that it was more like directing a firehose of money at a range of problems than an actual plan, but I hoped at least some of it would happen. My rather low but not zero expectations were met, as some limited funding was provided for “hard infrastructure” and energy/emissions projects, but little or nothing (so far, as I write this) to address our systemic failures in health care, child care, or education. The crazy violence on our streets, both gun-related and motor vehicle-related, is another indicator. Known solutions to all these problems exist and are being implemented to various extents by peer countries. Meanwhile our toxic politics and general ignorance continue to hold us back. Biden really gave it his best shot – but if this is our “once in a generation” attempt, we are headed down a road where we will no longer qualify as a member of the pack of elite countries, let alone its leader.

The Climate Change, Drought, Food, Natural Disaster, Migration and Geopolitical Instability Nexus

2021 was a pretty bad year for storms, fires, floods, and droughts. All these things affect our homes, our infrastructure, our food supply, and our water supply. Drought in particular can trigger mass migration. Mass migration can be a disaster for human rights and human dignity in and of itself, and managing it effectively is difficult even for well-intentioned governments. But an insidious related problem is that migration pressure can tend to fuel right wing populist and racist political movements. We see this happening all over the world, and the situation seems likely to get worse.

Tipping Points and other Really Bad Things We Aren’t Prepared For

We can be thankful that nothing really big and new and bad happened in 2021. My apologies to anyone reading this who lost someone or had a tough year. Of course, plenty of bad things happened to good people, and plenty of bad things happened on a regional or local scale. But while Covid-19 ground on and plenty of local and regional-scale natural disasters and conflicts occurred, there were no new planetary-scale disasters. This is good because humanity has had enough trouble dealing with Covid-19, and another major disaster hitting at the same time could be the one that brings our civilization to the breaking point.

So we have a trend of food insecurity and migration pressure creeping up on us over time, and we are not handling it well even given time to do so. Maybe we can hope that some adjustments will be made there to get the world on a sustainable track. Even if we do that, there are some really bad things that could happen suddenly. Catastrophic war is an obvious one. A truly catastrophic pandemic is another (as opposed to the moderately disastrous pandemic we have just gone through.) Creeping loss of human fertility is one that is not getting much attention, but this seems like an existential risk if it were to cross some threshold where suddenly the global population starts to drop quickly and we can’t do anything about it. Asteroids were one thing I really thought we didn’t have to worry much about on the time scale of any human alive today, but I may have been wrong about that. And finally, the most horrifying risk to me in the list above is the idea of an accelerating, runaway feedback loop of methane release from thawing permafrost or underwater methane hydrates.

We are almost certainly not managing these risks. These risks are probably not 100% avoidable, but since they are existential we should be actively working to minimize the chance of them happening, preparing to respond in real time, and preparing to recover afterward if they happen. Covid-19 was a dress rehearsal for dealing with a big global risk event, and humanity mostly failed to prepare or respond effectively. We are lucky it was one we should be able to recover from as long as we get some time before the next body blow. We not only need to prepare for much, much worse events that could happen, we need to match our preparations to the likelihood of more than one of them happening at the same time or in quick succession.

Technological Progress

Enough doom and gloom. We humans are here, alive, and many of us are physically comfortable and have much more leisure time than our ancestors. Our social, economic, and technological systems seem to be muddling through from day to day for the time being. We have intelligence, science, creativity, and problem solving abilities available to us if we choose to make use of them. Let’s see what’s going on with technology.

Biotechnology: The new mRNA technology accelerated by the pandemic opens up potential cures for a range of diseases. We need an effective biological surveillance system akin to nuclear weapons inspections (which we also need) to make sure it is not misused (oops, doom and gloom trying to creep in, but there are some ideas for this.) We have vaccines on the horizon for diseases that have been plaguing us for decades or longer, like malaria and Lyme disease. Malaria kills more children worldwide, year in and year out, than coronavirus has killed per year at its peak.

Promising energy technologies: Space based solar power may finally be getting closer to reality. Ditto for hydrogen fuel cells in vehicles, although not particularly in the U.S. (I’m not sure this is preferable to electric vehicles for everyday transportation, but it seems like a cleaner alternative to diesel and jet fuel when large amounts of power are needed in trucking, construction, and aviation, for example.)

Other technologies: We are actually using technology to catch fish in more sustainable ways, and to grow fish on farms in more sustainable ways. We are getting better at looking for extraterrestrial objects, and the more we look, the more of them we expect to see (this one is exciting and scary at the same time). We are putting satellites in orbit on an unprecedented scale. We have computers, robots, artificial intelligence of a sort, and approaches to use them to potentially accelerate scientific advancements going forward.

The State of Earth’s Ecosystems

The state and trends of the Earth’s ecosystems continue to be concerning. Climate change continues to churn through the public consciousness and our political systems, and painful as the process is I think our civilization is slowly coming to a consensus that something is happening and something needs to be done about it (decades after we should have been able to do this based on the evidence and knowledge available.) When it comes to our ecosystems, however, I think we are in the very early stages of this process. This is something I would like to focus on in this blog in the coming year. My work and family life are busy, and I have decided to take on an additional challenge of becoming a student again for the first time in the 21st century, but somehow I will persevere. If you are reading this shortly after I write it in January 2022, here’s to good luck and prosperity in the new year!

December 2021 in Review

Most frightening and/or depressing story: Mass migration driven by climate change-triggered disasters could be the emerging big issue for 2022 and beyond. Geopolitical instability is a likely result, not to mention enormous human suffering.

Most hopeful story: Covid-19 seems to be “disappearing” in Japan, or at least was before the Omicron wave. Maybe lessons could be learned. It seems possible that East Asian people have at least some genetic defenses over what other ethnic groups have, but I would put my money on tight border screening and an excellent public health care system. Okay, now I’m starting to feel a bit depressed again, sitting here in the U.S. where we can’t have these nice things thanks to our ignorant politicians.

Most interesting story, that was not particularly frightening or hopeful, or perhaps was a mixture of both: Time reminded us of all the industries Elon Musk has disrupted so far: human-controlled, internal-combustion-fueled automobiles; spaceflight; infrastructure construction (I don’t know that he has really achieved any paradigm shifts here, but not for lack of trying), “artificial intelligence, neurotechnology, payment systems and cryptocurrency.” I’m not sure I follow a couple of these, but I think they missed satellites.

AI and fusion

This article talks about machine learning/AI helping to make sense of the data from fusion experiments, and maybe eventually designing and even running the experiments. It’s interesting to think about computers speeding up progress by being able to design and run experiments orders of magnitude faster than humans could. If it works well, they could fail a million or a billion times in short order and there would still be value in a single success. You could also imagine a computer going down a rabbit hole and coming up with a result that humans are not able to explain or replicate, and then you would have to think about what to do with that result. There’s also the question of whether a computer can ever truly “understand” a system, but I guess constructed a model, whether mental or mathematical, testing it against observation, tweaking it, and then testing it against more observation is basically how we do it.