Let's Know Things Podcast Por Colin Wright arte de portada

Let's Know Things

Let's Know Things

De: Colin Wright
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 A calm, non-shouty, non-polemical, weekly news analysis podcast for folks of all stripes and leanings who want to know more about what's happening in the world around them. Hosted by analytic journalist Colin Wright since 2016.

letsknowthings.substack.comColin Wright Política y Gobierno
Episodios
  • Pay Per Crawl

    Pay Per Crawl
    Jul 8 2025
    This week we talk about crawling, scraping, and DDoS attacks.We also discuss Cloudflare, the AI gold rush, and automated robots.Recommended Book: Annie Bot by Sierra GreerTranscriptAlongside the many, and at times quite significant political happenings, the many, and at times quite significant military conflicts, and the many, at times quite significant technological breakthroughs—medical and otherwise—flooding the news these days, there’s also a whole lot happening in the world of AI, in part because this facet of the tech sector is booming, and in part because while still unproven in many spaces, and still outright flubbing in others, this category of technology is already having a massive impact on pretty much everything, in some cases for the better, in some for the worse, and in some for better and worse, depending on your perspective.Dis- and misinformation, for instance, is a bajillion times easier to create, distribute, and amplify, and the fake images and videos and audio being shared, alongside all the text that seems to be from legit people, but which may in fact be the product of AI run by malicious actors somewhere, is increasingly convincing and difficult to distinguish from real-deal versions of the same.There’s also a lot more of it, and the ability to very rapidly create pretty convincing stuff, and to very rapidly flood all available communication channels with that stuff, is fundamental to AI’s impact in many spaces, not just the world of propaganda and misinformation. At times quantity has a quality all of its own, and that very much seems to be the case for AI-generated content as a whole.Other AI- and AI-adjacent tools are being used by corporations to improve efficiency, in some cases helping automated systems like warehouse robots assist humans in sorting and packaging and otherwise getting stuff ready to be shipped, as is the case with Amazon, which is almost to the point that they’ll have more robots in their various facilities than human beings. Amazon robots are currently assisting with about 75% of all the company’s global deliveries, and a lot of the menial, repetitive tasks human workers would have previously done are now being accomplished by robotics systems they’ve introduced to their shipping chain.Of course, not everyone is thrilled about this turn of events: while it’s arguably wonderful that robots are being subbed-in for human workers who would previously have had to engage in the sorts of repetitive, physical tasks that can lead to chronic physical issues, in many cases this seems to be a positive side-benefit of a larger effort to phase-out workers whenever possible, saving the company money over time by employing fewer people.If you can employ 100 people using robots instead of 1000 people sans-robots, depending on the cost of operation for those robots, that might save you money because each person, augmented by the efforts of the robots, will be able to do a lot more work and thus provide more value for the company. Sometimes this means those remaining employees will be paid more, because they’ll be doing more highly skilled labor, working with those bots, but not always.This is a component of this shift that for a long while CEOs were dancing around, not wanting to spook their existing workforce or lose their employees before their new robot foundation was in place, but it’s increasingly something they’re saying out loud, on investor calls and in the press, because making these sorts of moves are considered to be good for a company’s outlook: they’re being brave and looking toward a future where fewer human employees will be necessary, which implies their stock might be currently undervalued, because the potential savings are substantial, at least in theory.And it is a lot of theory at this point: there’s good reason to believe that theory is true, at least to some degree, but we’re at the very beginning phases of this seeming transition, and many companies that jumped too quickly and fired too many people found themselves having to hire them back, in some cases at great expense, because their production faltered under the weight of inferior automated, often AI-driven alternatives.Many of these tools simply aren’t as reliable as human employees yet. And while they will almost certainly continue to become more powerful and capable—a recent estimate suggested that the current wave of large-language-model-based AI systems, for instance, are doubling in power every 7 months or so, which is wild—speculations about what that will mean, and whether that trend can continue, vary substantially, depending on who you talk to.Something we can say with relative certainty right now, though, is that most of these models, the LLM ones, at least, not the robot-driving ones, were built using content that was gathered and used in a manner that currently exists in a legal gray area: it was scraped and amalgamated by these systems so that ...
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    18 m
  • Hurricane Tracking

    Hurricane Tracking
    Jul 1 2025
    This week we talk about the NOAA, FEMA, and the SSMIS.We also discuss Arctic ice, satellite resolution, and automated weather observation stations.Recommended Book: Superbloom by Nicholas CarrTranscriptThe National Oceanic and Atmospheric Administration, or NOAA, is a US scientific and regulatory agency that tackles an array of environmental, climatic, and weather-related issues, alongside its responsibilities managing oceanic ecosystems.So it’s in charge of managing fishing protections and making sure endangered species within US waters are taken care of, but it also does scientific exploration—mapping the ocean, for instance—it monitors atmospheric conditions and keeps tabs on the various cycles that influence global and US water, air, and temperature happenings, and it tracks macro- and micro-scale weather events.That latter responsibility means NOAA (which is the modern iteration of several other agencies, including the US Environmental Science Services Administration and the US Weather Bureau) also manages the US National Weather Service, which is the sub-agency that sends out hazardous weather statements when there are severe storms or tornadoes or other weather-related events of note in a given area, and which also provides weather forecast information that local experts on the ground use to make their own predictions.Most of what the National Weather Service puts out is in the public domain, which means anyone can access and use it, free of charge. That’s a pretty big deal, because the data they collect and informational products they distribute, including all those hazardous weather statements, are at times life and death, but they’re also a big part of what makes standard local weather services possible in the US—they help the FAA and other agencies do their jobs, and they help everyday people understand how hot or cold it’s going to be, whether to pack and umbrella for the day, and so on.To accomplish all this, the NOAA and its sub-agencies make use of a bunch of facilities and other tracking resources to collect, aggregate, and interpret all those data points, crunching them and spitting them back out as something intelligible and useful to their many end-users.They’ve got weather observation stations across the US, many of them automated surface observing stations, which are exactly what they sound like: automated stations that collect data about sky conditions, wind direction and speed, visibility, present weather conditions, temperature, dew point, and so on—most of these are close to airports, as this information is also vital for figuring out if it’s safe to fly, and if so, what accommodations pilots should be making for the weather and visibility and such—but they also collect data from smaller weather stations scattered across the country, around 11,000 of them, many operated by volunteers under the auspices of an effort called the Cooperative Observer Program that was established in 1890, and that’s paired with another volunteer data-collection effort called the Citizen Weather Observer Program.There are also weather buoys and weather ships lingering across the surface of the ocean and other bodies of water, tracking additional data like sea surface temperature and wave height at various points. And there are weather balloons which collect additional information about happenings further up in the atmosphere, alongside the many satellites in orbit that capture various sorts of data and beam that data down to those who can make use of it.Again, all of this data is collected and crunched and then turned into intelligible outputs for your local weather forecasters, but also the people who run airlines and fly planes, the folks out on boats and ships, people who are managing government agencies, scientists who are doing long-term research on all sorts of things, and everyday people who just want to know if it’ll be sunny, how hot it will be, and so on.There’s one more major client of the NOAA that’s worth noting here, too: the Department of Defense. And that relationship is a big part of what I want to talk about today, because it seems to be at the root of a major curtailing of weather-related data-sharing that was recently announced by the US government, much to the chagrin of the scientific community.—US President Trump has long voiced his skepticism about the NOAA.There have been claims that this disdain is the result of the agency having called him out on some bald-faced lies he told about hurricane projections during his first administration, when he reportedly altered an NOAA hurricane impact projection map with a Sharpie to support a misstatement he had previously made about a hurricane impacting Alabama; the hurricane in question was not anticipated to hit Alabama, Trump said it would, and he later altered a map in order to make it look like he was right, when all the data, and all the experts, say otherwise.Whether that’s true or not, the NOAA ...
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    16 m
  • The Strait of Hormuz

    The Strait of Hormuz
    Jun 24 2025
    This week we talk about OPEC, the Seven Sisters, and the price of oil.We also discuss fracking, Israel and Iran’s ongoing conflict, and energy exports.Recommended Book: Thirteen Ways to Kill Lulabelle Rock by Maud WoolfTranscriptThe global oil market changed substantially in the early 2000s as a pair of innovations—horizontal drilling and hydraulic fracturing—helped the plateauing US oil and gas market boom, unlocking a bunch of shale oil and gas deposits that were previously either entirely un-utilizable, or too expensive to exploit.This same revolution changed markets elsewhere, too, including places like Western Canada, which also has large shale oil and gas deposits, but the US, and especially the southern US, and even more especially the Permian Basin in Texas, has seen simply staggering boosts to output since those twin-innovations were initially deployed on scale.This has changed all sorts of dynamics, both locally, where these technologies and approaches have been used to tap ever-more fossil fuel sources, and globally, as previous power dynamics related to such resources have been rewired.Case in point, in the second half of the 20th century, OPEC, the Organization of the Petroleum Exporting Countries, which is a predominantly Middle Eastern oil cartel that was founded by Iran, Iraq, Kuwait, Saudi Arabia, and Venezuela in 1960, was a dominant force in geopolitics, as they collaboratively set global oil prices, and thus, were able to pull the strings connected to elections, war, and economic outcomes in nations around the world.If oil prices suddenly spiked, that could cause an incumbent leader in a country a hemisphere away to lose their next election, and if anyone threatened one of their number, they could conceivably hold back resources from that country until they cooled down.Before OPEC formed and established their position of primacy in global energy exports, the so-called Seven Sisters corporations, which consisted of a bunch of US and European companies that had basically stepped in and took control of global oil rights in the early 20th century, including oil rights across the Middle East, were the loci of power in this space, controlling about 85% of the world’s petroleum reserves as of the early 1970s.That same decade, though, a slew of governments that hosted Seven Sisters facilities and reserves nationalized these assets, which in practice made all these reserves and the means of exploiting them the government’s property, and in most cases they were then reestablished under new, government-controlled companies, like Saudi Aramco in Saudi Arabia and the National Iranian Oil Company in Iran.In 1973 and 1979, two events in the Middle East—the Yom Kippur War, during which pretty much all of Israel’s neighbors launched a surprise attack against Israel, and the Iranian Revolution, when the then-leader of Iran, the Shah, who was liberalizing the country while also being incredibly corrupt, was overthrown by the current government, the militantly Islamist Islamic Republic of Iran—those two events led to significant oil export interruptions that triggered oil shortages globally, because of how dominant this cartel had become.This shortage triggered untold havoc in many nations, especially those that were growing rapidly in the post-WWII, mid-Cold War world, because growth typically requires a whole lot of energy for all the manufacturing, building, traveling around, and for basic, business and individual consumption: keeping the lights on, cooking, and so on.This led to a period of stagflation, and in fact the coining of the term, stagflation, but it also led to a period of heightened efficiency, because nations had to learn how to achieve growth and stability without using so much energy, and it led to a period of all these coming-out-of-stagflation and economic depression nations trying to figure out how to avoid having this happen again.So while OPEC and other oil-rich nations were enjoying a period of relative prosperity, due in part to those elevated energy prices—after the initial downsides of those conflicts and revolutions had calmed, anyway—other parts of the world were making new and more diversified deals, and were looking in their own backyards to try to find more reliable suppliers of energy products.Parts of the US were already major oil producers, if not at the same scale as these Middle Eastern giants in the latter portion of the 20th century, and many non-OPEC producers in the US, alongside those in Norway and Mexico, enjoyed a brief influx of revenue because of those higher oil prices, but they, like those OPEC nations, suffered a downswing when prices stabilized; and during that price collapse, OPEC’s influence waned.So in the 1980s, onward, the previous paradigm of higher oil prices led to a surge in production globally, everyone trying to take advantage of those high prices to invest in more development and production assets, and that led to a ...
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    19 m
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