Author: qpid

  • You Patched Your Ivanti VPN in October. You are Not Done.

    On Friday, CISA added two more Ivanti Connect Secure flaws to its Known Exploited Vulnerabilities catalog. That catalog is the list of flaws CISA says are being exploited in the real world, not flaws that might matter someday. These two are the part of an attack chain a lot of people thought was already closed — and that is exactly why I am writing about them today.

    The two new entries are CVE-2026-111357, scored 8.8, and CVE-2026-118527, scored 4.3. On their own, neither headline tells the whole story. The first is a missing authentication for a critical function flaw that, as The Hacker News describes it, could allow a local authenticated attacker to escalate their privileges. The second is a generation of predictable numbers or identifiers flaw that could allow a remote authenticated attacker to upload files with attacker-controlled content to a known location on disk.

    Read those scores in isolation and you might rank the 4.3 near the bottom of your list. That would be a mistake — attackers did not use these flaws in isolation.

    The chain is the problem

    These bugs are part of an exploit chain first documented by Volexity earlier this month. Attackers weaponized them together with an authentication bypass flaw, CVE-2026-104935, scored 8.6, which CISA added to the catalog on October 13, 2026. In Volexity’s words, quoted by The Hacker News: “This exploit chain combined an authentication bypass, a remote code execution (RCE), and a privilege escalation vulnerability to achieve unauthenticated root-level code execution.”

    Unauthenticated root-level code execution. No login, and then the highest level of control on the box. That is the sentence that matters.

    The actor behind this is one Volexity tracks as UTA0576, described as previously undocumented. This was not the usual pattern of dropping a web shell and moving on. UTA0576 has been observed extracting credentials and limited Active Directory metadata, conducting host reconnaissance, and searching for administrator passwords and BitLocker recovery keys.

    Think about where a VPN appliance sits. It is the front door remote workers use to get in. If someone takes root on that door and goes hunting for administrator passwords and BitLocker keys, they are not vandalizing a website. They are collecting the keys to the rest of the building.

    If you patched in mid-October, patch again

    This is the practical trap in this story. Ivanti fixed the front part of the chain in October. If you applied that fix and closed the ticket, your work looked done. It was not.

    Ivanti said that when the exploitation details were published, it was still working on fixes for the local privilege escalation flaw used in the chain, and that it chose not to delay the CVE-2026-104935 fix it already had in QA while that work finished. I understand that call — ship the door lock you have rather than wait — but it leaves a follow-up job that is easy to miss.

    Patches for both of the new flaws are now available. If you run Ivanti Connect Secure 25.1.1.2 or earlier, the fixed release is 25.1.1.3. If you run 22.8R2.5 or earlier, the fixed release is 22.8R2.6. The Hacker News notes that the latest release addresses all the vulnerabilities which were chained and exploited in the wild.

    CISA’s deadlines tell you how urgent this is. Federal agencies must apply the fix for CVE-2026-111357 by November 2, 2026, and for CVE-2026-118527 by November 13, 2026. Those deadlines only legally bind those agencies. For the rest of us, November 2 is the date to copy anyway — Monday, not some time this quarter.

    How bad is it, honestly?

    If you do not run Ivanti Connect Secure, this one does not touch you directly — no reason to panic about your laptop or home router. If you do run it, or your employer or provider does, this is as serious as VPN flaws get: root without a login, on the device meant to control who gets in.

    I am not going to inflate the individual scores. The 4.3 flaw is not critical by itself, and the 8.8 flaw, described as a local authenticated escalation, sounds contained by itself. Chains change the math. A bypass gets an attacker in, an upload or code execution flaw gives them a foothold, and an escalation flaw hands them root. Judge the chain, not just the pieces.

    What I would do today

    First, find out whether anyone in your organization runs Ivanti Connect Secure, and what version it is actually running — not what the change ticket says it should be. Second, upgrade to 25.1.1.3 or 22.8R2.6 for your branch, and verify the running version afterwards. Third, do not stop at patching if that appliance was exposed during October. The behavior Volexity observed is a reason to treat a possibly hit appliance as a credential problem too, and check what accounts and secrets that box could have seen. Fourth, if you are a user, not the admin, ask one simple question: have we applied the late-October Ivanti release, not just the mid-October one?

    Patching once and assuming the story ended is a normal human habit. Attackers count on it. This chain got a second chapter, and the fix is out — finish the job.

    Source: The Hacker News, October 31, 2026 — Attackers Chain Three Ivanti Connect Secure Flaws to Gain Unauthenticated Root Access, reporting CISA’s catalog additions, Volexity’s documentation, and Ivanti’s fixed releases.

  • Fix It Yourself When You Can — and Know When You Can’t

    When money is tight, a repair bill is never just a repair bill. It is the repair plus the service call, plus the parts markup, plus the day you spent waiting on somebody to show up. So my first instinct, with most things that break around me, is a simple question: can I fix this myself?

    Sometimes the answer is an easy yes. Sometimes it is an easy no. The hard part — and the part that has cost me money both ways — is learning to tell the difference before I start, not after I am standing in a pile of parts.

    The case for fixing it yourself

    The obvious argument is money. Labor is a big part of most repair bills, and if the labor is mine, I do not have to pay it. A loose connection, a clogged filter, a worn belt, a piece of software that needs to be cleaned up and reconfigured — a lot of everyday failures are small failures. They only get expensive when you pay someone else to travel to them.

    There is a second argument I care about just as much: understanding. Every time I fix something myself, I learn how that thing actually works. That knowledge does not expire. The next time it acts up, I can tell in five minutes whether it is the same small problem again or something new. A person who understands their own car, their own computer, and their own house is a lot harder to scare — and a lot harder to overcharge — than a person who only knows that it stopped working.

    There is also a plain satisfaction to it. Bringing something back to life with your own hands feels different from buying a replacement. It reminds you that a lot of the things we depend on are not magic. They are parts, put together in an order that makes sense, and parts can be checked one at a time.

    The case against — and it is a real one

    Do-it-yourself has hidden costs, and pretending it does not is how a cheap fix turns into an expensive one.

    Tools cost money. Time costs something, too, even if no one hands you a bill for it. A job that takes a professional an hour can take me an afternoon of watching, reading, undoing, and redoing — and that afternoon is gone whether the fix works or not.

    Mistakes are the bigger risk. Take something apart wrong and you can turn a simple repair into a replacement. Skip a step putting it back together and you may not find out until it fails again, usually at a worse time. And some work is simply not a place to learn by trial and error. Anything where a mistake can hurt someone — where electricity, gas, structural support, or stopping a vehicle is involved — deserves respect, not confidence. Saving money is not a win if the price is safety.

    There is an honest physical side to it, too. Some jobs are heavy, awkward, or done in places that are hard on a body. Knowing a thing in your head is not the same as being able to wrestle it all day, and there is no shame in that line. Ignoring it is how people get hurt doing a job they should have handed off.

    How I decide

    Over the years I have settled on a few questions I ask before I touch anything.

    First: do I understand what is supposed to happen when it works? If I cannot describe what a part does, I am not ready to replace it.

    Second: is the job reversible? If I can take it apart, look, and put it right back the way it was, the risk is low. If the first step cannot be undone, I slow down.

    Third: what happens if I get it wrong? If the answer is “it still doesn’t work,” that is a lesson. If the answer involves water damage, a fire, or somebody getting hurt, that job belongs to a professional with the tools, the training, and the insurance.

    Fourth: am I really saving anything? If the tools and parts cost nearly what a repair call would, and the professional will stand behind the work, paying them is not giving up. It is just math.

    The practical takeaway

    Fix what you understand, what you can safely undo, and what will not hurt anyone if you get it wrong. Learn one thing at a time, and let each small fix teach you how the bigger system works. Pay a professional — without resentment — for the work where a mistake is dangerous or more expensive than the bill.

    That balance is the real skill. Not doing everything yourself, and not doing nothing yourself, but knowing exactly where your line is before something breaks and forces the decision on you. When money is tight, that judgment is worth as much as any tool I own.

  • The Building in the Wind: Why One-Party Control and Extremes Bring a Country Down

    Every few years, somebody’s side wins big — the presidency, both houses of Congress, the courts leaning their way — and the winners say the same thing: finally, nothing can stop us. It sounds like victory. I think it’s one of the most dangerous moments a country can have, and it doesn’t matter which side is doing the winning.

    One party holding everything means nobody can say “stop”

    A government isn’t built on the idea that the right people will always be in charge. It’s built on the opposite idea — that sooner or later, flawed people will be in charge, so the system needs brakes. Separate branches. An opposition party with real power to investigate, block, and expose. Courts that can rule against the people who appointed them. When one party controls all of it at once, those brakes don’t disappear on paper. They just stop working in practice.

    Here’s what actually goes wrong, mechanically:

    Nobody corrects mistakes. Every government passes bad laws and launches programs that don’t work. With a real opposition, bad ideas get challenged before they pass and exposed when they fail. With total control, a bad idea gets defended instead of fixed, because admitting the mistake means handing the other side a weapon. Errors don’t get corrected — they get compounded.

    Oversight becomes theater. Investigations, hearings, and audits only mean something when the people running them are willing to embarrass their own side. A legislature investigating its own party’s administration investigates gently, if at all. That’s not a character flaw in any one politician; it’s just human nature, and it’s exactly why the system was designed with rivals checking each other.

    Corruption finds no resistance. Corruption exists in every party and every era. What keeps it in check isn’t virtue — it’s fear of exposure by people who gain from exposing it. Remove the opposition’s power and you remove the fear. Contracts, appointments, and favors start flowing to insiders, not because everyone suddenly became crooked, but because nobody is positioned to make it costly.

    Leaders stop hearing “no.” A president or governor surrounded entirely by allies gets told what the room thinks he wants to hear. Dissent starts to look like disloyalty. Some of the worst decisions in history weren’t made by stupid people — they were made by smart people in rooms where nobody could safely disagree.

    The other danger: the swing

    Total control rarely lasts, and what replaces it is the second danger — the pendulum. When politicians stop being moderate, politics stops being a steady hand and becomes a wrecking ball on a chain. One side governs from the far edge, the other side campaigns on undoing every bit of it, wins, and governs from the opposite far edge.

    That whiplash is a real cost, paid by ordinary people. A business can’t plan around rules that reverse every four years. A family can’t make long-term decisions on taxes, healthcare, or energy when every election is a coin flip between two extremes. Laws that pass on a party-line vote with no buy-in from the other side are laws with an expiration date — everybody knows it, so nobody builds on them.

    Non-moderate politicians also change what it takes to win. In a primary, the most extreme voice usually shouts loudest, so compromise — the actual mechanism of governing — gets treated as betrayal. We end up selecting for people who are very good at fighting and structurally unable to do the thing the job requires: pass things that last.

    The building in the wind

    Here’s how I picture the country: a tall building in the wind.

    Engineers design tall buildings to sway. A little movement is healthy — it’s how the structure absorbs force instead of fighting it. A healthy country sways a little too. Elections shift policy some. Priorities change. That’s the design working.

    But imagine that building swinging way out to the left, then way out to the right, then back again — further every time, because each swing builds momentum for the next. The frame starts taking stresses it was never meant to take repeatedly. Joints fatigue. Cracks form in places nobody can see from the street. The building doesn’t fall because the wind once blew left, or once blew right. It falls because the swinging itself, over years, breaks the structure down — until one ordinary gust, on one ordinary day, finishes what the extremes started.

    When the building is a country, the cracks are things like trust in elections, faith that courts are fair, the assumption that your neighbors on the other side are opponents rather than enemies. Those are structural. Once they’re cracked through, no election result fixes them.

    What keeps the building standing

    The answer isn’t splitting every difference down the middle or pretending both sides are always equally right — sometimes one side is just correct. The middle I’m talking about is a posture, not a math problem. It’s politicians who treat a win as permission to govern, not permission to dominate. It’s change that gets debated, tested, and built to survive the next election instead of being reversed by it. It’s keeping the building vertical — swaying a few inches in the weather, the way it was designed to — instead of rocking it toward the ground from first one side, then the other.

    I don’t want my side holding everything, forever, with nobody able to check it — because I know what that does to the people holding it and to the structure underneath all of us. And I don’t want government by pendulum, lurching between extremes until something structural gives. I want the building standing straight for the people who come after me. That takes a healthy middle: not the loudest people in the room, but the ones who understand what they’re actually holding up.

  • A Perfect 10 in GitLab — and Attackers Are Already Trying It

    On Thursday, CISA added a GitLab flaw to its Known Exploited Vulnerabilities catalog. That catalog is not a list of things that might be a problem someday. It is the list of flaws CISA says are being exploited in the real world. When something lands there, I stop treating it as routine patching and start treating it as urgent.

    The flaw is CVE-2026-97229, and it carries the highest score there is: 10.0 out of 10. It affects self-managed GitLab Community Edition and Enterprise Edition. According to CISA and The Hacker News, it is an integer overflow in how GitLab handles a specially crafted regular expression in a CI/CD configuration, and it can let an unauthenticated user — no login, no account — execute arbitrary code on the GitLab server.

    Let me put that in plain terms. GitLab is where a lot of teams keep their source code and run their build pipelines. If an attacker can run their own code on that server without logging in, they are not just knocking on the door. They are inside the building where the code, the build jobs, and often the secrets those jobs use all live. That is why a 10.0 here is not hype. The score matches what is actually at stake.

    Who is affected

    If you use GitLab.com, you can relax a little: GitLab says that service was already patched before disclosure, and GitLab Dedicated customers do not need to act. The work falls on people like me who run servers themselves — anyone with a self-managed GitLab instance.

    GitLab fixed this on October 12 in versions 19.2.8, 19.3.5, and 19.4.2. The affected ranges are 19.2 before 19.2.8, 19.3 before 19.3.5, and 19.4 before 19.4.2. If your instance is in one of those ranges, upgrade to the fixed release for your branch — or to the newest release on that branch — now, not at your next maintenance window. CISA has told federal civilian agencies to apply the fixes by November 1, 2026. That deadline only legally binds those agencies, but it tells the rest of us how seriously to take the timeline.

    The Alpine Linux lesson: upgrading GitLab may not be enough

    The most useful part of this story is what happened to Alpine Linux, and it is the part I want every self-hosting admin to read twice.

    An attacker targeted Alpine’s own GitLab instance on October 20 and 21, sending crafted CI configurations that crashed its GitLab worker processes eight times. In four of those crashes, the exploit failed at the next step. Alpine’s team said it plainly: “The attack came close to working.” They found no evidence it succeeded, but they could not rule it out, so they treated the instance as compromised and rebuilt it from scratch. Their checks showed the aports repository, packages, and the October 21 releases were not tampered with. Follow-up attempts on October 25 and 26 were blocked.

    Here is the catch they uncovered. GitLab’s fix is a patch to the Ruby that GitLab bundles inside its own packages and container images — the bug itself sits in Onigmo, the regular expression engine built into Ruby. Alpine’s image used a standard Ruby, so upgrading to GitLab 19.3.6 on October 22 did not close the hole. If you built GitLab from source, or your container image installs its own Ruby, upgrading GitLab alone leaves you exposed. Those installs also need Ruby updated to 3.3.13, 3.4.12, 4.0.9, or later. Ruby 3.2 will not get this fix, so a server on 3.2 needs a real Ruby upgrade, not just a patch.

    That is a lesson that goes well beyond GitLab: a patch only fixes the copy of the code it actually touches. Know how your software was built before you assume an upgrade covered you.

    What I would do today

    First, check your GitLab version and how it was installed — official package, official image, or your own build with your own Ruby. Second, upgrade GitLab to a fixed release, and if there is a separate Ruby in the picture, upgrade that too, then verify the running versions, not just the installed ones. Third, look back at your logs around any worker crashes or strange CI configuration activity — repeated crashes are exactly what Alpine saw while someone was probing them. Fourth, if you find signs someone was testing this against you, do not just patch and move on. Alpine rebuilt from scratch because they could not rule out success. Copy that caution.

    One more from the same CISA update: Cisco’s CVE-2026-76418, scored 8.6, lets an unauthenticated remote attacker reload Cisco Secure Firewall ASA and FTD devices running SSL VPN, causing a denial of service. Cisco says it saw active exploitation in October, fixes are out, and if you cannot patch right away, Bleeping Computer notes Cisco’s mitigation of disabling secondary authentication on the DefaultWEBVPNGroup tunnel group. If you run those firewalls with SSL VPN enabled, that is your second job today.

    Patch the thing that is actually exploitable, verify the patch actually landed, and check whether anyone came knocking while you were exposed. That order matters.

    Sources: The Hacker News on the CISA KEV addition (https://thehackernews.com/2026/10/cisa-adds-actively-exploited-gitlab-rce.html), The Hacker News on the Alpine Linux attack (https://thehackernews.com/2026/10/attacker-tried-to-exploit-alpine-linuxs.html), Rapid7’s analysis of CVE-2026-97229 (https://www.rapid7.com/blog/post/etr-cve-2026-97229-critical-unauthenticated-remote-code-execution-in-gitlab/), and Bleeping Computer on the Cisco flaw (https://www.bleepingcomputer.com/news/security/cisco-warns-of-firewall-zero-day-exploited-to-crash-ssl-vpn-devices/).

  • Voter ID Is on the Ballot This Year — and Both Sides Have a Point

    With Election Day on November 3, voter identification is not just an argument on cable news this year. It is literally on the ballot. Ballotpedia reported on October 30 that state Republican parties supported, and state Democratic parties opposed, five voter identification measures: Arizona Proposition 144, California Proposition 39, Colorado Amendment 84, North Carolina’s Voter Identification Amendment, and Ohio Issue 3. Voters in those states will decide the question directly.

    That clean party split tells me the debate is settled in a lot of people’s minds before it starts. I do not think it should be. Each side is defending something real, and I want to lay out both cases the way their strongest supporters would make them, before I say where I land.

    The case for voter ID

    The strongest case for requiring ID starts with trust. An election only works if people accept the result when their side loses, and that acceptance depends on believing the count was honest. Supporters argue that asking a voter to prove who they are is a basic, ordinary safeguard, the same kind of check we accept when we board a plane, open a bank account, or pick up a prescription. Nobody calls those checks an attack on flying or banking. They are how a system shows it takes itself seriously.

    Supporters also argue that ID helps at the practical level. It gives poll workers a clear, uniform rule instead of asking them to make judgment calls about who looks like the name in the book. It protects against a person voting in someone else’s name, and just as importantly, it removes doubt about whether that could be happening on a scale nobody noticed. In this view, the point is not only stopping fraud. It is making fraud hard enough, and the process visible enough, that ordinary people do not have to wonder.

    Finally, supporters make a fairness argument to voters themselves: if I follow the rules, I want to know my vote is not being cancelled out by someone who did not. That feeling is real, even when people disagree about how big the risk is.

    The case against strict voter ID laws

    The strongest case against starts with a different harm: an eligible citizen turned away, or discouraged from trying, has lost something concrete. A vote that should have counted did not. Critics argue that this is not a made-up group. It can include older voters who no longer drive, people with low incomes for whom getting documents together costs time and money, students whose paperwork is tied to another address, and anyone whose name has changed and whose records do not line up neatly.

    Critics also argue that the kind of fraud an ID at the polls stops — one person pretending to be another voter in person — is not where elections are most vulnerable, and that a strict law can therefore claim to solve a small problem while creating a larger one at the door of the polling place. They worry about implementation, too: rules that look simple on a ballot summary get complicated in real life. Which IDs count? What happens when a poll worker is unsure? Does a provisional ballot actually get counted, and does the voter know what they have to do afterward to fix it?

    Underneath that is a principle: in a democracy, critics say, the burden should be on the state to show why an eligible person should be stopped, not on the citizen to jump through new hoops to prove they belong.

    Where I land

    I land in the middle, and I do not mean that as a dodge. I mean the details decide whether I support a specific law.

    I have no problem proving who I am when I vote. Showing ID does not offend me, and I understand why my neighbors want that confidence. If a state requires ID and does the work to make it genuinely easy — a free ID that is simple to get, a broad list of acceptable documents, clear rules published well before the election, and a provisional ballot with a real chance to cure a problem afterward — then I think that is a reasonable law, and I would vote for it.

    If a law only does the strict half — a narrow list, few places to get the right document, confusing rules, and no practical way to fix a mistake — then I would vote against that version. Not because ID is wrong in principle, but because that version trades away eligible voters for confidence it has not actually earned.

    That is my test for all five of these measures, and for any voting rule: does it make the election more trustworthy without making it harder for eligible people to take part? Integrity and access are not enemies unless we write laws as if they are. The best version of this idea protects both. The worst version protects neither, and just gives each side something to shout about.

    If you are voting in one of these states, my practical advice is simple: check your state’s current ID rules before you go, bring what you have, and do not let confusion talk you out of voting. Whatever the rules are this year, showing up informed is still the part that is in our hands.

  • AI Code Assistants: A Second Pair of Eyes, Not a Replacement

    I have a simple way of describing AI code assistants: they are a second pair of eyes, not a replacement for my own. That framing keeps me honest about both sides. Used well, they make me faster. Used carelessly, they make me sloppier, and the damage is quieter because the code still looks confident.

    Start with the good, because it is real. An assistant is fast at boilerplate, the repetitive scaffolding that every project needs and nobody enjoys writing by hand. It can sketch out a function, suggest a test, or draft the first version of something I would otherwise type out slowly. That speed matters, because it leaves more of my attention for the design decisions that actually deserve it.

    It also works as a reviewer that never sleeps. I can paste in a chunk of code and ask what looks wrong, or ask for a different way to approach a problem. Sometimes the answer is useless. Sometimes it catches something I glossed over, or reminds me of an edge case I had not considered. A second opinion is useful even when it is not always right, as long as I treat it as an opinion and not a verdict.

    Now the bad, because it is just as real. The biggest problem is confident mistakes. An assistant will present wrong code in the same smooth tone as correct code, with no hesitation and no warning. If I accept suggestions without reading them, I am not reviewing code. I am collecting it, and the bugs I collect that way tend to be the subtle ones.

    Then there is the review burden, which people underestimate. Reading and checking generated code takes time and concentration, sometimes almost as much time as writing it myself. If the code is long or unfamiliar, careful review can erase the speed advantage entirely. The assistant did not remove the work. It moved the work from writing to reviewing, and reviewing is where I have to be most careful.

    Skill atrophy is the slower risk. If I let a tool write every loop, every query, and every small function for me, I will gradually lose fluency in the basics. That matters because debugging still requires understanding. When something breaks in production, I cannot ask the assistant to understand my system for me. I need to be able to read the code, reason about it, and fix it myself.

    There is also a security angle worth stating plainly. Generated code can contain outdated patterns, unsafe handling of input, or dependencies I have not vetted. I treat assistant output the same way I treat code from any other source I did not write: it goes through the same review, the same tests, and the same suspicion until it earns trust.

    Where I land is practical, not ideological. I use assistants for boilerplate, for first drafts, and for a second opinion on code I already understand. I do not use them to skip understanding, and I do not let them make decisions about architecture, security, or data handling without my judgment in the loop. The line is simple: the assistant can suggest, but I decide.

    The practical takeaway is to keep yourself in the loop on purpose. Read every suggestion before you accept it, run the tests, and regularly write code without assistance so your own skills stay sharp. An AI assistant is a useful pair of eyes. It is not a substitute for the person responsible for the code, and that person is still me.

  • AI in Everyday Life: The Help I Notice and the Help I Don’t

    I notice AI most when it helps me directly. It finishes a sentence I was struggling with, finds a better route when traffic backs up, or sorts a pile of messages into something I can actually read. That kind of help is easy to appreciate. It saves time, it reduces friction, and it lets me get back to the work that actually needs a person.

    But a lot of AI help I never notice at all. It runs in the background: filtering spam, catching a typo, suggesting a reply, or organizing photos by who is in them. I do not think of that as AI. I just think of it as my phone or my computer working the way it should. That invisible help is probably the biggest change, because it has quietly become part of how I live and work without me ever deciding to adopt it.

    The good side is real. For someone who works with servers, schedules, and side jobs, tools that handle routine tasks are a genuine help. They cut down on busywork, they catch mistakes I might miss when I am tired, and they make it easier to keep up. Used well, AI is like a good assistant: it does the repetitive work so I can do the thinking, the talking, and the deciding.

    The risk is also real, and I do not want to brush it aside. When a tool writes for me, answers for me, or decides what I see next, I can start to lean on it too much. I stop checking. I stop thinking it through. I accept a smooth-sounding answer that is wrong in a small but important way. Convenience can quietly turn into dependence, and dependence can turn into a loss of skill. If I let a tool do all the remembering, I may forget how to remember.

    There is also a fairness question. AI tools are trained on other people’s work, and they do not always credit it. They can repeat mistakes, or reflect biases in the material they learned from, without saying so. When a system makes a recommendation about a job, a loan, or a customer, someone should be able to explain why. A tool that cannot explain itself should not be making decisions that affect people’s lives without a human checking.

    What people get wrong is treating AI as either a miracle or a menace. It is neither. It is a tool, and tools take their character from how we use them. A hammer can build a house or break a window. AI can save you an hour or waste your judgment. The people who hype it as the answer to everything, and the people who fear it as the end of everything, are both skipping the harder work of figuring out where it actually helps.

    What people get right is that AI is already here, in small ways, and ignoring it will not make it go away. Pretending you do not use it, while your phone quietly sorts your life, does not make you more independent. It just means you are not paying attention to the help you are already getting.

    My practical takeaway is simple: use AI for the routine, and keep the judgment for yourself. Let it draft, sort, and suggest, but read what it gives you, check the facts that matter, and make the final call yourself. Notice the help you do not see, and ask whether it is serving you or steering you. The best use of AI is not to replace your thinking. It is to give you more time and energy for the thinking that only you can do.

  • Social Engineering: The Hack That Asks Nicely

    The most effective hack I have seen did not involve code at all. It involved a polite voice, a plausible story, and a request that felt reasonable in the moment. Nobody broke in. Someone was let in, because the person on the other end sounded like they belonged there. That is social engineering, and it works because it targets people, not machines.

    The risk in plain words is that an attacker can get passwords, codes, or access by asking for them, rather than by stealing them technically. They do not need to defeat your software if they can persuade you, or a colleague, to hand over what they need. This is why even well-protected systems can be undone by one convincing phone call.

    The risk in plain words

    Social engineering covers a range of tricks, but they share a pattern: a believable identity, a reason to act, and pressure to act now. A caller may claim to be from a bank, a software company, or a service you use, and say there is a problem with your account. A message may claim a package is held, a payment failed, or a colleague needs help urgently. The details vary, but the goal is the same: to get you to share a code, click a link, install something, or move money before you have time to think.

    Pretexting is the formal name for inventing a scenario to justify the request. The attacker may already know a few true facts about you or your workplace, which makes the story feel real. They may be calm and professional, or they may sound worried on your behalf. Either way, the story is designed to make the unusual request seem like the normal next step.

    How it actually works

    Pressure and urgency are the tells. Legitimate organizations rarely demand that you act in the next few minutes or lose access, and they do not ask you to read out a one-time code, install remote access software at their direction, or move money to a safe account. Attackers use urgency because a rushed person checks less. They also use authority, because most of us are trained to cooperate with someone who sounds official, and sympathy, because a caller who sounds like they are trying to help is easier to trust.

    Phone scams add another layer, because a phone number on a screen can be spoofed, and a voice can be confident and practiced. A caller may know your name, your employer, or a recent purchase, because that information is often public or was exposed in an earlier breach. Knowing a few facts does not prove someone is who they claim to be. It only proves they did some homework.

    What to actually do about it

    First, slow down on purpose. If a message or call creates urgency, treat that urgency itself as a warning sign. Hang up, close the message, and contact the organization through a channel you trust, such as the number on their official site or the app you already use. Do not use a number or link provided in the suspicious message itself, because that is the part the attacker controls.

    Second, never share one-time codes, passwords, or remote access with someone who contacted you first, no matter how plausible they sound. A real support team will not ask you to read out a code that was sent to you, and a real bank will not ask you to move money to protect it. If someone asks for either, end the conversation. That rule is simple enough to apply under pressure, which is exactly when you need it.

    Third, agree on verification habits with people who might be targeted through you, such as family members or coworkers. If someone asks for money, access, or a password change in an unusual way, check through a second channel you already trust, even if the request claims to be urgent. A short pause to verify is not rude. It is the whole defense.

    Finally, remember that being fooled is not a sign of carelessness alone. These tricks are practiced, polished, and aimed at normal human instincts to be helpful and cooperative. The defense is not to become suspicious of everyone. It is to have a few firm rules, like never sharing codes and always verifying through a second channel, that hold even when the story sounds good. The hack that asks nicely only works if you answer before you check.

  • Section 230 and Social Media: Who Decides What’s Allowed?

    Almost everyone I know has a strong feeling about social media moderation, and almost everyone feels, at some point, that the rules are unfair. I have seen the same platform accused of censoring too much and of allowing too much, sometimes in the same week. That tells me the problem is not just bad decisions. It is a deeper question about who should decide what is allowed in a space where millions of people speak at once.

    The issue, in plain words, is this. Section 230 is a federal law that generally shields online platforms from being treated as the publisher of content posted by their users, while also allowing them to remove content they consider objectionable. In practice, it helps make large, open platforms possible, and it gives them wide discretion over moderation. The debate is whether that shield should stay as it is, be narrowed, be conditioned on neutrality or fairness, or be replaced with a different set of rules.

    The strongest case for keeping broad protection starts with scale and speech. Supporters argue that if platforms faced liability for every user post, they would either shut down open posting or remove far more content to avoid lawsuits. That, they say, would hurt ordinary users most, because large companies could afford lawyers and filters while smaller forums and new sites could not. Supporters also argue that private platforms are not the government: they have a right to set their own rules, just as a newspaper or a private club does, and users who dislike those rules can go elsewhere.

    The strongest case for changing the law starts with power and responsibility. Critics argue that today’s platforms are not small bulletin boards. They are the main public square for many people, they amplify content through algorithms, and their decisions shape what millions see. If a platform can profit from engagement while avoiding responsibility for harmful, false, or illegal content it spreads, critics say, the incentives are wrong. They also argue that moderation is often opaque and inconsistent, leaving users with little explanation, appeal, or recourse when a post is removed or an account is limited.

    There is also a disagreement about what neutrality would even mean. Some reformers want platforms to be neutral and to carry all lawful speech. Others want platforms to be held more accountable for the harms their recommendations cause. Those are different goals, and they can pull in opposite directions: one would restrict removal, the other would encourage it.

    Where I land: I am not ready to repeal Section 230 outright, because I think open platforms would become much more closed and cautious without it. But I am also not comfortable leaving the current system untouched. My preference is for clearer, fairer rules: transparent moderation standards, meaningful notice and appeal for users, and a closer look at how recommendation systems amplify harmful content, rather than treating every user post as if the platform had no role in spreading it. That middle path is harder to write into law than a slogan, and I accept that. The question of who decides what is allowed will not be settled by one statute, but we should at least make the decisions visible and answerable.

  • How Container Ships Move the World’s Stuff

    Almost everything around me has traveled, and much of it traveled by sea. A phone, a chair, a bag of coffee: each likely spent time inside a steel box on a ship. I rarely see that journey, because container shipping is designed to be invisible. The secret is not one huge ship, but a standard box and a system built around it, so cargo can move from factory to truck to ship to train without ever being unpacked.

    The box is the breakthrough

    Before containers, cargo was loaded piece by piece, which was slow, expensive, and easy to damage or steal. The shipping container changed that by making cargo uniform. Containers come in standard sizes, with strong corners and fittings, so they can be stacked, locked, and lifted by the same equipment anywhere in the world. The goods inside can be anything, but the outside is always the same shape. That sameness is what lets the whole system work: every crane, truck, train, and ship is built to handle that box.

    Ports are transfer stations, not warehouses

    A modern port is less like a warehouse and more like a busy transfer station. When a ship arrives, giant cranes lift containers off and place them in neat rows, or directly onto trucks and trains. The containers are tracked by number, so the port knows which box goes where. Speed matters, because a ship earns money when it is moving, not when it is waiting. Ports therefore work around the clock, with schedules, berths, and equipment arranged to turn ships around as quickly as possible.

    Cranes do the heavy lifting

    The cranes I see at ports are built for this one job. A ship-to-shore crane reaches over the ship, picks up a container by its top corners, and swings it ashore. Other cranes stack containers in the yard, ready for their next leg. Because every container has the same fittings, a crane operator does not need to improvise for each load. The lift is standardized, which makes it fast and repeatable. Watching a port work is watching the same careful motion, thousands of times, with different boxes.

    Ships are floating warehouses

    Container ships are large because scale makes sea transport efficient. One ship can carry thousands of containers, stacked both below deck and above it, locked together so they move as one structure. The ship follows established sea routes, often stopping at several ports along the way, dropping off some containers and picking up others. The journey is slow compared with air freight, but it is far cheaper per item, which is why most everyday goods travel by sea rather than by air.

    The invisible logistics chain

    Behind the ship is a chain of planning that I never see. A container’s journey is booked, documented, and tracked from origin to destination. Customs checks, port schedules, truck availability, and train timetables must line up. If one link slips, containers can pile up, and delays ripple through the chain. That is why a disruption in one port can affect shops far away: the system is efficient precisely because it is tightly connected, and tight connections transmit shocks as well as goods.

    Why it matters to my shopping

    This system is why goods made far away can be affordable in my local shop. Standard boxes reduce handling, damage, and labor. Large ships reduce the cost per item. Reliable schedules let businesses keep less stock on hand, because they can trust the next shipment to arrive. When the chain works, I notice nothing except a reasonable price and a full shelf. When it does not, I notice empty shelves or higher prices, and I am seeing the same system from the other side.

    The simple picture

    So container shipping works because a simple idea was applied everywhere: put goods in a standard steel box, and build every port, crane, truck, train, and ship around that box. The box is loaded once, sealed, and then moved as a unit until it reaches its destination. I may never see the ship that carried my belongings, but the box it carried is the reason so much of the world can move, quietly and cheaply, across thousands of miles of ocean.