#Hackaday links

[mostlysignssomeportents]

Big Tech’s “attention rents”

Tomorrow (Nov 4), I'm keynoting the Hackaday Supercon in Pasadena, CA.

The thing is, any feed or search result is "algorithmic." "Just show me the things posted by people I follow in reverse-chronological order" is an algorithm. "Just show me products that have this SKU" is an algorithm. "Alphabetical sort" is an algorithm. "Random sort" is an algorithm.

Any process that involves more information than you can take in at a glance or digest in a moment needs some kind of sense-making. It needs to be put in some kind of order. There's always gonna be an algorithm.

But that's not what we mean by "the algorithm" (TM). When we talk about "the algorithm," we mean a system for ordering information that uses complex criteria that are not precisely known to us, and than can't be easily divined through an examination of the ordering.

There's an idea that a "good" algorithm is one that does not seek to deceive or harm us. When you search for a specific part number, you want exact matches for that search at the top of the results. It's fine if those results include third-party parts that are compatible with the part you're searching for, so long as they're clearly labeled. There's room for argument about how to order those results – do highly rated third-party parts go above the OEM part? How should the algorithm trade off price and quality?

It's hard to come up with an objective standard to resolve these fine-grained differences, but search technologists have tried. Think of Google: they have a patent on "long clicks." A "long click" is when you search for something and then don't search for it again for quite some time, the implication being that you've found what you were looking for. Google Search ads operate a "pay per click" model, and there's an argument that this aligns Google's ad division's interests with search quality: if the ad division only gets paid when you click a link, they will militate for placing ads that users want to click on.

Platforms are inextricably bound up in this algorithmic information sorting business. Platforms have emerged as the endemic form of internet-based business, which is ironic, because a platform is just an intermediary – a company that connects different groups to each other. The internet's great promise was "disintermediation" – getting rid of intermediaries. We did that, and then we got a whole bunch of new intermediaries.

Usually, those groups can be sorted into two buckets: "business customers" (drivers, merchants, advertisers, publishers, creative workers, etc) and "end users" (riders, shoppers, consumers, audiences, etc). Platforms also sometimes connect end users to each other: think of dating sites, or interest-based forums on Reddit. Either way, a platform's job is to make these connections, and that means platforms are always in the algorithm business.

Whether that's matching a driver and a rider, or an advertiser and a consumer, or a reader and a mix of content from social feeds they're subscribed to and other sources of information on the service, the platform has to make a call as to what you're going to see or do.

These choices are enormously consequential. In the theory of Surveillance Capitalism, these choices take on an almost supernatural quality, where "Big Data" can be used to guess your response to all the different ways of pitching an idea or product to you, in order to select the optimal pitch that bypasses your critical faculties and actually controls your actions, robbing you of "the right to a future tense."

I don't think much of this hypothesis. Every claim to mind control – from Rasputin to MK Ultra to neurolinguistic programming to pick-up artists – has turned out to be bullshit. Besides, you don't need to believe in mind control to explain the ways that algorithms shape our beliefs and actions. When a single company dominates the information landscape – say, when Google controls 90% of your searches – then Google's sorting can deprive you of access to information without you knowing it.

If every "locksmith" listed on Google Maps is a fake referral business, you might conclude that there are no more reputable storefront locksmiths in existence. What's more, this belief is a form of self-fulfilling prophecy: if Google Maps never shows anyone a real locksmith, all the real locksmiths will eventually go bust.

If you never see a social media update from a news source you follow, you might forget that the source exists, or assume they've gone under. If you see a flood of viral videos of smash-and-grab shoplifter gangs and never see a news story about wage theft, you might assume that the former is common and the latter is rare (in reality, shoplifting hasn't risen appreciably, while wage-theft is off the charts).

In the theory of Surveillance Capitalism, the algorithm was invented to make advertisers richer, and then went on to pervert the news (by incentivizing "clickbait") and finally destroyed our politics when its persuasive powers were hijacked by Steve Bannon, Cambridge Analytica, and QAnon grifters to turn millions of vulnerable people into swivel-eyed loons, racists and conspiratorialists.

As I've written, I think this theory gives the ad-tech sector both too much and too little credit, and draws an artificial line between ad-tech and other platform businesses that obscures the connection between all forms of platform decay, from Uber to HBO to Google Search to Twitter to Apple and beyond:

https://pluralistic.net/HowToDestroySurveillanceCapitalism

As a counter to Surveillance Capitalism, I've proposed a theory of platform decay called enshittification, which identifies how the market power of monopoly platforms, combined with the flexibility of digital tools, combined with regulatory capture, allows platforms to abuse both business-customers and end-users, by depriving them of alternatives, then "twiddling" the knobs that determine the rules of the platform without fearing sanction under privacy, labor or consumer protection law, and finally, blocking digital self-help measures like ad-blockers, alternative clients, scrapers, reverse engineering, jailbreaking, and other tech guerrilla warfare tactics:

https://pluralistic.net/2023/01/21/potemkin-ai/#hey-guys

One important distinction between Surveillance Capitalism and enshittification is that enshittification posits that the platform is bad for everyone. Surveillance Capitalism starts from the assumption that surveillance advertising is devastatingly effective (which explains how your racist Facebook uncles got turned into Jan 6 QAnons), and concludes that advertisers must be well-served by the surveillance system.

But advertisers – and other business customers – are very poorly served by platforms. Procter and Gamble reduced its annual surveillance advertising budget from $100m//year to $0/year and saw a 0% reduction in sales. The supposed laser-focused targeting and superhuman message refinement just don't work very well – first, because the tech companies are run by bullshitters whose marketing copy is nonsense, and second because these companies are monopolies who can abuse their customers without losing money.

The point of enshittification is to lock end-users to the platform, then use those locked-in users as bait for business customers, who will also become locked to the platform. Once everyone is holding everyone else hostage, the platform uses the flexibility of digital services to play a variety of algorithmic games to shift value from everyone to the business's shareholders. This flexibility is supercharged by the failure of regulators to enforce privacy, labor and consumer protection standards against the companies, and by these companies' ability to insist that regulators punish end-users, competitors, tinkerers and other third parties to mod, reverse, hack or jailbreak their products and services to block their abuse.

Enshittification needs The Algorithm. When Uber wants to steal from its drivers, it can just do an old-fashioned wage theft, but eventually it will face the music for that kind of scam:

https://apnews.com/article/uber-lyft-new-york-city-wage-theft-9ae3f629cf32d3f2fb6c39b8ffcc6cc6

The best way to steal from drivers is with algorithmic wage discrimination. That's when Uber offers occassional, selective drivers higher rates than it gives to drivers who are fully locked to its platform and take every ride the app offers. The less selective a driver becomes, the lower the premium the app offers goes, but if a driver starts refusing rides, the wage offer climbs again. This isn't the mind-control of Surveillance Capitalism, it's just fraud, shaving fractional pennies off your paycheck in the hopes that you won't notice. The goal is to get drivers to abandon the other side-hustles that allow them to be so choosy about when they drive Uber, and then, once the driver is fully committed, to crank the wage-dial down to the lowest possible setting:

https://pluralistic.net/2023/04/12/algorithmic-wage-discrimination/#fishers-of-men

This is the same game that Facebook played with publishers on the way to its enshittification: when Facebook began aggressively courting publishers, any short snippet republished from the publisher's website to a Facebook feed was likely to be recommended to large numbers of readers. Facebook offered publishers a vast traffic funnel that drove millions of readers to their sites.

But as publishers became more dependent on that traffic, Facebook's algorithm started downranking short excerpts in favor of medium-length ones, building slowly to fulltext Facebook posts that were fully substitutive for the publisher's own web offerings. Like Uber's wage algorithm, Facebook's recommendation engine played its targets like fish on a line.

When publishers responded to declining reach for short excerpts by stepping back from Facebook, Facebook goosed the traffic for their existing posts, sending fresh floods of readers to the publisher's site. When the publisher returned to Facebook, the algorithm once again set to coaxing the publishers into posting ever-larger fractions of their work to Facebook, until, finally, the publisher was totally locked into Facebook. Facebook then started charging publishers for "boosting" – not just to be included in algorithmic recommendations, but to reach their own subscribers.

Enshittification is modern, high-tech enabled, monopolistic form of rent seeking. Rent-seeking is a subtle and important idea from economics, one that is increasingly relevant to our modern economy. For economists, a "rent" is income you get from owning a "factor of production" – something that someone else needs to make or do something.

Rents are not "profits." Profit is income you get from making or doing something. Rent is income you get from owning something needed to make a profit. People who earn their income from rents are called rentiers. If you make your income from profits, you're a "capitalist."

Capitalists and rentiers are in irreconcilable combat with each other. A capitalist wants access to their factors of production at the lowest possible price, whereas rentiers want those prices to be as high as possible. A phone manufacturer wants to be able to make phones as cheaply as possible, while a patent-troll wants to own a patent that the phone manufacturer needs to license in order to make phones. The manufacturer is a capitalism, the troll is a rentier.

The troll might even decide that the best strategy for maximizing their rents is to exclusively license their patents to a single manufacturer and try to eliminate all other phones from the market. This will allow the chosen manufacturer to charge more and also allow the troll to get higher rents. Every capitalist except the chosen manufacturer loses. So do people who want to buy phones. Eventually, even the chosen manufacturer will lose, because the rentier can demand an ever-greater share of their profits in rent.

Digital technology enables all kinds of rent extraction. The more digitized an industry is, the more rent-seeking it becomes. Think of cars, which harvest your data, block third-party repair and parts, and force you to buy everything from acceleration to seat-heaters as a monthly subscription:

https://pluralistic.net/2023/07/24/rent-to-pwn/#kitt-is-a-demon

The cloud is especially prone to rent-seeking, as Yanis Varoufakis writes in his new book, Technofeudalism, where he explains how "cloudalists" have found ways to lock all kinds of productive enterprise into using cloud-based resources from which ever-increasing rents can be extracted:

https://pluralistic.net/2023/09/28/cloudalists/#cloud-capital

The endless malleability of digitization makes for endless variety in rent-seeking, and cataloging all the different forms of digital rent-extraction is a major project in this Age of Enshittification. "Algorithmic Attention Rents: A theory of digital platform market power," a new UCL Institute for Innovation and Public Purpose paper by Tim O'Reilly, Ilan Strauss and Mariana Mazzucato, pins down one of these forms:

https://www.ucl.ac.uk/bartlett/public-purpose/publications/2023/nov/algorithmic-attention-rents-theory-digital-platform-market-power

The "attention rents" referenced in the paper's title are bait-and-switch scams in which a platform deliberately enshittifies its recommendations, search results or feeds to show you things that are not the thing you asked to see, expect to see, or want to see. They don't do this out of sadism! The point is to extract rent – from you (wasted time, suboptimal outcomes) and from business customers (extracting rents for "boosting," jumbling good results in among scammy or low-quality results).

The authors cite several examples of these attention rents. Much of the paper is given over to Amazon's so-called "advertising" product, a $31b/year program that charges sellers to have their products placed above the items that Amazon's own search engine predicts you will want to buy:

https://pluralistic.net/2022/11/28/enshittification/#relentless-payola

This is a form of gladiatorial combat that pits sellers against each other, forcing them to surrender an ever-larger share of their profits in rent to Amazon for pride of place. Amazon uses a variety of deceptive labels ("Highly Rated – Sponsored") to get you to click on these products, but most of all, they rely two factors. First, Amazon has a long history of surfacing good results in response to queries, which makes buying whatever's at the top of a list a good bet. Second, there's just so many possible results that it takes a lot of work to sift through the probably-adequate stuff at the top of the listings and get to the actually-good stuff down below.

Amazon spent decades subsidizing its sellers' goods – an illegal practice known as "predatory pricing" that enforcers have increasingly turned a blind eye to since the Reagan administration. This has left it with few competitors:

https://pluralistic.net/2023/05/19/fake-it-till-you-make-it/#millennial-lifestyle-subsidy

The lack of competing retail outlets lets Amazon impose other rent-seeking conditions on its sellers. For example, Amazon has a "most favored nation" requirement that forces companies that raise their prices on Amazon to raise their prices everywhere else, which makes everything you buy more expensive, whether that's a Walmart, Target, a mom-and-pop store, or direct from the manufacturer:

https://pluralistic.net/2023/04/25/greedflation/#commissar-bezos

But everyone loses in this "two-sided market." Amazon used "junk ads" to juice its ad-revenue: these are ads that are objectively bad matches for your search, like showing you a Seattle Seahawks jersey in response to a search for LA Lakers merch:

https://www.bloomberg.com/news/articles/2023-11-02/amazon-boosted-junk-ads-hid-messages-with-signal-ftc-says

The more of these junk ads Amazon showed, the more revenue it got from sellers – and the more the person selling a Lakers jersey had to pay to show up at the top of your search, and the more they had to charge you to cover those ad expenses, and the more they had to charge for it everywhere else, too.

The authors describe this process as a transformation between "attention rents" (misdirecting your attention) to "pecuniary rents" (making money). That's important: despite decades of rhetoric about the "attention economy," attention isn't money. As I wrote in my enshittification essay:

You can't use attention as a medium of exchange. You can't use it as a store of value. You can't use it as a unit of account. Attention is like cryptocurrency: a worthless token that is only valuable to the extent that you can trick or coerce someone into parting with "fiat" currency in exchange for it. You have to "monetize" it – that is, you have to exchange the fake money for real money.

The authors come up with some clever techniques for quantifying the ways that this scam harms users. For example, they count the number of places that an advertised product rises in search results, relative to where it would show up in an "organic" search. These quantifications are instructive, but they're also a kind of subtweet at the judiciary.

In 2018, SCOTUS's ruling in American Express v Ohio changed antitrust law for two-sided markets by insisting that so long as one side of a two-sided market was better off as the result of anticompetitive actions, there was no antitrust violation:

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3346776

For platforms, that means that it's OK to screw over sellers, advertisers, performers and other business customers, so long as the end-users are better off: "Go ahead, cheat the Uber drivers, so long as you split the booty with Uber riders."

But in the absence of competition, regulation or self-help measures, platforms cheat everyone – that's the point of enshittification. The attention rents that Amazon's payola scheme extract from shoppers translate into higher prices, worse goods, and lower profits for platform sellers. In other words, Amazon's conduct is so sleazy that it even threads the infinitesimal needle that the Supremes created in American Express.

Here's another algorithmic pecuniary rent: Amazon figured out which of its major rivals used an automated price-matching algorithm, and then cataloged which products they had in common with those sellers. Then, under a program called Project Nessie, Amazon jacked up the prices of those products, knowing that as soon as they raised the prices on Amazon, the prices would go up everywhere else, so Amazon wouldn't lose customers to cheaper alternatives. That scam made Amazon at least a billion dollars:

https://gizmodo.com/ftc-alleges-amazon-used-price-gouging-algorithm-1850986303

This is a great example of how enshittification – rent-seeking on digital platforms – is different from analog rent-seeking. The speed and flexibility with which Amazon and its rivals altered their prices requires digitization. Digitization also let Amazon crank the price-gouging dial to zero whenever they worried that regulators were investigating the program.

So what do we do about it? After years of being made to look like fumblers and clowns by Big Tech, regulators and enforcers – and even lawmakers – have decided to get serious.

The neoliberal narrative of government helplessness and incompetence would have you believe that this will go nowhere. Governments aren't as powerful as giant corporations, and regulators aren't as smart as the supergeniuses of Big Tech. They don't stand a chance.

But that's a counsel of despair and a cheap trick. Weaker US governments have taken on stronger oligarchies and won – think of the defeat of JD Rockefeller and the breakup of Standard Oil in 1911. The people who pulled that off weren't wizards. They were just determined public servants, with political will behind them. There is a growing, forceful public will to end the rein of Big Tech, and there are some determined public servants surfing that will.

In this paper, the authors try to give those enforcers ammo to bring to court and to the public. For example, Amazon claims that its algorithm surfaces the products that make the public happy, without the need for competitive pressure to keep it sharp. But as the paper points out, the only successful new rival ecommerce platform – Tiktok – has found an audience for an entirely new category of goods: dupes, "lower-cost products that have the same or better features than higher cost branded products."

The authors also identify "dark patterns" that platforms use to trick users into consuming feeds that have a higher volume of things that the company profits from, and a lower volume of things that users want to see. For example, platforms routinely switch users from a "following" feed – consisting of things posted by people the user asked to hear from – with an algorithmic "For You" feed, filled with the things the company's shareholders wish the users had asked to see.

Calling this a "dark pattern" reveals just how hollow and self-aggrandizing that term is. "Dark pattern" usually means "fraud." If I ask to see posts from people I like, and you show me posts from people who'll pay you for my attention instead, that's not a sophisticated sleight of hand – it's just a scam. It's the social media equivalent of the eBay seller who sends you an iPhone box with a bunch of gravel inside it instead of an iPhone. Tech bros came up with "dark pattern" as a way of flattering themselves by draping themselves in the mantle of dopamine-hacking wizards, rather than unimaginative con-artists who use a computer to rip people off.

These For You algorithmic feeds aren't just a way to increase the load of sponsored posts in a feed – they're also part of the multi-sided ripoff of enshittified platforms. A For You feed allows platforms to trick publishers and performers into thinking that they are "good at the platform," which both convinces to optimize their production for that platform, and also turns them into Judas Goats who conspicuously brag about how great the platform is for people like them, which brings their peers in, too.

In Veena Dubal's essential paper on algorithmic wage discrimination, she describes how Uber drivers whom the algorithm has favored with (temporary) high per-ride rates brag on driver forums about their skill with the app, bringing in other drivers who blame their lower wages on their failure to "use the app right":

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4331080

As I wrote in my enshittification essay:

If you go down to the midway at your county fair, you'll spot some poor sucker walking around all day with a giant teddy bear that they won by throwing three balls in a peach basket.

The peach-basket is a rigged game. The carny can use a hidden switch to force the balls to bounce out of the basket. No one wins a giant teddy bear unless the carny wants them to win it. Why did the carny let the sucker win the giant teddy bear? So that he'd carry it around all day, convincing other suckers to put down five bucks for their chance to win one:

https://boingboing.net/2006/08/27/rigged-carny-game.html

The carny allocated a giant teddy bear to that poor sucker the way that platforms allocate surpluses to key performers – as a convincer in a "Big Store" con, a way to rope in other suckers who'll make content for the platform, anchoring themselves and their audiences to it.

Platform can't run the giant teddy-bear con unless there's a For You feed. Some platforms – like Tiktok – tempt users into a For You feed by making it as useful as possible, then salting it with doses of enshittification:

https://www.forbes.com/sites/emilybaker-white/2023/01/20/tiktoks-secret-heating-button-can-make-anyone-go-viral/

Other platforms use the (ugh) "dark pattern" of simply flipping your preference from a "following" feed to a "For You" feed. Either way, the platform can't let anyone keep the giant teddy-bear. Once you've tempted, say, sports bros into piling into the platform with the promise of millions of free eyeballs, you need to withdraw the algorithm's favor for their content so you can give it to, say, astrologers. Of course, the more locked-in the users are, the more shit you can pile into that feed without worrying about them going elsewhere, and the more giant teddy-bears you can give away to more business users so you can lock them in and start extracting rent.

For regulators, the possibility of a "good" algorithmic feed presents a serious challenge: when a feed is bad, how can a regulator tell if its low quality is due to the platform's incompetence at blocking spammers or guessing what users want, or whether it's because the platform is extracting rents?

The paper includes a suite of recommendations, including one that I really liked:

Regulators, working with cooperative industry players, would define reportable metrics based on those that are actually used by the platforms themselves to manage search, social media, e-commerce, and other algorithmic relevancy and recommendation engines.

In other words: find out how the companies themselves measure their performance. Find out what KPIs executives have to hit in order to earn their annual bonuses and use those to figure out what the company's performance is – ad load, ratio of organic clicks to ad clicks, average click-through on the first organic result, etc.

They also recommend some hard rules, like reserving a portion of the top of the screen for "organic" search results, and requiring exact matches to show up as the top result.

I've proposed something similar, applicable across multiple kinds of digital businesses: an end-to-end principle for online services. The end-to-end principle is as old as the internet, and it decrees that the role of an intermediary should be to deliver data from willing senders to willing receivers as quickly and reliably as possible. When we apply this principle to your ISP, we call it Net Neutrality. For services, E2E would mean that if I subscribed to your feed, the service would have a duty to deliver it to me. If I hoisted your email out of my spam folder, none of your future emails should land there. If I search for your product and there's an exact match, that should be the top result:

https://www.eff.org/deeplinks/2023/04/platforms-decay-lets-put-users-first

One interesting wrinkle to framing platform degradation as a failure to connect willing senders and receivers is that it places a whole host of conduct within the regulatory remit of the FTC. Section 5 of the FTC Act contains a broad prohibition against "unfair and deceptive" practices:

https://pluralistic.net/2023/01/10/the-courage-to-govern/#whos-in-charge

That means that the FTC doesn't need any further authorization from Congress to enforce an end to end rule: they can simply propose and pass that rule, on the grounds that telling someone that you'll show them the feeds that they ask for and then not doing so is "unfair and deceptive."

Some of the other proposals in the paper also fit neatly into Section 5 powers, like a "sticky" feed preference. If I tell a service to show me a feed of the people I follow and they switch it to a For You feed, that's plainly unfair and deceptive.

All of this raises the question of what a post-Big-Tech feed would look like. In "How To Break Up Amazon" for The Sling, Peter Carstensen and Darren Bush sketch out some visions for this:

https://www.thesling.org/how-to-break-up-amazon/

They imagine a "condo" model for Amazon, where the sellers collectively own the Amazon storefront, a model similar to capacity rights on natural gas pipelines, or to patent pools. They see two different ways that search-result order could be determined in such a system:

"specific premium placement could go to those vendors that value the placement the most [with revenue] shared among the owners of the condo"

or

"leave it to owners themselves to create joint ventures to promote products"

Note that both of these proposals are compatible with an end-to-end rule and the other regulatory proposals in the paper. Indeed, all these policies are easier to enforce against weaker companies that can't afford to maintain the pretense that they are headquartered in some distant regulatory haven, or pay massive salaries to ex-regulators to work the refs on their behalf:

https://www.thesling.org/in-public-discourse-and-congress-revolvers-defend-amazons-monopoly/

The re-emergence of intermediaries on the internet after its initial rush of disintermediation tells us something important about how we relate to one another. Some authors might be up for directly selling books to their audiences, and some drivers might be up for creating their own taxi service, and some merchants might want to run their own storefronts, but there's plenty of people with something they want to offer us who don't have the will or skill to do it all. Not everyone wants to be a sysadmin, a security auditor, a payment processor, a software engineer, a CFO, a tax-preparer and everything else that goes into running a business. Some people just want to sell you a book. Or find a date. Or teach an online class.

Intermediation isn't intrinsically wicked. Intermediaries fall into pits of enshitffication and other forms of rent-seeking when they aren't disciplined by competitors, by regulators, or by their own users' ability to block their bad conduct (with ad-blockers, say, or other self-help measures). We need intermediaries, and intermediaries don't have to turn into rent-seeking feudal warlords. That only happens if we let it happen.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2023/11/03/subprime-attention-rent-crisis/#euthanize-rentiers

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

[problog237]

Hackaday Links: June 1, 2025

[fahrni]

Saturday Morning Coffee

Good morning from Charlottesville, Virginia! ☕️

Another very quiet week at home and work.

I hope you enjoy the links.

Dan Heching and Zoe Sottile • CNN

Estey said Simmons died early on Saturday morning. He had celebrated his 76th birthday the day before. “We lost an Angel today - a true Angel,” Estey added.

I remember Richard Simmons from the 80’s. Always the showman, always enthusiastic, always fighting to teach folks how to lose weight and talking about his own struggles.

R.I.P.

Carmel Dagan • Variety

Bob Newhart, the genteel but sharply satirical comic whose TV series “The Bob Newhart Show” and “Newhart” were huge hits throughout the 1970s and ’80s, died Thursday in Los Angeles. He was 94.

I know he’s well know for his television series but I really liked him as Papa Elf in the movie Elf.

R.I.P.

David Nield • ScienceAlert

The probe was recorded traveling at 635,266 kilometers (394,736 miles) per hour on June 29, the second time it’s reached that speed since it launched in 2018. We’re talking around 500 times faster than the speed of sound here.

It’s impossible for me to wrap my brain around the idea of going 394,736 miles per hour. 😳

But, it’s pretty cool!

Lily Hay Newman, Matt Burgess, and Andy Greenberg • WIRED

Only a handful of times in history has a single piece of code managed to instantly wreck computer systems worldwide. The Slammer worm of 2003. Russia’s Ukraine-targeted NotPetya cyberattack. North Korea’s self-spreading ransomware WannaCry. But the ongoing digital catastrophe that rocked the internet and IT infrastructure around the globe over the past 12 hours appears to have been triggered not by malicious code released by hackers, but by the software designed to stop them.

What a day for our global network, Microsoft, and CrowdStrike.

I feel terrible for any shop using CrowdStrike and their DevOps or IT Administrators and Technicians. The only way to fix this issue is to be in the room, in front of the computer.

I once worked at a pistachio and almond processing plant that ran on Windows PC’s. At times I needed access to certain computers and had to get someone to unlock a door for me. Can you imagine having to fix thousands of computers with this issue? Sure, developers and the techies in the organization can fix it on their own and help others, but what a pain in the butt. ❤️

Hafiz Rashid • The New Republic

“I have stood up in rooms with all of these people and I have said, ‘Game out your actual plan for me.’ What are the risks of this going to the Supreme Court? And no one had an answer for me.… I’m talking about the lawyers. I’m talking about the legislators,” Ocasio-Cortez said.

What’s the plan? Seems Democrats don’t have one.

This entire kerfuffle couldn’t have come at a worse time. More than ever we need to be united to stop the GOP in their tracks. They are the political enemy and you defeat a political enemy by beating them at the polls.

Turn out, vote for the Democrat, save democracy.

It really is that simple.

Maya Posch • Hackaday

With performance optimizations seemingly having lost their relevance in an era of ever-increasing hardware performance, there are still many good reasons to spend some time optimizing code. In a recent preprint article by [Paul Bilokon] and [Burak Gunduz] of the Imperial College London the focus is specifically on low-latency patterns that are relevant for applications such as high-frequency trading (HFT). In HFT the small margins are compensated for by churning through absolutely massive volumes of trades, all of which relies on extremely low latency to gain every advantage. Although FPGA-based solutions are very common in HFT due their low-latency, high-parallelism, C++ is the main language being used beyond FPGAs.

A friend worked on one of these high speed trading systems. The pressure on him to write bug free, highly performant C++ code was immense. These trading folks are crazy serious about making money and these systems need to be super solid. Their drive to be filthy rich depends on it.

He didn’t stay for long. The stress wasn’t worth it.

Heather Cox Richardson • Letters from an American

This morning, after a day of Republicans insisting that it is political polarization to suggest that Trump is a danger to our democracy, U.S. District Judge Aileen Cannon, who was appointed by Trump in the last days of his presidency, dismissed the classified documents case against the former president. She wrote that “Special Counsel Smith’s appointment violates the Appointments Clause of the United States Constitution.”

It seems Judge Aileen Cannon is in the bag for Trump. She’s been delaying and dragging her feet for months on this matter. Either she’s incompetent or corrupt or maybe a little of both?

Regardless, we can also thank corrupt Supreme Court Justice Clarence Thomas for planting the seed of this plan to dismiss the case. In the Trump Immunity decision he noted Jack Smith’s appointment may be unconstitutional. Of course the documents case has nothing to do with the immunity case. He just slipped it in there to sow doubt. It worked.

There is still a path to prosecution but it won’t happen before the election. If the Orange Clown wins it’ll never happen.

Dan Moren • Six Colors

Ultimately the reaction to 18’s initial public beta may be more about what’s not there than what is. When Apple first announced its latest annual update to the mobile software platform back in June, most of the attention went to a suite of features—the top-billed ones if you look at the company’s iOS 18 Preview Page—collected under the aegis of Apple Intelligence. These marked the company’s much anticipated foray into artificial intelligence and promise everything from image generation to a reinvigorated Siri.

TL;DR - if you’re expecting to see Apple Intelligence as part of the betas, don’t hold your breath. Those features will roll out over the next year and into the future.

Outside of the excitement surrounding Apple Intelligence there are plenty of nice features to explore and enjoy.

Nick Schager • The Daily Beast

Longlegs is the horror event of the summer—a serial killer thriller that plays like a nightmarish swirl of The Silence of the Lambs, Seven, Psycho and Zodiac, albeit with far less rationality and considerably more demonic derangement.

I’m excited to see this! I’d imagine this is one film I’ll be able to get Kim to see in theaters. 😃

Ploum

TL;DR: put your open source code under the AGPL license.

While I don’t agree with a lot of what’s said in this piece, it is worth a read to gain a different perspective on Open Source and the problems around maintaining it.

Jake Edge • lwn.net

At the 2024 Linux Storage, Filesystem, Memory Management, and BPF Summit, Wedson Almeida Filho and Kent Overstreet led a combined storage and filesystem session on using Rust for Linux filesystems.

I like how this was written. It’s basically meeting notes from the session.

The Rust developers will have to be the ones to absorb the pain of keeping up with changes to the filesystem. As a developer using a newer technology I wouldn’t expect anything less.

I’m looking forward to the day we see Swift showing up in filesystem components on the Mac. There is an effort underway to rewrite Foundation in Swift. That’s a great start.

Wes Davis • The Verge

Apple has approved UTM SE, an app for emulating a computer to run classic software and games, weeks after the company rejected it and barred it from being notarized for third-party app stores in the European Union. The app is now available for free for iOS, iPadOS, and visionOS.

I’d imagine European Regulators made this happen. Apple doesn’t need them crawling any further up their butts. They’re already in enough trouble.

Brett Berk • The Drive

This is the golden age of full-size pickup trucks. Because the market demands it, and because the market is enormous and extremely profitable, the latest breed of pickup trucks is comfortable, commodious, potent, and dare I say luxurious. The Ford F-150, Chevrolet Silverado, and Ram 1500 are, respectively, the top-selling vehicles in America. And with their Brobdingnagian scale, appliqué steer horns, remotely erecting towing hitches, and power-opening tailgates that drop like the rear flap on a cowpoke’s union suit, pickup trucks may be the greatest examples of overcompensation ever invented.

This is a piece from 2019 but it still holds up today. Trucks are definitely no longer the multipurpose towing and hauling vehicles they used to be. When I got one with power windows and AC I thought it was pretty luxurious, but modern pickups are like luxury automobiles.

I’d bet real farmers and workmen using trucks as trucks don’t buy the luxury models. 😁 I’ve seen the inside of real work trucks. They smell of dirt and oil and usually have mud all over the floorboards. Not to mention barebones interiors.

My grandfather was a mobile mechanic for his entire life. His trucks had flat beds with large generators, a boom, and tool chests and various tool compartments. When his motor or transmission wore out, no problem, he pulled them and replaced them, himself.

I’m sure those folks still exist today but luxury trucks weren’t made for them. 😃

[engineeringisawesome]

Hackaday Useful Tools Links

So I am an avid reader of Hackaday for a long time now and they have been putting out a lot of great introductions to tools and processes to get makers up to speed on the resources that are available.  This is just a splattering of links that I have found lately that you guys might be interested in.

DC Motors

Lessons in Small Scale Manufacturing

Grinding Gears: Figuring out gear ratios

Tools of the trade: Injection Molding

Are todays engineers worse?

How to nail a technical presentation

Tools of the trade: Vacuum Forming

The Art and Science of Bending Sheetmetal

A how-to of designing, fab, and assembly with structural framing systems (t slot)

Machine learning foundations

A machine shop in a box

How to: Cold resin casting

Join the GUI generation: Qtcreator

Do you guys have any other great resources that you’d like to share and/or are you enjoying this type of content?

[headphonemouse]

After a year, I finally looked up who originally made that little paper bird, because I felt guilty over not crediting the artist. They turned out to be even more incredible than I had imagined, having made a series of creative and fun automata, as well as instructional videos for some, among a wide range of art over the years. Here is a video of the other automata from this November series:

According to this Hackaday article, I'm not the only person who's replicated Tobon's designs, though no other examples were linked. They're really very charming, so I'm delighted other people tried their hand in creating these as well.

When I made this dragon last year, I had also made several birds (one video'd here) and a butterfly, though I didn't get a video of the butterfly. It was largely the same mechanism though so you're not missing out on much.

Tumblr won't let me put 2 videos in one post but I made 2 automata check it out

[ourwitching]

Thinkpads are great, especially the old ones. You find a T420, and you can have a battery hanging o...

[pauljacobevans]

Hackaday Links: March 11, 2018

Guess what’ll be wrapping up in just two weeks? The Midwest RepRap Festival, the largest con for open source 3D printing in the world. MRRF is going down in Goshen, Indiana on March 23rd through March 25th. Tickets are free! If you’re looking for a hotel, I can speak from experience that the Best Western is good and close to the con, and I haven’t heard anything bad about the Holiday Inn Express. Want to go to a convention with even weirder people? Somehow or another, a press release for Contact In The Desert, the largest UFO conference in the …read more http://pje.fyi/QKf2ql

[kd8bxp]

Liked on YouTube: DIY sonar scanner (practical experiments)

DIY sonar scanner (practical experiments) Starlink, Medical Ultrasound, 5G and my DIY sonar scanner have one thing in common: Phased arrays. Phased what..? My practical experiments convey the physics behind the manipulation of waves in a playful manner. The result is a real DIY sonar scanner. Check it out! Give my sponsor Aisler a try: https://aisler.de My board: https://ift.tt/edqagIT Browser based simulator: https://ift.tt/BTIhVjP Scanner code: https://ift.tt/RY0zFqU Links to parts and tools (affiliate links): 4 Channel Mosfet Switch: https://ift.tt/uUvzgRL Solenoid: https://ift.tt/O4K8g0z Soldering iron: https://ift.tt/AoFzNER Miniware Hot Plate: https://ift.tt/O1EIpxK Flux: https://ift.tt/socamdV Syringe Pusher: https://ift.tt/iDkv762 Variable Power Supply: https://ift.tt/TKMQjg0 Arduino Nano clone: https://ift.tt/nqHwU31 ESP32 Mini KIT: https://ift.tt/VF7gh6Z Mini Breadboards: https://ift.tt/IcVH8ZQ My camera and lens (4k 60fps): https://ift.tt/BbQNY9o Github Sponsors: https://ift.tt/beZs8AG Patreon: https://ift.tt/9vG4zuK Channel membership: https://www.youtube.com/channel/UCp_5PO66faM4dBFbFFBdPSQ/join Paypal: https://ift.tt/rGuhcp2 Twitter: @bitluni Discord: https://ift.tt/Q0ch4nk 0:00 Intro 0:32 Ultrasonic sensor basics 1:52 Phased arrays 2:26 Water wave experiment 3:11 Phase simulation 5:02 Starlink 5:44 Medical ultrasound 6:07 Mechanical phased array experiment 7:55 Ultrasound array design 8:20 Sponsor: Aisler 8:58 Array assembly 9:57 Software 10:38 Visualization CNC experiment 12:29 Sonar build and results Media sources: • Hackaday Supercon - HunterScott : Why Phased Arrays are Cool ... https://www.youtube.com/watch?v=ytBmoL2wZLw • Wikipedia - Phased array: https://ift.tt/hmbiqIg • Hearing frequencies: https://ift.tt/yxmSZhR • Demi, L. Practical Guide to Ultrasound Beam Forming https://ift.tt/nrCgYyG • Starlink auto-adjust - Simon Miller https://youtu.be/KtjUsPCl5-M • Starlink Teardown: DISHY DESTROYED! Ken Keiter https://youtu.be/iOmdQnIlnRo • Antennas - Matthias Groeneveld on Pexels • Starlink Tracker 1: https://starlink.sx/ • Starlink Tracker 2: https://ift.tt/jTqgGua • Starlink cats - Aaron Taylor https://twitter.com/Tippen22/status/1476985855981993984 #electronics #maker via YouTube https://www.youtube.com/watch?v=z4uxC7ISd-c

[daveshevett]

Best Cyberpunk Movies and Books

New Post has been published on https://planet-geek.com/2022/10/24/reviews/best-cyberpunk-movies-and-books/

Best Cyberpunk Movies and Books

Cyberpunk 2077 from CD Projekt Red

Lately, the concept of “Cyberpunk” has come back into the general discourse. With the success of the Hackaday Cyberdeck Contest (and my modest contribution to it), not to mention a certain large social media company throwing around terms we’ve all heard for years like they were something new, there’s renewed interest in the entire cyberpunk genre.

To that end, I thought it might be a good idea to look at the books and movies that best exemplify the art form. To that end, I give you my recommendations of the best in Cyberpunk…

Movies

The Matrix – 1999 Not really a lot needs to be said here. This movie came out of nowhere and pretty much reset the whole nerd culture worldview.

Ghost in the Shell – 1996 animated. Remade in 2017 as live action There’s some wonderful crossover details in this movie with a view of gritty life in the streets and

absolutely jawdropping technology – being able to install a human being into an artificial ‘shell’, granting them what amounts to superpowers. The original anime was groundbreaking in it’s concepts, exploring the concept of self identity. The live action movie did a great job of expanding the visuals into a modern form, but I feel sacrificed story and depth for action.

Johnny Mnemonic – 1995 Sigh. So, for those who don’t know, this movie is based on a short story by William Gibson from Burning Chrome. The story is fantastic, but this movie adaptation… isn’t. I mean, if you’re into the most 90s SF movie you can get, this is it. But lets be frank. It’s not a good movie.

Blade Runner – 1982 There’s a great interview where William Gibson went to see Blade Runner…

I was afraid to watch Blade Runner in the theater because I was afraid the movie would be better than what I myself had been able to imagine. In a way, I was right to be afraid, because even the first few minutes were better. Later, I noticed that it was a total box-office flop, in first theatrical release. That worried me, too. I thought, Uh-oh. He got it right and ­nobody cares! Over a few years, though, I started to see that in some weird way it was the most influential film of my lifetime, up to that point. 

William Gibson

Pretty much no matter how you look at it, Blade runner is the best representation of Gibson’s Sprawl in movie-dom. While the movie was not a box office success when it came out, it has gained a cult status, and for good reason. The story of an overpopulated city and a damaged ecosystem (it always rains), coupled with technology and staggering wealth is unparalleled.

Strange Days – 1995 This is a movie that snuck under a lot of peoples radar, but absolutely exemplifies the Cyberpunk mindset. Sensory link technology co-opted for nefarious purposes far beyond it’s original design. The movie isn’t as well known as it should be, but it absolutely should be required viewing for anyone interested in the cyberpunk genre

Books

It all started with books. Before Netflix, before Youtube, before the movie industry cottoned on to the fact there’s money to be made in hard SF, there were the books. Here’s the best examples…

Mirrorshades – The Cyberpunk Anthology Unfortunately out of print now (though there’s a free version hosted on Rudy Rucker’s site), Mirrorshades is a short story collection edited by Bruce Sterling. It has the honor of being the first collection to explicitely describe itself as Cyberpunk, and as such, has a place of honor in this list.

Snow Crash

Snow Crash – Neal Stephenson One of the best of the genre, IMHO. So many fantastic concepts, so brilliantly presented. The book hasn’t aged well, as many of the concepts really don’t make much sense anymore, but who can resist

this writing?

“The Deliverator’s car has enough potential energy packed into its batteries to fire a pound of bacon into the Asteroid Belt. Unlike a bimbo box or a Burb beater, the Deliverator’s car unloads that power through gaping, gleaming, polished sphincters… You want to talk contact patches? Your car’s tires have tiny contact patches, talk to the asphalt in four places the size of your tongue. The Deliverator’s car has big sticky tires with contact patches the size of a fat lady’s thighs. The Deliverator is in touch with the road, starts like a bad day, stops on a peseta.”

Diamond Age – Neal Stephenson Of Neal Stephenson’s work, this may be one of my favorites. Not strictly cyberpunk as it loosely ties in with Snow Crash but after nanotechnology has become the norm, but still gritty and enjoyable. The world building is outstanding.

Neuromancer Count Zero Mona Lisa Overdrive Burning Chrome – William Gibson Basically, where it all started. Gibson’s Sprawl Trilogy is the G.O.A.T. in the Cyberpunk realm. Gibson was the man to bring the term Cyberspace into full form in his stories, starting with Burning Chrome, and then into the the Sprawl trilogy. Arguably he was the man to define what Cyberpunk looks and feels like, and his influence drives everything

Altered Carbon – Richard Morgan A great book (and later TV show) that explores what happens when technology is integrated tightly into society, to the point where individuals are, in many ways, immortal. Lives are recorded and uploaded and can be placed into a new body. But as in so many things, this experience is primarily for the wealthy.

Trouble and her Friends – Melissa Scott Many people interested in this genre may not have heard of this one. The scenario sounds familiar –

netwalking hackers evading deadly IC(E) (Intrustion Countermeasures (Electronic)) using implanted brain computer interfaces – but Scott’s characters in many ways are more human, more real, and definitely not cut from the mold the male-dominated circles have created.

Final Thoughts

I’ve grown quite attached to the concepts of high technology tightly coupled with humanity – and we’re slowly on the road to these sorts of things being the norm. Witness things like cochlear implants, and other types of brain computer interfaces. While what results will likely not resemble the imaginative geometry and immersion described in Snow Crash and Trouble and Her Friends, I feel the barrier between “human” and “computer” continues to thin, and what will happen when that interface is complete, only the SF writers can speculate.

[aimlab-aimbot-download-vu]

aimlab aimbot download working 88E#

💾 ►►► DOWNLOAD FILE 🔥🔥🔥🔥🔥 Create training routines, customize your gameplay or build unlimited scenarios with our Creator Studio. We're ready to train you, download now! DOWNLOAD NOW. Aim Lab Cheats - Other Games Hacks and Cheats Forum. Hi, I was wondering if anyone had some aim lab cheats (like aimbot with smoothing). Aimbot Does It In Hardware to work in Aim Lab, a first-person shooter training simulation, and not in a real multiplayer videogame. Tags: color aimbot, color detecting, color scanning, tf2 aimbot, Lol yea i created a account just to download the hacks and leave but i forgot to make. 9 Anyone who has played an online shooter game in the past two or three decades has almost certainly come across a person or machine that cheats at the game by auto-aiming. For newer games with anti-cheat, this is less of a problem, but older games like Team Fortress have been effectively ruined by these aimbots. These types of cheats are usually done in software, though, and [Kamal] wondered if he would be able to build an aim bot that works directly on the hardware instead. This is mostly because [Kamal] is training his machine to work in Aim Lab, a first-person shooter training simulation, and not in a real multiplayer videogame. The robot works by taking a screenshot of his computer in Python and passing the information through a computer vision algorithm which recognizes high-contrast targets. From there a PID controller is used to tell a series of omniwheels attached to the mouse where to point, and when the cursor is in the hitbox a mouse click is triggered. While it might seem straightforward, building the robot and then, more importantly, tuning the PID controller took [Kamal] over two months before he was able to rival pro-FPS shooters at the aim trainer. If you would like a bot that makes you worse at a game instead of better, though, head over to this build which plays Valorant by using two computers to pass game information between. By using our website and services, you expressly agree to the placement of our performance, functionality and advertising cookies. Learn more. Search Search for:. Mining And Refining: Sulfur 20 Comments. Big Brother Or Dumb Brother? Hackaday Links: October 2, 21 Comments. Unintentional Emissions 38 Comments.

[problog237]

Hackaday Links: June 1, 2025

[bookmarkbrowse]

Hackaday Link: August 28, 2022

Hackaday Link: August 28, 2022

The countdown to humanity’s first step back to the moon has begun. The countdown to Artemis 1 begins Saturday morning, and if all goes well, the unmanned Orion spacecraft on top of the giant Space Launch System (SLS) booster will take off on Monday, August 29 at 8 a.m. from The Legends of Cape Canaveral Pad 39B lifts off at 33:00 EST (1233 GMT). The mission is expected to last about 42 days,…

[ourwitching]

Thinkpads are great, especially the old ones. You find a T420, and you can have a battery hanging o...

[pauljacobevans]

Hackaday Links: February 11, 2018

Are you a student? Are you part of a hackerspace? We have a contest going on right now where you can win a fancy new Prusa i3 MK3. The Repairs You Can Print contest is a challenge to do something useful with that machine that spits out tugboats. We’re looking for functional repairs of items around your house, office, or garage. Did you repair something with a 3D printer? Then you too can get in on the action! Enter now! Check out the entries! You may know Flite Test as the group who do everything surrounding remote control flight (mostly …read more http://pje.fyi/QFyy5S

[reportwire]

Computer, Meet Human. Human, Meet Computer.

Computer, Meet Human. Human, Meet Computer.

The fourth round of The Hackaday Prize focuses on interfaces between humans and machines. Source link

[problog237]

Hackaday Links: May 11, 2025