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sgnog · 6 months

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Singapore Network Operators’ Group (SGNOG) is a non profit formed to provide Network Operators, Service/Content Providers and vendors a forum to share, discuss and learn about internet trends, technologies and operational experience in Singapore. Through regular events such as conferences, workshops and social events, it provides engineers the opportunities to interact more frequently, and thereby foster greater collaboration at the working level.

SGNOG organizes content around the topics of IP routing & switching, optical transmission, systems, internet security, peering, emerging technologies and operational best practices. The goal and objective of SGNOG is to allow the local and foreign network operators to get together to collaborate to improve the overall internet ecosystem in Singapore. Check out SGNOG social media below: Facebook | X | Instagram

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nixcraft · 1 year

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ChatGPT deny access when connected via VPN (Virtual Private Network) such as WireGuard or OpenVPN, and you will be blocked with the message. Here is how to skip ChatGPT (or any other domain/IP address from WireGuard or OpenVPN on Linux.

-> How to skip ChatGPT from WireGuard or OpenVPN on Linux

#chatgpt #linux #sysadmin #IT #devlife #ubuntu #debian #ip command #routing #networking

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fratboykate · 1 year

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I’m dying for crumbs from the period AUs. What has gladiator Yelena been up to?

here's the thing, i love period aus SO MUCH that i actually developed "lovers through the ages" into a real show that my agents are taking out after the strike (is anyone going to buy it in this market when all studio wants is four quadrant content for middle america or 200 million dollar remakes? probably not...but im sure as fuck gonna try because im obsessed) and the first season is all of the same five time periods/chapters we have here (+ one present day i created) so ive developed the fuckkkkkkkkk out of all these characters and worlds independently of KY and 1) genuinely dont remember where i left in HERE anymore and 2) i dont even know if all the changes i made for a tv adaptation would work with whatever ive already established here and that would be sooooo fuckign confusing to keep all the differences straight/be so much work to try to maybe retroactively try to fit shit from the show here because im lazy and wouldnt want to do double work

THAT BEING SAID...im a sucker for gladiator au so if you remind me where we left it of i can give you plenty of crumbsies.

#the tv version of this would be *CHEF'S KISS*#but also realistically...never gonna get made...expensive af period show not based on any IP? never gonna happen lol #or at least like SLIMMMMMMMMMMMMMMMM as chances #unless i manage to attach some huge talent that makes it their pet project (which is one of the routes im tryign to go donw) because #tell me what actor doesnt want to get to play six versions of the same character in a single show SHOW OFF THEM CHOPS BABYYYY #my reps agree that this could live or die by what talent we can package so...WE'LL SEEEEEEEEEE but im really gonna hustle for it #after the strike we'll see how the market is looking #kygau #anonymous #answers

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davidgrandorder · 2 years

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Trying to think of what Caeneus Alter might be like 🤔

#ip talks #without going down the ‘caenis alter is cis’ route lol

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phonesuite · 3 months

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In this blog post, we’ll discuss why two-way SMS should be included in your overall communications as an effective and efficient messaging tool. Two-way SMS is the perfect solution to enhance hotel phone system customer engagement. Learn More....

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richardmhicks · 3 months

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Always On VPN Client IP Address Assignment Methods

When Always On VPN clients connect to the VPN server, they must be assigned an IP address to facilitate network communication. When using Windows Server and Routing and Remote Access Service (RRAS) for VPN services, administrators must choose between Dynamic Host Configuration Protocol (DHCP) and static address pool assignment methods. DHCP DHCP is a quick and easy way to handle VPN client IP…

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virtualizationhowto · 7 months

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TrueNAS SCALE Network Configuration Tips for Home Server

TrueNAS SCALE Network Configuration Deep Dive for Home Server #homeserver #TrueNASScaleNetworkConfiguration #FailoverSetupGuide #LoadbalancingOnTrueNAS #VLANConfigurationTrueNAS #BridgeInterfaceGuide #TrueNASStaticIPAddressSetup #TrueNASSystemSettings

When you set up a TrueNAS SCALE server, one of the first configuration items you will want to tackle is the network configuration. This helps make sure you achieve optimal performance and security. If you are struggling to configure your TrueNAS SCALE home server networking, this post will help you configure a static IP address, Link Aggregation (Failover, LoadBalance, LACP), VLAN, and Bridge…

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#Bridge interface guide #Configure static routes #Dynamic Host Configuration Protocol #Failover setup guide #Loadbalancing on TrueNAS #Network interface configuration #Static IP address setup #TrueNAS Scale network configuration #TrueNAS system settings #VLAN configuration tutorial

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gslin · 1 year

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6to4 在 2015 年就 deprecated 了...

找資料才發現 RFC 7526 廢掉 6to4 了：「Deprecating the Anycast Prefix for 6to4 Relay Routers」。看起來像是無法解決的技術問題： While this makes the forward path more controlled, it does not guarantee a functional reverse path. 去程的部份比較沒問題，但回程的部份就不一定會動。不過目前看起來 HE 的 192.88.99.1 還有在運作就是了，也許之後會慢慢退役…

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#6to4 #address #ip #ipv4 #ipv6 #network #reliability #rfc #routing

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raspberry-rampage · 1 year

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oh, to be the creators of the witcher netflix series

and make pretty much the female main character of the series an annoying spoiled brat, which would’ve been fine and even endearing if they were younger looking and her development/character arc focused on overcoming those flaws;

and take a character, who’s in juxtaposition to other characters who are clearly non-human/identify as non-human HUMAN which allows them to have a different perspective on the world and be relatable and make some of their acts truly brave, and make them... non-human;

and try to invent the magic system and come out with something completely illogical, inconsistent and overall bullshit in delivery;

and look at a series that could’ve been one of the first big international series that celebrates the Slavic culture, but instead make it general fantasy or with Celtic/Nordic inspiration;

and take a beloved book series that’s pretty much considered a national treasure of fantasy writing, with a world-wide fanbase thanks to several succesful games, call their ‘creation’ an adaptation while it pretty much is a big budget fanfiction;

#the witcher #twn rant #riv rants #spoilers #the witcher blood origin #this is my reaction to seeing some posts about blood origin #i am NOT watching that series #it could be good #but I hate them for using this IP to create their fanfics #i haven't seen all but some costumes and locations and there's nothing slavic in there #s2 was enough for me to go 'yup. they fucking forgot or deliberately ignore going the slavic route'#open to discussion

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mostlysignssomeportents · 1 year

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Gig apps trap reverse centaurs in Skinner boxes

Enshittification is the process by which digital platforms devour themselves: first they dangle goodies in front of end users. Once users are locked in, the goodies are taken away and dangled before business customers who supply goods to the users. Once those business customers are stuck on the platform, the goodies are clawed away and showered on the platform’s shareholders:

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

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/2023/04/12/algorithmic-wage-discrimination/#fishers-of-men

Enshittification isn’t just another way of saying “fraud” or “price gouging” or “wage theft.” Enshittification is intrinsically digital, because moving all those goodies around requires the flexibility that only comes with a digital businesses. Jeff Bezos, grocer, can’t rapidly change the price of eggs at Whole Foods without an army of kids with pricing guns on roller-skates. Jeff Bezos, grocer, can change the price of eggs on Amazon Fresh just by twiddling a knob on the service’s back-end.

Twiddling is the key to enshittification: rapidly adjusting prices, conditions and offers. As with any shell game, the quickness of the hand deceives the eye. Tech monopolists aren’t smarter than the Gilded Age sociopaths who monopolized rail or coal — they use the same tricks as those monsters of history, but they do them faster and with computers:

https://doctorow.medium.com/twiddler-1b5c9690cce6

If Rockefeller wanted to crush a freight company, he couldn’t just click a mouse and lay down a pipeline that ran on the same route, and then click another mouse to make it go away when he was done. When Bezos wants to bankrupt Diapers.com — a company that refused to sell itself to Amazon — he just moved a slider so that diapers on Amazon were being sold below cost. Amazon lost $100m over three months, diapers.com went bankrupt, and every investor learned that competing with Amazon was a losing bet:

https://slate.com/technology/2013/10/amazon-book-how-jeff-bezos-went-thermonuclear-on-diapers-com.html

That’s the power of twiddling — but twiddling cuts both ways. The same flexibility that digital businesses enjoy is hypothetically available to workers and users. The airlines pioneered twiddling ticket prices, and that naturally gave rise to countertwiddling, in the form of comparison shopping sites that scraped the airlines’ sites to predict when tickets would be cheapest:

https://pluralistic.net/2023/02/27/knob-jockeys/#bros-be-twiddlin

The airlines — like all abusive businesses — refused to tolerate this. They were allowed to touch their knobs as much as they wanted — indeed, they couldn’t stop touching those knobs — but when we tried to twiddle back, that was “felony contempt of business model,” and the airlines sued:

https://www.cnbc.com/2014/12/30/airline-sues-man-for-founding-a-cheap-flights-website.html

And sued:

https://www.nytimes.com/2018/01/06/business/southwest-airlines-lawsuit-prices.html

Platforms don’t just hate it when end-users twiddle back — if anything they are even more aggressive when their business-users dare to twiddle. Take Para, an app that Doordash drivers used to get a peek at the wages offered for jobs before they accepted them — something that Doordash hid from its workers. Doordash ruthlessly attacked Para, saying that by letting drivers know how much they’d earn before they did the work, Para was violating the law:

https://www.eff.org/deeplinks/2021/08/tech-rights-are-workers-rights-doordash-edition

Which law? Well, take your pick. The modern meaning of “IP” is “any law that lets me use the law to control my competitors, competition or customers.” Platforms use a mix of anticircumvention law, patent, copyright, contract, cybersecurity and other legal systems to weave together a thicket of rules that allow them to shut down rivals for their Felony Contempt of Business Model:

https://locusmag.com/2020/09/cory-doctorow-ip/

Enshittification relies on unlimited twiddling (by platforms), and a general prohibition on countertwiddling (by platform users). Enshittification is a form of fishing, in which bait is dangled before different groups of users and then nimbly withdrawn when they lunge for it. Twiddling puts the suppleness into the enshittifier’s fishing-rod, and a ban on countertwiddling weighs down platform users so they’re always a bit too slow to catch the bait.

Nowhere do we see twiddling’s impact more than in the “gig economy,” where workers are misclassified as independent contractors and put to work for an app that scripts their every move to the finest degree. When an app is your boss, you work for an employer who docks your pay for violating rules that you aren’t allowed to know — and where your attempts to learn those rules are constantly frustrated by the endless back-end twiddling that changes the rules faster than you can learn them.

As with every question of technology, the issue isn’t twiddling per se — it’s who does the twiddling and who gets twiddled. A worker armed with digital tools can play gig work employers off each other and force them to bid up the price of their labor; they can form co-ops with other workers that auto-refuse jobs that don’t pay enough, and use digital tools to organize to shift power from bosses to workers:

https://pluralistic.net/2022/12/02/not-what-it-does/#who-it-does-it-to

Take “reverse centaurs.” In AI research, a “centaur” is a human assisted by a machine that does more than either could do on their own. For example, a chess master and a chess program can play a better game together than either could play separately. A reverse centaur is a machine assisted by a human, where the machine is in charge and the human is a meat-puppet.

Think of Amazon warehouse workers wearing haptic location-aware wristbands that buzz at them continuously dictating where their hands must be; or Amazon drivers whose eye-movements are continuously tracked in order to penalize drivers who look in the “wrong” direction:

https://pluralistic.net/2021/02/17/reverse-centaur/#reverse-centaur

The difference between a centaur and a reverse centaur is the difference between a machine that makes your life better and a machine that makes your life worse so that your boss gets richer. Reverse centaurism is the 21st Century’s answer to Taylorism, the pseudoscience that saw white-coated “experts” subject workers to humiliating choreography down to the smallest movement of your fingertip:

https://pluralistic.net/2022/08/21/great-taylors-ghost/#solidarity-or-bust

While reverse centaurism was born in warehouses and other company-owned facilities, gig work let it make the leap into workers’ homes and cars. The 21st century has seen a return to the cottage industry — a form of production that once saw workers labor far from their bosses and thus beyond their control — but shriven of the autonomy and dignity that working from home once afforded:

https://doctorow.medium.com/gig-work-is-the-opposite-of-steampunk-463e2730ef0d

The rise and rise of bossware — which allows for remote surveillance of workers in their homes and cars — has turned “work from home” into “live at work.” Reverse centaurs can now be chickenized — a term from labor economics that describes how poultry farmers, who sell their birds to one of three vast poultry processors who have divided up the country like the Pope dividing up the “New World,” are uniquely exploited:

https://onezero.medium.com/revenge-of-the-chickenized-reverse-centaurs-b2e8d5cda826

A chickenized reverse centaur has it rough: they must pay for the machines they use to make money for their bosses, they must obey the orders of the app that controls their work, and they are denied any of the protections that a traditional worker might enjoy, even as they are prohibited from deploying digital self-help measures that let them twiddle back to bargain for a better wage.

All of this sets the stage for a phenomenon called algorithmic wage discrimination, in which two workers doing the same job under the same conditions will see radically different payouts for that work. These payouts are continuously tweaked in the background by an algorithm that tries to predict the minimum sum a worker will accept to remain available without payment, to ensure sufficient workers to pick up jobs as they arise.

This phenomenon — and proposed policy and labor solutions to it — is expertly analyzed in “On Algorithmic Wage Discrimination,” a superb paper by UC Law San Franciscos Veena Dubal:

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

Dubal uses empirical data and enthnographic accounts from Uber drivers and other gig workers to explain how endless, self-directed twiddling allows gig companies pay workers less and pay themselves more. As @[email protected] explains in his LA Times article on Dubal’s research, the goal of the payment algorithm is to guess how often a given driver needs to receive fair compensation in order to keep them driving when the payments are unfair:

https://www.latimes.com/business/technology/story/2023-04-11/algorithmic-wage-discrimination

The algorithm combines nonconsensual dossiers compiled on individual drivers with population-scale data to seek an equilibrium between keeping drivers waiting, unpaid, for a job; and how much a driver needs to be paid for an individual job, in order to keep that driver from clocking out and doing something else. @ Here’s how that works. Sergio Avedian, a writer for The Rideshare Guy, ran an experiment with two brothers who both drove for Uber; one drove a Tesla and drove intermittently, the other brother rented a hybrid sedan and drove frequently. Sitting side-by-side with the brothers, Avedian showed how the brother with the Tesla was offered more for every trip:

https://www.youtube.com/watch?v=UADTiL3S67I

Uber wants to lure intermittent drivers into becoming frequent drivers. Uber doesn’t pay for an oversupply of drivers, because it only pays drivers when they have a passenger in the car. Having drivers on call — but idle — is a way for Uber to shift the cost of maintaining a capacity cushion to its workers.

What’s more, what Uber charges customers is not based on how much it pays its workers. As Uber’s head of product explained: Uber uses “machine-learning techniques to estimate how much groups of customers are willing to shell out for a ride. Uber calculates riders’ propensity for paying a higher price for a particular route at a certain time of day. For instance, someone traveling from a wealthy neighborhood to another tony spot might be asked to pay more than another person heading to a poorer part of town, even if demand, traffic and distance are the same.”

https://qz.com/990131/uber-is-practicing-price-discrimination-economists-say-that-might-not-be-a-bad-thing/

Uber has historically described its business a pure supply-and-demand matching system, where a rush of demand for rides triggers surge pricing, which lures out drivers, which takes care of the demand. That’s not how it works today, and it’s unclear if it ever worked that way. Today, a driver who consults the rider version of the Uber app before accepting a job — to compare how much the rider is paying to how much they stand to earn — is booted off the app and denied further journeys.

Surging, instead, has become just another way to twiddle drivers. One of Dubal’s subjects, Derrick, describes how Uber uses fake surges to lure drivers to airports: “You go to the airport, once the lot get kind of full, then the surge go away.” Other drivers describe how they use groupchats to call out fake surges: “I’m in the Marina. It’s dead. Fake surge.”

That’s pure twiddling. Twiddling turns gamification into gamblification, where your labor buys you a spin on a roulette wheel in a rigged casino. As a driver called Melissa, who had doubled down on her availability to earn a $100 bonus awarded for clocking a certain number of rides, told Dubal, “When you get close to the bonus, the rides start trickling in more slowly…. And it makes sense. It’s really the type of shit that they can do when it’s okay to have a surplus labor force that is just sitting there that they don’t have to pay for.”

Wherever you find reverse-centaurs, you get this kind of gamblification, where the rules are twiddled continuously to make sure that the house always wins. As a contract driver Amazon reverse centaur told Lauren Gurley for Motherboard, “Amazon uses these cameras allegedly to make sure they have a safer driving workforce, but they’re actually using them not to pay delivery companies”:

https://www.vice.com/en/article/88npjv/amazons-ai-cameras-are-punishing-drivers-for-mistakes-they-didnt-make

Algorithmic wage discrimination is the robot overlord of our nightmares: its job is to relentlessly quest for vulnerabilities and exploit them. Drivers divide themselves into “ants” (drivers who take every job) and “pickers” (drivers who cherry-pick high-paying jobs). The algorithm’s job is ensuring that pickers get the plum assignments, not the ants, in the hopes of converting those pickers to app-dependent ants.

In my work on enshittification, I call this the “giant teddy bear” gambit. At every county fair, you’ll always spot some poor jerk carrying around a giant teddy-bear they “won” on the midway. But they didn’t win it — not by getting three balls in the peach-basket. Rather, the carny running the rigged game either chose not to operate the “scissor” that kicks balls out of the basket. Or, if the game is “honest” (that is, merely impossible to win, rather than gimmicked), the operator will make a too-good-to-refuse offer: “Get one ball in and I’ll give you this keychain. Win two keychains and I’ll let you trade them for this giant teddy bear.”

Carnies aren’t in the business of giving away giant teddy bears — rather, the gambit is an investment. Giving a mark a giant teddy bear to carry around the midway all day acts as a convincer, luring other marks to try to land three balls in the basket and win their own teddy bear.

In the same way, platforms like Uber distribute giant teddy bears to pickers, as a way of keeping the ants scurrying from job to job, and as a way of convincing the pickers to give up whatever work allows them to discriminate among Uber’s offers and hold out for the plum deals, whereupon then can be transmogrified into ants themselves.

Dubal describes the experience of Adil, a Syrian refugee who drives for Uber in the Bay Area. His colleagues are pickers, and showed him screenshots of how much they earned. Determined to get a share of that money, Adil became a model ant, driving two hours to San Francisco, driving three days straight, napping in his car, spending only one day per week with his family. The algorithm noticed that Adil needed the work, so it paid him less.

Adil responded the way the system predicted he would, by driving even more: “My friends they make it, so I keep going, maybe I can figure it out. It’s unsecure, and I don’t know how people they do it. I don’t know how I am doing it, but I have to. I mean, I don’t find another option. In a minute, if I find something else, oh man, I will be out immediately. I am a very patient person, that’s why I can continue.”

Another driver, Diego, told Dubal about how the winners of the giant teddy bears fell into the trap of thinking that they were “good at the app”: “Any time there’s some big shot getting high pay outs, they always shame everyone else and say you don’t know how to use the app. I think there’s secret PR campaigns going on that gives targeted payouts to select workers, and they just think it’s all them.”

That’s the power of twiddling: by hoarding all the flexibility offered by digital tools, the management at platforms can become centaurs, able to string along thousands of workers, while the workers are reverse-centaurs, puppeteered by the apps.

As the example of Adil shows, the algorithm doesn’t need to be very sophisticated in order to figure out which workers it can underpay. The system automates the kind of racial and gender discrimination that is formally illegal, but which is masked by the smokescreen of digitization. An employer who systematically paid women less than men, or Black people less than white people, would be liable to criminal and civil sanctions. But if an algorithm simply notices that people who have fewer job prospects drive more and will thus accept lower wages, that’s just “optimization,” not racism or sexism.

This is the key to understanding the AI hype bubble: when ghouls from multinational banks predict 13 trillion dollar markets for “AI,” what they mean is that digital tools will speed up the twiddling and other wage-suppression techniques to transfer $13T in value from workers and consumers to shareholders.

The American business lobby is relentlessly focused on the goal of reducing wages. That’s the force behind “free trade,” “right to work,” and other codewords for “paying workers less,” including “gig work.” Tech workers long saw themselves as above this fray, immune to labor exploitation because they worked for a noble profession that took care of its own.

But the epidemic of mass tech-worker layoffs, following on the heels of massive stock buybacks, has demonstrated that tech bosses are just like any other boss: willing to pay as little as they can get away with, and no more. Tech bosses are so comfortable with their market dominance and the lock-in of their customers that they are happy to turn out hundreds of thousands of skilled workers, convinced that the twiddling systems they’ve built are the kinds of self-licking ice-cream cones that are so simple even a manager can use them — no morlocks required.

The tech worker layoffs are best understood as an all-out war on tech worker morale, because that morale is the source of tech workers’ confidence and thus their demands for a larger share of the value generated by their labor. The current tech layoff template is very different from previous tech layoffs: today’s layoffs are taking place over a period of months, long after they are announced, and laid off tech worker is likely to be offered a months of paid post-layoff work, rather than severance. This means that tech workplaces are now haunted by the walking dead, workers who have been laid off but need to come into the office for months, even as the threat of layoffs looms over the heads of the workers who remain. As an old friend, recently laid off from Microsoft after decades of service, wrote to me, this is “a new arrow in the quiver of bringing tech workers to heel and ensuring that we’re properly thankful for the jobs we have (had?).”

Dubal is interested in more than analysis, she’s interested in action. She looks at the tactics already deployed by gig workers, who have not taken all this abuse lying down. Workers in the UK and EU organized through Worker Info Exchange and the App Drivers and Couriers Union have used the GDPR (the EU’s privacy law) to demand “algorithmic transparency,” as well as access to their data. In California, drivers hope to use similar provisions in the CCPA (a state privacy law) to do the same.

These efforts have borne fruit. When Cornell economists, led by Louis Hyman, published research (paid for by Uber) claiming that Uber drivers earned an average of $23/hour, it was data from these efforts that revealed the true average Uber driver’s wage was $9.74. Subsequent research in California found that Uber drivers’ wage fell to $6.22/hour after the passage of Prop 22, a worker misclassification law that gig companies spent $225m to pass, only to have the law struck down because of a careless drafting error:

https://www.latimes.com/california/newsletter/2021-08-23/proposition-22-lyft-uber-decision-essential-california

But Dubal is skeptical that data-coops and transparency will achieve transformative change and build real worker power. Knowing how the algorithm works is useful, but it doesn’t mean you can do anything about it, not least because the platform owners can keep touching their knobs, twiddling the payout schedule on their rigged slot-machines.

Data co-ops start from the proposition that “data extraction is an inevitable form of labor for which workers should be remunerated.” It makes on-the-job surveillance acceptable, provided that workers are compensated for the spying. But co-ops aren’t unions, and they don’t have the power to bargain for a fair price for that data, and coops themselves lack the vast resources — “to store, clean, and understand” — data.

Co-ops are also badly situated to understand the true value of the data that is extracted from their members: “Workers cannot know whether the data collected will, at the population level, violate the civil rights of others or amplifies their own social oppression.”

Instead, Dubal wants an outright, nonwaivable prohibition on algorithmic wage discrimination. Just make it illegal. If firms cannot use gambling mechanisms to control worker behavior through variable pay systems, they will have to find ways to maintain flexible workforces while paying their workforce predictable wages under an employment model. If a firm cannot manage wages through digitally-determined variable pay systems, then the firm is less likely to employ algorithmic management.”

In other words, rather than using market mechanisms too constrain platform twiddling, Dubal just wants to make certain kinds of twiddling illegal. This is a growing trend in legal scholarship. For example, the economist Ramsi Woodcock has proposed a ban on surge pricing as a per se violation of Section 1 of the Sherman Act:

https://ilr.law.uiowa.edu/print/volume-105-issue-4/the-efficient-queue-and-the-case-against-dynamic-pricing

Similarly, Dubal proposes that algorithmic wage discrimination violates another antitrust law: the Robinson-Patman Act, which “bans sellers from charging competing buyers different prices for the same commodity. Robinson-Patman enforcement was effectively halted under Reagan, kicking off a host of pathologies, like the rise of Walmart:

https://pluralistic.net/2023/03/27/walmarts-jackals/#cheater-sizes

I really liked Dubal’s legal reasoning and argument, and to it I would add a call to reinvigorate countertwiddling: reforming laws that get in the way of workers who want to reverse-engineer, spoof, and control the apps that currently control them. Adversarial interoperability (AKA competitive compatibility or comcom) is key tool for building worker power in an era of digital Taylorism:

https://www.eff.org/deeplinks/2019/10/adversarial-interoperability

To see how that works, look to other jursidictions where workers have leapfrogged their European and American cousins, such as Indonesia, where gig workers and toolsmiths collaborate to make a whole suite of “tuyul apps,” which let them override the apps that gig companies expect them to use.

https://pluralistic.net/2021/07/08/tuyul-apps/#gojek

For example, ride-hailing companies won’t assign a train-station pickup to a driver unless they’re circling the station — which is incredibly dangerous during the congested moments after a train arrives. A tuyul app lets a driver park nearby and then spoof their phone’s GPS fix to the ridehailing company so that they appear to be right out front of the station.

In an ideal world, those workers would have a union, and be able to dictate the app’s functionality to their bosses. But workers shouldn’t have to wait for an ideal world: they don’t just need jam tomorrow — they need jam today. Tuyul apps, and apps like Para, which allow workers to extract more money under better working conditions, are a prelude to unionization and employer regulation, not a substitute for it.

Employers will not give workers one iota more power than they have to. Just look at the asymmetry between the regulation of union employees versus union busters. Under US law, employees of a union need to account for every single hour they work, every mile they drive, every location they visit, in public filings. Meanwhile, the union-busting industry — far larger and richer than unions — operate under a cloak of total secrecy, Workers aren’t even told which union busters their employers have hired — let alone get an accounting of how those union busters spend money, or how many of them are working undercover, pretending to be workers in order to sabotage the union.

Twiddling will only get an employer so far. Twiddling — like all “AI” — is based on analyzing the past to predict the future. The heuristics an algorithm creates to lure workers into their cars can’t account for rapid changes in the wider world, which is why companies who relied on “AI” scheduling apps (for example, to prevent their employees from logging enough hours to be entitled to benefits) were caught flatfooted by the Great Resignation.

Workers suddenly found themselves with bargaining power thanks to the departure of millions of workers — a mix of early retirees and workers who were killed or permanently disabled by covid — and they used that shortage to demand a larger share of the fruits of their labor. The outraged howls of the capital class at this development were telling: these companies are operated by the kinds of “capitalists” that MLK once identified, who want “socialism for the rich and rugged individualism for the poor.”

https://twitter.com/KaseyKlimes/status/821836823022354432/

There's only 5 days left in the Kickstarter campaign for the audiobook of my next novel, a post-cyberpunk anti-finance finance thriller about Silicon Valley scams called Red Team Blues. Amazon's Audible refuses to carry my audiobooks because they're DRM free, but crowdfunding makes them possible.

Image: Stephen Drake (modified) https://commons.wikimedia.org/wiki/File:Analog_Test_Array_modular_synth_by_sduck409.jpg

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[Image ID: A complex mandala of knobs from a modular synth. In the foreground, limned in a blue electric halo, is a man in a hi-viz vest with the head of a horse. The horse's eyes have been replaced with the sinister red eyes of HAL9000 from Kubrick's '2001: A Space Odyssey.'"]

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txttletale · 2 months

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can you elaborate on the reasons ? what criticisms do you disagree with?

criticisms i disagree with:

"they character assassinated jane" amiguita there was no character to assisnate.

"they character assassinated dirk" dirk is at his most interesting and likeable ever and is just about the only redeeming thing about these

"they were just written to spite the fans" if true tht would have been Epic, and Based. but they very obviously werent

"its too violent and sexual for cheap shock humour" did you. read homestuck, the web comic? what were you Expecting... also like it or not the sexual content isnt just random or gratuitous it is obviously trying to be a conclusion to the whoel coming-of-age theme of homestuck as a work.

"so-and-so is out of character" homestuck characters are malleable little dolls that can be rearranged to suit the narrative at a whim. this is true about all fictional characters ofc but it is like explicitly textually metaphysically true in homestuck

my criticisms:

the heavy-handed political messaging is fucking tedious and awful and so profoundly of its time in a bad way. its clearly a reaction to trump but it doesnt have anything interesting to say about him or fascism or racism or anything, really, except, um. Cheeto in the white house?. the whole Evil Jane plot is too stupid and contrived for the sake of the satire to take seriously but also its awful satire written by liberals who think fascism as invented in 2016 by the orange man

god can we fucking talk about how fucking embarassing the obama shit is. jesus fucking christ. for a start it's a callback to a running jhoke in homestuck that is straight up just super racist. and they decide to pivot from the joke being 'its funny that theres a black president', which is good, but they pivot it to 'obama seems so heroic and magical now that we're stuck with the Orange Man', which, admittedly, is better than Being Racist, but also sucks shit. he killed people amiguitas.

'post-canon' is cheap bullshit. like, the work makes a big deal about tryng to talk about What Canon Is, without ever acknowledging the concept of, like, IP law. claiming to just be a non-canon continuation like any other when it's made by people with the Official Exclusive Legal Rights just feels hollow and detooths any liberatory/deconstructive potential there. unironically my opinion of it would go up like tenfold if it had been actually published in AO3 instead of just joking about it.

in general i think that all of the attempt to deconstruct fiction or storytelling is rooted in a really weird and flawed model of storytelling. a lot of it seems to be taking an extremely long route to writing something bad on purpose and then saying 'see, if you wrote something like this, it would be bad'. Okay. i like deconstructive collapsing narrative shit in e.g. if on a winter's night a traveller because i think calvino has trenchant and interesting insights about literature and storytelling. i do think hussie also has those but they essentially dropped and explored all of them in homestuck and the epilogues just seem like an attempt to connect ohomstuck's disparate and contradictory approaches to Narrative into one overarching schemata and then crtiique that schemata, which i think is a doomed project that results in little of interest to me.

#ask #homestuck

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phonesuite · 3 months

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The telephone system is an essential tool for successful hospitality operations, and where evolving communication is key to providing exceptional customer service. A robust phone system ensures that orders are accurately taken, reservations are managed, and customer inquiries are answered. Read More...

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richardmhicks · 4 months

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Always On VPN and IPv6

Internet Protocol version 6 (IPv6) has been with us for nearly 30 years. IPv6 adoption on the public Internet has steadily increased over the last decade, and today is approaching 50%. However, enterprise adoption of IPv6 has been surprisingly sluggish despite its numerous benefits. IPv6 includes an expanded address space that removes complex subnetting requirements and globally unique addressing…

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virtualizationhowto · 10 months

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WG-Easy: Wireguard Config Generator VPN Server in Docker

WG-Easy: Wireguard Config Generator VPN Server in Docker #100daysofhomelab @vexpert #WireguardVPN #WireGuardEasyTutorial #SetupWireGuardVPN #WireGuardServerConfiguration #WireGuardDockerInstallation #SimplifiedVPNSetup #WireGuardIPRouting

WireGuard has made a significant impact since its initial release in 2016, providing a modern VPN that is not just secure but straightforward to set up. It is widely deployed and works for home networks and supercomputers alike, but the setup can sometimes be a bit of a headache. Enter “WG Easy,” the easiest way to install and manage WireGuard on any Linux host. Let’s see how it makes an easy…

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#Cross-Platform VPN Solution #Private and Public Keys in WireGuard #Secure Network Interfaces #Setup WireGuard VPN #Simplified VPN Setup #WireGuard Client Configuration #WireGuard Docker Installation #WireGuard Easy Tutorial #WireGuard IP Routing #WireGuard Server Configuration

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catt-nuevenor · 4 months

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The Future

Time to establish what's going to happen from this point forwards.

The vast majority of you have been exceptionally patient this last year, and for that you have my deepest thanks. You've given me the time to not only write a book, but edit it, and send it off to literary agents, something I would have long given up on doing without the continued support of those who enjoy my writing.

Now that the book is off doing the rounds independently, it's time I got back to Myrk Mire.

Originally Myrk Mire was built in ChoiceScript, a scripting language created by the Choice of Games company. Choice of Games control what is done with their script, understandably, they own it. This does pose some restrictions. I can't, for example, release any paid material built using ChoiceScript unless it is directly through their publishing label. If I do publish under their label, I maintain IP or Intellectual Property Rights, however I also grant them the exclusive rights under perpetual license to publish the multiple choice game 'electronically'.

Source: Choice of Games.com

As you can see from the outline above, they do make exceptions for stories published in non-competing formats, and for sequels, prequels, and spin-offs. However, traditional publishing houses might require stricter control over IP, distribution, and exclusivity. It will only become more and more complicated as things progress, and being locked into a perpetual license agreement of any nature is not a decision to make lightly.

As some of you may be sensing from the tone of all this so far, I'm going to be moving Myrk Mire away from Choice of Games and ChoiceScript, and into a new medium/format.

After tinkering, and trialling with a few alternatives, I've decided to go with Renpy. Renpy, while largely used for visual novel style games and stories, provides a very workable framework for interactive fiction, and is an Open Source script, it isn't beholden to publishing contracts, licence cost, or exclusivity.

I'm not going to be diving into transferring Myrk Mire right away, it's a huge piece of writing, in an entirely different scripting language, and as previously stated, there are a lot of changes I want to implement with the cast. Instead, I'm creating a trial story: One Háḟest Day. My Patrons have been aware of all this for about a month or so, and have already seen some previews.

One Háḟest Day takes place in Aldmirham before the events of Myrk Mire, around the time the Main Character and the Wanderers first arrived in town. The reader will have the choice to follow one of the romanceable characters through a single day, with opportunities to explore their lives and relationships before the Main Character and Child come along. I hope it will provide a proving ground for the changes that previously caused debate, and an opportunity for people to try out the new format and interface.

My plan is to distribute One Háḟest Day through Itch.io, working with their early access framework and voluntary payments for such as soon as one of the character routes is ready to play from beginning to end, updating regularly with the other characters as they too are completed, and with additional features as required. Once the full game is complete, I will release a separate full build with a set minimum price that can be discussed with the community as we move forwards.

At the second, I'm aiming for a web hosted format and a desktop/laptop downloadable format, with phone compatibility to come later down the line once things are stable.

I will post production updates and info when I can to tumblr, though a lot of what I'm doing now is very python coding heavy, so perhaps not that interesting?

I've included some screenshots below of very early development, featuring a Character Log and Word Log that I hope will allow readers to more easily navigate the story. I'm toying with the idea of having a Mysteries Log as well that will keep track of snippets of information gleaned from each character's route, but that can be a tinkering feature for now.

Let me know your thoughts, concerns, or excitement, though do keep all messages objective and polite.