It’s obviously enough of a thing to warrant Google to crack down on it in both chrome and YouTube.

If it’s such a small problem, why spend the effort?

Social/Mobile games. So an already predatory industry. Let’s get people addicted to a game, and then suck as much money from them as possible.

In the industry, we definitely weren’t the only ones doing it. And really we were only doing basic stuff (it was all in house developed middleware, so effort vs reward didn’t make much sense to go hard) I wouldn’t be surprised if others were going deep.

• the hardest part is getting someone to part with their money. But once they’ve done it once, even for the smallest amount, the second purchase will be easier.
• conversions that stopped playing got emails with discounts.
• whales got freebies when they lost to keep them happy.
• everything else was just finding the customers perfect price.
• ultimately we were selling noting. So any sale is better than no sale. You can’t make a loss on a number in a database.

Everything was broken down into campaigns (we’d have multiple running at any one time) targeting different segments. Then we’d track the conversion, sale, and retention numbers of those campaigns against each other. Sometimes one campaign might flop for one segment but not another, so we’d retarget with a new one.

I don’t think it’s used much in other markets. I know Twilio has Segment, that could be used to do segmented pricing but I’ve never really seen it done in other industries.

I wouldn’t say it’s jaded me. It has made me conscious of my data footprint. I don’t play mobile or f2p games. But I am weary. The COVID greed-flation showed the mindset of businesses. It might not be long until targeted pricing becomes worthwhile to make number go up (still), and hidden under the guise of “lowering prices”.

You don’t need a monopoly for this to be a problem.

Databrokers can offer data sets of “customer price elasticity”. Tables of “how much we think X would spend on these generic item categories”. Eg “booly would pay $15 for a burger, vs $10 average”

Point of Sale systems could start offering integrations to these data sets.

All shops have to do now is set a list price, a minimum price, a category, and leave it up to the PoS to (not) give discounts.

You want a burger, you’re fed a single-use short lived discount “$5 off a $20 burger. Today only” While someone else gets “buy one get one free”.

It’s then a ‘fair’ market. Shops have and ‘compete’ with their (high) list prices, data brokers compete with “excess profit” statistics (ie, how much more money above the minimum price they made). Nobody is colluding, they’re just basing discounts off external arbitrary signals.

It slowly becomes the norm to get just-in-time discounts, and the consumer gets shafted. If you’re not in the system, you’re paying more than everyone else.

(And all of this has been happening in some markets for over a decade)

In a past life I wrote the software that did this.

It’s not just about charging more when you’re desperate. It’s also things like charging you less to keep you addicted, or getting you hooked. Exploiting your emotions and behaviour to make it effective. A small loss on you now could be a long time gain for them.

Some more scenarios:

• you’ve decided to quit alcohol. Your social media accounts are used to identify you’re looking for advice. They advertise more, and send you heavy, heavy discounts a few days in to keep you on the wagon.
• Your cars insurance tracker has picked up your erratic driving. Your phone has tracked more forceful interactions, your works email provider has revealed you’ve been in a minimum of three meetings all day; You’re having a shit, stressful, day. They can’t give you discounts on your cigarettes but they do know they can get you to buy two packs instead of one by serving you ads that suggest stock levels are low. You buy two and chain smoke all day, your daily average goes from 0.5 to 0.7 packs a day.
• You go to a chain restaurant often. They know they can get you to buy more in the long run if they increase the volume you eat gradually. Every visit they goad you into buying more. Didn’t do it last time? Steeper discounts next time. Until one day you buy the extra side. That’s now your new baseline. A few weeks of that and back onto the stair climb. A little by little. You’re spending more and more.
• you’re on holiday. everyone knows you’re not coming back anytime soon so they charge full price. But move to a new city? Everyone has discounts for you to get you in the door.

The data available back then was pretty minimal, effectively only the data we generated. But it was still enough to prey on your lizard brain. With data brokerage I’ve got no idea what level of evils we could have done.

Imo, the term “buy” for all goods should pass some sort of litmus test. Eg:

does the product being sold have the same properties as a brick?

• can the product be resold privately?
• can the product be lent to another user temporarily?
• would the product still perform its function when the manufacturer stops supporting it?
• would the product still perform its function if the manufacturer ceased to exist.

if the product does not pass all these tests, the customer is not buying. Consider using terms such as ‘rent’ or ‘lease’ or ‘subscription’

Because that’s the way the legal system works.

“Oops, had some harmful/illegal content on there? Nobody was /really/ hurt, or at least, we weren’t directly causing harm. I’ll take it down and eat a small fine.

Vs

“Oh I’m sorry, I’ll take down the 30s clip of your 90s movie. it has caused you 3million in damages? I’m so sorry, here’s some tools that will automate detection and removal of your property. I’m so sorry”

Is “The Algorithm” just “we stuffed all our GPT responses into a Lucene index and look for 80% matches”?

Because that’s what I’d do.

Man outraged map of Western Seaboard doesn’t contain directions to the moon.

I used to love ‘the cloud’. Rather, a specific slice of it.

I worked almost exclusively on AppEngine, it was simple. You uploaded a zip of your code to appengine and it ran it at near infinite scale. They gave you a queue, a database, a volatile cache, and some other gizmos. It was so simple you’d struggle to fuck it up really.

It was easy, it was simple, and it worked for my clients who had 10 DAU, and my clients who had 5 million DAU. Costs scaled nearly linearly, and for my hobby projects that had 0 DAU, the costs were comparable.

Then something happened and it slowly became complicated. The rest of the GCP cloud crept in and after spending a term with a client who didn’t use “the cloud” I came back to it and had to relearn nearly everything.

Pretty much all of the companies I’ve worked for could be run on early AppEngine. Nobody has needed anything more than it, and I’m confident the only reason they had more was because tech is like water. You need to put it in a bucket or it goes everywhere.

Give me my AppEngine back. It allowed me to focus on my (or my clients) problems. Not the ones that come with the platform.

Nah we want you to start all your fucking about, get any beverage or condiments you might want, wash your hands, and have everyone at the table ready to eat when the food is ready.

And subsequently, not get any criticism while we’ve finished our meal and you’ve just sat down because you had to go to the garage to get a new bottle of OJ, pee that became a poop, wash your hands, and find the sauce you’ve suddenly decided to dig out from the back of the pantry.

They were first to market with a decent GPGPU toolkit (CUDA) which built them a pretty sizeable userbase.

Then when competitors caught up, they made it as hard as possible to transition away from their ecosystem.

Like Apple, but worse.

I guess they learned from their Gaming heyday that not controlling the abstraction layer (eg OpenGL, DirectX, etc) means they can’t do lock in.

While suing everyone else that makes shovel handles that work with your shovel heads.

Problem then is, You Still gotta buy a truck to buy and haul your 2nd motorcycle, your 3rd motorcycle, your dirt bike, and your track bike.

Alternate headline:

Companies accept money for a thing that will happen anyway, and will be unable to prove if they say no.

GenAi is unfortunately here, and the technocracy wants you to want it so they can farm you for more and more intimate data to leverage and enforce their technocracy. And the only way they’re going to do it is by keeping the press positive, and feed it more and more data in the hopes it fixes things.

I was expecting some sort of “Ai discovers new bug in 30 year old software”… cool I’m excited.

Then they were talking about how the bug was persistent, and I’m more intrigued “is the bug some weird emergent behaviour corrupting state somewhere?”

Nope, just another example of a shit in shit out data model.

What are the icons for?

I know gnome, and the 3 that have their name in the logo (xfce, sway, tty).

I’m going back to Slackware. Can’t keep up with this shit any more.

Israel better start to follow the Geneva convention and start building particle accelerators under their cities.