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None of these generalizations are new to people who have had to work in service industry or customer service.

I have no sympathy for tech workers griping about these changes. Before I transitioned to I.T. I worked in the some of the most demanding call centers in the BPO world.

There was no remote work, every single minute of your day was monitored and you felt like you were in a fish bowl where every word and kpi was being analyzed by management. If you didn’t meet all 10-15 metrics you basically had one foot on a banana peel.

Put your big boy pants on tech bro. Winter is coming!


“How Can I Help” by Linda Hand


Const economy = [ “People living check to check”, “Landlords living month to month”, “Corporations living bailout to bailout”, “Governments living war to war” ];


It's surprising to see the iPhone 17 Pro Max specs compared to those of the Galaxy S25 Ultra.

Comparisons show the S25 Ultra leading in several areas, especially the cameras. The difference in megapixel count is significant.

For years, Apple's flagships were considered superior, but Samsung appears to be pushing boundaries with the S25 Ultra.

Is Apple truly behind, or does their optimization and ecosystem integration make up for it?


Their cameras have been terrible for a long time (comparatively speaking). I switched from a Pixel 6a to an iPhone 16 and was shocked at how bad my pictures are now. I get the feeling that iPhone users just don't know any better because they've always had an iPhone.


Seems like it just has to do with what you're expecting from a smartphone camera. I feel like Google Pixel is doing even more photo edit magic than iPhone.


They're straight up using generative AI on zoomed photos now to turn details into AI slop artifacts

https://whatever.scalzi.com/2025/08/29/pictures-not-photos-w...


Which is literally what Apple announced in this video:

"and the 2x telephoto has an updated photonic engine, which now uses machine learning to capture the lifelike details of her hair and the vibrant color of her jacket"

"like the 2x telephoto, the 8x also utilizes the updated photonic engine, which integrates machine learning into even more parts of the image pipeline. we apply deep learning models for demosaicing"


They've been using that terminology for like a decade. They take multiple photos and use ML to figure out how to layer them together into a final image where everything is adequately exposed, and applies denoising. Google has done the same thing on Pixels since they've existed.

That's very different from taking that final photo and then running it through generative AI to guess what objects are. Look at the images in that article. It made the stop sign into a perfectly circular shiny button. I've never seen artifacting like that on a photo before.


Amateur photography overemphasizes megapixel count. While a 200MP phone sensor is impressive, the iPhone’s larger pixels and faster sensor deliver superior HDR, low-light, and action shots. However, I find iOS image processing poor; despite Samsung’s oversaturated photos, their processing is better. The proof of the sensor quality is in the video though: never seen video from an Android phone match that of a comparable iPhone.


I was going to tell you a joke about a broken pencil, but there's no point.


An awful lot of Monday morning quarterback CEOs are here running their mouths about what Tim Cook should do or what they would do. Chill out with the extremely confident ignorance. Tim Cook brought Apple to a billion dollars in free cash he doesn’t need to ride the hype train.

Also let’s not forget they are first and foremost designers of hardware and the arms race is only getting started.


Not sure I can think of anything that is more performant per watt for LLMs than Apple Silicon.


A datacenter GPU is going to be an order of magnitude more efficient.


I stayed up all night to see where the sun went, and then it dawned on me.


I heard the bakery caught fire. The whole place is toast.


The article's comparison to the 19th century railroad boom is pretty spot on for how big it all feels, but maybe not so much for what actually happened.

Back then, the money poured into building real stuff like actual railroads and factories and making tangible products.

That kind of investment really grew the value of companies and was more about creating actual economic value than just making shareholders rich super fast.


While some of the investment in railroads (and canals before it, and shipping before that) was going into physical assets of economic value, there were widespread instances of speculation, land "rights" fraud, and straight up fraud without any economic value added.


> Back then, the money poured into building real stuff

Its limitations are well-documented, but cutting-edge AI right now is very much "real stuff."


You have no idea what you are talking about.

The amount speculation and fraud from this time period would make even the biggest shit coin fraud blush.

Try a biography of Jay Gould if you want more information.


Bingo!


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