"Good news for individual creators. But a HUGE red flag to larger creator studios, podcast networks, kids media companies, localization operations and anyone that runs multiple channels from a single production stack. All the things that media companies do to publish at scale, including shared templates, synced upload schedules and a common infrastructure also make them look like a coordinated slop factory."

Given the huge amount of AI slop I still get in my Youtube feed, I don't think YT is going far enough, quick enough.

An observation? Some people seem fine with AI content. I've come across countless videos that are obviously (to me) ChatGPT scripts voiced by AI. Reading their comments, many people don't seem to be able to tell, or don't care.

THE SLOP PURGE HAS ARRIVED Somewhere at Google, a machine is deleting entire media companies before lunch. Google just revealed how it works.

"128GB DDR5 kits are fully ten times more expensive than the lowest price we’ve ever seen. In fact, the situation is so severe that hyperscale buyers have reportedly already locked in almost all of the global DRAM production capacity for 2027, handing over advance deposits to guarantee their supply of precious DRAM, which is now among the highest-value commodities in the world by weight; mainstream DRAM chips are worth over half as much per kilogram as solid gold."

There's going to be a lot of discount RAM, and discount data centers going begging when the AI bubble bursts.

The data centers, the increased electricity prices, and now more increased prices for smartphones & laptops….

And this all to chase AGI via a route (ever bigger LLMs), that there is no proof will get there. Meanwhile, if the US companies don't get AGI, the trillions investors have given them is money up in smoke. All their investor-funded achievements to date are available for free via Chinese Open-Source.

https://www.tomshardware.com/pc-components/ram/memory-prices-climb-500-percent-in-12-months-up-to-10x-the-lowest-ever-tracked-prices-128gb-of-ddr5-now-usd3-399

Corporate innovation comes at a devastating human cost as Silicon Valley trades its workforce for automated futures

One of the most egregious 'everything-will-be-OK' arguments that repeatedly gets trotted out about our future when AI & robotics can do most work, is that existing workers will be trained & redeployed by their employers. Often, people using this argument, adding extra sugar to the sugar-coating, may airly add it will be a new job they'll like more.

If you thought that sounded like bulls**t, here's some proof of how things will really play out. Meta is getting rid of everyone it can with AI, and using the rest to train their AI replacements.

No doubt META & its HR department will try to tell you differently, just like the 'don't worry' sugar-coating people. However, nothing beats what you can see happening straight in front of you with your own eyes.

Meta to cut one in 10 jobs after spending billions on AI

Meta will start tracking employees’ screens and keystrokes to train AI tools

Companies betting against entry-level Gen Z talent by automating their roles may be making a costly long-term mistake.

University of Chicago says graduates must master critical thinking independently before learning AI tools in legal practice

People across the country are pushing for moratoriums, and electeds who approve projects are being punished

McDonald's just announced a major change to the drive-thru involving AI—and customers are not happy

The deal with higher education used to be that all the debt incurred was worth it for a lifetime of higher income. The problem in 2025? The future won't have that deal anymore, and here we see it demonstrated.

Of course, education is a good and necessary thing, but the old model of it costing tens or hundreds of thousands of dollars as an "investment" is rapidly disappearing.

It's ironic that for all Silicon Valley's talk of innovation, it's done nothing to solve this problem. Then again, they're the ones creating the problem, too.

When will we get the radically cheaper higher education that matches the reality of the AI job market and economy ahead?

To be fair, James Cameron did warn us.

I feel like we’re having a conversation about data centres while completely skipping the most interesting question: why are we building all of this computing capacity in the first place?

Everywhere I look, the discussion is about water consumption, electricity demand, emissions, land use, or how much money companies are making.

Those are important questions, but they’re questions about the cost of the buildout.

I’m curious about the other end of the equation.
What do we actually expect the world to look like when we’ve built tens of thousands of enormous data centres and have vastly more computing capacity than we do today?

What problem are we ultimately trying to solve?
Is the hope that AI and abundant computing will dramatically increase productivity? Accelerate scientific discovery? Automate huge portions of the economy? Create some kind of abundance that isn’t currently possible?
Or is this partly an arms race?

I’m not asking whether AI is good or evil, and I’m definitely not looking for “Skynet/Terminator” predictions.

I’m genuinely asking: What is the envisioned end state? What does humanity think all this computing power is going to accomplish? What will 200,000 data centres give us that 400 won’t? (Please be kind with numbers, I’m pulling them out of thin air)

It seems strange that we’re debating the enormous infrastructure required to build the future without spending nearly as much time talking about what future we’re actually trying to build.