Then these sharks won't be able to make the campaign contributions necessary to get complying elected officials re-elected.

Can't have that.

Spank people who can't pay their bills for whatever reason? Childcare, healthcare costs, inflexible employment traps, maybe we change more for those. Usurious alimony? Car financing deals from the seventh level of hell? Hey-- don't touch that stuff!

Alter bankruptcy laws to make them easier? NO WAY!

What we need are more student loans at the drop of a hat, for any degree, no matter how unsalable, how inane, how self-indulgent. /eye-roll

Agreed. This is a race to the bottom. No one should depend on AI, because AI then undoes AI mistakes undoes AI mistakes because there is no harmonization among approaches. This will not end well.

If you're used to finding inaccuracy and accepting that, then you'll do fine, and have no regrets. For the other eight billion of us, we find this both immoral, and still another example of the immunity from liability by the bad advice from AI, itself an oxymoron.

This is the same logic leap that makes people believe that driverless cars are ready to put on the highways.

These are big lies, foisted by trillions of dollars in bad investments, trying to bring halo to trusting people who believe the big lies. Small successes fool people into unearned trust. Marketing is powerful because people are believers. Sadly, only skeptics are rewarded these days.

There is hope. Learn the real basics of software engineering; you'll make do. AI can help you, but the hype goes away in a year or two. You'll need non-vibe, real coding background by then, and people will need you... then.

The ideas foisted in the post are plainly bad ideas, but each of the sponsors is now roped in to making the KoolAid look palatable. Sam Altman, leader of this Jonestown, will retire some place offshore.

Yes, why not react to any jab of their business model, which is to feed drones to the machine?

No doubt they're as mad as wet hens. Journalism does that. Facts and truth to power is the dynamic. The NYT is not immune from influence, but the article citation has factual basis.

Countering capitalism is dangerous stuff.

How does that size, that weight of merch go out the door?

What wall were they using, Silly Putty (pun intended).

WTLF, RH? Have you no shame, no regard for your clientele's asset value? Who's getting sacked? Indicted?

Oh. It was AI.

Carry on.

Let's say that were true. How much AI blather would you tolerate unwinding, over what period of time? '

Your answer might be: Hey V64, please analyze this and rewrite in Foo.

More Foo.

The wheels of justice turn slowly. But at the end, he'll or she'll get $28.19 as their share of the settlement of the class action, sometime in 2033.

This won't end well. Imagine all of the bad apps with spaghetti code for every employee who leaves for whatever reason.

There'll be an AI to undo an AI, then figure out the data stores and make sense of those.

This is an entropy vortex looking for a spot marked X.

Let the mayhem start.

In other news, former slave owner exec and pillar of destroyed privacy cracks whip, compares other slaves as more productive. Has multiple citizenships to avoid US taxes. News at 11.

So long as I have root or sudo, I'm happy with it.

Why, gosh. They asked GPT-5, and that was their answer! Are you going to doubt AI?

Ignore that guy behind the curtain whose negative revenue trajectory look like it approaches a Schwarzchild radius named Altman. He just got a great boost from EVERYONE!! A hundred billion in circular money, by golly!

You think he's gonna declare his little toy an imbecile?

Even lemmings want to save money.

There is also an evolution away from VMware, away from running Windows instances, into assessing workloads, understanding actual virtualization, and migrating away from what was once a revolutionary platform that's now leaden with cost burden and inflexibility.

There are a myriad ways, but the first part of understanding the problem is to understand the nature of workflows. Then assess the platforms. Promox is fine. And so are the steps to move to Docker, Kube, pub/sub models, and flexible infrastructure.

This is easier said than done, but if organizations want to set themselves free and untether themselves from expired tech platforms, the re-examination has to be one. Then one sells it to management (major step), and begins migration.

You do interns no favor by teaching them brittle, and increasingly useless tech. Evolution slows for no one. Infrastructure is no exception.

To use a tech metaphor, think of how many viable phone brands were in a phone store in 2005, and how much brand diversity you see now. Same goes for PC/laptop brands, even tablets. Money moves to find early leaders and funds them, until it's no longer profitable. Then there's a consolidation period, and monopolization of supply chains.

Although there's specific hardware underneath, AI is an app. What are the lifecycle of apps? Take a look at early office app consolidation. Anyone remember dBase? When Oracle's SQL had maybe three viable competitors? How many early cloud hosting facilities were bought up, and made into consolidated platforms? Does anyone remember Sprint, MCI, AT&T, and the wars that lead to Level 3, who is also now gone? Rackspace?

Training source data is one problem, evolving AI APIs are another. Interlinking intelligence still another. Hype for the sake of someone buying your early terms sheet, still another.

The lack of QA, model integrity, highly publicized hallucinations, lack of boundaries and effective controls, specific training data revelations, all these seem like opportunity to do better than the next competitor, except they fail, too. Dump trucks full of cash is a hallowed way of burning money to find longer-term returns.

The enshitifcation point, where good work turns into creating only vaguely iterative successes seems closer than it should.

These aren't bubbles, they're cycles we've seen before, whose energy burst like a bubble. Then we moved on.