You'd think implementing OAuth2 were splitting the atom the way so many dev teams won't even consider rolling their own or using the multiple well-tested free libraries.

So they're not just selfish, but delusional.

"Family members and supporters ... called the punishment cruel, callous and starkly disproportionate to the defendants’ actions." The defendants were convicted "on a variety of federal charges, including riot, material support for terrorists, attempted murder, possession and conspiracy to use explosives, and conspiracy to conceal documents."

What is a proportionate sentence for convictions like these? In other words, is there a norm when looking at similar convictions?

There's a guy in my town who murdered a teenage girl then cut her up and threw her in a dumpster. He's got less time than these people.

I'm reading sentencing guidelines for material support of terrorism.[0] It looks like they normally max out at 15 years (20 if in support of certain orgs). I saw somewhere that a study of 261 cases found an average sentence of 13 years. So, ceteris peribus, these do seem extremely high.

0. https://www.congress.gov/crs-product/R41333

Well one person got 30 years for "concealing documents" -- they moved a box of anarchist zines from their apartment to their car

And yet the guy concealing documents, moving them so the fbi couldn’t find them, storing them insecurely - nothing

I'm transitioning to freelance (independent consultant, full stack and Cloud), and I find I'm working alongside AI in business manager's hands. It's an uncanny mode of competition.

What, in your evaluation, are the top two or three attributes of an attractive resume?

There's only one: you work at a top-tier company.

* cite

> There is always a period of chaos before normalization.

In this case, it's the normalization period that has people terrified.

Understandable. Look at the possible directions:

- GenAI becomes a foundational requirement for tech and non tech sectors. If you’ve refused to engage, you’ve self-selected out of any of those sectors.

- GenAI usage shifts down to just the tech sector, but in an integrated fashion where current engineering practices are still desired. Everyone survives, but pay scales are adjusted down by a not-insignificant amount.

- GenAI bubbles badly, OpenAI and Anthropic merge with Google/Microsoft/Oracle/IBM/???. Tokens become extremely expensive and no one is leaning into agentic integration. Everyone thrives.

The problem with scenario one is it's still cope: "if you didn't develop the skills to use GenAI then you'll be left behind".

But that's not the promise of GenAI models. The skill floor is constantly lowering and your advanced workflow is rendered obsolete monthly.

I've not seen anything from the base models that replaces my engineering harness (workflow). There's a significant gap between what a generic LLM does and the domain I work in (software construction for complex applications).

You're diffing very large assets?

Is that surprising? It’s pretty common in anything game dev related, that’s why perforce is still in use, despite its horrible UX

Not every lottery winner has a detailed strategy.

There was nothing inadvertent about it. A decade of cultivating and harvesting millions of examples of this kind of pseudo-writing from underpaid internet piece-workers preceded LLMs.

Everyone should read through the (very short) skill file. Are we supposed to be this naive or dimwitted? LLM marketing is a transparent swindle at this point.