FWIW, with a foothold in both domains, this is quite similar to a cop forum poster dismissing all conversation on CVEs until they get a citation on whether or not SWEs like memory safe languages. It's asking for research, when it can only be afforded an opinion poll, and the issue is too complex to boil down to "yes" or "no" - i.e. some "no"s may reveal the underbelly of dislikable cops, some "no"s may reveal it causes them to lack discretion in enforcement due to an over-zealous manager.
That’s not snarky. I am asking for evidence based on the original comment that police like wearing comments. My own anecdotes differ but they are of course anecdotes. Asking for citations is neither snarky nor worth of posting a rules link.
You seem to be misreading what I said. I am pointing out that what I have are anecdotes and I would love to have some real data instead of folks just claiming what police like or dislike. I am sorry you feel the need to be slightly rude in your response too. Again I am not hand waving but simply saying it’s hard to believe cops like wearing them but I have no idea what they feel and I would love data instead of folks expressing ideas. Unions highly opposed the rollout of cameras and I know in the biased selection of videos we see, conversation is often muted. Sorry my post confused you, I am not claiming to know either way!
I’ve heard good things about Pangram but it’s trivially easy to fool it. I generated text using Opus 4.8 and then humanized it using Grammarly. Pangram determined it 100% human-written. Tried it numerous times with the same result. GPTZero claimed with 80% confidence that it was human-written but AI polished. Nothing in that text was human-written.
As an academic who is forced to review AI-generated conference/journal submissions, I can assure you this is not the case. LLM-heavy papers are terrible.
Even if they manage to avoid straight-up factual incorrectness, the writing is full of ambiguities and vagueness when you look closely. Meanwhile, space is wasted repeating the same claim in multiple ways, or explaining something simple.
They also seem unable to resist the hype/advertising tone, overselling the contribution while exaggerating the limitations of related work.
I would much rather read grammatically incorrect or awkward sentences.
While academic writing does have a few pointless historical conventions, the huge majority of "status quo writing style" is a logical consequence of 1) minimizing ambiguity, 2) organizing ideas coherently, 3) distinguishing opinion/interpretation from fact, and 4) providing enough detail to be reproducible.
I don't know if Ed is far off the mark. But this article does nothing to help illuminate it.
He mixes estimated capex spend by like 3 different sources with actually commitments by the LLM providers.
He talks about how crazy it would be for ai providers to double revenue every year. But openai is doubling every 9 months and anthropic is doubling every 3.
It's obvious if AI consumption stops growing today those companies are in trouble, and if AI consumption keeps growing at current rates they'll be more than fine.
Most people expect growth rate to slow, just no one knows by how much. This will determine if there is an over build out or not.
The issue wasn't sharing a database, it was not being clear about who owns what.
Having multiple teams with one code base that has one database is fine. Every every line of code, table and column needs to be owned by exactly ONE team.
Ownership is the most important part of making an organization effective.
The vast majority of people who write don't have a voice worth preserving. The rest can build out a voice document to make sure the AI doesn't strip it out.
They don't like it when management uses it for frivolous minor policy enforcement or they feel like it reduces their ability to use discretion.
But overall police officers who are given cameras tend to me more positive after using them.
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