- 7 points
- 2 points
- 6 points
- With all these long blog/news posts, been asking for a TLDR via AI. It does a good breakdown on thoughts vs actions. Then if it sounds interesting, then go back. Fabric app (oh github) works well ollama or lm-studio (and llm of choice)
It also works well with long YT videos using the closed captions, no time to listen to a 2 hour podcast.
TLDR:
* Trump and Elon Musk are reportedly using FCC Commissioner Brendan Carr to target speech they disagree with, posing a significant threat to First Amendment rights.
* Carr has been described as a tool in Trump's strategy to control free speech, with actions including investigations into major broadcasters like ABC, CBS, and NBC for their coverage or internal policies.
* The Verge's Nilay Patel criticizes this as an unprecedented attack on free speech, highlighting how the FCC, under Carr, might punish media for their editorial decisions, which contradicts traditional First Amendment protections.
* The narrative suggests that this administration's actions could fundamentally challenge the freedom of the press and speech in the U.S., using government authority in ways not seen before.
- 2 points
- Again, asking a LLM to parse data isn't real life, thats not how life works.
And again, mentioning outsource/combine departs doesnt mean layoffs, and was not the objective of the query. If I ask it to give me the stats on gas crossovers with good mpg, I don't want a political lecture on why EV's are better for the environment.
LLM's shouldn't interject its own viewpoints when asked a question on data.
- From a legal viewpoint, selfcheck mistakes make you a criminal, and the stores make money for going after you for a settlement. Its already happening for customer mistakes to be prosecuted and settlements (walmart is the biggest culprit).
I'm buying groceries not getting into a possible legal issue, I'll avoid self checkout on a cart, maybe on 1 or 2 items self checkout is ok'ish.
Plus I feel using self checkout puts people out of jobs.
- The political training in chatgpt has gotten in the way of asking funding and policy questions for basic questions.
I gave it a budget and asked it to give me the programs/departments/etc that have little return of value, overruns, possible fraud, spot problems, etc. so I could outsource or combine departments and save money.
It went on a long lecture that cutting funding was a horrible thing, and I'm horrible for asking, and refused to answer.
Really?
I'm asking basic auditing/restructure/spending, and it was trained to ignore my request and lecture against providing help, and refusal to give results.
smh, this isnt helpful.
- 2 points
- 3 points
- I've seen code that works well for a piece of middleware, but when the stack is complete, testing the entire stack is always done with perfect data.
An entire stack failing due to a piece of the stack for so many reasons is so common.
Testing is a skillset that many don't have without experience.
- It ain't just twitter that has armchair experts that are rude. Most social media sites allow this behavior. So many replies with horrible posts "your doing it wrong", "read the docs", etc.
I've seen so many correct responses downvoted and with horrible replies. Anyone who used old moderated email lists will see how culture changed and the decline of actual conversation. Even stack overflow has went downhill.
- 2 points
- 5 points
- We had like, tech layoffs, 264,220 in 2023 to 150,034 in 2024.
I know a few tech people who are still unemployed after numerous layoffs.
And, I also know of entire departments that are all H1B at multiple fortune 500 companies, so don't tell me they couldn't find 1 US citizen.
So to me, it seems like we have some H1B fraud going on.
Running a VM will probably give you better life.