As an AI language model, I for one think we should welcome our AI generated text overlords.

LLMs are pretty good at low risk fairly consistent edits that can easily be mechanically verified as correct. With the size of Google's codebase and the requirements that your one "pull request" be up to date and verifiable, this seems like a case where it could be a win, and reduce your workload and the amount of pain to do it. I spend a lot of time on the cases where it doesn't work, and I call those out vigorously, but this seems like one where LLMs would help. There are many more complex cases where this strategy would be disastrous though!

Like it or not, one of the points of corporations is to limit liability vs doing stuff personally.

Some people tie games to their identity or personal characteristics, so if they lose past some threshold they feel like they are losing themselves and/or can blame others for their perceived loss of face.

People are not objects. The Google employees I know of who are advocating for policy changes are acutely aware of the the opinion you described. Even if this opinion is how one organization âoedoesâ work, that doesnâ(TM)t imply it is how it should work. People are fully capable of being aware of the risks and potential benefits of using the power they have within an organization to advocate for policy changes, and then consciously choose to do so.

If you get caught stealing the cash when you arrest the bank robber youâ(TM)ve still committed your own felony and should go to jail. That said, where is the evidence on Biden? For Trump it is easy, read the transcript, not as a political refrain but as an actual task you sit down and do. I read the whole thing and the quid pro quo is right there. Cash withheld for an investigation into personal political goals, when the legal process is to have the proper executive department handle it. Transcript: http://cdn.cnn.com/cnn/2019/im...

An excellent point, but you're dramatically undercounting. Really, pretty much everybody falls in this category due to climate change. In this I include both you and myself. Every item you buy, pound of meat you eat, flight taken, gas tank filled is like we are the cats, and we are quickly choking ourselves.

If you have a good driving record you could just rent a truck twice a year for $30-$50. Higher utilization of a shared vehicle is more efficient both cost and energy wise.

No one mentioned what is probably one of the biggest reasons for bloat from the apps of the big tech firms over the last 10 years: Machine Learning Models using Deep Learning. If machine learning models are included with the app as opposed to the cloud it will add up. Even the most compressed of these models comes in at 10-30 MB. Add one for photos, one for search, one for voice, and one for some other as application specific model. At this point you're already pushing up to ~100MB right there and you haven't even started writing your program or including any images! This is done for several possible reasons such as quicker response time or so things keep working without an internet connection.

"IBM (IBM, +0.44%) says it has come up with software that can divvy those tasks among 64 servers running up to 256 processors total, and still reap huge benefits in speed." Everything in this description is stuff you could do with open source code like TensorFlow 6 months to a year ago. More details are needed to call this a "breakthrough". Have they published a paper?

How was that not an option?!?

...that led to the holocaust? The caption of their reference image could be used for either denial or recognition. Words matter. I'm not sure Facebook should be making those judgments so perhaps it could be right that they don't make prior decisions on there things.

This is the line for you? Sexual harassment is cool, stealing business plans who cares, following reporters in god mode ain't no thing, greyballing a-ok, but charging wealthy people more... *oh my, no way*!

What many people don't realize or account for is the overhead and risk incurred by tracking and securing large quantities of cash, which can be up to 6% of revenue and is ultimately tacked on to the cost of goods. Cash is very expensive and time consuming once all factors including labor management and counting are added up. Those fees to payment processors can actually save time and money, reduce accounting complexity, and minimizes the opportunities for either theft or people putting their hand in the till. That said, there are many valuable reasons for cash to exist.

Well except that the US thought they invented most of it though often they copied it from the British then over time improved and extended it.