Such a drab, dystopian, ultra-capitalist, and essentially dishonest description of the homemaker role.
979 karma · joined February 3, 2021
Such a drab, dystopian, ultra-capitalist, and essentially dishonest description of the homemaker role.
But why do the students of architecture prefer brutalism? I don't believe they factor the financials in when they choose which picture they like better.
These are not guaranteed to happen. But if you don't have a plan, you will be derailed very soon and practically inevitably.
Where you would have a point is if you'd say we have excellent tooling for wrangling code, but less tooling and tradition to write and manage specs.
You can say "yes and you have to fear the humans weilding the AI" - that I agree with.
In real life there ARE differences between groups, and models are trained on real life data, so I do not find surprising that models anticipate differences in this synthetic situation as well, and fail to see the significance of this result.
Notably, there is no requirement or recommendation that the dev environment be a single, shared environment. Development processes where this environment is single is shared is as terrible as it is ubiqitous.
First off, it is too simplistic to try and categorize a political regime as "ok" or "not ok". A political regime, the problematics of a large country, and and a huge voting base of people like the US population, are an extremely complex phenomenon. One will not reach useful insights by labeling a regime as "not OK" and its voters as unintelligent or evil (I am not saying you are doing so, but lots of people do).
Talking about reasonable people: for reasonable people, the Trump regime, and any regime for that matter, is a mixed bag of things to like and dislike, to weigh and trade off. For sure, for each reasonable person the scales will tip in different directions. But for a reasonable voter this not a sports game where one roots for their team just because it's their team.
For many reasonable voters Trump is not "ok" or maybe even "good", but he still responds to some of their pressing priorities and concerns enough that he merits voting for. I personally voted for politicians in my country that I disliked deeply, but I'd done the calculus and concluded that the alternatives are worse. Similarly, you shouldn't conclude that the electorate of Trump predominantly loves him. You hear mostly from the loud MAGA crowd, but they do not decide.
What are the concerns and priorities that may force a reasonable person to hold their nose and vote for someone like Trump? I wouldn't like to engage in a political debate here, so I will keep things meta. But as an outsider I can see political and social trends of the last decade that are quite prominent, rather sudden, pretty radical from my vantage point, and concerning to conceivably reasonable voters enough to tip the scale, even if you or I may not really align with them specifically.
This doesn't sound right. If that were literally true, and the level of industriousness didn't affect prosperity at all, why would anyone bother to work?
You shouldn't try to assess what people care about from what you see in the media, including social media. Focused thought and gigantic resources go into shaping the public perception of reality through media.
Pay every Nth month, or M months per year :-) Use the free tier features throughout.
> My finance makes fun of me
Your financial situation is very interesting!
From my experience it has been largely solved for one significant use case which is chatting to frontier models about the reality as described by public knowledge. 2 years ago models would rely on their training data, today they go out of their way trying to look it up on the Internet and verify thoroughly. I have not had a problem for a very long time.
When working off of limited, private/unverifiable context, LLMs still hallucinate, but again, much less than 2 years ago, and more within a "getting confused where a human would easily get confused" range, rather than "outrageously making things up" range.
What are some viable architectures for such an agent that are token-efficient, effective and convenient?