It's not binary.

People are absolutely willing to sacrifice some of their freedoms to save lives. That's why we have speed limits, seat-belt and helmet laws, automobile safety regulations, DWI laws, etc.

Comments URL: https://news.ycombinator.com/item?id=47680813

Points: 5

# Comments: 1

This only applies to jobs that require Japanese proficiency. The vast majority of engineering and specialist visa will not be affected.

It's not unreasonable that a person applying for a job that requires language proficiency be able to demonstrate said proficiency.

In the end I decided that the concrete benefits from giving Anthropic access to this kind of data outweigh the potential risks. Granted, they might be banking on me making this exact, naieve calculation, but still.

About 16 years ago I was going through some rough times, and I started a daily habit of writing down anything that happened that made me feel happy, connected, or worthwhile and noting why it did so.

Even after life improved, I enjoyed this practice so much that I made a Sunday ritual of looking back on the week and writing down all the little magic moments in my life.

I turn 60 in a few months, and have been wondering what I should be doing next.

I asked Claude to analyze over 16 years of these weekly notes and to highlight any common themes and patterns found in the things that have made me feel happy and fulfilled over the years and to illustrate those themes with specific examples.

The results are a bit too personal to share here. They weren’t surprising exactly, but reading them over was an emotional experience. In the end, it turned out that Claude’s analysis of what really made me fulfilled was better than my own.

Comments URL: https://news.ycombinator.com/item?id=47405826

Points: 7

# Comments: 2

The Nasdaq100 is more complicated. SpaceX's 5% would be counted as about 25% of their total market cap for indexing.

AI led to not only longer hours overall, but also a shift from development to bug fixing and a 19.6% increase in out-of-hour commits. So longer hours, less interesting tasks, and more weekend work.

https://www.scientificamerican.com/article/why-developers-us...

Lobbying ensures such proposals never gets far, but it seems like a common sense way of ensuring that these funds subsidize people rather than corporations.

It seems that LLMs always do the enjoyable work and leave us with the drudgery.

It was supposed to do the dishes while we create art and write poetry, but it turns it gets to create the art and poetry while we wash the dishes. AU gets to write the code while we have to review it and fix the bugs.

Comments URL: https://news.ycombinator.com/item?id=47239404

Points: 9

# Comments: 1

But the man keeps going! He's one of the hardest working people in show business. He clearly takes his craft very seriously, even if he defines it a bit differently from the rest of world.

The Wrath of Khan has no business being as great a movie as it is, and his version of Common People is fantastic.

I'm sure this collaboration will be .... something else.

== Edit I'm sure I am over-analyzing this - I do that with everything - but Common People is actually "perfect" Shatner.

When you start listening, you feel "OK, this is lame." After a bit it clicks and it becomes "Oh! I see what they are trying to do here." and by the end it becomes "Damn! This is awesome."

Shatner doesn't change throughout the performance, but everything just falls into place around him.

It claims that people using AI to create works that violate copyright is equivalent to individual artists painting pictures or people writing fan fiction. But that is not at all what is happening.

OpenAI and others are taking money from customers to generate copyrighted works. That's back-letter copyright infringement.

The states that it is unreasonable to go after all the individual customers. That's true, but that's not how copyright law has ever been enforced. If you have a company selling copyrighted works without permission, you go after that company not after their customers.

The reason they were produced from the 1930s to 50s was to be run in movie theaters before the main picture. Since they would run before different kinds of movies they had to entertain both kids and adults. Some of the humor in those cartoons clearly went way over the kinds heads.

It was only later that they were bundled as TV shows for children.

I'm not familiar with he term "Pacemaker Principle" and Google search was unhelpful. What does it mean in this context? What else does this general principle apply to?

I'm perfectly willing to believe that I am missing something here. But reading thought many of the supportive comments, it seems more likely that this is an LLM Rorschach test where we are given random connections and asked to do the mental work of inventing meaning in them.

I love reading. These are great books. I would be excited if this tool actually helps point out connections that have been overlooked. However, it does not seem to do so.

You have an interesting idea here, but looking over the LLM output, it's not clear what these "connections" actually mean, or if they mean anything at all.

Feeding a dataset into an LLM and getting it to output something is rather trivial. How is this particular output insightful or helpful? What specific connections gave you, the author, new insight into these works?

You correctly, and importantly point out that "LLMs are overused to summarise and underused to help us read deeper", but you published the LLM summary without explaining how the LLM helped you read deeper.

At least as much mental and societal damage is done by elderly falling for bigoted, scammy, manipulative nonsense online than by teenagers having their self-esteem lowered.

As recent holiday gatherings have shown us, the young handle social media far better then the elderly.

/s

Today, a CEO can turn in a few quarters of really solid earnings growth, they can earn enough to retire to a life a private jets. Back when CxO pay was lower, the only way to make that kind of bank was to claw your way into the top job and stay there for a decade or more.

The current situation strongly incentivizes short-term thinking.

With today's very high, option-heavy compensation a CEO making long-term investments in the company rather than cutting staff and doing stock buybacks is taking money out of his own pocket.

It's a perverse incentive.

That's the primary difference between science and engineering.

In science, understating how it works is critical, and doing something with that understanding is optional. In engineering getting the desired outcome is critical, and understanding why it works is optional.