"money-losingest" -> AI already brings in billions and many AI companies could become profitable in little time if they'd stop R&D and simply keep selling what they already have.
yes, it's risky and investment-heavy but it's not a bottomless pit with no path to break even. there are many other recent technologies - NFTs? data centers in space? - that would be a better fit for this label.
This "new math" might be a recombination of things that we already know - or an obvious pattern that emerges if you take a look at things from a far enough distance - or something that can be brute-forced into existence. All things LLMs are perfectly capable of.
In the end, creativity has always been a combination of chance and the application of known patterns in new contexts.
#1: You do not want randomness. You may believe you do until the Titanic crashes into your front yard and your significant vanishes into thin air. You want quite a lot of predictability, up to a degree where it might not even matter if things at the lowest level of existence are not perfectly deterministic.
#2: What's so bad about thinking about life as an exciting rollercoaster ride? The tracks are laid but the ride is still fun.
Don't disagree but being the social animals we are, images and videos will never not be important. Things will always feel better when I can connect it with a friendly face.
Anybody else experiencing severe decline in Claude output quality since the introduction of "skills"?
Like Claude not being able to generate simple markdown text anymore and instead almost jumping into writing a script to produce a file of type X or Y - and then usually failing at that?
Claude to the rescue: This is an interactive data story from The Pudding about research showing that talking to strangers makes us feel better, despite our expectations.
The piece follows conversations from a study of nearly 1,700 video calls between strangers with different backgrounds (age, race, politics, etc.). While people predicted they'd have negative experiences talking to strangers, the vast majority actually felt better by the end of their 30-minute conversations - regardless of how different they were from each other.The story argues that we've lost "bridging social capital" (connections with people unlike us) and explores how this contributes to declining social trust.
It ends with a personal reflection on helping a bleeding teenager on the subway, suggesting that despite our fears, most people will help strangers when needed - and that these connections are crucial for tackling big societal challenges.
It looks nice and I really want to engage with the page further but since my time is limited today and I'll have forgotten about this by tomorrow: What's the tl;dr?
yes, it's risky and investment-heavy but it's not a bottomless pit with no path to break even. there are many other recent technologies - NFTs? data centers in space? - that would be a better fit for this label.