Every generation is determined to learn from past generations in the hardest way possible: By repeating the mistakes that were so obviously made by every previous generation.
Every generation has done this, including mine, but not with a 45B valuation. It's utterly insane, how much people willingly threw at a successful gambler.
Yeah, it's going to be hard to establish a plausible positive ROI for interstellar travel. I think even public funding for probes will be problematic, since it will take years just to get flyby photos. Probably the first flyby will be funded by some rich guy.
If the Feds want to protect children from sex, why don't thy start by telling the DoJ to prosecute the Epstein bros instead of protecting them?
At this point, I've stopped giving politicians the benefit of the doubt.
Born yesterday, I presume?
We should pass around a hat for all those rich people who didn't richer as fast as they expected to.
I'm a cognitive zenith graybeard who felt alive JUST THIS MORNING, you insensitive clod!
Then what happened?
It's fucking alien bees!
And their honeycomb really attracts the Martian bears!
What am I trying to sell you? Access to frontier models, that I have no control over, that I don't work for but work with?
The great thing about AI assisted architecture is, that you can start at a very coarse level and refine from there. If a lower level design stage discovers a flaw in my thinking, I can go back up. The biggest difference between AI assistants and a design team is, that the former will never go "please not this dummy again", if you show up with yet another "additional feature I need" or "how about we look at it this way and change the structure a seventh time?". You won't do this on purpose, but these things do pop up in a design phase (ideally there). AI assistants also have a much larger context window than my rotten brain, so they will reliably detect conflicts between header files and some far removed design spec of yours.
You can bounce a project for months (while doing other stuff) before you are happy with your design and can proceed to finer grained design steps or even code generation. It's almost a perfect match for submarine projects (which nobody would ever shill for, since "nobody has ever engaged in such a project").
UML was an attempt to do the same thing with people, but it's very hard to get a group of humans to do, what you can easily do with a few AI agents. As a result I have never seen a software project draw any real benefit from all these UML charts large companies just love to churn out.
STUXNET attack was aimed at a nuclear "research" facility, not at a municipal water supply.
If your pseudo code, sorry, I mean fine detail "architecture", is that comprehe dive you might just as well write actual code and let it fix that. IMO however AI code often doesnt even compile, has logical errors and is bloated. However YMMV.
Wrong approach. If you write code immediately, you will eventually get stuck in a rut, because an architectural concept shot from the hip typically doesn't hold water. I don't talk about javascript slop here barely holding a shitty web page together, I mean software that people actually depend on, and which you will have to maintain for years with updates and additions as the project scope moves and expands.
Once you sit down and actually design something, AI will help you by looking deeply into the system you try to build, trying to find use cases and edge cases. That's when you start refining your architecture. That's when software modules come and go, components split up and parts fuse with other parts. On each step a capable AI model will guide you through the process, highlight omissions, corner cases, inaccuracies and contradictions. Any code written at this point would be a complete waste of tokens. The refined product is so much better, that you will just shake your head looking at your initial concept. It's like a whole very capable team designed this product, when you actually did it all by yourself and just threw it at 3 or 4 different agents multiple times. That's an amazing asset for submarine projects BTW!
Second massive boost from AI is, that AI happily and quickly does all the boring stuff: advanced command line parsing, proper XML parsing, help texts. Your software suddenly does stuff, which it should and could have done years ago, but you never actually got around to do it.
I honestly believe, that we are going to see lots and lots of really bad AI slop software (or are already seeing it), but there is a strong potential to write really good software with a lot less effort than ever before.
Wellll... I *am* of the opinion that electric guitars killed my enjoyment of music, but I'm not sure that has anything to do with the charts.
It's not clear that "48.3% who wanted a black woman". It's quite plausible that a reasonable fraction of those just didn't want Trump.
I don't think a woman can be elected. This isn't a statement that one shouldn't be, it's and estimation of the voters.
I'm sure, that Microsoft's hand crafted "security fixes" would have never done such a thing
Never worry about theory as long as the machinery does what it's supposed to do. -- R. A. Heinlein
