This is like your typical 2-story US house "eating" a baseball. Completely trivial occurrence, cosmologically speaking, unless you're specifically looking for it.
On the other hand, I find it kind of concerning that it's so much better to have serious discussions (eg scientific or emotionally charged) with a bot than with any human at all, online or in real life.
> If you're using randomized testing as "extra credit", to catch a few more bugs, or to replace traditional software testing processes, you can just tell an LLM to look for risky areas of the code and find invariants that might be violated and fuzz them. This works ok. When I've convinced people to try some randomized testing, they usually start here and find quite a few bugs they're happy to have found. Due to the nature of who's interested in trying out novel-to-them test techniques, this is often from people who've worked on some of the most well-tested and reliable code at the company and they can find bugs in their own relatively well-tested code.
Counterpoint: I just tried a few rounds of LLM-generated fuzzing on my current side project and couldn't find a single bug. Maybe try coding more defensively?
America is like a trust fund baby given all the advantages and then the baby goes "fuck it, life is too hard, I am just going to do coke and die early”.
America is like a trust fund baby given all the advantages and then the baby goes "fuck it, life is too hard, I am just going to do coke and die early”.
Hmm, it might be better to just go straight to what leading countries currently do (Finland/Estonia/Japan/Singapore/etc). Other factors probably play a bigger role, like school funding, school autonomy, teacher professionalism (high education level + continuing education + good pay), free school meals/healthcare/transportation etc
Yes it was, by constantly rejecting the only cures: redistribution and unionization as socialism. Unregulated capitalism always trends towards concentration of wealth/power.
Another thing I’ve noticed is Americans are extremely non-self-aware about this topic. Go ask your favorite frontier LLM to tell you about notable moments in American history when they rejected socialism, explicitly or otherwise. Overall in history, and over just the last 30 years specifically. Institutions, and the electorate itself.
It’s not like Americans were invaded and forced to accept this. They repeatedly voted for it. Obama tried to work on healthcare, then had the largest electoral losses since Eisenhower, all up and down the ballot. Instead they voted for the real-estate billionaire. Trump has zero healthcare during a major pandemic - crickets. This country doesn’t want anything labeled “socialism”, and will hurt itself repeatedly to prove it. Last time it took a Great Depression to change their minds.
Ok that probably explains it. We're just talking past each other. You're doing really good work, and Seattle is one of the top transit cities in the US, but those three cities I mentioned before are in a whole different league as global outliers. Best practices in an American historical/political context are completely different than best practices overall. You can find lots of examples historically and today (eg in developing countries) where density outpaces good transit and the result is gridlock/pollution/etc. Seattle is just not that dense (yet).
The problem is not AI. It's an excellent technology. The problem is there's an underlying power grab (e.g. layoffs). When humans do that to each other they inherently dehumanize/invalidate/insult each other. Implement strong labor protections or basic income and a lot of this dog-eat-dog toxicity goes away.
Try this: go to your favorite frontier LLM (I like Gemini pro - free in aistudio), paste this entire exchange we're having, and ask it to carefully analyze it and assess who seems more correct. It's a long story.
Try discussing this issue with a LLM. I'm getting some pretty good responses from Gemini pro. Just as a first pass. It can help you avoid major errors.
But then you'll run into traffic/parking issues unless you have a good public transit and land use policy (e.g. bikes, trams, mixed use development, etc). That requires such good design skills few cities have mastered it (Tokyo, Copenhagen, Singapore).