Or the idea that democracy can't adapt to social media discourse; not everyone is chronically online. Politicians still respond to public sentiment to similar degree as they always have.
Then there's this:
> AI systems aren't just tools—they're deployed faster than we can develop frameworks for understanding their social implications.
If they aren't just tools, what are they? Why do we need a framework for understanding their social implications?
Post feels like a fever dream of someone who fell asleep to the Navalmanack audiobook.
Deno and Bun seem to be two highly competitive runtimes, each VC backed and positioned against each other, but the fairly tale of multiple winners seems unlikely in a world that favors power laws.
So then, how do others see these ecosystems surviving over the next decade? What are the canaries? And, how interoperable will our code be?
If you do want to leverage runtime-specific code you can isolate that code in separate modules, so if you ever do need to migrate off a particular runtime it's easier to identify/replace that code.
Ultimately it's all JavaScript, and since most of these runtimes are open source even if they're abandoned we might see community forks. Though even if your chosen runtime is completely without support, I don't see a migration off being an extremely urgent or difficult task for most projects.
There is some irony in that Ryan isn’t acknowledging Node.js own trademark in his post, given that he was the person who announced the Node.js trademark.
https://nodejs.org/en/blog/uncategorized/trademark
So he wants Node.js trademark to be acknowledged, but doesn’t acknowledge it himself.
Oracle wants the JavaScript trademark acknowledged, and he doesn’t want to acknowledge that either.
This all seems very silly to me.
- Democrats have a more positive view of how colleges impact the country
- Democrats have higher confidence that professors act in the public interest
- Republicans are more likely to view higher education as moving in the wrong direction
- Democrats are relatively unconcerned about professors bringing political/social views into the classroom, compared to republicans who are very concerned
Source: https://www.pewresearch.org/social-trends/2019/08/19/the-gro...
> If "left" and "right" have any meaning at all, "right" describes a worldview under which civilized society depends upon legitimate hierarchy, and a key object of politics is properly defining and protecting that hierarchy.
Hierarchy is a natural consequence of variation in skills, experience, and work ethic. Meanwhile, the author's definition provided for "left" is so squiggly as to be nearly meaningless. It almost sounds like the mythical, non-totalitarian brand of communism that just hasn't quite worked yet:
> "Left", on the other hand, is animated by antipathy to hierarchy, by an egalitarianism of dignity. While left-wing movements recognize that effective institutions must place people in different roles — sometimes hierarchical, sometimes associated with unequal rewards — these are contingent, often problematic, overlays upon a foundational assertion that every human being has equal dignity and equal claim to the fundamental goods of human life.
In other words, "left" has hierarchy, but only begrudgingly, and other than that we're very virtuous.
It's truly difficult to get past this opening argument. If you're going to make a shocking claim (higher ed is right wing), you can't start with such a shaky foundation. What would a non-hierarchical University system even look like? Harvard being more prestigious than my local community college does not make higher education right wing.
> After Airbnb showed off their redesign, the internet exploded with soft, dimensional, highly detailed icon sets prompted into existence using generative AI tools.
One company's redesign + random proofs of concept does not indicate a real trend, and the idea that LLMs make designing with dimensionality in mind more accessible is dubious.
Good design requires consistency. High dimensionality makes consistency harder to achieve. LLMs perform better when there are fewer design nuances to consider. Additionally, we can expect LLMs to reinforce existing trends, as they're all trained on what exists today.
> and minimizing sycophancy
Now we're talking about a good feature! Actually one of my biggest annoyances with Cursor (that mostly uses Sonnet).
"You're absolutely right!"
I mean not really Cursor, but ok. I'll be super excited if we can get rid of these sycophancy tokens.