For all the fear-mongering the media-zeitgeist tried to stir up about Mamdani's NYC mayoral campaign, I find his policies measured and fiscally responsible. A second mansion in NYC does seem excessive, and the tax could free up supply. The tax rate isn't outrageously high, if I'm wealthy enough, I'll just pay it, otherwise if I'm on the cusp, maybe it's better to sell and liquidate. Feels like a Keynesian policy at its finest.
what i miss most about 538: whether it’s elections or the play offs, nothing comes close to how clean and fun the data interaction felt. i would constantly refresh any time a game finished or when a started called a candidate. i wonder who the front end engineer was, and what they’re doing now. would love for them to be building more fun ways to be interacting with data.
It seems obvious to me. Just like drawing and sketching helps thinking about design, coding helps thinking about programming.
It's one of the reasons for the "one to throw away"-idea of writing shitty code first just to get it to work, and then remake it after you have thought through the problem by coding it.
I've been involved with Kite, and I think back on the "learnings". With the recent development of LLMs, I'm astounded how dated the conversation seem now.
I think of programming languages as an interface between humans and computers. If anything, the industry expanded because of this abstraction. Not everyone has to learn assembly to build cool shit.
To me AI is the next step in this abstraction where you don't need to learn programming languages to potentially build cool projects. The hard part of software engineering is scale anyways. My bet is that this will expand the industry in unprecedented ways. Will there be contraction of traditional programming jobs? Absolutely. The growth in tech jobs over the last 20 years weren't more assembly programmers. They were abstraction experts.
I'm sure the next wave will be even bigger, professional prompting will explode in size.
The C abstracting the assembly or the GC a abstracting away memory management work because they were possible to implement in a deterministic and reliable way (well, in the case of garbage collection, not all the time)
But I don't think that's a similar situation for LLMs, where the hallucinations or failure to debug their own issues are way too frequent to just "vibe code"
Have you ever had a beer before? Or are you friends with someone who has had a beer before? Beer doesn’t just fall out of the sky, so it must be made somewhere.
Do you care about climate change? If so, then you should care about liquids being shipped as short of a distance as possible.
Edit: Also, the brewery moved to the neighborhood approximately 100 years before you did. Why did you choose to move to the area if you didn’t want to be next to them when there was no indication that they would be leaving anytime soon?
From this blog post, I could already feel the bureaucratic nature of their org. My money's still on OpenAI. I think their motivation is more pure, their objectives more focused, and their org more simple. I usually think of product dominance in two vectors: first to market and benchmarks.
Google took over the world as something like the 11th search engine to hit the market, but some of their benchmarks were 10x better.
OpenAI has both going for them right now and I don't think that's going to change.
