I work with some 'legends of programming' and they're all excited about it. I am too, though I am not a legend. It really is changing the game as a valid new technology, and it's not just a 'slot machine'. Anthropic is burning their goodwill though with their lack of QA or intentional silent degradation.
I'm not inclined to be a guinea pig for these. I suspect maybe later in my child's life they will have been proven long-term safe (or not). I'll be old or dead at that point. I'm really wary of putting anything not known to be standard food or medicine into my body.
Hiring is incredibly complicated when done well. If 'limited fuzzy Boolean windows' over 'complex interpersonal dynamics' is vibes, then we will need to accept vibes.
They should have had an open convention. I said this on reddit before the elections and was heavily downvoted for whatever reason. People don't want to face reality. Trump's election this time around was much easier to explain and both parties have now lost the trust of the people.
We get around this a bit when using it to write code since we have unit tests and can verify that it's making correct changes and adhering to an architecture. It has truly become much more capable in the last year. This technology is so flexible that it can be used in ways no eval will ever touch and still perform well. You can't just rely on what the labs say about it, you have to USE it.
I haven't run a business in a while but when I did I found I was actually more comfortable because the interactions are typically more scriptable and the dynamics are clearer than when you're dealing with peer employees. When you're dealing with customers, you're interfacing on behalf of the business and can adopt a 'business' persona while speaking about things you are expert in. Often you deal with people in bursts and don't need to interact with any given individual too often; with peers it's a lot more vague and confusing, and you're with them basically all the time for years so it's much more exhausting.
Give AI its own virtual world to live in where the problems it solves are encodings of the higher order problems we present and you shouldn't have to worry about this stuff.
Are the built in graph algorithms useful these days? I tried neo4j a few years back and didnt find anything similar to eg networkx, which is the level of graph/network algorithms I use regularly. Neo4j made life much harder for me at the time, and I had to migrate that project back to postgres.
I stopped assuming I knew everything, and a childlike sense of wonder returned to my life. I began looking beyond what was directly in front of me and sought out more comprehensive generalizations. What do atoms have in common with humans? What does it mean to communicate? Do we communicate with ecosystems? Do individuals communicate with society? What is consciousness and intelligence? Is my mind a collection of multiple conscious processes? How do the disparate pieces of my brain integrate into one conscious entity, how do they shape my subjective reality?
I found information, individuals, and networks to be fundamental to my understanding of the world. I was always interested in them before, but not enough to seek them out or apply them through creative works. I discovered for myself the language of systems. I found a deep appreciation of mathematics and a growth path to set my life on.
I was able to do this exploration at a time when my work was slow and steady. It came along a couple years ago when I was 25, which I've heard is when the brain's development levels off. I feel lucky to have experienced it when I did because I was totally unsatisfied with my life before then.
Since then I've found work I love at a seed stage startup where I've been able to apply my ideas in various ways. I have become much more active as a creator, including exploring latent artistic sensibilities through writing poetry and taking oil painting classes with a very talented teacher. I've found myself becoming an artist in my work - I've become the director and lead engineer at the startup and am exploring ways to determine and distribute truth in the products we sell, and further to make a statement on what art is in a capitalistic society (even if I'm the only one who will ever recognize it). I've also become more empathic and found a wonderful woman and two pups to share my life with, despite previously being extremely solitary. Between work and family I have less time for introspection now, but I expect I'll learn just as much through these efforts.
Ultimatey, I've learned to trust my subconscious. I was always anxious and nervous about being wrong in any situation before, but now I trust that even if I am wrong in the moment my brain can figure out good answers over longer stretches of time.
I don't know how far cannabis led me down this path but it definitely gave me a good strong push.
Would you consider the actor programming paradigm to be a good scalable model? It largely matches what I observe in both nature and where we seem to be headed with software engineering (containers in the cloud, near-trivial redundancy, stability, and scalability when properly designed). When I consider society I see a complex network of distributed actors, and when I consider my mind/brain I see the same. At this point in my philosophical development I am definitely resonating with the actor model, but I'm sure you are more familiar with this paradigm than I am - if not actors, where would you recommend searching?
Marijuana helped me realize there was a lot about myself I didn't understand and launched my investigation into more effective thought processes. I've become much more driven and thoughtful since I began smoking as an adult.