You think somebody who wrote "nanoclaw" really doesn't care about getting industry famous and improving their career prospects?
427 karma · joined November 12, 2025
For perf reviews your title dictates the rubric you get evaluated against, but in fact your manager is probably trying to fit a curve and then work backwards to the rubric. So they'll decide you're a 3/4 and then pick some boxes for your weakest areas to mark you down in. The realpolitik of it is that you can do the same work or more at a lower level but get paid less, depending on what you negotiate coming in, your experience, previous roles, etc.
Once you get into VP, Director, and C level they are comparable between orgs on their own kind of ladder. There's levels of responsibility for outcomes associated with being higher in the food chain. Not to say there also isn't a political aspect, but they are broadly comparable between bigger orgs.
- the e-commerce integration (Weebly?) is very limited and the resulting sites are dog slow
- the POS itself and the backend don't work when you have hundreds of SKUs and many variants
- there's very little customization or support
My business wasn't huge but we were doing ~300k revenue annually online and in-store. We started on Square, tried Lightspeed (also garbage) and finally ended up on Shopify (best of a bad lot).
Despite making noise about "supporting small business" Shopify makes most of their money from e-commerce for giant brands. They've tried to juice returns from small customers with merchant cash advances but my sense is they make more doing professional services for big e-commerce brands
This is not to say it's a bad system, but it's very precisely tailored for their needs. If you look at the original Kafka implementation, for instance, it was also very simple and targeted. As you bolt on more use cases and features you lose the simplicity to try and become all things to all people.
Tesla has had it both ways for ages - their stock price was based on "self-driving cars" and their liability was based on "asterisk asterisk the car cannot drive itself".
I'm old enough to remember when Arafat was well-respected in the west and a two-state solution was the mainstream view amongst Americans. Once Netanyahu came to power in 1996 (30 years ago!) he worked to delegitimize the PLO and pursue an aggressive genocide against the Palestinians.
The tech industry hasn't ever been about "building" in a pure sense, and I think we look back at previous generations with an excess of nostalgia. Many superior technologies have lost out because they were less profitable or marketed poorly.
Because we live in the worst possible timeline the end result for AI companies does seem to be "too big to fail", where these massive investments will get foisted on working class people via a bailout or an IPO and index inclusion.
Once again LLM defenders fall back on "lots of AI" as a success metric. Is the AI useful? No, but we have a lot of it! This is like companies forcing LLM coding adoption by tracking token use.
> But it's also true that we are well into uncharted territory with bleeding edge automations that we barely even understand individually, let alone a network there of reaching in numbers possibly into ~millions
"If number go up, emergent behaviour?" is not a compelling excuse to me. Karpathy is absolutely high on his own supply trying to hype this bubble.
This feels like it's aimed at leftist activism, but the American right has plenty of thought-terminating dogmas: the unitary executive, backing the police and military unequivocally, "if you don't like it here you can leave", the "original intent" of the founders. "Patriotism", the Constitution, and the American conception of Protestant Christianity are cudgels to be employed against wrong-think.
Until we stop chasing endless growth for it's own sake we're doomed to be stuck these enshittified products.
> by regressing to a past that never was despite the costs
People assume that rejecting capitalism requires us to take a step backwards. Why would that be? If you woke up tomorrow and there was more public housing your iPhone wouldn't disappear.
Many of my coworkers have embraced AI coding and the quality of our product has suffered for it. They deliver bad, hard-to-support software that technically checks some boxes and then rush on to produce more slop. It feels like a regression to the days of measuring LOC as a proxy for productivity.
The Rayban-Meta partnership is such a funny thing to shoehorn in? Two giant monopolists creating a new surveillance-tech product which nobody likes. It couldn't be more "monoculture".
This is how we get food that has fewer nutrients but ships better, free next-day delivery of plastic trash from across the world that doesn't work, schools that exist to extract money rather than teach, social media that exists primarily to shove ads in your face and trick you into spending more time on it.
In the next 4 years we will see the end of the American experiment, as shareholder capitalism completely consumes itself and produces an economy that can only extort and exploit but not make anything of value.
I work with an infrastructure team that are old school sysadmins, not really into coding. They are now prodigiously churning out apps that "work" for a given task. It is producing a ton of technical debt and slowing down new feature development, but this team doesn't really get it because they don't know enough software engineering to understand.
Likewise the recent example of an LLM "coding a browser" where the result didn't compile and wasn't useful. If you took it at face value you'd think "wow that's a hard task I couldn't do, and an LLM did it alone". In fact they spent a ton of effort on manually herding the LLM only for it to produce something pretty useless.
It seems like the collective washing and grading system was effective at producing high quality coffee (but not paying farmers a living wage) until the system got so extractive and climate change got so bad that farmers cut costs and started producing worse strains. In other markets buyers would go direct to the farmers for single-origin beans to encourage higher quality but in Kenya this was prohibited.
Cost is usually not a huge problem beyond seed stage. Series A-B the biggest problem is growing the customer base so the fixed infra costs become a rounding error. We've built the product and we're usually focused on customer enablement and technical wins - proving that the product works 100% of the time to large enterprises so we can close deals. We can't afford weird flakiness in the middle of a POC.
Another factor I rarely see discussed is bus factor. I've been in the industry for over a decade, and I like to be able to go on vacation. It's nice to hand off the pager sometimes. Using established technologies makes it possible to delegate responsibility to the rest of the team, instead of me owning a little rats nest fiefdom of my own design.
The fact is that if 5k/month infra cost for a core part of the service sinks your VC backed startup, you've got bigger problems. Investors gave you a big pile of money to go and get customers _now_. An extra month of runway isn't going to save you.
There are a lot of smart and skilled people involved in making a cutting edge chip fab. It's not one ubermensch in a basement inventing a new TSMC process by thinking really hard. There's technicians, scientists, researchers in multiple disciplines. All of those people have to be organized.
I don't know where you think the "smart" people are, but maybe meditate on the fact that "smartness" is not a single variable that dictates a person's value or success. Someone who is an expert at researching extreme UV patterning isn't going to necessarily run a great chip manufacturer.