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What runtimes are supported? I don't think I saw that part mentioned in the README

Absolutely https://github.com/ra0x3/systemg/tree/main/examples/orchestr...

Things are time bound by instruction creation - at some point you still need a human to dictate the instructions that the orchestrated agents use. From there I've found that -- (1) derive a goal from the instructions (2) break that goal into tasks (3) order those tasks into a DAG (5) spawn the agents to work via the DAG -- seems to be doing everything I want it to do.


Wash the spider rims on my car with soap and water, then dry them off completely such that no dirt or residue remains.

Working the same, the nature of the work has changed. Less time spent on the minutia of syntax and project scaffolding. More time spent on how the minutia compose into a larger system.


This is a great indication of where engineers will be spending more of their time: complexity composing.


systemg - "Systemd, for busy people".

https://sysg.dev

https://github.com/ra0x3/systemg

I'm personally tired of getting stuck in config/deployment hell every time I want to deploy a long-lived web service. Sure I eventually learned how to use systemd, but systemd has SO many things baked into that I simply don't need. systemg is a lightweight process supervisor that features everything you'd typically want when running/managing production web services in the wild.

Would love feedback.


I love that it's Rust based, but being busy is exactly why I like Systemd, it Just Works, as long as you don't need to customize the OS at all.


True, but I think the point I'm trying to make is that when it comes to deploying (what are more often than not) web services, getting to the point with systemd where it "just works" requires more pain than I'd like - especially with regard to production deployments (reading logs, checking service status, wondering why my env vars aren't being read, etc).

If at the time when I was cutting my teeth on systemd, I had access to something more lightweight and "do one thing well", I think I would've gotten a lot more sleep :)


I have rarely in my 11+ years of professionally writing software, met someone who could _really_ "write code", but couldn't build software. Anecdotal obviously. But I'd say the opposite tends to be the case IMO - those who tend to really know "the code", also tend to know how to effectively build software (relatively speaking).

It kinda makes sense - "knowing how to code" in modern tech largely means "knowing how to build software" - not write single modules in some language - because those single modules on their own are largely useless outside the context of "software".


If you want to migrate off Spotify but are worried you’ll lose your library, feel free to checkout my tool Libx (libx.stream). It’s a tool to export your entire Spotify library to a nice and neat CSV file


I like minimalistic websites, but I feel like that's too far. No information what so ever about anything at all, just a "Login with Spotify" button. What happens once you're logged in? No one knows.


I suppose there's a lesson in there that they could write an explanation of what happens when you log in on the page but you'd still have no actual knowledge of what happens. No explanation is honest.


This doesn't appear to work. It exports a csv with only headers.


Upvote because can someone explain to someone as dense as me, whether or not this is likely to make some likely AI bubble worse? Is this just how industry allocates capital?


Part of what's concerning here is that the deals are conditional. OpenAI must meet XYZ conditions before cash/stock/etc is transferred, and the conditions are pretty hard to meet.

The money between OpenAI, Nvidia, Oracle, AMD is not circulating. There is no cashflow, only future commitments that may (and quite likely will) collapse. Yet the stock market & media react as if it's a sure thing. Even in the criticisms of these deals, the hype is affirmed.

This is the same problem as Enron's accounting, minus the fraud. (No need for fraudulent accounting when people simply don't read the fine print.)


These deals certainly make the bubble look larger because people are double-counting revenue. They also seem to be triggering extreme investor FOMO.


> They also seem to be triggering extreme investor FOMO.

Bubble's only bad if you get out at the wrong time.


Only for you as an individual, from an economic and societal perspective a bursting bubble is never good!


It’s not the bursting that is bad. It’s the bubble that is bad. The bursting is unpleasant, but good.


Much like a boil.


The money is allocated by institutional investors. They buy the stock, the companies trade their more valuable stocks amongst themselves for various deals. If institutional investors stop investing then the flow of deals stops & the bubble pops. There is nowhere else the institutional investors could park their money other than tech so I don't think the bubble is going to pop any time soon. But infinite growth is obviously a logical & physical impossibility so eventually there will be a correction but whoever says they know exactly when that will happen is lying & they'd be better off buying lottery tickets to cash in on their ability to predict the future.


Personally think this makes a tech bubble a contagion for other parts of the financial industry - especially if institutional investors take the "easy" trade that everyone is doing and add leverage to it.

Now once these folks don't get 800B per year in revenue and the money runs out, all of the banks go as well. But don't worry - they'll get bailed out with our money...


>AI bubble worse?

Is it worse than the dot-com bubble? I remember everyone and their mom who knew HTML could get hired, and there were way more companies that went IPO during the dot-com bubble, like theglobe.com.

AI is a bubble, but is it worse than the dot-com bubble or the real estate bubble in 2008?


> Is it worse than the dot-com bubble? I remember everyone and their mom who knew HTML could get hired, and there were way more companies that went IPO during the dot-com bubble, like theglobe.com.

IDK, the number of companies and employees might be smaller, but the valuations and comp packages are so much bigger that I suspect there's more money in the bubble this time around, just a bit less spread out.


The dotcom bubble had investor capital going towards hiring tens of thousands of people. The AI bubble has capital going towards buying hardware, signing a handful of researchers on 9-figure deals and settling lawsuits for IP theft.


Brandon. He was a traditionally trained SWE (CS) but didn't have crazy FAANG names on his resume. Very humble, soft spoken guy. Could write code twice as fast as you, that was 2x easier to understand/grok, and would run 5x more effecciently than yours. Knew the stack all the way from the web layer to the CPU cache level. To this day I think about how he was thee definition of a "10x engineer".


Excellent, professional, and very valuable response :)


I have been in almost exactly same situation with a big tech. It's true that your fate has already been decided and no point fighting an org that doesn't want you, read memo and accept and leave.

And do not waste time to show improvement on PIP, no one's expecting, rather use the time to secure the next job. If it's difficult to find the next job, just do the minimal to share something on the 1on1s.

Be nice to everyone, it's not personal, rather they will appreciate you if you handle this in matured fashion.

You will do well.


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