I just used it, went through the whole installation (took like 1 hour approx). Long but straightforward. If I put my computer to sleep will it continue?
I started the server (very curiously I was running oLlama in the same prot slotserve uses by default, instead of switching it which I know you can do, I just ditched oLlama, perhaps an insight for you) and built a small html hello world served via Python. The thing pointed me to the localhost link, nice!
As an early user, my advice is to focus on efficiency. The efficiency of the installation but more importantly, the efficiency of running the thing. 8.1GB per slotserve process is a lot! Is that in your control?
Also, I've seen an interest of certain kinds of programmers for open-weight models. "We all know agree that LLMs for coding are very useful but we're giving money to a small set of big, evil corporations. They're Trump donors. I heard it's bad for the environment because it uses water". If it's local and open-weight, this could be marketed this way I think.
Finally, what's the actual, real use case for slotserve?
Lived it from my 20th floor apartment in Medellin. It was scary af, my wife started crying, but friends and family are OK.
Interesting tech fact: A friend of mine who lives in SF couldn't communicate with his parents who were in the countryside near Pereira (one of the 2 or 3 most devastated cities) because comms were pretty bad, but luckily they had Starlink to be able communicate.
Technologies & Skills: Software Engineering, React, Node, TypeScript, AI Engineering, System Design, AWS, Leadership.
I'm looking for a full-stack engineering role. I can be either be a pure IC or a tech lead. The main thing that I'm optimizing for is for solving the problems that I want to solve.
9+ years of experience in the industry, the past 4 in tech lead roles. I have mostly worked for US SaaS companies, and have also been a founder in the past (backed by Techstars).
Ok I actually like the idea of flatter orgs and player-coaches a lot.
However, do we really need them to AI-wash the fact that as a lot of companies, this company over-hired during ZIRP? Do we really need them to AI-wash the fact that the crypto hype is gone, therefore their business is smaller? “Company as intelligence” and “AI productivity” are just buzzwords so their stock price doesn’t suffer.
I was a IC/manager for a few months. Spending all day in meetings (there are actual things you have to do to manage 15+ people) and then going home and coding for 2-3 hours every night burned me the hell out and I left that company, good riddance to bad rubbish.
Companies above a certain scale- let's use Dunbar's Number as a good threshold- need full time managers to handle the necessary information flow through the company. Middle-manager is actually something that AI can't do yet, because their main job is to figure out what things everyone else around them needs to know (inside and outside their team), which requires a theory of mind that current LLM's just don't have. Is this policy change worth telling your team about? Is this feature creep worth telling other teams about? That is the decision that managers have to make dozens of times a day, and it requires a model of what various people know, to know whether this is important to them or not.
Staying pretty much the same, at least with the current state of technology (just way more bottlenecked by this, but with the same process). What have you seen?
Could be the case! Without being to strict on the terminology I just wanted to give a clear message: Our planning processes and time range expectations are changing completely
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