https://gist.github.com/pschleger/c1c36fbde003bea5eee7ce4291...

And a prompt to review a site I built for GitHub Pages, which I'll try this week.

https://gist.github.com/pschleger/8d5fcea6b96d8504ac58bb2f8d...

> The New York Fed blog noted that the modest impact on jobs so far may not hold in the future. "Looking ahead, firms anticipate more significant layoffs and scaled-back hiring as they continue to integrate AI into their operations," New York Fed researchers wrote.

And therefore I always thought that the more you master a language the better you are able to reason.

And considering how much we let LLMs formulate text for us, how dumb will we get?

Are you able say something about this?

We’re a small software vendor company with fintech startup clients in production for several years, and we have launched Cyoda as a PaaS to make this technology accessible to a broader audience.

You can think of Cyoda as having event sourcing + workflow engine + horizontally scalable database in one integrated system. Processing is transactional, querying is distributed and resilient, and business logic stays modular inside processors (actions) and criteria (gates) as part of the workflow.

We’ve created an AI assistant that helps you build your backend service through a chat dialogue that generates a prototype. It will build you a complete, runnable app, provision your environment, and deploy it. You can then switch to your own tools to continue development.

This type of lightweight modular system, where the platform engineering is mostly taken care of, makes AI much more effective when building complex backend systems.

The PaaS is still very fresh, and there’s a lot still missing and buggy in places. I would greatly appreciate feedback on the system design and architecture, particularly whether you think this platform has potential or not. There’s a Free Tier subscription, so you can play with it right away.

alpha AI assistant: https://ai.cyoda.net website: https://cyoda.com docs: https://docs.cyoda.com github: https://github.com/Cyoda-platform

Comments URL: https://news.ycombinator.com/item?id=44925264

Points: 4

# Comments: 1

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I haven't really thought it through yet, whether that even makes sense.

We considered reaching out in May, but held back because we want to run on bare metal.

Any chance to get this provisioned on bare metal at Hetzner?

We have K8S running on bare metal there. It's a slog to get it all working, but for our use case, having a dedicated 10G LAN between nodes (and a bare metal Cassandra cluster in the same rack) makes a big difference in performance.

Also, from a cost perspective. We run AX41-NVMe dedicated servers that cost us about EUR 64 per server with a 10G LAN, all in the same rack. Getting the same horsepower using Cloud instances I guess would be a CCX43, which costs almost double.

It's a long time ago, but what I remember was being fascinated by the shapes of the galaxies emerging from a collision under this centre-of-mass approximation, and that it created shapes we see out there. It was as if the main effect were a central mass in each galaxy dominating the dynamics.

Once we wanted to simulate the dynamics of galaxies. I don'it think it was an SA article, but we did it the slow way by calculating the force on every star individually from each other star. It was excruciatingly slow and boring.

Then some time later, I don't recall where I picked that up, I updated the simulation to just model the force on each star coming from the galaxy's centre of mass.

I could simulate many more stars, have galaxies collide and see them spin off with their stars scattering around.

What struck me was that they looked like real galaxies we see out there.

I wasn't aware of the postulations made in the 60s/70s about there being supermassive black holes at the centre of galaxies, but to me, this simplified simulation was kind of like a smoking gun for that... from an 80286 IBM PC AT.

They use Cassandra and make cool series ever now and then, like Love Death Robots. :-)

We used to say (tongue in cheek) that after 250k, the MB diesel engine was broken in. I don't think MB makes them like they used to anymore.

About 2: Ah, yes. So if one vendor gains sufficient momentum, their advantage may accelerate, which will be very hard to catch up with.