bahmanm

cross-posted from: https://lemmy.ml/post/5193714

A few days DHH (from 37signals) wrote about how they moved off the cloud and how that has helped reduce their costs by a good measure.

Well, earlier today, he announced the first bit of tooling that they used as part of their cloud exit move: Kamal - which is already at version 1.0 and, according to DHH, stable.

I took a quick look at the documentation and it looks to me like an augmented and feature-rich Docker Compose which is, to no surprise, rather opinionated.

I think anyone who's had experience with the simplicity of Docker Swarm compared to K8s would appreciate Kamal's way. Hopefully it will turn out to be more reliable than Swarm though.

I found it quite a pragmatic approach to containerising an application suite with the aim of covering a good portion of a the use-cases and requriements of smaller teams.

PS: I may actually try it out in an ongoing personal project instead of Compose or K8s. If I do, I'll make sure to keep this post, well, posted.

To be fair, here's the complete paragraph which makes sense:

Vagrant public networks are less private than private networks, and the exact meaning actually varies from provider to provider, hence the ambiguous definition. The idea is that while private networks should never allow the general public access to your machine, public networks can.

Got a notification from LinkedIn saying "You're one of the few experts who have been invited to collaborate on ..." I got curious and opened up the link.

Apparently, now instead of professional writers being paid to pen down their, usually, cohesive & authentic views, LinkedIn is trying out the idea of generating content using an LLM and then asking for free editorial services from users in exchange for "badges" 🤯 🤦‍♂️

This is cheap IMO. Even for LinkedIn.

What's happened to the "content team" at LinkedIn!?

It's not the 1st time a language/tool will be lost to the annals of the job market, eg VB6 or FoxPro. Though previously all such cases used to happen gradually, giving most people enough time to adapt to the changes.

I wonder what's it going to be like this time now that the machine, w/ the help of humans of course, can accomplish an otherwise multi-month risky corporate project much faster? What happens to all those COBOL developer jobs?

Pray share your thoughts, esp if you're a COBOL professional and have more context around the implication of this announcement 🙏

You probably have already noticed that nowadays it's becoming fashionable online to share technical material via videos (eg YouTube.)

I somehow can understand the appeal of creating videos for sharing thoughts/news, esp b/c it takes way less time and focus compared to writing things (just hit the record button and go.)

But videos are
👎 not index-able (at least locally)
👎 not searchable
👎 not copy-paste friendly if at all
👎 impossible to skim through
👎 a major distraction from the train of thoughts

IMO, in most cases, the more effective and impactful medium of technical comms is the written form: a Mastodon toot, a blog post, a gist, a Pastebin entry or even a Facebook post!

What are your thoughts?

Investors are barely breaking even as the venture is hardly making any profits due to a shortage of chips, divided interests, and more.

... OpenAI has already seen a $540 million loss since debuting ChatGPT.

... OpenAI uses approximately 700,000 dollars to run the tool daily.

⚠️ First off, apologies as I didn't cross check. Take it w/ a grain of salt.

This piece of news, if true, somehow explains why OpenAI has been coming up w/ weird schemes for making $$$ like entering the content moderation space.

On a similar note, I wonder if this had been a key driver (behind the scenes) in the recent investment in open source AI initiatives (Haidra comes to my mind?) Perhaps some corporations who haven't got enough $$$ to fund their own dedicated research group are looking to benefit from an open source model?