I have been building a system, it’s hitting 2m lines of code soon (backend + frontend).

Currently, I have landed in a flow where I maintain a roadmap of releases. Each release is a featureset that I can test, verify, and demo. Most releases are planned through a PRD document which contains user stories, other constraints, and implementation phases. Then, I create as many ADRs and TDs as necessary.

Tbh, all these are for me to keep track of what I am building. I am having agents write the bulk of these documents by rumbling to a microphone for a good deal of time and then reviewing ruthlessly. You have much more control over small and steady increments.

When I feel adequetly prepared, I start coding, most of the time I will lay the foundation and then have agents fill in the implementations.

I don’t really worry about future proofing my architecture. It’s not like I have a massive database that will take multiple days to create an index, most of the changes are cheap.

Nothing of the above is new, they are well established tools mostly used by larger organizations, the only thing that changes with AI is the scale in which you can use them.

The above apply only fo projects I am serious with (2 projects atm), the rest I just ask AI to build what I need and send it the bugs until it works as expected.

Can’t wait for the OpenAI orientation: “Here is a rack. Here is another rack. Here is your bed (rack-adjacent). There is no difference between day and night. Please do not befriend the AI.

Has anyone tried to self host this? Of course, hosting 300tb isn’t practical, so any solution would need to download the metadata and songs on demand.

Build open source software for public infrastructure

Also, if the organisation shares their fediverse profile on their official website, you can consider them verified

Wondering if a volunteer could go to the physical location necessary to restore service. If it’s in Athens Greece, I can make the trip.

Edit: The server is located in Azores, the flight would cost 415eur, I cannot afford that, maybe someone in Portugal could help?

Hey, I was fired last July and I went through the same process, I actually asked a similar question on Lemmy and the feedback I received helped a tonne in landing more interviews.

Here are the steps I believe helped me:

1. Make sure your CV is machine parseable, search for open resume, upload your cv see what it detects. Ideally, generate your CV using that tool.
2. Create your own portfolio website, here is mine for reference https://souperk.gr/ (I have a public repository, feel free to copy if CSS isn’t your strong suite)
3. Check that toggle on LinkedIn to signify you are actively searching atm (don’t remember how, but you should see a ribbon on your avater if it’s active)

For me, landing more interviews was the hard part. Once I got a few interviews going, landing an offer was easy.

So you are basically building a classifier that tries to assert if a user will like a video. While many are against any kind of “algorithm” within the fediverse, I believe that it’s a necessity. But, I think allowing users to tag content and then building classifiers that allow you to filter based on that would be a more aligned with the fediverse.

Anyway, cosine similarity has worked for a lot of things, so I think it’s a solid foundation to get you started. Another thing you can try is using an embedding model, specifically a model that receives a segment of a video and yields a matrix with the property that similar input will result in outputs relatively close to each other (cosine or euclidean distance).

Another thing to consider is building a platform that will permanently store data. If you can come up with a set of endpoints, I can implement something in python to get ypu started. I don’t have experience with video processing so I cannot help you with that, but the crud aspect is no biggie.

I ended up setting up a postal server on my vps (see here). Their docs are pretty easy to follow through and it’s probably the cheapest option (assuming you already use the and have a domain).

I hate to spoil your fun but IRs are made to be written by programs and read by programs.

Lemmy is a public forum, if you want to communicate privately exchange matrix handles and communicate there.

Are there any other, less biased, sources on the topic?

After skimming through the decision of the arbitration comitee, I feel there more than a few inconsistencies in the article.

A quick google search revealed only Isreal friendly sources covering the decision…

One thing to consider here is that photon as an spa does not offer great support search engines. Which can help drive organic traffic to lemmy. While, some may see it as a net benefit, from your point of view it’s an great disadvantage.

TheGuardian is pretty decent.

What an interesting read! The food analogy instantly made sense to me, I am wondering if other people had the same experience?

What is the point of all this, you may wonder? Well, reading Postman provided a big eureka moment for me - an understanding of why I struggle so much to convince my friends to abandon commercial social media in favor of the Fediverse. Drum roll: the Fediverse may be missing a clear, cohesive narrative.

Technically the Fediverse has everything one would need to enjoy independent social media, away from the surveillance capitalism that powers Big Tech. What has been difficult is finding a story, a simple narrative anyone could follow that would explain WHY the Fediverse is the most empowering, most ethical technological solution out there for social media.

I have come to see the Fediverse as the equivalent of organic, plant based, home-cooked meals and by contrast I see TikTok, Instagram, X, Threads, Snap and other platforms by Big Tech as the equivalent of Big Food – brands like Coca Cola, McDonalds, Nestlé, that promote ultra-processed, highly addictive foods and beverages, contributing to an epidemic of obesity, type 2 diabetes and other diet-related diseases.

Become a socialist and realize it’s not your fault, you are just trying to get through.

I know you are asking for something different, but since there are already a few good answers, allow me to instead to reject the premise and give you a different.

It’s not impossible to implement an AI solution within the context your provided. The problem is that it’s going to be expensive. However, you can offer to deliver something smaller, focus on the smallest but valuable contribution you can make. While cleaning up the data is still going to be a hell of task, if the scope is small enough it can be achievable. Then, you can communicate the difficulty to scale due to data issues which can help management undestand the importance of prioritizing data quality.

If you have a bunch of sales data, maybe you can focus on deriving purchase patterns and build a simple recommendations engine. If you want to focus on marketing, you could try lead classification. Ideas depend on the domain of the company you work for.

Is anyone interested in starting a book club? Right now I am reading “Implementing Domain-Driven Design” by Vaugn Vernon.

Hit me up!

I would give myself a solid 4.2/5 on python.

• I have in deepth knowledge of more than a few popular libraries including flask, django, marshmallow, typer, sqlalchemy, pandas, numpy, and many more.
• I have authored a few libraries.
• I have been keeping up with PEPs, and sometimes offered my feedback.
• I have knowledge of the internals of development tooling, including mypy, pylint, black, and a pycharm plugin I have created.

I wouldn’t give myself a 5/5 since I would consider that an attainable level of expertise, with maybe a few expections around the globe. IMO the fun part of being really good at something is that you understand there still is to learn ❤️