aurbano

For sure!

I’m approaching it as a simulator core that provides a bunch of entities and primitives, that then couples with plugins providing simulation layers, all of which are optional or changeable

So should be trivial layer to adjust any part or provide simple/complex versions or whatever!

And thank you for the feedback! Did you publish your simulator anywhere?

That’s exactly what I’ve been doing, and so far so good!

Haha well, as much as I’d love making this by hand I don’t have the time - so this way I get to focus on gameplay and simulator mechanics!

What a coincidence! I had been thinking of trying to make my own version of a city builder game (like sim city or cities skylines) for years and finally started last week - using rust and Bevy for the simulator

I’m trying to make the most realistic city simulator I can, using published papers on economy models, welfare, immigration, social policies… to drive each aspect of the simulation - and then use it to drive the game

So far I’ve used a team of agents to build the firsg phases of the simulator, and it’s looking really promising!

It’s my first time making such a complex game, but I’m super excited to see where it goes :)

Not much to add, but as a very happy uPlot user here - just wanted to say thank you for such an amazing library!!

This is awesome!

Would it be possible to ditch Twilio and build it as a peer-to-peer system though? Or does that always require a coordination server?

My point was that instead of blaming ML - or optimisation tools really - for gaming objective functions and coming up with non-solutions that do maximise reward, AI could instead be used to measure the reward/fitness of the solution.

So to the OP's example "optimise a bike wheel", technically an AI should be able to understand whether a proposed wheel is good or not, in a similar way to a human.

Is AI the danger, or is our inability to simplify a problem down to an objective function the problem?

If anything, AI could help by "understanding" the real objective, so we don't have to code these simplified goals that ML models end up gaming no?

2kW is literally the output of my patio heater haha

This is awesome! It makes reading the articles a lot more engaging as I can directly see comments without the back and forth :)

I might start reading the actual submissions more often instead of just the comments

That's a great observation actually! They should've made the design do that automatically based on story ranking

I see a lot of comments wondering how AI could be useful as a software engineer so I'll give my take on it:

I envision it being able to fully replace a junior engineer, and in some use-cases senior engineers as well.

In the case of junior engineers: the AI should have access to an internal knowledge base (i.e. Confluence) and the task/ticketing system (Jira), and ideally the internal chat (Slack). I would assign tickets to it, and I'd expect the AI to reply with comments asking for clarification when there is something unclear, or proposing an implementation before starting if it's not a very simple task (this could even be defined in the task, using story points for instance.

Once cleared, the AI submits a PR linked to the task - so far just like any engineer in the team would. The PR gets reviewed as usual, with suggestions/requests for changes made by the (human) team, which then get addressed by the AI. With the big difference that all this process may happen in less than 1h from ticket creation to PR review.

I wouldn't expect it to be able to implement complex features, onboard new libraries, or rearchitect the system in major ways to accommodate future features - just like I wouldn't expect that from junior team members.

It would obviously be amazing if it could incorporate previous PR comments into it's "context" for future work, so it could learn and improve.

Separately I mentioned it could also do part of the job of senior team members - in the form of PR reviews. If it has access to every previous PR review and learns from them it might be able to give insightful suggestions, and for very large codebases it could have an advantage over humans as it could find patterns or existing code that may be overlooked (i.e. "It looks like this util function you added is the same as this one that was already there", or "This code looks different to similar areas, but follows a different pattern, you might want to rewrite it this way //..."

Is GPT-4 there? Definitely not, perhaps an LLM is not even the way to achieve this, but I absolutely see this becoming an incredible asset to a tech team.

Best thing you could do, spend some time learning how it works properly (query keys, invalidations... ) and how you'd set up things like pagination.

If at any point anyone goes like "oh it doesn't seem to support this, we'll have to write some wrappers/custom stuff", take a step back and read the docs again or ask around - the library in general takes care of everything it should and gets out of the way really well otherwise.

Happy to help with this.

Assuming you have a table where the identifiers are stored you'd have the internal one (UUIDv7) and the encrypted version from it (external id).

You could rotate encryption keys whenever you want for new external id calculation, so that older external ids won't change (as they are external, they need to stay immutable).

We recently migrated to Poetry [1] for dependency management and so far it's been a breath of fresh air - it feels like what Python deps should've always been!

You can even have dependency groups, to separate main/dev dependencies for instance. It also brings env management, and plays very nicely with Docker if you use containers.

[1] https://python-poetry.org

This is something I've been thinking for a while for my long term future!

A dream of mine would be to setup a hostel of sorts, with an area for camping, a cafe, maybe food trucks in the summer?, surf/climbing options nearby and perhaps a partnership with schools/guides.

And the main thing: a big hangar to work on campervan conversions, with a ton of tools available and some staff supervision. The idea being that you bring your van, pay some sort of membership/one-time fee and work on it, with our help.

Perhaps do some in-house conversions for clients, but that would be just a side business to help keep things going.

Sorry the position is now filled!

Well, I think there's value to both points - how much of the maps code would you need to be able to get something working, and how much work would it take to implement all the custom internal dependencies that would probably be missing?

I'm sure there are very complex valuable pieces of code within the maps codebase (or any other), but it would be a fairly massive task finding those pieces, extracting them, and getting them to work properly in a different codebase...

Ah yes apologies - edited the link, let me know if it works now!

Thanks

I think they mean something like:

[Client]->[Cloudfront]->[Load balancer]->[ECS service in a VPC]->[RDS/other internal systems]

* Replace the above with any other cloud provider, or just commercial/open source tools that do the same job running in a VPS or whatever *

I can't see how any of this could be claimed to be protected by an NDA or similar, as this is just a highly standard architecture.

If you work on a proprietary system that has a specific architecture just don't mention that of course. I think the above allows us to discuss things pretty well, talk about introducing caching, why each layer is there, TLS termination, authentication/authorization concerns and implementation, secrets management...

SafeBeat Rx | Senior Backend Engineer | San Francisco Bay Area, Remote (preferably USA) | Contract

At SafeBeat Rx, we're on a mission to make life-changing EKG software to power hospitalization at home. Our product uses a combination of signal processing and machine learning to help diagnose cardiac diseases and advise the appropriate medication to cardiologists.

We’re looking for an experienced Django/Python backend engineer who enjoys building modular and efficient applications with an emphasis on quality and best practices.

Bonus points if you have experience in Machine Learning and are interested in working on that side of our product as well.

You will:

- Drive decisions in our product roadmap, machine learning strategy, design...

- Have substantial opportunities to drive end-to-end design decisions, conduct user research, and help ship products.

- Be expected to shape the product, understand our customers and users, and lead design decisions from day one.

We're a small startup with a big passion for what we're doing and an awesome team so far! So come work with us :)

Learn more: https://bookface.ycombinator.com/company/24166/jobs/52453

We should foster a world full of people who use their brains to interpret rules.

If we're going to blindly do something because "it's the exact rule written here" then we might as well replace all decision makers with an AI that never interprets anything.

Their teacher was wrong for not interpreting the rules correctly - everyone's aware of that. On top of that the people writing those rules were wrong as well for either assuming that teachers would interpret them correctly, or not being more explicit when writing them.

It's a competition that includes writing code as a team: one of the main things you'd want them to do is to use git and thus a website like Github.

PHP was my first language back when I was a teenager in highschool - it all started because I wanted to get some data from users and store it (I just knew basic HTML and CSS back then), when a friend mentioned he used a PHP snippet to send an email from a website. That sounded like magic to me so I bought a book on PHP and my mind was blown by the possibilities.

Several websites and years later I had a pretty good understanding of backend/frontend concerns, web security, SQL and databases... although I didn't really bother setting up a local environment so I just tested new stuff "in prod" by dropping the new files directly via FPT!

After University I then started working as a software developer doing full stack work (mostly Java & Python backends) and Angular, then React for frontend.

In many ways I prefer TypeScript + React in the frontend with a Java/Nodejs + TS GraphQl backend, but I remember the speed with which you could get a website up and running, self contained, with no CI/build/deploy issues and it was the best thing ever to learn really

I'm almost curious to see what it'd be like to build a website super professionally now with PHP, but I'm pretty sure it'd feel very similar to typed python or Java

This has probably been said many times before - but it also seems like a new era for digital surveillance or espionage: bots could "befriend" humans, create full networks of fake people crafting any story imaginable in order to extract information. Maybe

For fun or looking to do something with it?

I started installing a reversing camera in my car, but quickly realized I'll have to drill into the car to get the cables through so I've postponed it to another day when I'll start a lot earlier (almost 4:30pm and it'll be dark in a couple hours)

I've been using Mealtime [1] for a few weeks now and it's been a game changer - literally!

Every meal is different, simple, and healthy; and it's removed the hassle of having to figure out what to cook and what to buy.

It integrates with online groceries, but I believe it may only be available for the UK, unless the list of supermarkets changes based on location.

I'm not affiliated with them at all, just a happy customer

[1]: https://www.mealime.com

I'd bet a significant amount of money that in most cases no one will ever bother to look through the commit history...