HN user
MSc. Financial Software Engineering
From an investors perspective, this is truly a paradigm shift - this will kill a whole range of startups in Europe which were packaging privacy and wrapping around large hosted models. There's absolutely no reason to use a "Privacy GPT tm" provider, then I have it all on my own laptop - There is also no need for banks or other regulated institutions to rely on those providers when they can selfhost with this much intelligence on tap.
I love small form factors, and I am what youd call a professionel :P
Why are you posting this to HackerNews?
This isnt a hype board, for consumer products. Its supposed to be a tech first community.
I am none the wiser. How do I get my 5 minutes back?
You mean if people living there were renting?
This is purely anecdotal, but I find that the buildings with professional management and purely renting tenants, look better and seem more well kept, compared to the smaller "Andelsforeninger" where its a volunteer management team trying to run it.
This is a big thing in Denmark and has been for several generations.
https://da.m.wikipedia.org/wiki/Andelsboligforening
The issue with them is that the loans to build the properties are socialised, so if the other members can not pay the debt, the entire loan is the responsibility of those members who can.
Also, the incentives of a cheaper than market rate flat, means that corruption and nepotism is rampant in those buildings.
It is not pretty in practice.
No no, its good that is simple to understand.
All those details can go in the docs / faqs section.
I really like the simplicity of the offering. The website looks great (to a human) and explains the API idea very simply. Good stuff!
Isnt that basically what browser-use is?
Yes!
Spend any amount of time, reading the implementation of powerfull algorithms (A* search, Bubble sort), and you will realize that the power is in the idea, not the feeble attempt at coding it in PHP, Go, JS or what ever.
For one, I have started using the tools that are available right now, to increase my productivity and intuition with what the new capabilities are.
I think the original author is on to something, about how the structure of our codebases will change, and therefore our preferred frameworks will change as well.
The frameworks we use today, assume that the codebase is DRY[1], and that a human will verify the workings of the codebase. A human will write a single test, for a single component and verify that the test functions correctly - then leave it in there, for successive runs to prove there has been no regression to the code quality.
But as the author points out - that doesn't lend itself to truly parallel programming. Because as one programmer/agent changes a central component that another programmer/agent also changed in the same release cycle, merge conflicts arise and grown into architectural conflicts and grow into team conflicts.
I see how accepting more duplication, can lead to more parallelization. I mostly cared about keeping code DRY because its hell to refactor a codebase with 5 implementations of the same thing. But if I am just instructing an LLM to make the change, I dont care how many files it has to visit - its still the same single instruction from me.
So I will think long and hard about how tooling needs to improve, and how frameworks need to change, to be part of this new paradigm. Similar to how Object Oriented Programming optimised for human logic rather than cpu cycles, the time of LLMs will optimise for testability and parallelisation rather than gpu cycles, or DRY paradigmes.
Clear and concise thinking, its the first time I have read someone cut through the hype and argue logically for what the next incremental steps are in making progress down this path of LLMs creating technology.
The first steam engines were too expensive and underpowered, the first cars were deatch traps when they actually ran. Dont lul yourself into the dream of a static world.
We see the wave coming, I will look for a way to surf it. Don't be the stunned sceptic waiting to feel the crush.
Just as recruiters were stopping to spam me via GitHub...
This is wild! If you want, this could become a great contender to the RPA products out there. I know people who are trying to build AI for RPA, but this seems like a much more solid approach.
Let me know if you are interested in turning this into a startup, happy to direct you to some relevant people.
Maybe you misunderstood me. Some people get an inheritance. Other people have to use their savings.
It may be possible for you later in life. Most bootstrappers have worked up some wealth via traditional methods like savings, home equity, inheritance, and freelance/consulting work.
VC money and accelerators are primarily for people who dont have the wealth to bootstrap, but who are young and willing to take investors on early.
Would it be possible add an "expand all" option? I am searching through them with ctrl+f, to figure out which of them are similar to other ideas that are being considered today :D
It was interesting to dig through and consider if it was the idea, the timing or the execution that lead to the failure.
I should have guessed this was your handle Rob :) I listen to your podcast whenever I need a boost, but somehow never made the connection that you are one of "us", here.
If you'd like to get some scandi guys on your show, I am a GP at www.likeminded.vc, and connected into the community around Copenhagen and the nordics.
Congratulations Paras! Awesome to hear a story like this and impressive that you managed to build such a strong company in such a short time.
Its an awesome game.
It triggered my entrepreneurial journey as a kid, and one of the first "open world" experiences I had from games. I would spend weeks trying to figure out what the right strategy was for a specific map.
In many ways, an entrepreneur and VC today, I am still playing that same game, and as the technological landscapes changes, so do the strategies I get to dream up.
Get a lot of data, and just dig in :) No better way to learn.
Very interesting. Currently working on timeseries with Transformers. Let me know if anyone else out there is also reading it from that context.
Absolutely true.
I do believe most engineers experience this maturing when they get access to leverage in the workplace, such as going from being an individual contributor to a leader or mentor.
Try sales for a while, and you will realise that no customer has a neatly defined problem for you to solve. They have real complex problems, which you may be able to shoehorn your general solution into. But even then, there is always an alternative solution for the customer which may be simpler or cheaper, such as just hiring an intern to do the job your software can do.
I very interested in this usecase - where should I go on the interwebs?
I would advocate screening with the very technical questions up front.
There is no need to drag a large set of people through a funnel that only eliminates them at the very end on the hard requirements.
I built Trovinto.com to generate technical questions and evaluate candidates answers on a quick questionnaire.
Save everyone's time, and when you know there is a fit on skills then I think you should spend even longer on the soft questions.
Getting a new job is a huge decision, not something that should be concluded in 3 hours over 2 interviews and a call.
ChatGPT had sparked the imagination of the industry, but the fire will be lit with offline models that can take accept private data.
For logic trader, remember to factor in slippage and market depth.
Really interesting. I have been looking at building something similar to just educate Apes.
Also interested in building an audit trail (portfolio tracker) for financial analysts in mainstream media, to keep it more honest. Think trustpilot for analysts but with a portfolio tracker curated by volunteers when they recommend trades
Look up Better Collective, a Danish bootstrapped startup on the same premis which is now worth billions.