jstrebel

It's always good to see improvements around WSL2, but especially this one is not so relevant IMHO, since it only affects WLS2 file access to Windows file system. If you store your dev environment in WSL2 anyway, this won't help you.

AI is like TV in that old saying: AI makes the smart ones smarter and the dumb ones dumber.

LLMs can both help you advance your knowledge and do your homework (preventing you from learning).

I am trying to build a simulation that lets a simulated organism come up with its own small language, purely learned from sensory input: https://github.com/JoergStrebel/VirtualZoo/blob/main/compute... I would like to implement the ideas put forward by Stevan Harnad in his symbol grounding problem paper (Harnad, 1990).

Banking apps are the deal-breaker for me. I only do business with banks that offer alternative ways of securing transactions e.g. eTan / ChipTAN / PhotoTAN with a separate reader / generator (see https://www.bsi.bund.de/EN/Themen/Verbraucherinnen-und-Verbr...). This is probably a pretty European thing to do, but at least it avoids being locked in and being tracked.

But you would already have to have shell access to the system to execute those commands, right?

An adult is a person who managed to leave childhood behind, especially in his thoughts. It's the independence of and emancipation from childhood.

I also love it. Finally, I am no longer constrained by syntax errors or forgotten API details. I can focus on the feature. It's like taking programming to a higher level - programming in English (instead of Java).

How does your framework compare to spec-driven development e.g. https://github.com/github/spec-kit? In my experience, spec-kit produces a lot of markdown files and little source code.

Death will soon realize that he messed with the wrong man.

Well, in a world of finite resources, I think I would need a better reason to invest time into this topic than just "for the challenge". I mean I just think that I have ample opportunities to do something more sensible with my time. Climbing a mountain at least gives you bragging rights; I don't think a bootable floppy disk is impressing anyone these days.

A very nice video. It shows that computer games are glamorous on the outside, but once you look behind the scenes, they just look like normal software. I was also surprised to hear that the team did not only rely on computer graphics textbook algorithms, but built their own pathfinding algorithm in a pragmatic manner.

Ok, impressive, but - why? No current computer has a floppy disk drive anymore. The Web Page claims building such a disk is a learning exercise, but the knowledge offered is pretty arcane, even for regular Linux users. Is this pure nostalgia?

Hmm, no, I don't think I want to tell OpenAI my banking details and transactions. (sorry, Google and Microsoft, you need to stay out, too)

Lefties sympathizing with criminals, sharing their wealth distribution fantasies, agitating against competing political views. You've come a long way, CCC! The initial ideas was political, but with a clear focus on freedom of information, and the power to govern your own personal data.

In all fairness: human senior devs see AI-written source code with some disdain, as it usually does not match their stylistic and idiomatic preferences (although being correct and fully working). I don't think that untested code is the problem here - you can easily measure test coverage and of course. every CI/CD pipeline should run the existing unit and integration tests.

I am certain that LLMs can help you with judgment calls as well. I spent the last month tinkering with spec-driven development of a new Web app and I must say, the LLM was very helpful in identifying design issues in my requirements document and actively suggested sensible improvements. I did not agree to all of them, but the conversation around high-level technical design decisions was very interesting and fruitful (e.g. cache use, architectural patterns, trade-offs between speed and higher level of abstraction).

The publicly funded media (radio, TV) obviously use this finding to claim that they need more money and/or a tighter regulation of AI companies' products. Sounds a bit self-serving to me...

If you want to do research, usually the first thing to do is refine your research question up to a point where it becomes relatable to the scientific state of the art and where it becomes clear how to test / evaluate it. I don't think you are there yet.

I think this "argument" has always been flawed. I don't need to justify what information I would like to share especially with state agencies. In Germany, this is even encoded in a legal principle called "Informationelle Selbstbestimmung" (informational agency). It's not about the information, it's about my right to decide about sharing it.

Impressive setup, but I would assume it to be very operations-intensive because of the high number of deployed components and their complex configuration. Plus, if you are serious about self-hosting, you would need the facilities and infrastructure to deploy it: server rack, redundant power supply, smoke detectors, fire extinguisher... I would never let my PC-grade hardware run unsupervised in my home. And if I understood correctly, you would still have to have some server on the Internet for running your Headscale VPN, so you need your own dedicated Internet connection - ADSL, dial-up, cable modem would not be enough.

I think there is a misunderstanding - the whole point of my comment was that LLMs are lacking sensory input which could link the neural activations to real-world objects and thus provide a grounding of their computations.

I agree with you that purely symbolic AI systems had severe limitations (just think of those expert systems of the past), but the direction must not only go towards higher-level symbolic provers but also towards lower level sensory data integration.

I absolutely love this paper and it's a shame that this research does not receive more attention. Everybody is raving about LLMs, but also everybody is ignoring the shaky foundations on which they are built (just think of training data poisoning). It is also a shame that there are no real software applications to my knowledge that really implement the iconic and categorical representations and try to build an AI system around it.

I played it yesterday, and IMHO, the visual appearance looks a bit inconsistent. On the one hand, you have the satellite, high-detail top-down landscape view and on the other hand, you have the very basic, geometric, small and uni-color shape of the boat. I would try to reduce the level of detail of the environment, so the overall scene gets easier to observe /understand visually. Can you zoom in on the boat a bit?

Well that's right, but only the currently elected parliament is allowed to stay during war times, not the president. So you cannot have elections, but the president cannot simply stay in power without them.

This is an AI-generated post where the first part is the hook for the second part, the ad.

I would agree - especially developers are prone to develop this "better than you" attitude. The detail-oriented job of a developer and the need for exactness and correctness of the code leads to a high transparency of the quality of someone's work and facilitates comparisons on a peer level. I have the feeling, developers treat their work as some kind of puzzle and look to see who can solve this puzzle quicker and better - a very competitive environment with clear rights and wrongs. If you have an edge, you can abuse this situation.

I tend to agree - just look at large parts of the Venture Capital / Start-Up scene. Chasing the coveted product/market-fit is a purpose in itself there (at least in the early stages). I guess it depends on what you define as "successful"...

I see this article as a piece of its time - it tries to bridge the divide between connectionists and symbolists. And that's exactly my problem with it: of course, you need a non-symbolic approach to sensor data processing, fusion, aggregation, category discovery etc. but it does not necessarily mean that a neural network is the only option. In the end, an ANN implements a mathematical function and as such, you as the system designer should be able to choose any mathematical framework for your lowest level.

You sound severly frustrated. You don't need another job, you need a good coach or psychologist to treat your burn-out (which is a form of depression) I can only speak for myself: yes, corporate it teams can be mentally draining, but working there will make you money more easily than in most other professions.

To be fair - J2EE (and its associated technologies like SOAP, XML) is a bit like alcohol. It is great when used in moderation, but gives you headaches when used excessively.

XML is great - if you don't believe it, then you might be interested in the pains of parsing JSON: http://seriot.ch/projects/parsing_json.html And don't get me started on YAML...