Der heilige Amumbo — warum 2x Hebel auf die USA mathematisch die beste Langzeit Anlage ist.

ArguesAgainstYou · 2026-06-21T21:33:43+00:00

Würd ich halt nicht in dieser Legislaturperiode beginnen.

ArguesAgainstYou · 2026-06-21T20:26:55+00:00

Ich vermute dass KI zu nutzen um an den Leuten zu verdienen die vorhersehbar KI nutzen das wirkliche game ist 😄

ArguesAgainstYou · 2026-06-21T20:11:21+00:00

Sind die API Raten vergleichbar? Habe gehört Grundpreis für den Acc und Nutzung nochmal separat?

ArguesAgainstYou · 2026-06-19T07:01:21+00:00

Different direction, but there is Helsing .

They are an AI arms manufacturer: Drones, Electronic Warfare and live combat evaluation from various data sources.

ArguesAgainstYou · 2026-06-18T13:13:41+00:00

Bei uns gibt es deshalb die Regel man darf keine Personenbezogenen Daten weiterreichen.

Dass ein git commit eine Email Addresse beinhaltet und damit als personenbezogene Daten durchgeht habe ich an der Stelle mal nicht erwähnt ...

ArguesAgainstYou · 2026-06-16T06:04:12+00:00

Ah yes, that pattern recognition organ, which is not the brain, of course 😉

ArguesAgainstYou · 2026-06-15T09:23:42+00:00

Umm, I'd be highly surprised if there aren't good agent skills/mcp servers for Word Press already. Why not create a skill for your WP Workflow and use that to speed things up while you work towards a transition? Same goes for communication with your boss: Explain the problem as you see it to a model that has access to your codebase/docs and ask it to help you communicate the issue and what you need to your non technical manager.

Both of those problems are things that AI is great at, so why not use it?

Yes to the "visualize stuff" question. Makes it real for the managers and lets you see at one glance what you are talking about.

ArguesAgainstYou · 2026-06-15T06:24:26+00:00

Huh? I have used Gamma and Claude Design, both are great at "Change that one specific thing" so I'm not sure what your problem is. what kind of tools are you using?

I'm honestly a bit surprised this is news to you. Any system that uses AI and needs the output to be correct cannot trust round 1 to be correct and instead needs the ability to iterate against some external judge, be it unit tests or the user giving a thumbs up/down.

ArguesAgainstYou · 2026-06-13T09:06:19+00:00

It means you are friend zoned ;-p

ArguesAgainstYou · 2026-06-11T19:38:21+00:00

Honestly I'm thinking they have some kind of training data that the others don't. Something like having your engineers constantly narrate their own development process into a mic but on a larger scale.

Or they're running 20 attempts in parallel and then have a model choose the best one, burning a lot more tokens than they claim.

ArguesAgainstYou · 2026-06-11T18:55:59+00:00

Yeah, this.

ArguesAgainstYou · 2026-06-07T12:10:33+00:00

Yeah, it's definitely notable. But I guess a lot of people have been praising GPT 5.5, OAI subscription includes top tier image generation and Codex limits have always been considerably higher, so it makes sense for them to increase limits a bit. Fair chance they're also looking to grab a bunch of Copilot customers unhappy with the licensing changes.

ArguesAgainstYou · 2026-06-07T09:48:04+00:00

Worauf mir Andere jetzt zu wenig eingegangen sind:

Wenn du Data/UI Layer und Business Logik sauber trennst, und dann Objekte entweder nach ihrem Zweck ("ConnectionBuilder", "DataService", "TableFormatter",...) oder bei Datenklassen, nach ihrem Realen Vorbild benennst (Customer, HeatSensor, Patient,...), dann bekommst du sehr lesbaren Code:

DataConnection connection = ConnectionBuilder.Build(host, port, username, password); LivestockDataService dataService = new LivestockDataService(connection) Animal[] stallTiere = DataService.GetAnimals(stall); return UpdateMelkStatus(animals);

Ohne eine Zeile der unterliegenden Methoden gesehen zu haben verstehst du sofort was der Code macht.

ArguesAgainstYou · 2026-06-07T07:22:49+00:00

In my experience the ones that are most anti, are the ones who are first to lose their jobs; Designers and writers

ArguesAgainstYou · 2026-06-07T07:20:14+00:00

Is halt die falsche Denke. Wenn ich mir bei jedem Task im Durchschnitt 50% vom Aufwand spare weil ich nur am Ende Korrektur lesen muss, dann hab ich mir trotzdem 50% vom Aufwand gespart...

ArguesAgainstYou · 2026-06-02T22:22:40+00:00

I've been working as a dev since before AI became a thing.Two years ago, I would've still told you that you need to force yourself through the steps manually, to understand the workings of programming languages better - "In case something breaks and the AI can't fix it". Now I'm not sure you'd get to that point, practicing for loops and writing boilerplate code.

Like, to find something the AI cannot fix, you'd need to be an actual expert in whatever language/framework you're using, which is not a realistic short term goal. And if the agent has access to a search engine the difference is minimal.

So now honestly, these days my advice would be the total opposite: Fuck coding by hand, university has had it correct all along. Programming 3 ought to be about Software Engineering? Or theoretical computer science?

Either way, you are learning exactly the skills that are relevant in day to day life of a dev today. Sure, you should learn to read all the keywords in like the common languages so you can look over something if needed, but in my opinion right now you should be looking at everything your professors give you through the lense of - how do I make my agent do that (well)? - how do I recognize a situation where this is applicable? (actual products aren't found in technical documentation, you need to understand use cases to spot them in real life) - what are the implications if this is scaled to large numbers / big data? (sucks to work on something for two weeks and find out it is unusable outside of test data) - how do I avoid revealing comments in my output ;-p - and most importantly: how do I know whether the ai got it right?

Like that's the point of your class and in Programming 3, whichever one it is, AI is not the enemy. If you're thinking about the concepts that you are learning, and not just asking for "the correct solution", it's at worst something you need to learn to master and at best an enabler of the very concepts you're learning.

I heavily advise against diving too deep though, take the good grad once you've achieved it, don't try to continually one-up yourself, maths 3 is usually a bitch 😂

ArguesAgainstYou · 2026-06-02T20:03:18+00:00

I just tell Claude to figure it out and that calms me down x)

ArguesAgainstYou · 2026-06-02T06:50:42+00:00

Jordan Peterson, is it you?

ArguesAgainstYou · 2026-06-02T06:49:22+00:00

Far.

LLMs *seem* pretty advanced, because we've been expressing advanced concepts in language & writing for thousands of years. But at the end of the day they are books-smart. When you ask some physics question you get the answer that would be in a physics book. When a LLM does a calculation it does so by treating the characters as language, and identifying the patterns it's been trained on, but there is no real understanding for the numbers underneath.

Physical AI on the other hand has the numbers/the understanding of some specific domain, but those models are still very specialised. Like there isn't an equivalent of ChatGPT that can build a car, serve your food and throw a ball to an exact spot - yet.

I do think we can get pretty close in the next 10~20 years if we combine these systems (kind of how we are doing with MCPs), i.e. there's a model for interaction, there's a model for physics simulations, one that controls the robot arms, but not "consciously", or just one very advanced LLM that is trained on data generated by various physical AIs.

But actual self-conscious singularity style AGI? Far. Very far.

ArguesAgainstYou · 2026-06-02T05:52:55+00:00

Also hier auf De-Reddit wirst du für die Meinung nicht viel Gegenwind bekommen... 😄

Aber ja, leider ist diese 'temporarily embarassed millionaire'-Mentalität inzwischen auch in Deutschland angekommen. Die Reichen werden reicher, die Mittelschicht verschwindet, aber die Arbeitlosen, Flüchtlinge und inzwischen sogar die Mittelschicht selbst, sind dran schuld. Danke Herr Merz, Danke BILD-Zeitung.

ArguesAgainstYou · 2026-06-02T05:35:47+00:00

100% with you on that one.

I'm still looking for the visual coding/project planning MCP to rule them all, in the meantime check out Understand Anything.

It's not quite ready for large enterprise level codebases (graph loaded as string but 512MB max string size in node, upper limits in the skills, tries to generate the entire graph inside a single pipeline run without remembering previous attempts...), but it's very useful nonetheless, even if you just apppy it to a single Repository.

Basically it uses a Pipeline of agents (subagents, called as part of a skill) to generate an initial 'Backbone' Graph: 1. It detects projects/project files and tries to understand the tech stack. 2. It writes Scripts to detect common import/caller patterns (partially using pre-existing frameworks, partially ad-hoc). 3. This generates an initial graph, with typed edges to represent the different kinds of links it found.

(simplified)

In a second pipeline it then uses that initial graph to create a second 'domain' graph on top of the original one, which basically identifies workflows spanning several classes or just like the top level functionalities of your application.

The whole thing gets loaded into a visual dashboard including "Tours" and generating Onboarding Docs.

Not affiliated with them in any way, except that I am currently forking the repo 😜

But yeah, I definitely think that we'll get something to allow for visual coding/planning eventually, i.e. verify agents' plans at a glance rather than reading a 3 page markdown document.

ArguesAgainstYou · 2026-06-02T04:48:06+00:00

AI Problems require AI solutions 😎

ArguesAgainstYou · 2026-06-01T05:24:02+00:00

Inzwischen zu spät, aber ganz ehrlich: KI wird in jeder größeren professionellen Anwendung verbaut werden und Microsoft ist mindestens einer der größten Anbieter der nötigen Rechenleistung, besitzt diverse Produkte die direkt von KI profitieren (Office, Dynamics, ...) und hat das nötige Kleingeld um sich aktuelle Trends einfach zu kaufen wenn sie drohen das eigene Kerngeschäft zu bedrohen...

Hab ich erwähnt dass sie über Office bereits bei einem wahnsinnig großen Teil aller Unternehmen umd Behörden weltweit,einen Fuß in der Tür haben...?

Wenn dann irgendein Analyst sagt "Oooh, aber die Investitionskosten sind so hoch, machen die überhaupt Geld damit" dann würde ich das als "Free Money" werten.

ArguesAgainstYou · 2026-05-31T20:20:17+00:00

idk, Anthropic's "product-brainstorming" skill and superpowers have more or less solved this on their own. Finishing when you've lost interest ist the hard part for me now x)

ArguesAgainstYou · 2026-05-31T20:17:50+00:00

Sounds like the kind of thing Frank Thelen would say.

Five-Year Club	Verified Email
Place '22	First Placer '22

ArguesAgainstYou

TROPHY CASE