fzeindl

This is the real URL https://www.derstandard.at/story/3000000310374/suchtexperte-...

For some reason HN changes the URL in the submission.

In the book „the design of everyday things“ it is mentioned that „natural mappings“ exist. Moving the knob of a vertical slider to the upper end universally means „brighter“ or „louder“, not „less bright“ or „more silent“.

There are people who can actually separate their self-esteem from the winning of arguments ;).

But thanks.

Interesting experiment, this disproves my point, thank you.

While technically possible, it is a very unusual situation that the car is already parked at the car wash, while the owner is somewhere else.

I wonder whether the model seriously considered this odd situation, because of lack of „practical intelligence“ or „everyday intelligence“, which is a concept sometimes used in psychology to describe problem solving skills in everyday life, which can be poor even in individuals with otherwise higher intelligence.

Differently put: „You can‘t learn everything out of a book.“

I read somewhere that Google will ultimately always produce the best LLMs, since "good AI" relies on massive amounts of data and Google owns the most data.

Is that a based assumption?

The 555 is a versatile little thing. I used it at university for a simple circuit which allowed an arduino to cut it’s own power for 5 minutes and then boot again.

They probably won‘t. I recently watched a talk (in german) with Julia Friedrichs, who wrote a book about millionaires and billionaires and did many interviews with them:

https://www.youtube.com/live/4HpJKPywXqY?si=bb-p558jl_otP25I

In her research she found that many of the ultra-rich people actually have deep/patriotic/nostalgic ties to their home/community and want to invest there. They often use certain tax-evasion measures because everybody else does and she argued that those few ultra-rich people who really just care about minimizing their taxes have already moved everything abroad.

> I know blaming everything on LLMs is in vogue right now; but this is much more to do with Microsoft very publically firing the QA department.

Yes, yes, "agile" everything...

I remember clicking on a perfectly honest button in Azure Dev Ops (Production) and it told me that the button is completed but the actual functionality will be probably delivered in Sprint XY.

That is incidentally one of the many papercuts that are widely accepted in Windows, but never were a problem on a mac.

Don’t try to interact with a windows desktop while it is still booting up. Better to wait for everything to settle down, otherwise apps will constantly snatch away focus and your typing will go into random applications.

LLMs sometimes remind me of american car salesmen. Was the hopeful "anything is possible" mentality of the american dream accidentally baked into the larger models?

I once had an idea of buying the domain "freeofcharge.org", where people could put useful services that fit into RAM onto subdomains, meaning services that cost them only ~10$ per month, which they pay out of their own pockets.

Obviously all of what dang said, but I want to add that I think timing is an additional factor.

If you post when silicon valley wakes up on a weekday, you might get “initial” points faster, which leads to your submission being ranked higher up for a while and being more discoverable.

The site doesn‘t mention it, I got that information from various german announcements. I fear there probably won‘t be an English announcement regarding the budget, though there will be many regarding the tunnel.

In a world where large infrastructure projects regularly exceed their budget by 100-1000%, 7% is huge.

It is important to show people that that is possible in government projects.

If you find a more concise way of saying „with unusually small overrun of it‘s budget“ tell me.

Also there were sections added after the initial estimate.

Agreed, it was just important to me to point it out, since staying within such a massive budget on such a long timeline is a rare achievement.

It is mostly within budget, estimated in 2005 were 5.5 billion €, total cost as of today are 5.9 billion €, the difference being largely attributed to the pandemic and later addition of sections.

Bruce Schneier put it well:

"Willison’s insight was that this isn’t just a filtering problem; it’s architectural. There is no privilege separation, and there is no separation between the data and control paths. The very mechanism that makes modern AI powerful - treating all inputs uniformly - is what makes it vulnerable. The security challenges we face today are structural consequences of using AI for everything."

- https://www.schneier.com/crypto-gram/archives/2025/1115.html...

> If you plot the line it's probably still curving up and I'm not clear at which point (if ever) it would start bending the other way.

I suspect when Moore‘s law ends and we cannot build substantially faster machines anymore.

What is the benefit over Elixir?

In german the usual saying in meetings is, literally translated „I can‘t say anything about that (optional: at the present moment)“.

That sentence is widely accepted as a substitute for „I don‘t know“, but at the same time doesn‘t hold the same conclusion, since there could be a myriad of reasons why you can‘t say anything about a topic.

ISO8601 durations should be used, like PT3M.

Apart from the reasons for this block: Why do these decisions always have to be black and white. I believe it would benefit mental health if Facebook was blocked one day per week so people are forced to live a day without it.

Same with combustion vehicles and the climate: block cars in cities a couple of days per week, individually selected per person.

> I see this kind of cynicism often on this site and I frankly find it inexplicable. It doesn't seem warranted. The vast majority of therapists clearly care about their patients.

I find the the view cynic as well, that's why I wrote "apart from compassion and morality", which you failed to include in your quote.

Exactly. That might be something interesting to think about. Humans make mistakes. LLMs make mistakes.

Yet for humans we have built a society which prevents these mistakes except in edge cases.

Would humans make these mistakes as often as LLMs if there would be no consequences?

> There is no comparison to therapists. Because a therapist would NEVER do that unless wanting to cause harm.

Some therapists ultimately might. It occurs that therapists were stripped of their licenses for leading abusive sects:

https://en.m.wikipedia.org/wiki/Center_for_Feeling_Therapy

> An AI Model designed to match my tone and be sycophantic to my every whim. It would have killed me.

Matching tones and being sycophantic to every whims. Just like many really bad therapists. Only they are legally responsible if they cause a death, which makes them care (apart from compassion and morality).

The criminal justice system is also a system for preventing individuals who perform unwanted action from doing them again.

You can’t punish AI for messing up. You would need to pull it out of circulation on each major screw up, which isn’t financially feasible, and you would need to make it want to prevent that.

I find Stallmans views are best summed up by this quote from him:

“I could have made money this way, and perhaps amused myself writing code. But I knew that at the end of my career, I would look back on years of building walls to divide people, and feel I had spent my life making the world a worse place.”

I think before we can fix all that we need to revert the renting of software via subscriptions and go back to one-time-payment. But people are too greedy for that.

Have that here in Austria from time to time as well.

Funniest case I visited was a Chinese restaurant where the waitress always wore a winter jacket, because they couldn’t be bothered heating the place.