Vespasian

An app (functional ear trainging) and then mostly trying to replay melodays of songs on my guitar

I thought the same for a long long time.

At least for me the solution was to grind ear training for a few weeks/ months 10 minutes a day.

I'll certainly never reach the heights of this skill but a bit of persistence to overcome lack of natural talent did propell me forward.

If it's the same mod from a few years back it's possible that they view this a nostalgic feeling.

There is also the possibility they don't keep up with modern AI development at all and then this looks like any old spam that will stop in a few days (as it did).

Now whether it is wise to keep an old page which such outdated behavior online is another question.

Handing out digging spots if you are the shovel manufacturer sounds reasonable.

It would open up a tertiary market for smaller companies to do that (maybe even sell into a different market).

Not every business venue needs to be a multi billion multi national and using some devices for a long time is better than burrying them all in a land fill.

Hyundai is doing that at least in the Ionic 5

That's also what trucks already do to eliminate dead angles and help the driver manoeuver in tight spaces

I get where it's coming from but I think it is also very funny if someone actually believes their claims (except as a CYA strategy)

The AI companies have already shown how little they care about other peoples intellectual property and they won't care about their customers either if it stands between them and the promises they made to their investors.

Open weights are certainly something that is very eagerly being adopted in some companies.

It's not even that expensive because even the 15€/month/employee bill for people who use AI very little can stack up.

Beside that though, many companies already have most if not all of their data in some cloud (Microsoft would be a prime example). Giving them a few extra bugs to get a (potentially) very useful tool is not out of the ordinary.

If you are under the impression that not going AI would threaten your business right now (which may very well be true for some companies) then there isn't really a choice even if you believe the vendors will steal everything eventually (which they totally will)

I strongly suspect most companies don't spend that much either.

Unlimited tokens aka unlimited cost is something that not every use case needs.

My personal best case scenario is that LLMs are commodotizing and that the "We'll rule the world with our frontier models" vision of OpenAI and Anthropic is not working out.

They can and probably will still be very successful but what they pitched so far is not going to work if their is any meaningful competition not too far behind.

But who knows. VC money allows them to try a lot of stuff before their eventual IPO.

Eventually 2028 and 2029 will come around and at some point today's data center builds will be (economically) full.

In addition to that there are extra fabs build and (for example) China can use the high margin to catch up with their processes without breaking the bank.

That is a concerning possibility but I wonder what the threat model is.

They have all that information already and could simply classify and pass it on without the need to encode it with a probability.

This is really nothing new and has always be the case It's not possible to tech yourself out of a political problem.

So if there is something being done we should choose a solution that has at least some accountability to the general public (through elected representatives).

The alternative is Google, Apple etc where almost anyone has exactly zero influence and the government can still block as they like.

I'll sneakily claim I did but the reality is English as a second language and I'm not yet ready to let a LLM do all the fun for me.

I think there is also the case were companies will simply use different tiers for different tasks.

While the engineering team might need a cutting edge model (with the associated costs), the marketing department will be fine by something that can grammar correct or turn a few bullet points into prose. Likewise you already don't need Fable for Ticket -> RAG -> Reply with Faq knowledge or escalate workflows

That's already the case with other very expensive software like CAD packages were oftentimes you have different feature sets enabled for different employees.

Also that can't be the whole story because Planck died in 1947 and in Germany (then and now) Copyright ends 70 years after the death of the author.

I wonder whether most scalpers are hustle types, bored teenager or organized groups.

They did, but decided to mess with them first.

A sensible human operator would have given up or questioned their premises. The agent never could of course.

Maybe? It just takes one after all.

I've met some people IRL who are so engulfed in their own greatness that it simply cannot be that they made a mistake (in planning and strategy). Therefore this is all a great injustice towards a poor victim and doesn't that sound like a great argument for some charity money.

Most of them grow out of it, some become politicians.

I'd say it's a 50/50 chance.

That is also not guaranteed. VW (with its array of brands) leads the european BEV market by a lot. [1] (sorry I only found data for April 2026 right now but earlier months were similar)

One additional point of data. In Q1 of this year they delivered 200K BEV worldwide [2] while Tesla did 350k [3].

Calling that 10 years behind is not warranted in my opinion. I would agree to say competitive and challenged.

[1] https://cleantechnica.com/2026/06/01/europe-ev-sales-report-... [2] https://www.volkswagen-group.com/de/pressemitteilungen/volks... [3] https://ir.tesla.com/press-release/tesla-first-quarter-2026-...

That's not quite right.

For example Siemens and Bosch are large enterprises specialised in industrial scale electrical machines and parts (among other fields).

Infineon was spun off from Siemens 25 years ago an plays an important role in chip manufacturing for automative systems.

Yeah it'll fly legally.

Everybody should just assume that they are lying about data retention and learning anyway.

They showed zero respect for intellectual property in the past and they will show zero respect now or in the future. A few thousand Euros/dollars in subscription doesn't matter when several trillions are in play (at least in their plans).

I guess is was partially the high prices but also their unpredictability.

Having to increase an already high price would not be great.

That is now somewhat better then half a year ago.

ok how would you recommend to get started? Doing nothing will change nothing.

That doesn't sound bad at all. At least for me as a German that would be a salary that you wouldn't get at every random company.

Maybe the Netherlands are different (country can vary a lot with what is included in a salary) ?

As usual if there is reasonable competition this limits what the established actors can and will do.

Are they under any obligation to ground the value of their own stock or can a salesman simply claim that the "true" value of that stock is much much more than it currently seems to be?

Wrapper around the function call. Don't give it the token itself but a limited set of fixed functions to create domains (their use case according to the post).

Additionally give it a similar restricted way to "delete" domains while actually hiding them from you. If you are very paranoid throw in rate limits and/or further validation. Hard limits.

Yes this requires more code and consideration but well that's what the tools can be fully trusted with.

And also how you work with automation safely.

If you employ a new tech then there need to be extra safeguards beyond what you may deem necessary in an ideal world.

This is a well know possibility so they should have asked and/or verified token scope.

If it turns out that you can't hard scope it then either use a different provider, a wrapper you control (can't be too difficult if you only want to create and delete domains) or simply do not use llms for this for now.

Maybe the tech isn't there just yet even if it would be really convenient. It's plenty useful in many other situations.