perarneng

He said he would never decive you though

Sam Alt-RAM

Im thinking of switching to Gemini 4 Argon. I believe google can beat anthropic. Especially since many google customers will have access to AI through their existing deals with google. Why get an extra subscription of gemini is as good or in some cases better.

I spent way to much time with that :-D

"Fuck the Algorithm" -- its just going to get worse. companies are afraid of the vocal minority. And by minority I mean a small group that complains a lot. They will continue to adjust the algorithm until no-one complain and the masses just slowly adapt and get censored more and more until it becomes the norm.

This is why im always sayin AI is already harming humanity. The censoring and the recommendation (engagement) algorithms are ANTI HUMANITY!

Typesystems prevents hallucination errors and also ads an extra guardrail for the AI to adjust to. Its sometimes hard for the AI and humans to know what types are expected. The compiler holds the AI:s hand

The ripple effects are going to be big. Its going to be rough for any company building products with RAM in it. People will hold on to what they got.

Gemini 3.8 Flash is suprisingly fast, how fast is Argon compared to the other frontier models? Does google have a performance edge?

Humanity is experimenting with AI and we do not have a single clue about the consequences for humanity and there is no way to stop it either. Im 100% convinced most people will be more stupid due to how humans are lazy by default.

Yes perhaps easy refers to when actually using AX as a platform for deploying and managing agents, not actually installing and managing AX itself. I think it's awesome they targeted kubernetes but it's not easy from a human perspective. However with documentation and an AI assistant working with Kubernetes is so nice. I have worked with all the big clouds and Kubernetes a lot. But with AI it's so much faster and nicer to work with Kubernetes. It's so easy to debug and find issues in Kubernetes since the models know's Kubernetes so well. It quickly find issues and just fixes them. With the cloud deployment and changes are usually pretty slow and also it's sometimes tricky to debug if ex enough info isn't exposed. With Kubernetes every little atom is available for inspection by the AI.

It's either being afraid of loosing to china or that model development will stagnate and they want to make it look like they are "slowing" down deliberately.

However the real reason to slow down is more of how it's introduced to the economy. Hypereautomation will kill jobs and destroy the economy. I work as an AI engineer and companies are delivering products at vibe coding speeds to kill jobs and at the same time automating internally. All companies are doing this at the same time and the target it sto eliminate workers.

Most people are so extremely slow to pick this up. How hard can it be to understand what hyperautomation does to the workforce? Companies are desperate to surrivive and they will do all it takes to lower their costs and at the same time not loose to competitors. Its Wild West out there.

Why not flutter?