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Honestly, the person should spend their time of fixing their shit instead of writing blog posts.

I find intellij a great IDE, modern frameworks are fun to use, ai helps me doing things i don't want to do or things i just need (like generate a good README.md for the other people).

Containers are great and mine build fast.

My Startup has a ha setup with self healing tx to k8s and everything is in code so i don't need to worry to backup some random config files.

Hardware has never been that cheap. NVMs, RAM and Compute. A modern laptop today has a brilliant display, quite, can run everything, long batterytime.

Traffic? No brainer.

Websphere was a monster with shitty features. I remember when finally all the JEE Servers had a startup time of just a few seconds instead of minutes. RAM got finally cheap enough that you were able to run eclipse, webserver etc. locally.

Java was verbose, a lot more verbose than today.

JQuery was everywere.

How did you do that?

You complelty ignore the foxcon problem?

Google makes money with ads and at least takes this serious.

Apple just exploits.

Uncloud is so far away from k8s, its not k8s like.

A normal person wouldn't think 'hey lets use k8s for the low stakes deployment over here'.

Which is fine because it absolutly matches the result.

You would not be able to operate hundreds or thousand of any nodes without operation complexlity and k8s helps you here a lot.

So you build an insecure version of nomad/kubernetes and co?

If you do anything professional, you better choose proven software like kubernetes or managed kubernetes or whatever else all the hyperscalers provide.

And the complexity you are solving now or have to solve, k8s solved. IaC for example, Cloud Provider Support for provisioning a LB out of the box, cert-manager, all the helm charts for observability, logging, a ecosystem to fall back to (operators), ArgoCD <3, storage provisioning, proper high availability, kind for e2e testing on cicd, etc.

I'm also aways lost why people think k8s is so hard to operate. Just take a managed k8s. There are so many options out there and they are all compatible with the whole k8s ecosystem.

Look if you don't get kubernetes, its use casees, advantages etc. fine absolutly fine but your solution is not an alternative to k8s. Its another container orchestrator like nomad and k8s and co. with it own advantages and disadvantages.

I mentioned it in my other comment but people like LeCun, Demis Hassabis, Fei-Fei Li do.

There are indications that Open AI is doing this but nothing official as far as i know and i have not heard anything from Anthropic.

For sure. But they also have high volumne and know how to do everything.

Also certain companies normally don't like to do things themselves if they don't have to.

Nonetheless nvidia is were it is because it has cude and an ecoysystem. Everyone uses this ecosystem and then you just run that stuff on the bigger version of the same ecosystem.

For sure but do you see them at any relevant leader boards? Any news how good they are?

I don't.

I know their models, but not because i constantly read about it

AlphaGo Zero doesn't need much human intervention at all.

Regarding world models: All the big ones. LeCun, Demis Hassabis, Fei-Fei Li too. And they are all working on it.

LLMs will definitly play some type of role in AGI. After all you can ask an LLM already a lot of basic things like 'what are common tasks to make a tea'. A type of guide, long term fact memory or whatever this can be called.

Nvidia has everything they need to build the most advanced GPU Chip in the world and mass produce it.

Everything.

They can easily just do this for more optimized Chips.

"easily" in sense of that wouldn't require that much investment. Nvidia knows how to invest and has done this for a long time. Their Ominiverse or robots platform isaac are all epxensive. Nvidia has 10x more software engineers than AMD

Sry to say but the fact that you argue with LLMs never become AGI, you are not up-to-date.

People don't assume LLM will be AGI, people assume that World Models will lead us to AGI.

I personally never asumed LLM will become AGI, i always assumed that LLM broke the dam for investment and research into massivce scale compute ML learning and LLMs are very very good in showing were the future goes because they are already so crazy good that people can now imagine a future were AGI exists.

And that was very clear already when / as soon as GPT-3 came out.

The next big thing will probably be either a LOT more RL or self propelling ai architecture discovery. Both need massive compute to work well but then will potentially provide even faster progress as soon as humans are out of the loop.

For the fact that they invented Deep Blue, they are really struggling with AI

You are just an info broker and not in it.

I helped a collegue to migrate to germany, your job can easily be optimized away by an LLM.

Biggest issue he had was communication/translations. Second one was finding the right information.

Try perplexity and it will find good resources. Make pictures and use google lense for translation. Talk to ChatGPT to get explanaitions on how things work in germany.

I also have no clue what you mean by 'connections and infrastructure'. You know the number of some Ausländerbehördenmitarbeiter?

An EU Company pays taxes in EU, has a EU mindset (worker laws etc.), focuses more on EU than other countries.

And an EU company can't be forced by the US Gov to hand over data.

Thats not the point.

Deepmind is not an UK company, its google aka US.

Mistral is a real EU based company.

Its not just a battle between companies, its also a battle between countries.

USA vs. China. If USA stops research on AI right now, China will leapfrog even further.

And companies like Google and Microsoft can easily affort the current AI spend.

Image editing is now working so well, last week i used nano banana instead of doing anything in photoshop.

That image generation is already disrupting industries and jobs today.

My mother! (non technical) had a call with a support ai agent just a few month ago.

AI is also not a fad. LLMs are the best interface we had sofar. They will stay.

AI Coding helps non developers to develop a lot faster and better (think researchers who sometimes need a little bit of python or 'code').

I'm using AI to summarzie meetings i missed, i asked chatgpt to summarize error logs (successfully).

AlphaFold solved protein folding.

Nearly all roboters you see today are running on Nvidias Isaac and Groot.

The progress has not stoped at all. When Nano Banana came out, Seedream 4 came out a week later. Now we have nano Bananan Pro and Gemini 3.

After Gemini 3 came out, Opus 4.1 came out and now Deep Seek v3.2. All of them got better, faster and/or cheaper.

When i write 'the industry' and talk with people on hackernews, my context is IT.

Feel free to tell me what your industry is so we can continue our discussion.

People should be happy that commercial entities invest that much money into compute, especially on hn.

This will leap frog cancer research, material research etc.

They pay people in Malaysia to solve issues.

Google has a ton of code internal.

And million of people happily thumb down or up for their RL / Feedback.

The industry is still shifting. I use LLMs instead of StackOverflow.

You can be as dismissive as you want, but that doesn't change the fact that millions of people use AI tools every single day. People start using AI based tools.

The industry overall is therefore shifting money and goals etc. into direction of AI.

And the author has an issue because of that.

Do you have a source for this?

I would not want to rerun a whole run just because of bit flips and bit flips become a lot more relevant the more servers you need.

I understand hating at people like Musk who destroys human lifes but what is Sam Altman doing?

Because of (c) of images or just because he bought ram?

There was the issue of hard disk prices for years after the floods in taiwan in 2011.

GPU prices were horrendes when crypto happened (they migrated into a stable issue but it was still because of crypto).

DDR4 jumped because they started focusing on DDR5 before these news right now.

I could probably find more examples but hey

Completly agree

I personally would call them ignorant beliefs.

Its a global industry shift.

You can either hope that this shift is not happening or that you are one of these people surviving in your niche.

But the industry / world is shifting, you should start shifting with.

I would call that being innovative, ahead etc.

I find this very generic what you are saying and they.

What stance against AI? Image generation is not the same as code generation.

There are so many open source projects out there, its a huge difference than taking all the images.

AI is also just ML so should i not use image bounding box algorithm? Am i not allowed to take training data online or are only big companies not allowed to?

He is right though:

"Jeez there so many cynics! It cracks me up when I hear people call AI underwhelming,”

ChatGPT can listen to you in real time, understands multiply languages very well and responds in a very natural way. This is breath taking and not on the horizon just a few years ago.

AI Transcription of Videos is now a really cool and helpful feature in MS Teams.

Segment Anything literaly leapfroged progress on image segmentation.

You can generate any image you want in high quality in just a few seconds.

There are already human beings being shitier in their daily job than a LLM is.

Its so disappointing to read this.

Do you know how long it took us to get to this point? Massive compute, knowledge, alogorithm etc.

Why are you even on HN if the most modern and most impactful technologie leads you to say "i couldn't care less were its going'?

Just a few years ago there was not a single way of just solving image generation, music generation and chat bots which actually able to respond reasonable to you and that in different languages.

AlphaFold already helps society today btw.