Fazebooking

I keep in mind that even ChatGPT was unthinkable a few years ago and made a massive jump on human to computer communication and generic tasks resolve.

I also add interpolation to this.

Thats only the case with KV Cache and we do not know how and how long providers keep it.

The good journalists are not and they are the ones getting raided...

Bigger context makes responses slower.

Context is limited.

You do not want the cloud provider running a context compaction if you can control it a lot better.

There are even tips on when to ask the question like "send first the content then ask the question" vs. "ask the question then send the content"

Sounds off to me tbh.

Were your table is stored shouldn't matter that much if you have proper indezes which you need and if you change anything, your db is rebuilding the indezes anyway

Interesting, i would not expect this at all tbh.

I open the window.

Any chance you can share a picture of the size of your room and amount of plants and type of plants?

I have a co2 device which gets red and this triggers the window opening for me asap

Not in the same timeframe. My experiments take an hour.

For me its getting clear that there is so much broad ways of continues improvement, and constant speed, that if this continues like this, even a basic LLM can do a lot of jobs.

Just today cursor released a blog were they run an agent for a week and it build a browser.

Claude Code with subagents and hooks are really good too.

And it takes time to just get it and roll it out to everyone, it takes time to do research, experiments, it takes time to install GPUs and make them etc.

We are currently only limited by things we can progress on.

I know what app builders are but she talked to a computer system, told it what she wanted and it WALKED HER through all the steps and i think she used android studio.

She did all of this in a few hours and doesn't work with computers.

Thats def not the same though.

Trump doesn't take the normal route as any other president did.

Of course with his second term, at least people can't complain how he interacts with your ex allies like us germany. Thats fair to do, shitty and short viewed but hey.

But certain things like his fraud coins etc. this is bluntly illegal and he did not do this shit in his first term.

It might be just different viewpoints people don't understand?

I'm advocating for spending time with AI because it works already good enough and it continues to progress surprisingly fast. Unexperienced fast for me tbh.

If i say "AI is great" i also know when AI is also stupid but i'm already/stil so impressed that i can transform basic text into working go/java whatever code, that i accept that its not perfect just because I highly appreciate how fast we got this.

And it feels weird too tbh. It doesn't feel special to talk to an LLM and get code back somehow while this was unthinkable just a few years back.

Somethimes it likes you just forget about all these facts and have to remind yourself that this is something new.

I'm an architect and have 20 years of experience.

I have seen production databases reachable from the internet with 8 character password and plenty others.

But my particular point is only about the readability of code from others.

1) no one cares if it works. No one cared before how your code looked as long as you are not a known and well used opensource project.

2) there are plenty of services which do not require state or login and can't be hacked. So still plenty of use cases you can explore. But yes i do agree that Security for production live things are still the biggest worry. But lets be honest, if you do not have a real security person on your team, the shit outthere is not secure anyway. Small companies do not know how to build securely.

I vibe coded a few ideas i had in my mind for a while. My basic stack is html, single page, local storage and lightweight js.

It is really good in doing this.

those ideas are like UI experiments or small tools helping me doing stuff.

Its also super great in ELI5'ing anything

Its still not a Hype, its still crazy what is possible today and we still have no clear at all if this progress continues as it does or not with the implication, that if it continues, it has major implications.

My wife, who has no clue about coding at all, chatgpted a very basic android app only with guidance of chatgpt. She would never ever been able to do this in 5 hours or so without my guidance. I DID NOT HELP HER at all.

I'm 'vibecoding' stuff small stuff for sure, non critical things for sure but lets be honest, i'm transforming a handfull of sentences and requirements into real working code, today.

Gemini 3 and Claude Opus 4.5 def feel better than their prevous versions.

Do they still fail? Yeah for sure but thats not the point.

The industry continues to progress on every single aspect of this: Tooling like claude CLI, Gemini CLI, Intellij integration, etc., Context length, compute, inferencing time, quality, depth of thinking etc. there is no current plateau visible at all.

And its not just LLMs, its the whole ecosystem of Machine Learning stuff: Highhly efficient weather model from google, Alpha fold, AlphaZero, Roboticsmovement, Environment detection, Image segmentation, ...

And the power of claude for example, you will only get with learning how to use it. Like telling it your coding style, your expectations regarding tests etc. We often assume, that an LLM should just be the magic work collegue 10x programmer but its everything an dnothing. If you don't communicate well enough it is not helpful.

And LLMs are not just good in coding, its great in reformulating emails, analysing error messages, writing basic SVG files, explaining kubernetes cluster status, being a friend for some people (see character.ai), explaining research paper, finding research, summarizing text, the list is way to long.

Alone 2026 there will go so many new datacenters live which will add so much more compute again, that the research will continue to be faster and more efficient.

There is also no current bubble to burst, Google fights against Microsoft, Antrophic and co. while on a global level USA competets with China and the EU on this technology. The richest companies on the planet are investing in this tech and they did not do this with bitcoins because they understod that bitcoin is stupid. But AI is not stupid.

Or Machine learing is not stupid.

Do not underestimate the current status of AI tools we have, do not underestimate the speed, continues progress and potential exponential growth of this.

My timespan expecation for obvious advancments in AI is 5-15 years. Experts in this field predict already 2027/2030.

But to iterate over this: a few years ago no one would have had a good idea how we could transform basic text into complex code in such a robust way, which such diverse input (different language, missing specs, ...) . No one. Even 'just generating a website'.