Andreas Fritzler アンドレアス

Platform Guy | Data Jedi | #Kubernetes #Container and #BigData Expert | #MachineLearning Enthusiast | Opinions are my own | @SAP @GardenerProject | 🥋🚴‍♂️

[Andreas Fritzler アンドレアス @afritzler]

“Never attribute to malice that which can be adequately explained by stupidity.”

-- Hanlon's Razor

[Bill Clerico @billclerico]

Claude Code is Farmville for 40 year old former software engineers

[Andreas Fritzler アンドレアス @afritzler]

Running Self-Hosted LLMs on Kubernetes: A Complete Guide https://t.co/OO07aaHi8m

[Jaana Dogan ヤナ ドガン @rakyll]

What separates good engineers from great engineers is that great engineers can see the future (consistently).

[Andreas Fritzler アンドレアス @afritzler]

Building a 1 Million Node Kubernetes Cluster 🤯 What a great read 🫡 https://t.co/obgJW8P9BD

[Andreas Fritzler アンドレアス @afritzler]

This is gold 🥇 - The STUPID Manifesto: Maximizing Shareholder Value! https://t.co/64CTuoKmNC

[Andreas Fritzler アンドレアス @afritzler]

@nixcraft if err != nil

[Ruben Hassid @rubenhassid]

BREAKING: Apple just proved AI "reasoning" models like Claude, DeepSeek-R1, and o3-mini don't actually reason at all.

They just memorize patterns really well.

Here's what Apple discovered:

(hint: we're not as close to AGI as the hype suggests)

[Andreas Fritzler アンドレアス @afritzler]

バララララ 🇩🇪 #ESC25 #Eurovision2025 #Germany

[Andrew Ng @AndrewYNg]

Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, “It is far more likely that the programming occupation will become extinct [...] than that it will become all-powerful. More and more, computers will program themselves.”​ Statements discouraging people from learning to code are harmful!

In the 1960s, when programming moved from punchcards (where a programmer had to laboriously make holes in physical cards to write code character by character) to keyboards with terminals, programming became easier. And that made it a better time than before to begin programming. Yet it was in this era that Nobel laureate Herb Simon wrote the words quoted in the first paragraph. Today’s arguments not to learn to code continue to echo his comment.

As coding becomes easier, more people should code, not fewer!

Over the past few decades, as programming has moved from assembly language to higher-level languages like C, from desktop to cloud, from raw text editors to IDEs to AI assisted coding where sometimes one barely even looks at the generated code (which some coders recently started to call vibe coding), it is getting easier with each step.

I wrote previously that I see tech-savvy people coordinating AI tools to move toward being 10x professionals — individuals who have 10 times the impact of the average person in their field. I am increasingly convinced that the best way for many people to accomplish this is not to be just consumers of AI applications, but to learn enough coding to use AI-assisted coding tools effectively.

One question I’m asked most often is what someone should do who is worried about job displacement by AI. My answer is: Learn about AI and take control of it, because one of the most important skills in the future will be the ability to tell a computer exactly what you want, so it can do that for you. Coding (or getting AI to code for you) is a great way to do that.

When I was working on the course Generative AI for Everyone and needed to generate AI artwork for the background images, I worked with a collaborator who had studied art history and knew the language of art. He prompted Midjourney with terminology based on the historical style, palette, artist inspiration and so on — using the language of art — to get the result he wanted. I didn’t know this language, and my paltry attempts at prompting could not deliver as effective a result.

Similarly, scientists, analysts, marketers, recruiters, and people of a wide range of professions who understand the language of software through their knowledge of coding can tell an LLM or an AI-enabled IDE what they want much more precisely, and get much better results. As these tools are continuing to make coding easier, this is the best time yet to learn to code, to learn the language of software, and learn to make computers do exactly what you want them to do.

[Original text: https://t.co/HdI3Jb9HmF ]

[Vic 🌮 @VicVijayakumar]

Rust are Go are fascinating because between the two, Go is the language of choice for people who build things and Rust is the language of choice for people who like to spend their time talking about how Rust is the better choice.

[ahmet alp balkan @ahmetb]

New article on my blog explaning all the ways Kubernetes will evict your workloads. (spoiler: there are so many!).
Eviction modes here absolutely essential to know if you're operating Kubernetes in a serious production setting.

[Andreas Fritzler アンドレアス @afritzler]

Just tried Mistral AI's Le Chat and I'm blown away! 🚀 It's not only incredibly awesome but also super fast compared to its competitors. Game changer! 🇫🇷#LeChat #MistralAI #AIrevolution

[Andreas Fritzler アンドレアス @afritzler]

Understanding Reasoning LLMs - great read 🙏 https://t.co/aBlUGT2lcC

[ahmet alp balkan @ahmetb]

The most impressive technical feat at #KubeCon this year by far was the Gödel scheduler by ByteDance.

A completely different scheduler design with sharding and optimistic concurrency achieving 2,000 pods/sec.

Blog: https://t.co/fb9tM38MsF
Talk: https://t.co/lPgD7lv4ge

[ahmet alp balkan @ahmetb]

👉 We've now published a blog about how we run stateful apps with a generic operator on Kubernetes. Read here: https://t.co/JIOO5lQAnm.

[Andreas Fritzler アンドレアス @afritzler]

Attacking UNIX Systems via CUPS, Part I https://t.co/P9SNh8UsIF

[ahmet alp balkan @ahmetb]

I wrote a blog about some pitfalls we've learned generating Kubernetes Custom Resources with `controller-gen` over the years, and how to do more rigid validation and defaulting with it.
https://t.co/Y8g9p6LUd3

[Andreas Fritzler アンドレアス @afritzler]

This 👇

[memenetes @memenetes]

When everybody else is an ArgoCD fan, but you still use Flux

[memenetes @memenetes]

won't somebody please think of the children

[Yann LeCun @ylecun]

If you are a student or academic researcher and want to make progress towards human-level AI:
>>>DO NOT WORK ON LLMs<<<

LLMs are an off ramp.
Thousands of engineers are working on LLMs with enormous computing resources.
The only way you could possibly contribute is by analyzing existing LLMs and showing their power and limitations.
But it's more fun and impactful to come up with new ideas and new architectures and show that they might work, even on small problems.