Jan Lukavský @janl_apache

Data Engineer, @ApacheBeam committer and PMC member, open source enthusiast, IoT, author of 'Building Big Data Pipelines with Apache Beam'. #streamingdata Joined December 2021

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Jan Lukavský @janl_apache

3 months ago

An idea on the Fermi paradox: When a civilization reaches the phase of exponential (technological) growth, it quickly loses the ability to understand the world, starts voting for populists and decays. Are we living it?

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Andrew Ng @AndrewYNg

10 months ago

A small number of people are posting text online that’s intended for direct consumption not by humans, but by LLMs (large language models). I find this a fascinating trend, particularly when writers are incentivized to help LLM providers better serve their users! People who post…

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Jan Lukavský @janl_apache

10 months ago

Can #streamprocessing supersede the performance of relational databases? Yes, it can! ♥️

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Jan Lukavský @janl_apache

11 months ago

Great, the @ApacheCon EU videos are out. ♥️ Here is one where I tried to explain how to use #streamprocessing to get ACID transactions out of virtually any eventually consistent database. I'd love to hear any comments or ideas on this! youtube.com/watch?v=UPSLVc…

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Apache Beam @ApacheBeam

a year ago

Cruise scales autonomous driving with Apache Beam, managing petabytes of data monthly! 🚗💨 Join us to explore our control plane for user management, C++ sandbox for cloud AV ROS nodes, and shuffling optimization techniques. #BeamSummit #ApacheBeam beamsummit.org

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François Chollet @fchollet

a year ago

Another paper pointing out in details what we've known for a while: LLMs (used via prompting) cannot make sense of situations that substantially differ from the situations found in their training data. Which is to say, LLMs do not possess general intelligence to any meaningful…

martin_casado @martin_casado

a year ago

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hubert dulay @hkdulay

a year ago

My second book is published! “Streaming Databases” Unifying Batch and Stream Processing. Putting the database back together, @martinkl . #streamingprocessing learning.oreilly.com/library/view/-…

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Jan Lukavský @janl_apache

a year ago

All set! My bus to Bratislava is only 90 minutes late, time for some final polishing of the slides for Tuesday, but I'm already excited to be part of @ApacheCon EU! Who am I gonna meet there? 🙋‍♂️🙂

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Jan Lukavský @janl_apache

a year ago

Kafka is not a database. Kafka is commit-log. Databases use commit-logs for being able to reconstruct themselves to a consistent state => Kafka can be used to reconstruct a database. In the limit case, Kafka can serve as a database. But is not a database. 🫠

Stanislav Kozlovski @BdKozlovski

a year ago

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Jan Lukavský @janl_apache

a year ago

OK, this is funny. 😄 But, current "AI" is merely a function. Complex one, right. But how can 'sin(x)' be "safe" on "unsafe"? It is about how people use it. And we should already have laws for that. 🤷‍♂️

Zack Bornstein @ZackBornstein

a year ago

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Kubernetes @kubernetesio

a year ago

We're back! Sorry for the interruption. It turns out they don't let 10 year olds have X accounts. But we hope you'll all celebrate our 10th birthday with us! 🎂 kubertenes.cncf.io

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Jan Lukavský @janl_apache

a year ago

Oh my. Sounds pretty much like duck typing to me. Please let's not turn Java into Python. 🙏 youtube.com/watch?v=_afECX…

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Jan Lukavský @janl_apache

a year ago

I really think people *should* pick the right tools. But what I personally think would be the most benecial? If one could make this decision at runtime, not at implementation time.

Matthias J. Sax 🦦 @MatthiasJSax

a year ago

I really think people *should* pick the right tools. But what I personally think would be the most benecial? If one could make this decision at runtime, not at implementation time.

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Jan Lukavský @janl_apache

a year ago

While people are designing systems for 4 9s, there are still companies voluntarily shutting down their systems for two consecutive days. Fascinating. @Ceskasporitelna

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Jan Lukavský @janl_apache

a year ago

Here is an idea. What we call 'consciousness' can be rephrased as the 'inability to return back in time'. Every input to a living brain changes it forever. As opposed to 'functions' which return same values for same inputs. Always. Wrong? @ylecun

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Jan Lukavský @janl_apache

2 years ago

I just got confirmation that my session "Enhancing Flexibility and Productivity with Access Patterns and Storage-Agnostic Abstractions" has been accepted for @ApacheCon EU 2024. Thanks guys, I'm absolutely excited to be part of this great event!

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Brian Roemmele @BrianRoemmele

2 years ago

This is perhaps one of the most important charts on AI for 2024. It was built by the amazing researcher team at @CathieDWood’s @ARKInvest. We can see the rise of open source local models are on the path to overtake massive (and expensive) cloud based closed models.