Linux Inlaws

Linux Inlaws

By Linux Inlaws
Download on the App Store

Linux Inlaws episodes

  • HPR3379: Linux Inlaws S01E34: The one with the intelligence

    In this fourth part of our three-part miniseries on Deep and Machine Learning our two heroes shed some
    light on a DL architecture called Generative Pre-Trained Transformer (GPT), a pretty sophistic piece
    of software that fools most humans when it comes to authoring text (ideal for budding writers with
    a block in place). Other topics of discussion includes OpenAI (the company behind this framework),
    Elon Musk, Bitcoin, Microsoft and if the GPT can actually pass the Turing test. All will be revealed -
    don't miss this episode!

    Links:
    • OpenAI: https://openai.com
    • GPT: https://openai.com/projects
    • The Turing Test: https://en.wikipedia.org/wiki/Turing_test
    • GPT-2 source code: https://github.com/openai/gpt-2
    • GPT meta-progamming: https://www.lesswrong.com/posts/zZLe74DvypRAf7DEQ/meta-programming-gpt-a-route-to-superintelligence
    • GPT-3 interview: https://www.youtube.com/watch?v=PqbB07n_uQ4
    • DSDS: https://en.wikipedia.org/wiki/Deutschland_sucht_den_Superstar
    • GPT-3 sample 1: https://linuxinlaws.eu/files/padawans.txt
    • GPT-3 sample 2: https://linuxinlaws.eu/files/HGttG.txt
      • 48 min
    • HPR3369: Linux Inlaws S01E33: The Return of the Rust

      In this episode - aptly named "The return of the Rust" our two heroes host

      a very special guest: no other than Steve Klabnik of Rust fame himself.
      Needless to say, this hipster programming language which is on everbody's mind
      at the moment (apart maybe from a few lost souls still crying over spilled
      coffee) plays a very important role in this show in addition to the newly
      founded Rust Foundation hosting such eclectic members such as Microsoft,
      Mozilla, Google and Facebook just to name a few looking after the language.

      Links:
      • Rust: https://www.rust-lang.org
      • Rust Foundation: https://foundation.rust-lang.org
      • Steve Klabnik: https://steveklabnik.com
      • Ruby on Rails: https://rubyonrails.org
      • PyOxidizer: https://github.com/indygreg/PyOxidizer
      • Mercurial: https://www.mercurial-scm.org
      • actix controversy: https://github.com/actix/actix-web/issues/289
      • OpenSearch: https://aws.amazon.com/blogs/opensource/introducing-opensearch
        • 1 hr 7 min
      • HPR3359: Linux Inlaws S01E32: Politicians and artificial intelligence part 3

        In part three of the 27.64 episodes long mini-series on artificial intelligences, machine and deep learning

        and other hipster topics around machines trying to imitate humans (marketing made us do these :-), our
        two heroes discuss domain-specific frameworks on top of (more generic) infrastructure like TensorFlow or PyTorch.
        As usual, all will be revealed and no details be spared (apart from a very few) including how to
        tell animals apart from humans (a tricky feat as any journalist can tell you who's ever faced a
        stampeding horde of angry politicians!).

        Links:
        • Keras: https://keras.io
        • Image recognition in Keras: https://keras.io/examples/vision/image_classification_from_scratch
        • Facial recognition using convolutional neural networks (CNN): https://www.sitepoint.com/keras-face-detection-recognition
        • PETA: https://www.peta.org
        • User recognition based on mouse movements and deep learning: https://www.acta.sapientia.ro/acta-info/C12-1/info12-1-3.pdf
        • Comparison of deep learning software: https://en.wikipedia.org/wiki/Comparison_of_deep-learning_software
        • Apache's mxnet: https://mxnet.apache.org/versions/1.8.0
        • Classification with deep belief networks: https://www.ki.tu-berlin.de/fileadmin/fg135/publikationen/Hebbo_2013_CDB.pdf
        • scikit-learn: https://scikit-learn.org/stable
        • Life on Mars: https://www.bbc.co.uk/lifeonmars/index_non_flash.shtml
        • Limitless: https://www.imdb.com/title/tt1219289/?ref_=fn_al_tt_1
          • 50 min
        • HPR3349: Linux Inlaws S01E31: Interview with Paul Ramsey FOSS aficionado and entrepreneur

          In this episode the inlaws host Paul Ramsey of OpenGeo fame. Apart from his PostgreSQL contributions,
          Paul is probably best known for GIS work and geo DB contributions in general (in addition to
          off-the-beaten track stuff like URL of his website among other things). Don't miss this for nuggets
          on geo databases and beyond!

          Links:
          • Paul Ramsey: https://blog.cleverelephant.ca/
          • PostgreSQL: https://www.postgresql.org
          • PostGIS: https://postgis.net
          • FOSS4G 2019: https://www.youtube.com/watch?v=NQ5_NnrBHjo
            • 1 hr 8 min
          • HPR3339: Linux Inlaws S01E30: Politicians and artificial intelligence part 2

            After successfully navigating through the shallow (or not-so-shallow) depths of the first episode on deep learning fundamentals, our two heroes tackle a more concrete topic in this episode: How to use the damn stuff! No expenses will be spared to bring to the listeners the finer details of tensors, TensorFlow and other frameworks which serve as the basis for modern artificial intelligence / machine learning applications running on back-propagation networks (see the first episode on the foundations). Lifting the curtain even more, all will be revealed about a little corner shop called "Google" (well, almost all :-).

            Links:
            • Torch: https://torch.ch
            • PyTorch: https://pytorch.org
            • TensorFlow: https://www.tensorflow.org
            • Lua: https://www.lua.org
            • BigTable: https://en.wikipedia.org/wiki/Bigtable
            • BigFS: https://en.wikipedia.org/wiki/Google_File_System
            • Google's inner workings: https://www.panmacmillan.com/authors/david-a-vise/the-google-story/9781509889211
            • TPUs: https://en.wikipedia.org/wiki/Tensor_Processing_Unit
            • More DL frameworks: https://en.wikipedia.org/wiki/Comparison_of_deep-learning_software
            • TIOBE index: https://www.tiobe.com/tiobe-index
            • Stackoverflow survey: https://insights.stackoverflow.com/survey/2020
              • 1 hr
            • HPR3329: Linux Inlaws S01E29: The (one and only) Linux Kernel Contributor Panel

              In this episode, our two ageing heroes host an eclectic panel of kernel

              contributors of a small, mostly unknown operating system called "Linux".
              The panelists hail from all over the planet (sadly, no money or love would
              buy Richard's or Linus' way onto that panel :-) but the discussion proves
              more than interesting regardless of these uber-nerds being absent. All
              will be revealed including the true age of Linux, one of Chris' secret
              obsessions (hint: it's not software bugs), Linus Torvald's thought process
              and evolution as such. Never mind Linux's second future high-level
              programming language... Plus: a philosophical discussion of the social
              impact of insulting from a pan-cultural perspective. Don't miss out on
              this!

              Links:
              • Linux Kernel Archives: https://www.kernel.org
              • Device Tree System documentation: https://www.kernel.org/doc/html/latest/devicetree/usage-model.html
              • Linux BDFL: https://torvalds-family.blogspot.com
              • Linux kernel police: https://www.youtube.com/watch?v=zOcwNm7sqlw
              • MythBusters: https://www.imdb.com/title/tt0383126
              • Conflict Resolution Network: https://www.crnhq.org
              • Sage Sharp (left the project due to the nature of Linus' comments): https://sage.thesharps.us
                • 1 hr 27 min
              • HPR3319: Linux Inlaws S01E28: Politicians and artificial intelligence part 1

                In this episode, our two heroes explore the realm of artificial intelligence, paying special attention to deep learning (hoping that some

                of the stuff may rub on them :-). In this first part of a three-part mini-series the chaps discuss the foundation including networks, neurons
                and other topics of advanced black magic, carefully avoiding the temptations of introducing too much maths (we'll leave this to the Grumpy Old Coders :-).

                Links:
                • Artificial intelligence: https://en.wikipedia.org/wiki/Artificial_intelligence
                • Machine learning: https://www.mygreatlearning.com/blog/machine-learning-tutorial
                • Deep learning: https://www.guru99.com/deep-learning-tutorial.html
                • Artificial neural networks (ANN): https://www.asimovinstitute.org/neural-network-zoo
                • Back-propagation ANNs (BPN): https://en.wikipedia.org/wiki/Backpropagation
                • DWAVE: https://www.dwavesys.com/quantum-computing
                • Convolutional neural networks (CNNs): https://en.wikipedia.org/wiki/Convolutional_neural_network
                • Generative adversarial network (GAN): https://en.wikipedia.org/wiki/Generative_adversarial_network
                • Spy vs. Spy: https://toonopedia.com/spyvsspy.htm
                • Atlantik Ale: https://www.stoertebeker.com/stoertebeker-atlantik-ale.html
                  • 1 hr 10 min
                • HPR3309: Linux Inlaws S01E27: The Big Uncertainties in Life and beyond

                  In this episode, our two heroes explore the realm of the great uncertainties also known as probabilistic data structures. For this adventures they managed to retain one of the experts in this field from the open source realm. Check out the episode to get in on this secret and its details!

                  Links:
                  • Probabilistic data structures (PDS): https://en.wikipedia.org/wiki/Category:Probabilistic_data_structures
                  • Hash functions: https://en.wikipedia.org/wiki/Hash_function
                  • Bloom / cuckoo filters: https://bdupras.github.io/filter-tutorial
                  • Scalable Bloom filter: https://www.waitingforcode.com/big-data-algorithms/scalable-bloom-filter/read
                  • redis module: https://oss.redislabs.com/redisbloom
                  • HyperLogLog: https://en.wikipedia.org/wiki/HyperLogLog
                  • PDS Foundation: https://www.amazon.de/Probabilistic-Data-Structures-Algorithms-Applications/dp/3748190484
                    • 1 hr
                  • HPR3299: Linux Inlaws S01E26: Make your Linux harder

                    In this episode our two aging heroes discuss the proper temperature to

                    drink beer at (spoiler: it's not 20 degrees as CAMRA would make you believe)
                    and the ins and outs of basic and enhanced security on our beloved operating
                    system. If you ever wanted to know more about Linux Security Modules, AppArmor
                    and SELinux and how dames of negotiable affections relate to these concepts,
                    this show is for you.

                    Shownotes:
                    • Campaign for Real Ale: https://camra.org.uk/
                    • Linux Security Modules: https://en.wikipedia.org/wiki/Linux_Security_Modules
                    • SELinux: https://selinuxproject.org/page/Main_Page
                    • SELinux on Android: https://source.android.com/security/selinux
                    • AppArmor: https://gitlab.com/apparmor/apparmor/-/wikis/Documentation
                    • RBAC with AppArmor: https://gitlab.com/apparmor/apparmor/-/wikis/AppArmorRBAC
                    • Plan 9: https://9p.io/plan9
                    • Plan 9 from Outer Space: https://www.imdb.com/title/tt0052077
                    • Man down: https://www.imdb.com/title/tt2461520/?ref_=fn_tt_tt_2
                    • The Midnight Gospel: https://www.netflix.com/de-en/title/80987903
                      • 53 min
                    • HPR3288: Linux Inlaws S01E25: The Grumpy Old Coders

                      This time our two heroes host an eclectic couple known as the grumpy old coders. Thomas, David, Martin and Chris
                      discuss stealing, um, borrowing (and never giving back) of mottos and mascotts, programming languages including
                      Java, Python and Rust woes and how they all arrived at podcasting. Never mind Chris revealing his true and
                      only heritage and other little-known secrets. Don't miss out on this episode for the full lowdown (never mind
                      the even lower down .

                      Shownotes:
                      • Grumpy Old Coders: https://grumpy-old-coders.org
                      • The Dig: https://www.netflix.com/de-en/title/81167887
                      • Oktoberfest: https://www.oktoberfest.de/en
                      • Erdinger Herbstfest (in German only): https://de.wikipedia.org/wiki/Erdinger_Herbstfest
                      • F#: https://fsharp.org
                      • Vulkan API: https://www.khronos.org/vulkan
                        • 1 hr 3 min

                      About Linux Inlaws

                      From the publisher's feed

                      A podcast about free and open source software, communism and the revolution