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420 results for “adingbatponder”
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@stadtkind @edwtjo Thanks for the input. FYI this is my playbook for this #git #nixos #flake synch / reconciliation process when two flakes have deviated and you want to make them the same by using a repo, e.g. codeberg , as the single source of truth. The solution uses the branch main on the main computer which has the main flake that should be up to date always, & a branch on the other machine named after the machine. The other machine will always commit to its branch https://codeberg.org/adingbatponder/reticulum_nixos_flake/src/branch/main/docs/git-flake-reconciliation.md
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#NixOS out-of-tree #kernel module for #Apple #CirrusLogic #CS8409 #codec + #TAS5764L amp. The mainline #driver only supports Dell. The file below packages davidjo/snd_hda_macbookpro as a #Nix #derivation. Now the #sound on my old #imac running #linux #nixos seem to work. It did not work before. Tested on #iMac2017 27" (iMac18,x), kernel 6.17, #RadeonRX580. https://codeberg.org/adingbatponder/reticulum_nixos_flake/src/branch/main/packages/snd-hda-codec-cs8409-apple/default.nix Disclaimer: the solution was taken from the references cited in the default.nix file & implemented using #ClaudeCode.
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A #nixos #flake #part that lets a #grafana #dashboard be auto-added to any flake. Shows #psi #pressure #cgroups & #systemd processes.
https://codeberg.org/adingbatponder/reticulum_nixos_flake/src/branch/main/features/monitoring
(Handles existing #grafana installs: adds another #dashboard. Import tested on a few machines. Feedback or issue reports welcome.)
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Background:
for my #homelab I set up #suricata in #nixos and have a functioning #ids #intrusiondetection system with a #grafana dashboard (#flake info here https://codeberg.org/adingbatponder/reticulum_nixos_flake/src/commit/9ebc4cd68ba461b0baad990cbdd4a4ef50b57045/features/network-appliance/README.md ).
Preliminary plan:
I now want to go to and #ips #intrusionprevention system that blocks threats detected. Current plan is #nftables with #nfqueue but there is no GUI for that it seems, and it is a bit clunky and black-boxy.
Question: What are the more user-friendly options for an IPS front-end / GUI ?
Thanks! -
Made a transparent network bridge on #NixOS which sits between router & #LAN switch, monitoring traffic for #IDS #intrusiondetection , #Suricata and #Zeek capture and analyze packets → #Filebeat ships #logs → #Elasticsearch with #GeoIP ingest pipeline → #Grafana setup of dashboard to visualise data is defined in flake itself so using the flake will give the same dashboard. #flake details here https://codeberg.org/adingbatponder/reticulum_nixos_flake/src/branch/main/features/network-appliance
Hardware: HP EliteDesk 800 G1 SFF 16Gb RAM & https://www.jacob.de/produkte/Intel-Ethernet-Server-Adapter-I350-T4-I350T4V2-artnr-2094756.html #i350t4 -
#nixos boot error #gnome pop-up using #zenity that warns of boot errors, unless the error has already been classified by you as harmless the last time it appeared in the pop-up,
see #flake #module https://codeberg.org/adingbatponder/reticulum_nixos_flake/src/branch/main/modules/boot-error-notifications.nix
The errors are manually checked with #AI eg Claude before classifying them as irrelevant with a radio button & hiding them henceforth from appearing. If no boot errors, no pop-up. This #nixosaiflakehack was iteratively assisted by #claude . Spot bugs early when #tweakingflakes. -
#reticulum #rns in #nixos
A beta #flake that installs (amongst other things) #meshchat #reticulummeshchat and #nomadnet
https://codeberg.org/adingbatponder/reticulum_nixos_flake
#derivation #nixospackages
The flake was hammered out using chatGPT iteratively from a non-AI base flake. #reticulumnetworkstack #reticulumnetwork
See my take on the context and Why NixOS here: https://www.loramesh.org/#nixos -
#reticulum #rns in #nixos
A beta #flake that installs (amongst other things) #meshchat #reticulummeshchat and #nomadnet
https://codeberg.org/adingbatponder/reticulum_nixos_flake
#derivation #nixospackages
The flake was hammered out using chatGPT iteratively from a non-AI base flake. #reticulumnetworkstack #reticulumnetwork
See my take on the context and Why NixOS here: https://www.loramesh.org/#nixos -
#reticulum #rns in #nixos
A beta #flake that installs (amongst other things) #meshchat #reticulummeshchat and #nomadnet
https://codeberg.org/adingbatponder/reticulum_nixos_flake
#derivation #nixospackages
The flake was hammered out using chatGPT iteratively from a non-AI base flake. #reticulumnetworkstack #reticulumnetwork
See my take on the context and Why NixOS here: https://www.loramesh.org/#nixos -
#reticulum #rns in #nixos
A beta #flake that installs (amongst other things) #meshchat #reticulummeshchat and #nomadnet
https://codeberg.org/adingbatponder/reticulum_nixos_flake
#derivation #nixospackages
The flake was hammered out using chatGPT iteratively from a non-AI base flake. #reticulumnetworkstack #reticulumnetwork
See my take on the context and Why NixOS here: https://www.loramesh.org/#nixos -
#reticulum #rns in #nixos
A beta #flake that installs (amongst other things) #meshchat #reticulummeshchat and #nomadnet
https://codeberg.org/adingbatponder/reticulum_nixos_flake
#derivation #nixospackages
The flake was hammered out using chatGPT iteratively from a non-AI base flake. #reticulumnetworkstack #reticulumnetwork
See my take on the context and Why NixOS here: https://www.loramesh.org/#nixos -
A #nixos #flake that builds a #derivation that #package & install #nomadnet 0.1.0 & #meshchat 1.1.0 from #github python source code. For #reticulum #network. This is a beta work in progress, done using chatGPT iteratively, and is my first attempt at packaging something for nixos. Time will tell if this holds up. Uses python #setuptools & #buildPythonPackage
#lxmf ver 0.8.0
#rns ver 1.0.0 https://codeberg.org/adingbatponder/reticulum_nixos_flake#nixospackages This is experimental and beta - see readme file for issues
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@adingbatponder We offer a #perk to support #sonomotors campaign: give away 175 #micromobility sets at completion of #savesion to 50+% down payers. No-winners receive a 35% discount. Idea: to be at least micro-mobile until Sion is delivered! SET = foldable scooter 🛴 + MagDock™︎ wireless⚡️docking station: all-concrete 0.2 kW charger powered by magnetizable concrete from recycled materials for a seamless charging experience by @magment.
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@UrbanCityCowboy I earnestly beg those involved to keep the code easily findable on github. Maximum exposure. No need to accept PRs. Just show it there. Reticulum in radio mesh form (like https://loramesh.org ) relies on *quantity* of users and making things even harder than they already are is a tragic turn in my view in that mission. #reticulum is really getting traction and this would just remove it from view as deliberate policy. I fail to see the cost of staying, or advantage of leaving.
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This says https://rns.recipes/forum/general/re-discontinuing-the-github-mirror #reticulum code is to be taken off #github or IP based repos. I was not able to join the discussion - was locked. Just wanted to say that github is the reference location for code (a shame, but still fact), and that I am using #radicle as a robust meshed git repo system & #codeberg so no sheep. As mirror repo codeberg/github are ok locations just to get it out & get bootstrapped. To only get the #RNS code over #rngit reticulum itself seem not beginner-friendly.
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This says https://rns.recipes/forum/general/re-discontinuing-the-github-mirror #reticulum code is to be taken off #github or IP based repos. I was not able to join the discussion - was locked. Just wanted to say that github is the reference location for code (a shame, but still fact), and that I am using #radicle as a robust meshed git repo system & #codeberg so no sheep. As mirror repo codeberg/github are ok locations just to get it out & get bootstrapped. To only get the #RNS code over #rngit reticulum itself seem not beginner-friendly.
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This says https://rns.recipes/forum/general/re-discontinuing-the-github-mirror #reticulum code is to be taken off #github or IP based repos. I was not able to join the discussion - was locked. Just wanted to say that github is the reference location for code (a shame, but still fact), and that I am using #radicle as a robust meshed git repo system & #codeberg so no sheep. As mirror repo codeberg/github are ok locations just to get it out & get bootstrapped. To only get the #RNS code over #rngit reticulum itself seem not beginner-friendly.
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This says https://rns.recipes/forum/general/re-discontinuing-the-github-mirror #reticulum code is to be taken off #github or IP based repos. I was not able to join the discussion - was locked. Just wanted to say that github is the reference location for code (a shame, but still fact), and that I am using #radicle as a robust meshed git repo system & #codeberg so no sheep. As mirror repo codeberg/github are ok locations just to get it out & get bootstrapped. To only get the #RNS code over #rngit reticulum itself seem not beginner-friendly.
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This says https://rns.recipes/forum/general/re-discontinuing-the-github-mirror #reticulum code is to be taken off #github or IP based repos. I was not able to join the discussion - was locked. Just wanted to say that github is the reference location for code (a shame, but still fact), and that I am using #radicle as a robust meshed git repo system & #codeberg so no sheep. As mirror repo codeberg/github are ok locations just to get it out & get bootstrapped. To only get the #RNS code over #rngit reticulum itself seem not beginner-friendly.
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@geerlingguy Nice video Jeff. #bambu #bambulab #3dprinting #3dprinter is OFF my Xmas list list for ever.
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#Asus #UX325E #laptop switches off suddenly and without warning shortly after boot even when plugged into external power. Logs show no prior errors so the machine boots and boom off it switches itself. Did you ever get this? (A 40s power button press seems to have cured it for now, just wondering if this is a know and common problem.) How does one on that machine on Windows show the battery level?
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Can anyone point me to a serious #OCR /document-reading stack that actually works?
I’m not looking for Tesseract/OCRmyPDF/Paperless/Stirling-style OCR. I’m looking for self-hostable vision-language OCR or document AI: printed documents only, no handwriting, but strong on bad scans, tables, columns, forms and layout. Hardware is negotiable; accuracy is not.
Is there a known model/server/pipeline/GPU setup approaching ChatGPT/Claude OCR, or is this becoming another cloud API/token lock-in?
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Can anyone point me to a serious #OCR /document-reading stack that actually works?
I’m not looking for Tesseract/OCRmyPDF/Paperless/Stirling-style OCR. I’m looking for self-hostable vision-language OCR or document AI: printed documents only, no handwriting, but strong on bad scans, tables, columns, forms and layout. Hardware is negotiable; accuracy is not.
Is there a known model/server/pipeline/GPU setup approaching ChatGPT/Claude OCR, or is this becoming another cloud API/token lock-in?
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Can anyone point me to a serious #OCR /document-reading stack that actually works?
I’m not looking for Tesseract/OCRmyPDF/Paperless/Stirling-style OCR. I’m looking for self-hostable vision-language OCR or document AI: printed documents only, no handwriting, but strong on bad scans, tables, columns, forms and layout. Hardware is negotiable; accuracy is not.
Is there a known model/server/pipeline/GPU setup approaching ChatGPT/Claude OCR, or is this becoming another cloud API/token lock-in?
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Can anyone point me to a serious #OCR /document-reading stack that actually works?
I’m not looking for Tesseract/OCRmyPDF/Paperless/Stirling-style OCR. I’m looking for self-hostable vision-language OCR or document AI: printed documents only, no handwriting, but strong on bad scans, tables, columns, forms and layout. Hardware is negotiable; accuracy is not.
Is there a known model/server/pipeline/GPU setup approaching ChatGPT/Claude OCR, or is this becoming another cloud API/token lock-in?
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Can anyone point me to a serious #OCR /document-reading stack that actually works?
I’m not looking for Tesseract/OCRmyPDF/Paperless/Stirling-style OCR. I’m looking for self-hostable vision-language OCR or document AI: printed documents only, no handwriting, but strong on bad scans, tables, columns, forms and layout. Hardware is negotiable; accuracy is not.
Is there a known model/server/pipeline/GPU setup approaching ChatGPT/Claude OCR, or is this becoming another cloud API/token lock-in?
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Is there no #FOSS #OCR site as good as what the big tech cos can offer with their LLM and VLM tools which are charged for or read your data? Is FOSS in any way making headroads into #FOSSLLMmodels #fossvlmmodels ?
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Is there no #FOSS #OCR site as good as what the big tech cos can offer with their LLM and VLM tools which are charged for or read your data? Is FOSS in any way making headroads into #FOSSLLMmodels #fossvlmmodels ?
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Is there no #FOSS #OCR site as good as what the big tech cos can offer with their LLM and VLM tools which are charged for or read your data? Is FOSS in any way making headroads into #FOSSLLMmodels #fossvlmmodels ?