#smart-home — Public Fediverse posts

Meta Muse Gadgets is an open-source project that lets makers build Muse AI hardware, with ESP32 firmware, a Linux SDK, and a free dongle.

#Meta #MuseGadgets #MuseAI #OpenSource #ESP32 #AIHardware #SmartHome #MuseHomeLink

https://securityonline.info/meta-muse-gadgets/?utm_source=mastodon&utm_medium=jetpack_social

Meta Muse Gadgets is an open-source project that lets makers build Muse AI hardware, with ESP32 firmware, a Linux SDK, and a free dongle.

#Meta #MuseGadgets #MuseAI #OpenSource #ESP32 #AIHardware #SmartHome #MuseHomeLink

https://securityonline.info/meta-muse-gadgets/?utm_source=mastodon&utm_medium=jetpack_social

Meta Muse Gadgets is an open-source project that lets makers build Muse AI hardware, with ESP32 firmware, a Linux SDK, and a free dongle.

#Meta #MuseGadgets #MuseAI #OpenSource #ESP32 #AIHardware #SmartHome #MuseHomeLink

https://securityonline.info/meta-muse-gadgets/?utm_source=mastodon&utm_medium=jetpack_social

Meta Muse Gadgets is an open-source project that lets makers build Muse AI hardware, with ESP32 firmware, a Linux SDK, and a free dongle.

#Meta #MuseGadgets #MuseAI #OpenSource #ESP32 #AIHardware #SmartHome #MuseHomeLink

https://securityonline.info/meta-muse-gadgets/?utm_source=mastodon&utm_medium=jetpack_social

Loewe bringt einen Kaffeevollautomaten – für 5.000 Euro

https://fed.brid.gy/r/https://stadt-bremerhaven.de/loewe-bringt-einen-kaffeevollautomaten-fuer-5-000-euro/

Loewe bringt einen Kaffeevollautomaten – für 5.000 Euro

https://fed.brid.gy/r/https://stadt-bremerhaven.de/loewe-bringt-einen-kaffeevollautomaten-fuer-5-000-euro/

I’m Building a Smart Home Without the Cloud

https://watch.linuxrenaissance.com/w/1Kay4GY7SJN967TspRA2pA

I’m Building a Smart Home Without the Cloud

https://watch.linuxrenaissance.com/w/1Kay4GY7SJN967TspRA2pA

Dinge per Mausklick oder App abzuschalten gfälltmer 😊

Und Zwift braucht deutlich weniger Strom beim Training als befürchtet.

Ungefähr 10-30% von dem, was man gerade an Watt tritt.

#HomeAssistant #Smarthome

Dinge per Mausklick oder App abzuschalten gfälltmer 😊

Und Zwift braucht deutlich weniger Strom beim Training als befürchtet.

Ungefähr 10-30% von dem, was man gerade an Watt tritt.

#HomeAssistant #Smarthome

Dinge per Mausklick oder App abzuschalten gfälltmer 😊

Und Zwift braucht deutlich weniger Strom beim Training als befürchtet.

Ungefähr 10-30% von dem, was man gerade an Watt tritt.

#HomeAssistant #Smarthome

Yesterday, it started to smell like burned plastics in my bathroom. I had the hot water boiler under suspicion, but it actually was the Gosund SP112 it was attached to.

There was no water or something else out of the ordinary visible, it just sits in the corner besides the boiler, plugged into the wall socket.

I have no idea what exactly happened here and why. This setup has worked for several years now unchanged.

🫠🤔

#smarthome #homeassistant

Yesterday, it started to smell like burned plastics in my bathroom. I had the hot water boiler under suspicion, but it actually was the Gosund SP112 it was attached to.

There was no water or something else out of the ordinary visible, it just sits in the corner besides the boiler, plugged into the wall socket.

I have no idea what exactly happened here and why. This setup has worked for several years now unchanged.

🫠🤔

#smarthome #homeassistant

Yesterday, it started to smell like burned plastics in my bathroom. I had the hot water boiler under suspicion, but it actually was the Gosund SP112 it was attached to.

There was no water or something else out of the ordinary visible, it just sits in the corner besides the boiler, plugged into the wall socket.

I have no idea what exactly happened here and why. This setup has worked for several years now unchanged.

🫠🤔

#smarthome #homeassistant

Yesterday, it started to smell like burned plastics in my bathroom. I had the hot water boiler under suspicion, but it actually was the Gosund SP112 it was attached to.

There was no water or something else out of the ordinary visible, it just sits in the corner besides the boiler, plugged into the wall socket.

I have no idea what exactly happened here and why. This setup has worked for several years now unchanged.

🫠🤔

#smarthome #homeassistant

https://www.europesays.com/at/433321/ Apple Smart Home: Acht neue Zubehörprodukte und ein Hub für den 13. Oktober #Apple #AT #Austria #Österreich #Produkteinführung #Science #Science&Technology #SmartHome #Technik #Technologie #Technology #USA #Wissenschaft #Wissenschaft&Technik

New post: Laya vs Jev, ten days later 🧠⚖️

Ten days ago I benchmarked two "System One" decision models for my LLM router: Jev (TypeSafe, hosted) was usable as-is, Laya (open weights) zero-shot was not. Laya's README says "fine-tune me", so I did, on a 16 GB M4 MacBook.

🔁 Laya 0.3.6 → 0.3.24: 18 releases, but the weights are byte-identical. Same numbers.

🆕 New open rivals on my 80-prompt bench:
• Laya typed-decisions: 71% topic, but never confident → over-provisions everything
• Von 1.3: closest to gold out of the box (48%), but over-confident
• Kev-0.8B: 81% topic, 100% multilingual, very under-confident
Jev 1.13: 89% topic, 72.5% same route as gold, still the only one usable as-is.

🎯 Fine-tuning Laya on my own labels (not Jev's: distilling Jev is against TypeSafe's terms):
• 480 labelled prompts → 1,920 training items
• official Apple Silicon script, MPS
• 41.5 min for 4 epochs, 15.4 GB peak memory
• rule of thumb: ~6 s per labelled prompt

Results:
• topic 59% → 85%
• complexity 45% → 72.5% (= Jev)
• risk 31% → 69% (> Jev)
• but 0% confident answers 🙃 → a temperature fitted on held-out data (T=0.87) fixes it
• same route as gold: 20% → 64% (Jev 72.5%), routed cost $1.28 vs Jev's $1.35

Caveats in the post: same labeller for train and test, tiny groups, and it under-provisions 9 prompts vs 3 for Jev.

🏠 Then the reality check: I replayed 80 real Home Assistant decisions (VMC, shutters, water, watering) through Jev and stock Laya.
• Laya English answers ~0.5 to everything, and cuts 64/80 requests (512-token window; my prompts grew to 1–1.9k tokens with history)
• Laya multilingual says "yes" to almost everything, including "normal" (0.97) to a night-time leak 💧
• Jev in the house: VMC disagreements with the rule went from 100% to 6% once it got history. Half a cent per day.

So the house stays on Jev. The local path is clear though: fine-tune on my own feedback labels, not on Jev's answers.

Full post, commands, outputs and timings (EN/FR/IT):
https://mornati.net/laya-vs-jev-ten-days-later-fine-tuning-on-a-macbook/

Code & recipe: https://github.com/mmornati/system-one-router

Thanks again to everyone who commented on the last Home Assistant post: the "why not a small local model?" question is what pushed me to measure this properly.

#AI #LLM #FineTuning #HomeAssistant #SmartHome #AppleSilicon #OpenSource #Jev #Laya #SelfHosted

New post: Laya vs Jev, ten days later 🧠⚖️

Ten days ago I benchmarked two "System One" decision models for my LLM router: Jev (TypeSafe, hosted) was usable as-is, Laya (open weights) zero-shot was not. Laya's README says "fine-tune me", so I did, on a 16 GB M4 MacBook.

🔁 Laya 0.3.6 → 0.3.24: 18 releases, but the weights are byte-identical. Same numbers.

🆕 New open rivals on my 80-prompt bench:
• Laya typed-decisions: 71% topic, but never confident → over-provisions everything
• Von 1.3: closest to gold out of the box (48%), but over-confident
• Kev-0.8B: 81% topic, 100% multilingual, very under-confident
Jev 1.13: 89% topic, 72.5% same route as gold, still the only one usable as-is.

🎯 Fine-tuning Laya on my own labels (not Jev's: distilling Jev is against TypeSafe's terms):
• 480 labelled prompts → 1,920 training items
• official Apple Silicon script, MPS
• 41.5 min for 4 epochs, 15.4 GB peak memory
• rule of thumb: ~6 s per labelled prompt

Results:
• topic 59% → 85%
• complexity 45% → 72.5% (= Jev)
• risk 31% → 69% (> Jev)
• but 0% confident answers 🙃 → a temperature fitted on held-out data (T=0.87) fixes it
• same route as gold: 20% → 64% (Jev 72.5%), routed cost $1.28 vs Jev's $1.35

Caveats in the post: same labeller for train and test, tiny groups, and it under-provisions 9 prompts vs 3 for Jev.

🏠 Then the reality check: I replayed 80 real Home Assistant decisions (VMC, shutters, water, watering) through Jev and stock Laya.
• Laya English answers ~0.5 to everything, and cuts 64/80 requests (512-token window; my prompts grew to 1–1.9k tokens with history)
• Laya multilingual says "yes" to almost everything, including "normal" (0.97) to a night-time leak 💧
• Jev in the house: VMC disagreements with the rule went from 100% to 6% once it got history. Half a cent per day.

So the house stays on Jev. The local path is clear though: fine-tune on my own feedback labels, not on Jev's answers.

Full post, commands, outputs and timings (EN/FR/IT):
https://mornati.net/laya-vs-jev-ten-days-later-fine-tuning-on-a-macbook/

Code & recipe: https://github.com/mmornati/system-one-router

Thanks again to everyone who commented on the last Home Assistant post: the "why not a small local model?" question is what pushed me to measure this properly.

#AI #LLM #FineTuning #HomeAssistant #SmartHome #AppleSilicon #OpenSource #Jev #Laya #SelfHosted

New post: Laya vs Jev, ten days later 🧠⚖️

Ten days ago I benchmarked two "System One" decision models for my LLM router: Jev (TypeSafe, hosted) was usable as-is, Laya (open weights) zero-shot was not. Laya's README says "fine-tune me", so I did, on a 16 GB M4 MacBook.

🔁 Laya 0.3.6 → 0.3.24: 18 releases, but the weights are byte-identical. Same numbers.

🆕 New open rivals on my 80-prompt bench:
• Laya typed-decisions: 71% topic, but never confident → over-provisions everything
• Von 1.3: closest to gold out of the box (48%), but over-confident
• Kev-0.8B: 81% topic, 100% multilingual, very under-confident
Jev 1.13: 89% topic, 72.5% same route as gold, still the only one usable as-is.

🎯 Fine-tuning Laya on my own labels (not Jev's: distilling Jev is against TypeSafe's terms):
• 480 labelled prompts → 1,920 training items
• official Apple Silicon script, MPS
• 41.5 min for 4 epochs, 15.4 GB peak memory
• rule of thumb: ~6 s per labelled prompt

Results:
• topic 59% → 85%
• complexity 45% → 72.5% (= Jev)
• risk 31% → 69% (> Jev)
• but 0% confident answers 🙃 → a temperature fitted on held-out data (T=0.87) fixes it
• same route as gold: 20% → 64% (Jev 72.5%), routed cost $1.28 vs Jev's $1.35

Caveats in the post: same labeller for train and test, tiny groups, and it under-provisions 9 prompts vs 3 for Jev.

🏠 Then the reality check: I replayed 80 real Home Assistant decisions (VMC, shutters, water, watering) through Jev and stock Laya.
• Laya English answers ~0.5 to everything, and cuts 64/80 requests (512-token window; my prompts grew to 1–1.9k tokens with history)
• Laya multilingual says "yes" to almost everything, including "normal" (0.97) to a night-time leak 💧
• Jev in the house: VMC disagreements with the rule went from 100% to 6% once it got history. Half a cent per day.

So the house stays on Jev. The local path is clear though: fine-tune on my own feedback labels, not on Jev's answers.

Full post, commands, outputs and timings (EN/FR/IT):
https://mornati.net/laya-vs-jev-ten-days-later-fine-tuning-on-a-macbook/

Code & recipe: https://github.com/mmornati/system-one-router

Thanks again to everyone who commented on the last Home Assistant post: the "why not a small local model?" question is what pushed me to measure this properly.

#AI #LLM #FineTuning #HomeAssistant #SmartHome #AppleSilicon #OpenSource #Jev #Laya #SelfHosted

New post: Laya vs Jev, ten days later 🧠⚖️

Ten days ago I benchmarked two "System One" decision models for my LLM router: Jev (TypeSafe, hosted) was usable as-is, Laya (open weights) zero-shot was not. Laya's README says "fine-tune me", so I did, on a 16 GB M4 MacBook.

🔁 Laya 0.3.6 → 0.3.24: 18 releases, but the weights are byte-identical. Same numbers.

🆕 New open rivals on my 80-prompt bench:
• Laya typed-decisions: 71% topic, but never confident → over-provisions everything
• Von 1.3: closest to gold out of the box (48%), but over-confident
• Kev-0.8B: 81% topic, 100% multilingual, very under-confident
Jev 1.13: 89% topic, 72.5% same route as gold, still the only one usable as-is.

🎯 Fine-tuning Laya on my own labels (not Jev's: distilling Jev is against TypeSafe's terms):
• 480 labelled prompts → 1,920 training items
• official Apple Silicon script, MPS
• 41.5 min for 4 epochs, 15.4 GB peak memory
• rule of thumb: ~6 s per labelled prompt

Results:
• topic 59% → 85%
• complexity 45% → 72.5% (= Jev)
• risk 31% → 69% (> Jev)
• but 0% confident answers 🙃 → a temperature fitted on held-out data (T=0.87) fixes it
• same route as gold: 20% → 64% (Jev 72.5%), routed cost $1.28 vs Jev's $1.35

Caveats in the post: same labeller for train and test, tiny groups, and it under-provisions 9 prompts vs 3 for Jev.

🏠 Then the reality check: I replayed 80 real Home Assistant decisions (VMC, shutters, water, watering) through Jev and stock Laya.
• Laya English answers ~0.5 to everything, and cuts 64/80 requests (512-token window; my prompts grew to 1–1.9k tokens with history)
• Laya multilingual says "yes" to almost everything, including "normal" (0.97) to a night-time leak 💧
• Jev in the house: VMC disagreements with the rule went from 100% to 6% once it got history. Half a cent per day.

So the house stays on Jev. The local path is clear though: fine-tune on my own feedback labels, not on Jev's answers.

Full post, commands, outputs and timings (EN/FR/IT):
https://mornati.net/laya-vs-jev-ten-days-later-fine-tuning-on-a-macbook/

Code & recipe: https://github.com/mmornati/system-one-router

Thanks again to everyone who commented on the last Home Assistant post: the "why not a small local model?" question is what pushed me to measure this properly.

#AI #LLM #FineTuning #HomeAssistant #SmartHome #AppleSilicon #OpenSource #Jev #Laya #SelfHosted

Hallo an die DIY-Community!

Die Tage bin ich im Baumarkt über einen sehr interessanten LED-Lichtschlauch gestolpert und habe mir glatt mal ein Exemplar mitgenommen ...
Es ist ein Brilo 2369056.
5m lang mit 200 #RGBIC Pixeln. 5V an 3-Pin Leitung. Dran ist ein USB-Controller, angegeben bis 2A. Sind wohl reine RGB-Chips.

Am liebsten soll da #WLED dran. Bevor ich nun den schönen Schlauch kaputt mache - weiß jemand welche ICs da drin sind?

#DIY #LEDStripe #Lighting #HardwareHack #Smarthome

Hallo an die DIY-Community!

Die Tage bin ich im Baumarkt über einen sehr interessanten LED-Lichtschlauch gestolpert und habe mir glatt mal ein Exemplar mitgenommen ...
Es ist ein Brilo 2369056.
5m lang mit 200 #RGBIC Pixeln. 5V an 3-Pin Leitung. Dran ist ein USB-Controller, angegeben bis 2A. Sind wohl reine RGB-Chips.

Am liebsten soll da #WLED dran. Bevor ich nun den schönen Schlauch kaputt mache - weiß jemand welche ICs da drin sind?

#DIY #LEDStripe #Lighting #HardwareHack #Smarthome

Hallo an die DIY-Community!

Die Tage bin ich im Baumarkt über einen sehr interessanten LED-Lichtschlauch gestolpert und habe mir glatt mal ein Exemplar mitgenommen ...
Es ist ein Brilo 2369056.
5m lang mit 200 #RGBIC Pixeln. 5V an 3-Pin Leitung. Dran ist ein USB-Controller, angegeben bis 2A. Sind wohl reine RGB-Chips.

Am liebsten soll da #WLED dran. Bevor ich nun den schönen Schlauch kaputt mache - weiß jemand welche ICs da drin sind?

#DIY #LEDStripe #Lighting #HardwareHack #Smarthome

Your houseplant doesn’t need an IT department, but why not give it one?

In this week’s MTN Weekend, we explore 6 DIY home automation projects that make everyday life delightfully overengineered: from messaging washing machines to a robot Director of Decorative Lighting.

Have fun solving non-existent problems with AI coding assistants.

https://www.movetheneedle.news/brands/mtn-weekend--how-to-overengineer-your-life/

#AI #engineering #technology #coding #deeptech #weekend #homeautomation #smarthome

Your houseplant doesn’t need an IT department, but why not give it one?

In this week’s MTN Weekend, we explore 6 DIY home automation projects that make everyday life delightfully overengineered: from messaging washing machines to a robot Director of Decorative Lighting.

Have fun solving non-existent problems with AI coding assistants.

https://www.movetheneedle.news/brands/mtn-weekend--how-to-overengineer-your-life/

#AI #engineering #technology #coding #deeptech #weekend #homeautomation #smarthome

Your houseplant doesn’t need an IT department, but why not give it one?

In this week’s MTN Weekend, we explore 6 DIY home automation projects that make everyday life delightfully overengineered: from messaging washing machines to a robot Director of Decorative Lighting.

Have fun solving non-existent problems with AI coding assistants.

https://www.movetheneedle.news/brands/mtn-weekend--how-to-overengineer-your-life/

#AI #engineering #technology #coding #deeptech #weekend #homeautomation #smarthome

Your houseplant doesn’t need an IT department, but why not give it one?

In this week’s MTN Weekend, we explore 6 DIY home automation projects that make everyday life delightfully overengineered: from messaging washing machines to a robot Director of Decorative Lighting.

Have fun solving non-existent problems with AI coding assistants.

https://www.movetheneedle.news/brands/mtn-weekend--how-to-overengineer-your-life/

#AI #engineering #technology #coding #deeptech #weekend #homeautomation #smarthome

Apple May Release A Smart Home Camera That Does Not Record Video #apple #smarthome #smarthomecamera

https://www.lowyat.net/2026/406210/apple-smart-home-camera-no-video/

Apple May Release A Smart Home Camera That Does Not Record Video #apple #smarthome #smarthomecamera

https://www.lowyat.net/2026/406210/apple-smart-home-camera-no-video/

Apple May Release A Smart Home Camera That Does Not Record Video #apple #smarthome #smarthomecamera

https://www.lowyat.net/2026/406210/apple-smart-home-camera-no-video/

Apple May Release A Smart Home Camera That Does Not Record Video #apple #smarthome #smarthomecamera

https://www.lowyat.net/2026/406210/apple-smart-home-camera-no-video/

Square: Leak shows possible photo homescreen for new Apple device

Software details of Apple’s new home device have leaked for the first time. A start screen apparently is based on the iPhone Duo – and there are four colors.

https://www.heise.de/en/news/Square-Leak-shows-possible-photo-homescreen-for-new-Apple-device-11474652.html?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastodon

#Apple #iOS #macOS #Mobiles #SmartHome #Xcode #news

Square: Leak shows possible photo homescreen for new Apple device

Software details of Apple’s new home device have leaked for the first time. A start screen apparently is based on the iPhone Duo – and there are four colors.

https://www.heise.de/en/news/Square-Leak-shows-possible-photo-homescreen-for-new-Apple-device-11474652.html?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastodon

#Apple #iOS #macOS #Mobiles #SmartHome #Xcode #news

Square: Leak shows possible photo homescreen for new Apple device

Software details of Apple’s new home device have leaked for the first time. A start screen apparently is based on the iPhone Duo – and there are four colors.

https://www.heise.de/en/news/Square-Leak-shows-possible-photo-homescreen-for-new-Apple-device-11474652.html?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastodon

#Apple #iOS #macOS #Mobiles #SmartHome #Xcode #news

Square: Leak shows possible photo homescreen for new Apple device

Software details of Apple’s new home device have leaked for the first time. A start screen apparently is based on the iPhone Duo – and there are four colors.

https://www.heise.de/en/news/Square-Leak-shows-possible-photo-homescreen-for-new-Apple-device-11474652.html?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastodon

#Apple #iOS #macOS #Mobiles #SmartHome #Xcode #news

Home assistant, beste 😎👍🏻

#homeassistant #smarthome

Home assistant, beste 😎👍🏻

#homeassistant #smarthome

Home assistant, beste 😎👍🏻

#homeassistant #smarthome

Home assistant, beste 😎👍🏻

#homeassistant #smarthome

UGREEN: HomeAgent HA100 und HA100 Pro starten günstiger, aber später

https://fed.brid.gy/r/https://stadt-bremerhaven.de/ugreen-homeagent-ha100-und-ha100-pro-starten-guenstiger-aber-spaeter/

UGREEN: HomeAgent HA100 und HA100 Pro starten günstiger, aber später

https://fed.brid.gy/r/https://stadt-bremerhaven.de/ugreen-homeagent-ha100-und-ha100-pro-starten-guenstiger-aber-spaeter/

Ist es genial oder brainrot 9000 eine smarte Steckdose an meine Tee Maschine zu hängen damit die mir drei Minuten nach laufen eine push Nachricht schickt dass der tee fertig ist?

#smarthome

Ist es genial oder brainrot 9000 eine smarte Steckdose an meine Tee Maschine zu hängen damit die mir drei Minuten nach laufen eine push Nachricht schickt dass der tee fertig ist?

#smarthome

Ist es genial oder brainrot 9000 eine smarte Steckdose an meine Tee Maschine zu hängen damit die mir drei Minuten nach laufen eine push Nachricht schickt dass der tee fertig ist?

#smarthome

Photovoltaik in Deutschland: Solarstrom übertrifft Vorjahreswert bereits im September

https://fed.brid.gy/r/https://stadt-bremerhaven.de/photovoltaik-in-deutschland-solarstrom-uebertrifft-vorjahreswert-bereits-im-september/

Photovoltaik in Deutschland: Solarstrom übertrifft Vorjahreswert bereits im September

https://fed.brid.gy/r/https://stadt-bremerhaven.de/photovoltaik-in-deutschland-solarstrom-uebertrifft-vorjahreswert-bereits-im-september/

Quadratisch: Leak zeigt möglichen Foto-Homescreen für neues Apple-Gerät

Erstmals sind Softwaredetails zu Apples neuem Home-Gerät durchgesickert. Ein Startbildschirm orientiert sich offenbar am iPhone Duo – und es gibt vier Farben.

https://www.heise.de/news/Quadratisch-Leak-zeigt-moeglichen-Foto-Homescreen-fuer-neues-Apple-Geraet-11472977.html?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastodon

#Apple #iOS #macOS #Mobiles #SmartHome #Xcode #news

Quadratisch: Leak zeigt möglichen Foto-Homescreen für neues Apple-Gerät

Erstmals sind Softwaredetails zu Apples neuem Home-Gerät durchgesickert. Ein Startbildschirm orientiert sich offenbar am iPhone Duo – und es gibt vier Farben.

https://www.heise.de/news/Quadratisch-Leak-zeigt-moeglichen-Foto-Homescreen-fuer-neues-Apple-Geraet-11472977.html?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastodon

#Apple #iOS #macOS #Mobiles #SmartHome #Xcode #news

Quadratisch: Leak zeigt möglichen Foto-Homescreen für neues Apple-Gerät

Erstmals sind Softwaredetails zu Apples neuem Home-Gerät durchgesickert. Ein Startbildschirm orientiert sich offenbar am iPhone Duo – und es gibt vier Farben.

https://www.heise.de/news/Quadratisch-Leak-zeigt-moeglichen-Foto-Homescreen-fuer-neues-Apple-Geraet-11472977.html?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastodon

#Apple #iOS #macOS #Mobiles #SmartHome #Xcode #news

Quadratisch: Leak zeigt möglichen Foto-Homescreen für neues Apple-Gerät

Erstmals sind Softwaredetails zu Apples neuem Home-Gerät durchgesickert. Ein Startbildschirm orientiert sich offenbar am iPhone Duo – und es gibt vier Farben.

https://www.heise.de/news/Quadratisch-Leak-zeigt-moeglichen-Foto-Homescreen-fuer-neues-Apple-Geraet-11472977.html?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastodon

#Apple #iOS #macOS #Mobiles #SmartHome #Xcode #news

Home Assistant: Nabu Casa benennt Home Assistant Cloud in Home Assistant Link um

https://fed.brid.gy/r/https://stadt-bremerhaven.de/home-assistant-nabu-casa-benennt-home-assistant-cloud-in-home-assistant-link-um/

Home Assistant: Nabu Casa benennt Home Assistant Cloud in Home Assistant Link um

https://fed.brid.gy/r/https://stadt-bremerhaven.de/home-assistant-nabu-casa-benennt-home-assistant-cloud-in-home-assistant-link-um/

𝐉𝐚𝐦𝐛𝐮𝐥𝐚 𝐎𝐒 𝟐𝟎𝟐𝟔.𝟗.𝟎 is out!

Jambula OS is a lightweight, free & open source Linux OS customized for embedded single board computers and projects around the home lab.

🖥️ Raspberry Pi Zero W v1 support
🛡️ AdGuard Home Ad & Tracker blocker
⚡ Faster, smoother first boot
🎵 Bluetooth audio + H.264 decoding

📥 https://jambula.org

@homelab

#JambulaOS #RaspberryPi #RapberryPiZero #RaspberryPi5 #AdGuard #PrivacyFirst #SelfHosting #HomeLab #DIY #HomeAssistant #SmartHome #Linux #OpenSource

𝐉𝐚𝐦𝐛𝐮𝐥𝐚 𝐎𝐒 𝟐𝟎𝟐𝟔.𝟗.𝟎 is out!

Jambula OS is a lightweight, free & open source Linux OS customized for embedded single board computers and projects around the home lab.

🖥️ Raspberry Pi Zero W v1 support
🛡️ AdGuard Home Ad & Tracker blocker
⚡ Faster, smoother first boot
🎵 Bluetooth audio + H.264 decoding

📥 https://jambula.org

@homelab

#JambulaOS #RaspberryPi #RapberryPiZero #RaspberryPi5 #AdGuard #PrivacyFirst #SelfHosting #HomeLab #DIY #HomeAssistant #SmartHome #Linux #OpenSource

𝐉𝐚𝐦𝐛𝐮𝐥𝐚 𝐎𝐒 𝟐𝟎𝟐𝟔.𝟗.𝟎 is out!

Jambula OS is a lightweight, free & open source Linux OS customized for embedded single board computers and projects around the home lab.

🖥️ Raspberry Pi Zero W v1 support
🛡️ AdGuard Home Ad & Tracker blocker
⚡ Faster, smoother first boot
🎵 Bluetooth audio + H.264 decoding

📥 https://jambula.org

@homelab

#JambulaOS #RaspberryPi #RapberryPiZero #RaspberryPi5 #AdGuard #PrivacyFirst #SelfHosting #HomeLab #DIY #HomeAssistant #SmartHome #Linux #OpenSource

𝐉𝐚𝐦𝐛𝐮𝐥𝐚 𝐎𝐒 𝟐𝟎𝟐𝟔.𝟗.𝟎 is out!

Jambula OS is a lightweight, free & open source Linux OS customized for embedded single board computers and projects around the home lab.

🖥️ Raspberry Pi Zero W v1 support
🛡️ AdGuard Home Ad & Tracker blocker
⚡ Faster, smoother first boot
🎵 Bluetooth audio + H.264 decoding

📥 https://jambula.org

@homelab

#JambulaOS #RaspberryPi #RapberryPiZero #RaspberryPi5 #AdGuard #PrivacyFirst #SelfHosting #HomeLab #DIY #HomeAssistant #SmartHome #Linux #OpenSource

Möchte mir ein Home Assistant Setup einrichten,
mein Raspi2B ist dafür ja dann doch zu alt/schwach ...
Überlegung ist nun ein Raspi 4 oder 5 mit 4 GB zu holen.
Raspi 5 dafür etwas overkill?

Setup wäre HA mit MATTER Geräte und AdGuardHome als Plugin drinn, also HA als OS was auch bedeute dass der Raspi NUR das machen wird.
Also eigentlich reicht dann ein Raspi 4 ja wirklich aus 🤔
#SmartHome #HomeAssistant #Raspberrypi

Möchte mir ein Home Assistant Setup einrichten,
mein Raspi2B ist dafür ja dann doch zu alt/schwach ...
Überlegung ist nun ein Raspi 4 oder 5 mit 4 GB zu holen.
Raspi 5 dafür etwas overkill?

Setup wäre HA mit MATTER Geräte und AdGuardHome als Plugin drinn, also HA als OS was auch bedeute dass der Raspi NUR das machen wird.
Also eigentlich reicht dann ein Raspi 4 ja wirklich aus 🤔
#SmartHome #HomeAssistant #Raspberrypi