I WFH, so my chair gets a lot of use - it’s one of the tools I use.
If I was an electrician, or I commuted to work I know I’d be paying for tools, fuel, repairs, train tickets etc
I don’t know what your circumstances are, but I find a cheap chair falls apart pretty quick.
The better office chairs have 10+ year warranties, if you spread out the cost of buying a cheap chair (£150) every 2 years Vs a £1000 one that lasts 10 years its not such a huge difference in price whilst the benefits to your back are worth much more.
I know not everyone can afford this, but it’s worth checking for interest free credit from either the manufacturer, store, or even PayPal / klarna (which is what I did).
So I was trying to think how I’d implement it, and I agree if it’s simple then it really only needs to set the brightness level once, then remember if the user adjusts it, and reuse that adjustment for every lux reading.
Hence the example I gave:
Take the ambient light level (lux).
Set brightness to 5.
Log that the user has made it 1 level or 10% darker.
Next time it senses the same lux level, set the brightness 1 level lower
Well shucks, I guess Samsung lied to me! I see adaptive brightness was released as part of Android Pie in 2018.
Yeah, I was thinking it could be machine learning in that it takes the average of all your changes over time and the different ambient light levels.
But deffo no need for neural networks.
I totally agree with you.
However there is one smart feature Samsung has that I like. The screen brightness auto adjusts based on the ambient light, but if I change that automatic brightness (I prefer the screen darker) it will remember that and consistently adjust the brightness.
I’m not sure it’s really an AI feature…
Take the ambient light level (lux).
Set brightness to 5.
Log that the user has made it 1 level or 10% darker.
Next time it senses the same lux level, set the brightness 1 level lower
I’m guessing some sort of NAS but I’m eager to know the truth
I’m clearly not understanding something here, but I thought search engines would require loads of space to index all the internet. Just thinking about the ability to search for code on stackoverflow seems like loads already.
Edit:
Found it!
SearXNG is a free internet metasearch engine which aggregates results from more than 70 search services. Users are neither tracked nor profiled.
Looks very interesting, thanks for commenting about it.
I was trying to make a joke about the character model looking like it had fallen through the floor.
I’m not sure he’s digging a hole when he seems to be stuck up to his chest! 😂
Yes, these precipts seem to be common in the TV industry
Ms Jefferies stresses the guidelines are not trying to put boundaries on storytelling … She says - and “these guidelines are just to bring it even more in line with the best practices in the film and TV industry”.
And I can’t think of news stories that show this is a problem in terms of leaking a story.
So, why not have the same degree of safety and protocols in game development?
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I totally agree with you, I’d much rather read some bullet points then sit through a video.
I think YouTube automatically generates transcripts already, and GPT can summarise text easily.
We’ll get an AI to caption and then summarise the transcript of the video that’s 8 mins long because the user (understandably) wanted to monetize the video.
I wonder if this was Google’s plan all along …
UWB looks very cool for finding things from the phone (without the tracker ringing). Samsung Smart tag 2 does this.
I’ve picked up a Moto tag that has UWB and works with Google’s find my network - my understanding is that this will work like apple air tags which can use any iPhone to report and track it’s location. Though it’s not doing all of these things just yet!
These 2 videos, whilst slightly rambling, covered a lot.
https://youtu.be/G3HP6NVScJw?si=Kr9rF_A05Sk7OWB8
https://youtu.be/kPumuCbVVnk?si=xCSsFfNUY9TazHu6