Pixels can be configured to limit charging to 80% these days.
I’ve started using it and the difference between using 80% and 100% on a daily basis is negligible, I rarely if ever let my device go below about 35% anyway. So this change is basically free battery life for the device
Yes, iirc Valve popularized the concept in the west with TF2, Dota 2 and CS:GO.
Carbonara was invented around 1950.
No respect will be afforded to Italian cuisine based on this fact
I’d eat that, especially at that price. Not even British
A similar thing applies for Sweden, where there’s a quarterly test of the public emergency warning system, which always happens at 15:00 on Mondays.
The system has the nickname “Hesa Fredrik” (“Hoarse Fredrik”).
Since this system will be used in case of an attack in the event of a war, this means we have to contemplate if Russia is attacking or if it’s just Monday each time we hear the signal.
Least inaccurate description of French honestly
Or cars, and most (afaik?) labour was manual.
It’s not going to be representative unless you compare it to the same cohort - tech stocks.
When you get paid just to produce the thing, it’s also nice if you can actually use it for something I guess
I don’t think I changed the difficulty-settings.
Cellulose is generally recyclable but as I understand it degrades through each cycle, until it’s basically unfit for recycling and is more efficient to burn for energy.
How do I get into it? I’ve tried and it’s not really sticking, to be honest.
By the power of podcasts, I have become equipped to handle the Sisyphean daily tasks. I used to dread them, now I don’t mind them at all.
I don’t think DeepSeek has the capability of generating code and executing it inline in the context window to support its answers, in the way that ChatGPT does - the “used”-part of that answer is likely a hallucination, while “or would use” more accurately represents reality.
The concern is that the model doesn’t actually see the world in terms of distinct hexadecimals, but instead as tokens of variable size - you can see this using the tiktokenizer-webapp: enter some text and it will split it into the series of tokens the model actually will process.
It’s not impossible for the model to work it out anyway, but it is a reason for this type of task to be a bit harder on LLMs.
It’s not out of the question that we get emergent behaviour where the model can connect non-optimally mapped tokens and still translate them correctly, yeah.
It is a concern.
Check out https://tiktokenizer.vercel.app/?model=deepseek-ai%2FDeepSeek-R1 and try entering some freeform hexadecimal data - you’ll notice that it does not cleanly segment the hexadecimal numbers into individual tokens.
I believe there was a 100% tariff in place pre-Trump meltdown on Chinese EVs in the U.S, making them less viable in that market. The EU also tariffs them heavily, which is quite a pity.