You might have mentioned that the current flat numbering scheme started in 2011 (see, e.g. https://www.linuxfoundation.or... or https://en.wikipedia.org/wiki/...). Before, there were stable branches (e.g. 2.6.x), seperately numbered from development branches (e.g. 2.5.x).
How is that supposed to work?
I mean, there are Lagrange points, but they are certainly not a practical strategy for commercial satellites.
AI companies are certainly not republishing books they use for training.
Is this really certain? They probably do not intend to publish the full books. However, it is apparently possible to extract (almost) the full text of some books from LLMs.
Truck charging with 1.2 MW is not exactly new: https://www.youtube.com/watch?...
Numbers don‘t have letters in them.
Questions about spellings of words are not suited to LLMs as those operate on tokens and embedding vectors, not characters.
Kind of a fitting pun that some might have missed.
10 Watts times 60 minutes is 10 Watt hours = 10 Wh (or 600 Watt minutes).
In the parent post all results are off by a factor of 60. The conclusions are mostly correct.
As noted or hinted upon by others, the concepts challenged in this paper (i.e. general relativity) are very well established and tested experimentally, e.g., in the context of GPS. Conversely, the question of what negative masses or mass densities would imply is obvious, so that probably every single physics student or professor has thought about it. Still, nobody seems to have found any traces of negative masses.
Thus, the authors suggestions should be viewed as (potentially) somewhat interesting speculation or an empirical approach for fitting cosmological data.
I dont think there is anything new that the general public could/should learn from this news or the article.
The exact same gesture could be activated as an accessibility feature for quite some time even on older models.
The implementation of the powers of ChaptGPT and assoicated technologies into the Microsoft office suite will be a complete game changer. Nobody (in his right mind) will manually organize emails when an AI can perfectly sort emails, alert you of important infos and deadlines and suggest answers or actions.
This has no more similarity to Clippy than a Tesla has to a toy car.
He is a teen (19) - the latest cheating evidence is from 2020.
NVIDIA A100 cards do not have video outputs (like HDMI) and, I think, also no raytracing units. So they are definitely not video cards and not really (or mostly) GPUs.
You failed to consider that the target applicants are already using gas for heating purposes anyway. Now the heat production of the engine will be exactly matched to this need (same as before). All extra gas consumption is fully transformed into electricity (which is possible, even for only 40% raw conversion efficency, as long as the electrical output is much below the heat load).
So, overall, the extra gas consumption (compared to conventional heating) is transformed with 100% efficiency into electricity which is a vast improvement over all competing technologies with similar flexibility.
If you teach your children to like computers and to know how to gamble then they'll always be interested in something and won't come to no real harm.
