However, I believe an ad it still influences you subconsciously as long as it is in your sight line.
I wouldn't be surprised if there is a lot of investigation into subtly slipping advertising in the LLM responses the way Korean dramas have product placement right in the storyline (Subway, bbq chicken, beverages, makeup, etc).
Out the gate, sodium ion advantages are so significant that unless there is some surprise show-stopper it will likely become the dominant energy storage medium.
Crustal abundance up to 1000x that of lithium - pretty much every nation has effectively unlimited supply, it's no longer a barrier or a geographically limited resource like lithium.
No significant damage going down to 0V, can even be stored at 0V - much safer than lithium which gets excitable once out of its prefered voltage range.
Cold weather performance down to -30C - northern latitude users don't have as much range anxiety in the winter.
Basically, the only problem I see is that companies that have made significant long-term investments in lithium could take a big hit. Countries that banked on their lithium reserves as a key future resource for will have to adjust their strategy.
Lithium batteries will likely still have a place in the high performance realm but but for the majority of run-of-the-mill applications - everything from customer electronics to EVs to offgrid storage - it's hard to see how sodium-ion wouldn't quickly replace it.
Strangely, this made me think about the recurrent laryngeal nerve in giraffes.
The nerve takes a 15-foot detour down the long neck and loops under the aorta near the heart before it travels back up because evolution needed to stay backwards compatible with previous iterations of protogiraffes as environmental selection pressure lengthened the neck.
Not the GP, but do you think Serena Williams - world number 1 womens tennis player for 319 weeks, who trained for 5 hours per day at her peak - has insufficient grit?
> Conversely, entire branches of knowledge can be lost if not enough people are working in the area to maintain a common ground of understanding.
Especially if the work is classified.
The manufacture of FOGBANK, a key material for a thermonuclear weapon's interstage, was lost by 2000 because so few people were involved with its manufacture and the ones who knew retired or moved on. It's thought to be an aerogel-like substance.
5 years and millions in expensive reverse engineering was required to figure it out again.
Instructions on Vine-glo grape concentrate during prohibition:
"Do not place the liquid in this jug and put it away in the cupboard for twenty-one days, because then it would turn into wine."
Google was not marginally better Yahoo, their implementation of Markov chains in the PageRank algorithm was significantly better than Yahoo or any other contemporary search engine.
It's not obvious if a similar breakthrough could occur in AI
> people aren't aware of how wrong they can be, and the errors take effort and knowledge to notice.
I have friends who are highly educated professionals (PhDs, MDs) who just assume that AI\LLMs make no mistakes.
They were shocked that it's possible for hallucinations to occur. I wonder if there's a halo effect where the perfect grammar, structure, and confidence of LLM output causes some users to assume expertise?