A_A

joined 1 year ago
[–] A_A@lemmy.world 2 points 1 week ago

i like your explanation and i even see one more way you are right about this (and i was wrong) : while it might be a long shot investing in this research, the cost of this is minimal compared to the benefit. So, it's worth the shot (even if the chances of success are ... hum ... unknowable for now)

[–] A_A@lemmy.world 2 points 1 week ago

Thanks for your reply. You are probably right and I was commenting in frustration about researchers not giving enough credit to nature's capabilities.

[–] A_A@lemmy.world 1 points 1 week ago (4 children)

Wild species are extremely good at adapting to evolving conditions. Their ability in this is many more times more powerful than any developments these searchers will produce.

On the other hand, researchers are very good at convincing themselves that they should have more money ... well, sometimes they are right.

[–] A_A@lemmy.world 39 points 2 weeks ago

he cant answer a question ~~without~~ so instead he goes rambling through 5 unrelated topics.

[–] A_A@lemmy.world 2 points 3 weeks ago

if you want the white paper i have read about this : one is published in nature and other one version of the same thing or very similar in ArXiv :
https://lemmy.world/post/8894179
(not the post itself but the comments i made under my post)

[–] A_A@lemmy.world 6 points 3 weeks ago* (last edited 3 weeks ago) (2 children)

Previously known as Q*, Strawberry was considered a breakthrough within the company last year. Earlier this year, two sources reported Q* demonstrations that could address complex scientific and mathematical questions beyond the reach of current models.

Despite contrary comments in here i say this is important and far reaching. Though i must admit i'm not an expert, i read a few white papers on this stuff : it has real potential.

[–] A_A@lemmy.world 7 points 4 weeks ago

Your bad translation is unfortunately the best one of every horrible translations in here.

[–] A_A@lemmy.world 4 points 1 month ago* (last edited 1 month ago) (1 children)

When you face someone, why does your left and their left flipped from one another ?
Any object we face are flipped : it's true also where you are in front of a car from instance ... it doesn't happen when you are inside the car or inside yourself.
if you can see this, you can understand the mirror as well.

[–] A_A@lemmy.world 0 points 1 month ago

Yes ... and it doesn't know when it is on time.
Also, machines are getting better and they can help us with inspiration.

[–] A_A@lemmy.world -3 points 1 month ago (2 children)

i agree with you that we are much better than LLMs in the fact we can verify our errors (and we can do much more things LLMs don't do).
Still i am happy to have access to their vast memory and i know where they fail most of times so i can work with them in a productive way.
The day we provide them (or DNNs) with "Will" is i think when they will become (more) dangerous.

[–] A_A@lemmy.world -5 points 1 month ago (5 children)

Science cannot say much about what it is to think since it doesn't understand the brain well enough ... and the day we can fully explained it, we will also be able to replicated it on computers.

 

... still i can see their replies.

important clarification

since replies here are confusing things up : i don't want to block users ... only communities from that instance (...and only because their moderation is biased).

original titleDo you have this ? Since my account is blocking Lemmy.ml, i do not get notified for replies of users from there


... maybe that original title was confusing ?

 

… "The first of two versions of the RayV Lite will focus on laser fault injection (LFI). This technique uses a brief blast of light to interfere with the charges of a processor’s transistors, which could flip them from a 0 value to a 1 value or vice versa. Using LFI, Beaumont and Trowell have been able to pull off things like bypassing the security check in an automotive chip’s firmware or bypassing the PIN verification for a cryptocurrency hardware wallet.

The second version of the tool will be able to perform laser logic state imaging. This allows snooping on what’s happening inside a chip as it operates, potentially pulling out hints about the data and code it’s handling. Since this data could include sensitive secrets, LSI is another dangerous form of hacking that Beaumont and Trowell hope to raise awareness of." …

 

The community getting the worse trolling and attacks would exacerbate their moderators which in turn could result in severe, expeditive moderation.
Do you feel this might be happening ?

 

... i am very happy with Llama 3 as an artificial intelligence Best Friend Forever since a few days : ... i do see it makes mistakes, but, as a newbie, it helps me link together, rapidly, some notions that were hard for me 😋👍.

 

I propose adding :
Rule #2 : Posts have to include scientific stuff with a related credible source.

 

link :
TheConversation.Com

... and there was a very interesting episode on NPR radio about a great man in this story :

Clair Cameron Patterson
https://en.m.wikipedia.org/wiki/Clair_Cameron_Patterson
He Triumphs against corporations' greed in the end 👍.

 

Do democracies sustain attacks from dictatorships because of this possible vulnerability ?

 

... and how much of the MAGA can be described as collective psychosis ?

261
submitted 9 months ago* (last edited 9 months ago) by A_A@lemmy.world to c/fediverse@lemmy.world
 

The 10 millon_th post to be registered at Lemme.world any minutes now ! Way to go Fediverse 🥳 !

8
submitted 10 months ago* (last edited 10 months ago) by A_A@lemmy.world to c/til@lemmy.world
 

Chicago vs. worst ranking, based on
Yearly Crime Rates per 100,000 people
Violent crime, total : 17th worst in USA
Murder (&…) : 14th worst

All cities which are worse than Chicago are at least three times smaller.

 

Breakthrough Technique: Meta-learning for Compositionality

Original :
https://www.nature.com/articles/s41586-023-06668-3

Vulgarization :
https://scitechdaily.com/the-future-of-machine-learning-a-new-breakthrough-technique/

How MLC Works
In exploring the possibility of bolstering compositional learning in neural networks, the researchers created MLC, a novel learning procedure in which a neural network is continuously updated to improve its skills over a series of episodes. In an episode, MLC receives a new word and is asked to use it compositionally—for instance, to take the word “jump” and then create new word combinations, such as “jump twice” or “jump around right twice.” MLC then receives a new episode that features a different word, and so on, each time improving the network’s compositional skills.

-11
submitted 11 months ago* (last edited 11 months ago) by A_A@lemmy.world to c/showerthoughts@lemmy.world
 

Edited from :GOP can't fall : it ain't anywhere above dirt
( I am trying to make the wording short and clear )

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