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Groups > sci.physics > #891114

Group Morons and the American Dream (Was: Corr.: now -> new)

From Mild Shock <janburse@fastmail.fm>
Newsgroups sci.physics
Subject Group Morons and the American Dream (Was: Corr.: now -> new)
Date 2025-02-04 23:44 +0100
Message-ID <vnu58r$vb1u$1@solani.org> (permalink)
References <vn98q6$ie21$4@solani.org> <vnslb8$ue77$4@solani.org> <vnu020$v7ev$2@solani.org> <vnu4f7$vahi$1@solani.org> <vnu4k7$vahi$2@solani.org>

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Hi,

The biggest group morons are those that
dream that they can profit by relocating
from their own group of people,

to a group of american people, and then
cry when their assets get frozen or who
knows what happens. The papers I posted

are about automatically tuning into groups:

 > Group Preference Optimization
 > https://arxiv.org/abs/2310.11523
 >
 > DeepSeekMath: Pushing the Limits
 > https://arxiv.org/abs/2402.03300

Its actually quite amazing how machine
learning can utilize group identification
to customize how a conversational software

agent interacts. Currently I think is a
variant of fine tuning, but on a different
model level that is called policy. The first

paper has a figure with the following groups:

- Hindu
- Jewish
- Liberal
- Asian

Have Fun!

Bye

Mild Shock schrieb:
> Hi,
> 
> Typo: now -> new
> 
>  > to generate now thinking
> 
> Should read:
> 
>  > to generate new thinking
> 
> I shit and piss on some asslicking group
> that cannot think on his own. Thank god
> USENET has only rarely such group morons.
> 
> Bye
> 
> Mild Shock schrieb:
>> Hi,
>>
>> You wouldn't notic that I speak for myself
>> always and ever. Just remove the links and
>> you see its all text original by me.
>>
>> I always post geniun commentary to current
>> events which are solely the product of my
>> own mind. I do not intend to educate something.
>>
>> My intention is to document my current
>> understanding and to generate now thinking.
>> If you have expected some schooling, I am very
>>
>> sorry for you. I never post boring schooling.
>>
>> Bye
>>
>> ---------------- cut here -----------------
>>
>> Because of the wide availability of Machine Learning
>> via Python libraries , the whole world (at least China)
>> has become a big Petri Dish that is experimenting with
>>
>> new strategies to evolve brains on the computer.
>> Recent discovery seems to be Group Preference Optimization.
>> This is when you make the chat bot, detect and react
>>
>> differently to different groups of people. It seems to
>> work on the "policy level". I don't understand it yet
>> completely. But chat bots can then evolve and use
>>
>> multiple policies automatically:
>>
>> Now it seems that it is also at the core of DeepSeekMath,
>> what is possibly detected is not group of people, but
>> mathematical topics, so that in the end it excells.
>>
>> When unsupervised learning is used groups or math
>> topics might be found from data, through a form of
>> abduction.
>>
>> ---------------- cut here -----------------
>>
>>
>> Physfitfreak schrieb:
>>> On 2/4/25 3:06 AM, Mild Shock wrote:
>>>> Hi,
>>>>
>>>> Because of the wide availability of Machine Learning
>>>> via Python libraries , the whole world (at least China)
>>>> has become a big Petri Dish that is experimenting with
>>>>
>>>> new strategies to evolve brains on the computer.
>>>> Recent discovery seems to be Group Preference Optimization.
>>>> This is when you make the chat bot, detect and react
>>>>
>>>> differently to different groups of people. It seems to
>>>> work on the "policy level". I don't understand it yet
>>>> completely. But chat bots can then evolve and use
>>>>
>>>> multiple policies automatically:
>>>>
>>>> Group Preference Optimization
>>>> https://arxiv.org/abs/2310.11523
>>>>
>>>> DeepSeekMath: Pushing the Limits
>>>> https://arxiv.org/abs/2402.03300
>>>>
>>>> Now it seems that it is also at the core of DeepSeekMath,
>>>> what is possibly detected is not group of people, but
>>>> mathematical topics, so that in the end it excells.
>>>>
>>>> When unsupervised learning is used groups or math
>>>> topics might be found from data, through a form of
>>>> abduction.
>>>>
>>>> Bye
>>>>
>>>> Mild Shock schrieb:
>>>>> Hi,
>>>>>
>>>>> Wait till USA figures out there is a second
>>>>> competitor besides DeepSeek, its called Yi-Lightning:
>>>>>
>>>>> Yi-Lightning Technical Report
>>>>> https://arxiv.org/abs/2412.01253
>>>>>
>>>>> It was already discussed 2 months ago:
>>>>>
>>>>> Eric Schmidt DROPS BOMBSHELL: China DOMINATES AI!
>>>>> https://www.youtube.com/watch?v=ddWuEUjo4u4
>>>>>
>>>>> Bye
>>>>>
>>>>
>>>
>>>
>>> Throwing papers at us (i.e. in usenet) although better than nothing, 
>>> it still is an extremely inefficient way to communicate.
>>>
>>> Speak, yourself, in the way that a first year undergraduate prof 
>>> explains stuff to the students who just a few months earlier finished 
>>> their high schooling.
>>>
>>> Then you will communicate.
>>>
>>> If it is too difficult to do that (cause requires deep understanding 
>>> of the subject by yourself), or, if you don't get time doing all 
>>> that, then break the job down into little pieces. A day at a time, or 
>>> a week at a time.
>>>
>>> You'd be spending the same amount of time as you are now, and yet you 
>>> will actually communicate something with those with physics background.
>>>
>>> Did I have to say this? I don't think so. But your intentions here 
>>> are vague. But if you need support for your own gains in 
>>> understanding the subject, you just have to do it the way I explained 
>>> above. Then you will get that support. Not from Bozos and 
>>> "engineers", but from me and anybody with actual physics background 
>>> and such trainings.
>>>
>>> There are a few actual physicists in relativity group that can join 
>>> in, but only if you do it the way I explained above.
> 

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