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From: Mild Shock <janburse@fastmail.fm>
Newsgroups: sci.math
Subject: Salary Templates if you "Grok" ML / AI [PhDs Negotiate Salaries] (Re:
 Prolog Education Group clueless about the AI Boom?)
Date: Mon, 3 Mar 2025 18:05:28 +0100
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Hi,

Salary Templates if you "Grok" ML / AI [PhDs negotiate salaries]:

Tendency to go towards 500'000.- USD per year
https://x.com/chiefaioffice/status/1734329284821672270

But I guess you need to have the talent to train a ChatGPT.
Still very rare, I had interesting discussions on the internet.

LoL

Bye

         Final Annual    Initial    Negotiated
Company    Compensation    Compensation    Delta
OpenAl    $865K    $665K    30%
Anthropic    $855K    $855K    0%
Inflection*    $825K    NA    NA
Tesla    $780K    $702K    11%
Amazon    $719K    $520K    38%
Google Brain    $695K    $590K    17%
TikTok    $605K    $430K    40%
FAIR    $556K    $480K    15%
Google Research    $549K    $310K    77%
Waymo    $530K    $385K    37%
Deepmind    $515K    $452K    13%
Bloomberg Al    $460K    $318K    44%
Apple    $450K    $337K    33%
Microsoft Research    $449K    $270K    66%
Salesforce Research    $441K    $355K    24%
Toyota Research    $410K    $370K    10%
Twitter    $409K    $359K    13%
NVIDIA    $390K    $340K    14%
IBM Research    $377K    $262K    43%
Allen Institute    $350K    $310K    12%
Samsung Research    $285K    $240K    18%
Hugging Face    $238K    $185K    27%


Mild Shock schrieb:
> 
> My suspicion, teaching WalkSAT as an altermative
> to DPLL, and show its limitations would maybe give
> more bang. We are currently entering an era that
> already started in the end of 1990
> 
> when some new probabilistic complexity classes
> were defined. Many machine learning techniques
> have also such an aspect, and it will only get
> worse with Quantum Computing. Having
> 
> a grip on these things helps also distinguishing
> when a AI acts by chance, or whether it diverts from
> chance and shows some excelling adaptation to the
> problem domain at hand. Like here,
> 
> anybody an idea what they mean by “above chance”?
> 
> Intuitive physics understanding emerges from
> self-supervised pretraining on natural videos
> https://arxiv.org/abs/2502.11831
> 
> Mild Shock schrieb:
>> Concerning this boring nonsense:
>>
>> https://book.simply-logical.space/src/text/2_part_ii/5.3.html#
>>
>> Funny idea that anybody would be interested just now in
>> the year 2025 in things like teaching breadth first
>> search versus depth first search, or even be “mystified”
>> by such stuff. Its extremly trivial stuff:
>>
>> Insert your favorite tree traversal pictures here.
>>
>> Its even not artificial intelligence neither has anything
>> to do with mathematical logic, rather belongs to computer
>> science and discrete mathematics which you have in
>> 1st year university
>>
>> courses, making it moot to call it “simply logical”. It
>> reminds me of the idea of teaching how wax candles work
>> to dumb down students, when just light bulbs have been
>> invented. If this is the outcome
>>
>> of the Prolog Education Group 2.0, then good night.
>