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%
Post by Mild ShockMy 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
Post by Mild Shockhttps://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”
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.