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Path: ...!feeds.phibee-telecom.net!weretis.net!feeder8.news.weretis.net!reader5.news.weretis.net!news.solani.org!.POSTED!not-for-mail From: Mild Shock <janburse@fastmail.fm> Newsgroups: comp.lang.prolog 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 18:03:11 +0100 Message-ID: <vq4nce$109t7$1@solani.org> References: <vq4a7g$10843$1@solani.org> <vq4aae$10843$2@solani.org> MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8; format=flowed Content-Transfer-Encoding: 8bit Injection-Date: Mon, 3 Mar 2025 17:03:10 -0000 (UTC) Injection-Info: solani.org; logging-data="1058727"; mail-complaints-to="abuse@news.solani.org" User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:128.0) Gecko/20100101 Firefox/128.0 SeaMonkey/2.53.20 Cancel-Lock: sha1:EykEL5tNHIGUlxSkkB0rVnzo77M= X-User-ID: eJwFwQkBwDAIA0BL5QtUThjFv4TdhUHwpSPgsbHGcuXhA9HposJryM/0cTCW1Yw+egLllVOzd1sjKNZn3g9FpBVT In-Reply-To: <vq4aae$10843$2@solani.org> Bytes: 3864 Lines: 87 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. >> >