yep its nice that tomorrow is also holiday. then;

some half of day: I would continue to work on library design initial DSLs

other half of day: would continue studying book. not expecting to have finished by tomorrow's end unfortunately since I did alot laziness. but also studied. but also did studied slow with laziness. 

but I think at this knowledge point, I could start coding the library/design of it. 

would be quite challenging and interesting task. 

hmm would use a knowldge db. (graph db) to store DSL definitions/knowledge. and its definitions. 

yayyy this following 4 weeks would be kind of challenging.  

I for a moment queried, when it would be inventive enough to figure out design e.g. matrix factorization algorithms alike methods by itself? the geniusness of humans, when it would surpass humans geniusness? 

e.g. its out of the box thinking to devise neural networks, which some of them could be very simplified by matrix factorizations (of course not all but).

so  I wondered, when a generalistic ai would become thagt much inventive that it could itself invent neural networks like methods and optimization methods used there. 

maybe thats a heuristical approach, as then its very important to have ai also have this heuristic human approach to invent technologies heuristically.

I were just thinking of, i mean since the ai is intended to creative inventive solutions. I was wondering, when it could have surpass we humans capabilities in these. then i thought heuristics is not a very challenging attribute to add. 

I just mean its just not that these features are any ready, I am just thinking of like a quarter later, where this ai/ml algorithms would be? would it be in place of even capable of inventing matrix factorizations heuristical approaches by itself? I think then thought how it could invent optimization methods even expectation maximization or LK divergence methods or entropy concept or information index concepts. When would ai become as intelligent as Shannon alike intelligent people? 

Then I thought one of the ingeniuity of human intellect is having a heuristical intelligence. and also methods of triangle inequality to poset structure based logics etc. so its imho achievable. 

so I thought of these queries and thought yepp, by last quarter of this year, we would achieve and surpass human intelligence in these skills. in  out of the box thinking approaches also (heuristical approaches). 

I thought these edge cases for invention capability for this ml project. and yet I reaffirmed to myself with thinking some about this last hour's some 10 or 20 minutes or so, I concluded, that it would be possible (to reach out and surpass human intellect (in terms of inventive thinking capabilities)  even when inventing such aforementioned algorithms  like neural networks alike MF methods etc. )

yayyyy then we would be able to start our accelerator design by last quarter of this year wishfully and also quantum computer design. these be the schedule of this project. by october or november, this project should be ready/ and alreadyt should  have had surpassed human invention skills. yep. 

( since I want to automate (& surpass) human intellect (in science) in this project. by last quarter of this year.  since I did lot unfocus and laziness in 2022 and 2023 (originally this project had schedule of accomplishing these in last quarter of 2023). actually in 2022 were even more hardworking than 2023 (in terms of this project) . 2023 were nearly full laziness time. (I mostly rested in 2023 wiht watching sci fi tv shows alike for most spare time)  (2022 i were I think sparing alot time to this project. at least first two quarters of 2022 imho).  2023 were alot laziness. 

I think following 4 weeks would be quite alot challenging. since I am designing DSL of this representation theoretic/group theory layer constructs/DSLs following 4 weeks. quite alot interesting task also /curious task and very challenging also.

I am very curious to challenges of this library. It would be quite interesting.  to define a DSL which inferences are also defined as mostly as DSLs and only paritally there exists some translations accomplished through some Lapack like libraries integrations. but that being very not much amount. even inferences would be also defined as mostly DSLs. and methods to infer also :) 

one most quite interesting coding challenge imho :)

coding everything as DSLs. even inference mechanisms either :) 

would be quite interesting/challenging. quite enthusiastic about. even would be quite challenge either. 

yayyy I am so eager to start this intellectual challenge. quite a lot challenge. and quite curious to start on tomorrow yayy :)

Its always joy to me to write something like compilers. even this DSL topic does nto fully match to compiler concept. it still is alike similar to compiler building process. so I by default very like this task. cause I always like writing compiler tasks like tasks as a coder. (compiler writing tasks type always interesting coding tasks imho. ) 

I always enjoy writing compilers. (some coders like writing compilers like coding tasks )

even this task is not fully alike writing a compiler, again, still, it resembles. so thereby this task also by itself becomes curious interesting task to me (due to  resemblance to compiler writing type coding tasks) 

maybe previous tasks of this project were boring kind of hard to focus (due to adhd) 

but i dont think it would be like that now. :)  I mean in this phase which resembles as if writing a compiler type library creation process. 

yayyy it would be joy. to write this library. (cause I always enjoyed writing compilers type coding tasks as a coder ) 

for a lot time, this ml project's tasks were always adhd creating (since I have to study phd/msc books which is quite alot challenge :D ) (or like finish online NLP course in a day or so like again boredom tasks). 

this is the first nonboring task of this project :D

even ontology db generation from ontology db were quite alot boring (and that task partially complete/not fully completed. ) 

I mean its first time, as a coder, I came up to a nonboring tasks among various tasks of this project that I been studying to last 3.5 years.  (I think but 2023 passed all most all with laziness :)  and some last quarters of 2022 also again passed with laziness )  

its first time i come up to some nonboring task for this quite alot long term project. 

there would be boring tasks ahead again. e.g. ontology db task completion. nlp to abstract algebraic translations module etc. 

but for now, for following 4 weeks, this library task is none boring at all. 

(but as mentioned, after this tasks completes, there would be again very boring tasks in following quarter of 2024).  (NLP to algebra like topics. etc etc.)

so this is the first nonboring task of this project (and maybe only singular nonboring task).

of course even if this project is mostly boring, since its important (since I would build an accelerator to check new physics and build some quantum computer etc etc via this project)  I perpetuatedly study to.  since yepp it would be imho going quite interesting to surpass by this year's last quarter human invention skills in science. yayyy :)   

(of course I wont automate science. except this project tasks. I mean I would automate only project tasks. but I wont take scientists people's job from scientists via creating it such service.  since we should learn how to exist with superior technology.  and we shouldnt turn we humans to luddites in between. so, we would make sure that, i mean if we consider the  intellect  bionomics in planet,  we would make sure that superior tech wouldnt broke that. that it wont automate scientists jobs. )  (I think if we talk of automation, I think we coders jobs would be automated first even before scientists, if people start automating jobs). (but I want to assure all people that, I and our tech would not do automation any. we wouldnt effect/impact intellect bionomics of this planet any. (we wont take jobs via automation. (e.g. automation of coding skills. or automation of science invention skills etc). so I would use automated science buildiing/invention skills only in scope of my projects. without providing such ml skill as a service any.  since we do not want to impact/effect intellect bionomics of this planet any. )  (we would rather build new planets where science is automated. but we wouldnt alter world's intellectual balance/systems. ) (I mean we wont take scientists jobs any from scientists any time (in this planet).  nor coding jobs from we coders either (in this planet) . )  (just to restate this aspect of this project many times I stated before also. )  (this is one core tenets/principals of this project.) 

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