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Submodule mes
updated
from 73fecc to d997c1
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Idea: | ||
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Trace execution for finding attention points using perf. | ||
Build model on foundational functions. | ||
Looking at guix, what are the key functions. | ||
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Create a stack of pdf files, one per block of functions in a hierarchy dependencies | ||
that contain all the data needed. | ||
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Lets consider starting with our divergent ideas and how we can reach | ||
consensus using llms. |
Submodule contrastors
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Submodule distilabel
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* ideas of the day | ||
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** starting point for people | ||
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Many people ask me what are the key technologies to learn, and they are changing all the time. | ||
It is hard to commit to a specific thing, because of the fluid nature of the market. | ||
But let me tell you what I feel is important, | ||
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*** Freedom | ||
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The freedom to develop without restriction I feel is key, | ||
if we try to avoid depending on accepting licenses and restrictions | ||
while if we do have to accept it, we can work to remove them, isolating them into boxes. | ||
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The things that go against this freedom are : | ||
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**** GPU and CPU. | ||
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This reliance on GPUS from nvidia and chips from Intel and AMD | ||
represent one of the biggest strangleholds on our market. | ||
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***** nvidia cuda | ||
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This is one of the main pain points of development with AI. | ||
It has all types of restrictions associated with it. | ||
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**** Cloud services. | ||
***** AWS | ||
**** Code hosting | ||
***** Github | ||
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**** Networking services | ||
***** Cloudflare | ||
***** Verizon fios | ||
***** Tailscale | ||
***** DNS services | ||
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***** libp2p | ||
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**** AI inference | ||
***** Bing copilot | ||
This is a very good AI service but it also has all types of downsides. | ||
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* Computational complexity | ||
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Submodule read_paper
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Submodule OLSP
added at
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Submodule emacs-lsp-scheme
added at
992512
Submodule monitors4codegen
added at
52ccb4
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* idea | ||
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Consider a closed world model where all variables are defined and know. | ||
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We have an application that we can run and it does the same thing over again. | ||
We can trace the steps of the execution and inspect them. | ||
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Extract a list of logical chunks, and give the count of chunks | ||
Extract a list of logical chunks, and list the bullet points | ||
Extract a list of logical chunks, and display chunk number N | ||
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We can then look at each chunk of the code and ask: | ||
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Explain this. | ||
Rewrite this into language: | ||
python, json, yaml, coq, haskell, ocaml, c++, | ||
prolog, scheme, owl ontology, x86 assembly, shell, | ||
wasm, emojilang, math, goedel numbers | ||
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Extract a list of features from this | ||
Extract a list of types from this | ||
Extract a list of propositions from this | ||
Extract a list of named entities from this | ||
Extract a list of classes | ||
Extract a list of functions | ||
Extract a list of modules | ||
Extract a list of questions and answers about this code | ||
Extract a list of dependencies | ||
Extract a list of prerequisites | ||
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In the format : json, yaml, sexpressions, turtle/rdf, dot(graphviz), emojis, godel number, pytorch | ||
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* implementation | ||
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find a guile scheme lsp and apply it to itself. | ||
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use lsp interface to traverse the program. | ||
construct a dag of dependendences |
Submodule scheme-lsp-server
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Submodule guile-language-server
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Submodule racket-langserver
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Submodule scheme-lsp
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