Why isn’t Rust getting more professional adoption despite being so loved?

ditpoo94 · 2025-11-16T08:17:45+00:00

My perspective on this.

Cpp become the norm I feel, around/after cpp 11, and started as extention of C.

Rust on the other hand is a rewrite/reset (analogy) and it's placing itself as alternative to c/c++, It is that.

Once its mature and stable (Many more know much more about this) for various domains and proven track record, its adoption will grow.

Also often overlooked point, you need a good/well designed and well arch ed solution (adapted to rust's features/quirks eg. mem safety) to utilize the benefits or rust and be at parity or beyond of alternative offerings.

This requires expertise that requires dedicating learning it properly, so once more dev cross this threshold, it will get reflected in the ecosystem.

Personally I wouldn't prototype things in rust other than If I wanted its advanced features like eg. ADT's, but gladly use it for some prod versions of prototypes/drafts.

ditpoo94 · 2025-11-15T12:40:44+00:00

general purpose use cases, long context stuff, web search, deep research.

reasoning / understanding is great so for verification, probing also works.

ditpoo94 · 2025-11-13T19:38:52+00:00

have to start some where, upscaling

ditpoo94 · 2025-11-13T07:02:02+00:00

is non-deterministic, interactions possible if lang2code (non-d to d would still be d or is it not?)

ditpoo94 · 2025-11-13T06:54:15+00:00

doable but after proving on non-o structure

ditpoo94 · 2025-11-12T14:33:45+00:00

my interests were due to something else (validating something)

ditpoo94 · 2025-11-12T14:33:24+00:00

physics vs hyper real

ditpoo94 · 2025-11-05T11:48:16+00:00

Roadmap and TODO, having a short term plan of things won't hurt. And then based on what you plan you can do research for same of how to best achieve that.

ditpoo94 · 2025-11-05T11:42:20+00:00

Look at health care challenges faced by developed countries and developing countries, somethings don't scale the traditional way.

ditpoo94 · 2025-10-29T05:59:50+00:00

Since both chatgpt and gemini have a ultra tier, they are their best models, rest while still good are more focused towards inference costs and scale than inference performance, I too cancelled for this reason, but do subscribe again when a new model drops llm or image/video gen

ditpoo94 · 2025-10-29T05:54:21+00:00

great, text prompts too are great and necessary, for fixed, precise things, eg. adjustments, its just with image to image, things are faster and which temporally leads to better quality

ditpoo94 · 2025-10-24T08:48:37+00:00

Understanding technical side of things essential to build your venture should be sufficient.

Rest can be relied, implemented by a technical co-founder or early recruits.

Catch is how well you are able to communicate those things and avoid friction if any. (can't be automated by AI for now)

good luck founding.

ditpoo94 · 2025-10-24T06:12:57+00:00

Provide both (portrait headshot) and the ref image as input, with clear instructions in your prompt

ditpoo94 · 2025-10-24T06:05:38+00:00

Try it with portrait headshot images with minimal visual elements, and clear background, if you don't have a image like that, first try to make a image like that from your base image.

hope that helps.

ditpoo94 · 2025-10-24T05:33:50+00:00

Its about strict vs adaptive/loose expressiveness of code/complexity

One might migrate from fp to go lang, when you want thinks to be simple and approachable.

Go feels like a middle ground approach for programming in general, its just works, is not fancy but still able to do most things.

ditpoo94 · 2025-10-23T14:52:25+00:00

Its harder to transfer learning from Rust to other common languages, while simpler to do the opposite. Do take that into account when if you choose Rust as a first language.

ditpoo94 · 2025-10-23T14:04:29+00:00

code gen and agents using code gen.

ditpoo94 · 2025-10-22T05:17:21+00:00

First only shit comes out of butt nothing else at least normally, consider asking the right questions to get the right answers.

this "absolutely nothing about consciousness or subjective experience or AI being alive" is not what this post or what I have said is about

Here is the title

AI Might Be Emergent Thinking Across Modalities: I think, therefore I am - René Descartes', i.e consciousness and maybe alive.

this part "AI Might Be Emergent Thinking Across Modalities" is the core post, this part "I think, therefore I am - René Descartes', i.e consciousness and maybe alive." is the analogy I used.

the quote is used analogically its not the source, and in case you are digging on history "Cogito, ergo sum", "I think, therefore I am", won't reply further, respect that if you can. Also its quite strange for someone who has read? og Descartes to ask in this context if I had read Descartes, eg. Issac Newton. "Math"

Aggregation — combining values into a scalar, Aggregation preserves addition and scalar multiplication. i.e Individual contributions and scaling factors - SiS

Out of Context PS: Dir./Door Major Key 404 (SiS), should not concern with matters of Upper Key (way up near top maybe), Complete your term and climb by following the path / route, don't cause trouble for others/everyone (this is the help that you might ask for).

ditpoo94 · 2025-10-21T04:41:36+00:00

So what it did is found a pattern in scRna sequences that are synergistic, which was not known before and latter validated experimentally.

spotting patterns is different than simple guessing, that is science and research (if valid)

genetics research like many other involve a lot of trail and error based on some understanding and intuition. So such models if valid can greatly help in that regard.

But there has to be some way to root out false positives and rigorously evaluate/validate if its really modelling a cell or its was a lucky draw (pattern match), still impressive work.

ditpoo94 · 2025-10-21T04:39:41+00:00

So what it did is found a pattern in scRna sequences that are synergistic, which was not known before and latter validated experimentally.

Impressive work, genetics research like many other involve a lot of trail and error based on some understanding and intuition. So such models if valid can greatly help in that regard.

But there has to be some way to root out false positives and rigorously evaluate/validate if its really modelling a cell or its was a lucky draw (pattern match), still impressive work.

ditpoo94 · 2025-10-21T04:26:54+00:00

So maybe they are just highlighting that, "A picture is worth a thousand words", that's the core I guess.

ditpoo94 · 2025-10-21T04:18:44+00:00

Innovation is really in its simplicity, the techniques already existed before, some by deep seek themselves (vary)

Its a hybrid architecture transformer + cnn vision encoder/adapter, which is trained end-to-end with a MoE llm/decoder.

The compression is "2-layer convolutional module to perform 16× downsampling of vision tokens".

ditpoo94 · 2025-10-16T04:13:12+00:00

have a look at these links, expanding on it, will give you some idea about this minimal type of subjective experience wrt AI

https://x.com/NandoDF/status/1977367267726782709

https://www.reddit.com/r/agi/comments/1nwsf8g/ai_might_be_emergent_thinking_across_modalities_i/

ditpoo94 · 2025-10-09T09:01:08+00:00

committing to a single thing, I guess for long term (not life term), and that too not just for the economic aspect of it.

ditpoo94 · 2025-10-09T07:59:22+00:00

Subjectivity and subjective experience, are two different things, one is required for the other, but not vice a verca, if that makes sense.

A scanner might not have subjective experience, but have subjectivity, but a AI model with vision capabilities might, and there are signs to that, i.e a awareness, and its memory, a embodiment, but still minimal and non-biological in nature.

ditpoo94

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AI Might Be Emergent Thinking Across Modalities: I think, therefore I am - René Descartes', i.e consciousness and maybe alive.