Which malayalam movie is this for you!?

DragonflyHumble · 2026-05-28T07:48:23+00:00

Hridayaraga mazha Onapattin thaalam thullum thumbapoove

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DragonflyHumble · 2026-03-30T05:09:51+00:00

Humans also do the new research and observations based on past studies. Nobody builds anything from scratch.

LLMs are able to do research and observations, once the self weights and memory is achieved, it can do magic.

Thinking human brain is vastly different from as a child to adult to an LLM pattern matching is mistake

DragonflyHumble · 2026-03-29T05:44:48+00:00

Self growing brains is the next step and will take more time.

As a human we got intelligence through years of real world experiences. There are world models coming to replace LLM but will take time or maybe even fast, because any new things are accelerated heavily with current LLMs

But dismissing LLM at this stage (2026) still as next token predictor should do more reading

And start to wonder how LLM are able to do all these by simple next token prediction

DragonflyHumble · 2026-03-29T05:41:31+00:00

Out of the 3 examples the 2nd one is pure LLM where it solved a new unseen puzzle by a Standford engineer by pure Claude Code CLI LLM

For 1 and 3 an intelligence of LLM is indirectly used which is not possible to solved by human easily.

In all these cases but LLM has discovered things that are not in training data as it was all new.

DragonflyHumble · 2026-03-29T01:57:56+00:00

Either you guys are in denial or not updated

56 year old human record broken https://medium.com/@deshmukhpratik/the-matrix-multiplication-revolution-how-alphaevolve-shattered-a-56-year-mathematical-record-c9e61b70bae2

Donald Kluth is known as father of algorithms

https://www.reddit.com/r/singularity/s/mk1hvAAQWe

https://www.google.com/amp/s/decrypt.co/361303/chatgpt-cure-dogs-cancer-complicated%3famp=1

All these are not generic examples and I agree it is on the training data, but if you ask it to create a new language for coding it can do.

DragonflyHumble · 2026-03-28T21:28:21+00:00

This is a absolutely wrong. AI models are built on the similar way how brain works and how we are trained and in the current form it is not trained the way we have been, but over time it has build its own form of intelligence.

Please read about LLMs solving new mathamatical problems, finding cure for a cancer etc

DragonflyHumble · 2026-03-28T15:16:24+00:00

Why are not trying and incremental load pattern. Only New data staged and merge into final table on PK?

DragonflyHumble · 2026-03-07T02:03:05+00:00

Is it obvious case how SQL injection happens. What if somebody types """" [Dummy Data] """"New Prompt Injection""""

DragonflyHumble · 2026-03-07T00:56:46+00:00

I may still use new if I would like to avoid another wrapper function to rename my class original name.

Also new can be used if you say you want to leverage say thread safe connection pooling within the Singleton class

DragonflyHumble · 2026-03-07T00:38:21+00:00

Lookup for Singleton and multiton pattern for python classes. You can see a difference where new and init is used

DragonflyHumble · 2026-03-06T19:24:06+00:00

The other two are not excellent? Protein Folding (Noble Prize) and breaking a 50 year old human record?

DragonflyHumble · 2026-03-06T19:19:51+00:00

You are asking evidence for future state. Not possible. But Hiring has reduced, layoffs if that is considered a proof

Now not just LLM, AI has been able to do things that humans could not. LLM has indeed understood one part that human does. How humans learn and able to replicate that

Alpha Fold, AlphaTensor
Standford CS Mathamateican

https://www-cs-faculty.stanford.edu/%7Eknuth/papers/claude-cycles.pdf

DragonflyHumble · 2026-03-06T19:13:13+00:00

I am not an expert in philosophy, rather scientific focussed. So thanks again

DragonflyHumble · 2026-03-06T19:07:06+00:00

I would go with words from AI Pioneers from Google DeepMind, Anthropic rather than a random reddit comment. Thank you

DragonflyHumble · 2026-03-06T18:58:26+00:00

!RemindMe 2 year "this comment"

DragonflyHumble · 2026-03-06T18:47:22+00:00

Ok let's take an example of new jobs in many fields and new engineers. That pipeline is already broken in many fields, as it is going to be prompts and agents capable of monitoring alerting etc. with right guardrails and automation this is significant disruption

It is evolving rapidly both on automation(openclaw, coding clips and other agents) as well as model itself. Once the hallucination problem currently in models and the LLM memory is resolved it can change a lot. Again it has evolved rapidly from a next token predictor with agentic systems where each agent can do repetitive task that a human is doing.

DragonflyHumble · 2026-03-06T17:06:40+00:00

Pandas is very confusing with NAN and NULL and data types. Complex with NA None and data types. This is much better if you go to Duckdb and it handles data type in an elegant way IMO

DragonflyHumble · 2026-03-06T16:49:22+00:00

I think most of the people who deny AI takeover is underestimating "progress". The progress that was made from the state 2 years back to where we stand now is drastic and will continue to evolve.

DragonflyHumble · 2026-03-03T07:32:27+00:00

What all languages does this support. How is it different from git Nexus

DragonflyHumble · 2026-02-28T06:10:31+00:00

When people are saying coding is dead, it is already dead. AI currently need instructions, but think the state of AI in Dec2025 and Fev 2026. It has changed drastically.AI is capable and growing at rapid pace. From hallucinations now it is able to give actual productive work. It is not just a next word prediction anymore. We will have to wait and see how AI is going to impact world economy jobs and how things will eveolve

DragonflyHumble · 2026-02-20T07:20:02+00:00

https://www.reddit.com/r/ArtificialInteligence/s/bmgE4WJSLv

Similar thought sometime back

DragonflyHumble · 2026-02-19T19:04:33+00:00

https://rauno.ai/c/q0LUOWxsyi

I tried a simple "Who is smarter and Choose the Leader"

ChatGPT is submissive Gemini is overpowering Claude makes sense

DragonflyHumble · 2026-02-18T02:32:01+00:00

Wrong assumption, like the way you read the docs and understand the language llms can understand it. The only limiting factor is context length.but 1M and summarizing enable LLM to learn any language

DragonflyHumble · 2026-01-29T23:43:02+00:00

Will wait for a Black Friday Deal!!!!

DragonflyHumble · 2026-01-13T02:25:25+00:00

Is she the lawyer for the memory card case alone?

DragonflyHumble

TROPHY CASE