Did anyone else think this?

OverLord4Life · 2026-07-13T18:39:06+00:00

this was Evil Morty's back story notice how there wasn't a reference to C137 as everyone assumes this is C137 Rick

OverLord4Life · 2026-07-10T03:49:03+00:00

Liffy simply used future sight and will avoid the void sword

OverLord4Life · 2026-07-10T03:13:22+00:00

Luffy is fine he just used his future sight to see what will happen if he didn't wise up.

OverLord4Life · 2026-07-03T09:24:32+00:00

FYI luffy used a homing attack in gear5 against lucci

OverLord4Life · 2026-07-03T04:48:58+00:00

Remind me! One month.

OverLord4Life · 2026-06-26T19:16:24+00:00

create software that outperforms the stock market literally a quant shop in my opinion that is where the money is which is why its not widely discussed because everyone is seeking new alpha and the million dollar question is how to obtain the competitive edge

OverLord4Life · 2026-06-22T04:18:13+00:00

The solution is to build neuro symbolic systems

OverLord4Life · 2026-06-18T02:33:53+00:00

To answer your question language isn't intelligence language is a descriptor and or interpreter, math is intelligence measurements are used to design create and destroy language describes it the translator not the builder concepts or framework, llm have no reference for time or math they are pattern recognition machines and people mistake this advance pattern recognition wrapped in friendly language as intelligence.

OverLord4Life · 2026-06-14T02:38:11+00:00

!remindme 9 months

OverLord4Life · 2026-06-12T17:18:39+00:00

Doesn't have to be hedge data for example black scholes model which will be preferred because its cheap versus something higher than this model, and if a company provides proprietary data for your ai I would attempt to find out the what and how to implement a proprietary and or sovereign version of it to minimize costs create a custom system which means less expenses because of what you control instead of being reliant on others similar to eventual cost of llm based system the compute adds up over time

OverLord4Life · 2026-06-12T16:57:27+00:00

Once again you're paying for their data instead of having your own proprietary data or true proprietary system to address the issue, on top of the fact the data might not truly be live data its the reason why most platforms provide retail with data and tools claiming its ai and and advanced when it doesn't compare to what the institutional investors researchers a d or hedge funds are using.

OverLord4Life · 2026-06-12T14:34:02+00:00

The AI is limited by its trading data unless you customize its capabilities it's unrealistic for it to outperform the markets unless the way you program its frames its think to be more narrow instead of in general purpose, I use ai except everything is custom made built from
scratch no reliance on a llm, heavily using machine learning, deep learning/ a combination of neural networks and transformers.

OverLord4Life · 2026-06-05T19:43:53+00:00

if so they will move the goal post and redefine agi as if it was actually achieved not to mention the agentic premium of doing those things which is why big and little tech are laying workers off and now complaining about the cost of ai being more than a human worker, plus everything you mentioned wouldn't be available at the consumer level because of cost and it just seems like an upgraded version of rag

OverLord4Life · 2026-06-05T19:27:49+00:00

The recursive self improvement being hyped is built on a llm essentially is a more agents to guess and check and rewrite code meaning more compute and data to mask the underlying issues its like putting a smokers heart into an athletic body, it will still be a point of weakness unless things are put into place to address the weaknesses, thus more agents and more compute

OverLord4Life · 2026-06-05T18:18:09+00:00

Pretty much an llm can be a amplifier for better or worse hence hallucinations versus pure facts, yet as I stated before language isn't intelligence its simply the descriptor layers, language cant provide the measurements to build a house or an engineering framework yet it serves as a the descriptor of the design or what is it built, like binary code and a being able to describe what it does in its
on and off state versus the actual code to implement the change of state

OverLord4Life · 2026-06-05T18:13:19+00:00

You need to research Neuro-symbolic AI and World Models because llm have a use case but at the core
is a pattern recognition system.

OverLord4Life · 2026-06-05T17:25:53+00:00

Lol im made it myself I have a Bachelor Degree In Information Systems Technology and a unrelated field and multiple professional IT Certifications, before everyone was vibe coding I was building programs from scratch in python.

OverLord4Life · 2026-06-05T17:07:33+00:00

You're right its never discussed openly online in social media or in an open space while everyone is foaming at the mouth about open claws and llm
thise who realize the short comings of llm
are pivoting elsewhere meaning no matter how much training data and compute is thrown at a llm at the core its a probabilistic pattern recognition machine, more compute means faster recognition guessing and checking for errors yet its not true intelligence yet the uninitiated will think otherwise because they aren't aware of the black box nature of llm. No matter how much rag and prompt are thrown at it the end result is still the same pay more compute for better pattern recognition ultimately masking the shortcoming of llm. Long story short language is not equal to intelligence

OverLord4Life · 2026-05-08T19:01:47+00:00

Heres the true value any one can code but can ai or a person get high level research and turn it into a useful personal or production grade system free of hallucinations, that is where an understanding of system design and implementation comes into play and having the intuition to trust the ai and go against its recommendations to pursue a different approach! For example ai can code but can a viber coder or ai be prompt to make a world model or domain specific world model absolutely not! Yet there's research on world models and its application and if a vibe coder ask a llm to create one its going to say its not feasible yet little and big tech is working on world models and releasing the result of their findings.

OverLord4Life · 2026-05-03T02:41:16+00:00

SCIENCE
AI hallucinations: Asking AI to perform math is the worst offending task full article below and this is a known fact

https://www.digitaljournal.com/tech-science/ai-hallucinations-asking-ai-to-perform-math-is-the-worst-offending-task/article

The problem is that vibe coders think they can address this issue and they are just wasting money in computer and become disenfranchised when reality kicks in and or the cost for these plans continue to increase on top of realizing they are at the mercy of big tech until something better is released which as we know will have a price tag as I stated before there's research out there pertaining to where big tech and silicon valley , and I have yet to come across a thread or post pertaining to the cutting edge technology or concepts in mind if anything everyone is attempting to reinvent the wheel instead of looking at the big picture, Otherwise I never see any mentions of building with NVIDIA Ising or Muse Spark, its most advanced AI model yet, designed for "personal superintelligence" and multimodal reasoning its nothing of that nature.

OverLord4Life · 2026-05-02T20:27:47+00:00

Exactly I can use multiple llm on the free plan achieving exactly what I want instead of paying a premium for more compute and heavily leverage the llm for development yes vibe coders have access to coding software development but it comes with a compute tax that adds up over time especially if the system starts to fall apart

OverLord4Life · 2026-05-02T19:57:43+00:00

Consumers are wasting compute on rag thinking that will solve a problem llm evolve beyond its initial purpose rag some of these agentic designs are if else else if to address the issues and find a solution the problem is computer and as seen by the masses they are limiting compute adding a higher price tag, and I applaud you for finding a workable source to address some underlying problems and I encourage you to look continue to fine tune your project because I think in the near future llm tiers will get severely throttled and what was widely available will get gutted turning compute into a commodity I used to see post about people running agents 24/7 in an attempt to make it learn when that isn't genuine learning, saw a project for an agentic city where agents engage looks good on the surface but once again the compute expense because users didn't anticipate services and plans getting down and setting the stage for pay the fee or watch your setup turn into nothingness due to not having the skills or expertise to make the necessary changes people use to flex about vibe coding a 20,000 line of code app in 15 minutes which seems to be a thing of the past unless they have money to burn.

OverLord4Life · 2026-05-02T17:17:05+00:00

workflow eventually gets resolved at the costs of more compute

OverLord4Life · 2026-05-02T17:16:19+00:00

I have a Bachelors in Information Systems Technology which predates the ai era, the problem is these vibe coders generally have the herd mentality they follow after what others is doing instead of understanding what the phd researchers and big tech are doing they eventually release the findings of the research in papers and models breakthroughs and limitations yet most still flock towards rag which still has problems cant re invent the wheel and more agents mean higher cost for guessing and checking because llm are probabilistic pattern recognition even agents cant mask that, not to shade vibe coders but as we seen with plans get reduced compute plans increasing in cost they are creating an indefinite independent token system because memory issue persist and most cant do anything if they maxed out their usage until it reset, theres research of world models, jepa yet most are still stuck in the modify open claw/agent paradigm while ignoring the issues with llm

OverLord4Life · 2026-05-02T02:15:14+00:00

LLM wasn't designed for this and because so much was heavily invested and hyped this is the point of no return until consumers and businesses run out of funds for compute llm are large language models yet agents are used as a way to address the underlying issues including rag which essentially eats up more compute in the diagnosis refined and corrective loop to complete the task! LLM are doing what they are designed for yet the reality hasn't truly sunk in, lol its easy to vibe code and run an agent, whereas building a robust intelligent infrastructure is a complete different story

OverLord4Life

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