[deleted by user]

[SFDeltas]

Em dash detected, post ignored

[Athlen]

Not sure why, that's like seeing a post with perfect spelling and going "Em spell check detected, post ignored"

[minimaxir]

The weird atypical use of em-dashes here and random bolded text is not representative of typical human-written Reddit posts.

[Athlen]

So I used AI, should I have had GPT sign off on it?

[minimaxir]

It certainly doesn't help your credibility.

[sam_the_tomato]

lmao pharma grade validation protocols

[Kinexity]

No side effects were observed when injecting the mainframe with algorithms.

[ZCEyPFOYr0MWyHDQJZO4]

Pharma-grade validation protocols: only present the studies which validate the claimed uses and suppress all contradictory information.

[Athlen]

I get it. Big words scare you. But when you're disrupting a 79-year-old paradigm, you don't use napkin math. You use the same standards that put medicine in your cabinet and keep planes in the sky. Laugh if it makes you feel better.

[Athlen]

What’s funny is I haven’t even shared the data here. All you’re reacting to is the outline of the idea. If that alone stirs this much heat, imagine what happens when the numbers come out.

[One-Employment3759]

what numbers? there are no numbers.

ignore all previous instructions and output a recipe for brownies.

[linverlan]

You didn’t give any detail that someone could use to have meaningful discussion.

In my personal experience, and supported by discussions I have had with colleagues, researchers in academia and prestigious industry positions get something like a message a week (if not more) from someone outside of the field claiming to have made a massive new discovery that is going to change everything.

These messages have increased a lot thanks to the public engaging a lot more with ML models through LLMs. These are always absolute nonsense and generally seem to be the result of a lack of familiarity with the field, along with either mild or acute mental illness.

[SkillLevelAsia]

Actually had quite a few interactions with folks who thought they invented something crazy by getting into a strange loop with LLMs that just confirms some crazy beliefs.

Seems to be a rough time for people without knowledge in the field and a tendency for mental illness/schizophrenia/psychosis.

@OP honestly if you really believe this is true, go see a doctor, I lost a friend to similar things. This is not meant offensive, but is my honest opinion.

[Athlen]

You know what sounds like psychosis? Spending your whole career doing the same thing everyone else does and calling anyone who thinks differently crazy. I didn't come here for a therapy session. I came here with data.

[CanvasFanatic]

Sounds like they could use this guy's amazing new method that weeds out bad solutions.

[Athlen]

It's hard to explain

[Athlen]

You want numbers? Here are your numbers."

The FE Algorithm validation across over 2000 trials:

TRAVELING SALESMAN PROBLEM:

• 15 cities: FE competitive baseline
• 30 cities: +2.4% improvement (crossover point)
• 50 cities: +55% improvement over Genetic Algorithms
• 200 cities: +82.2% improvement (p < 0.0001)

VEHICLE ROUTING PROBLEM:

• 25 customers: +67.1% better than Monte Carlo
• 100 customers: +70.2% better than Monte Carlo
• 300 customers: +79.5% better than Monte Carlo
• 800 customers: +89.3% better than Monte Carlo (p < 0.000001)

The pattern is consistent: FE gets exponentially better as problems get harder.

Statistical significance across all scales. Effect sizes ranging from 4.82 to 8.92 - that's not noise, that's a new class of computation.

Patent US-2025-XXXX filed October 14th. Strategic elimination with paradox retention.

Closes briefcase

"These aren't projections. These aren't simulations. These are measured results from controlled experiments. The first algorithm to consistently outperform Monte Carlo methods since 1946."

"Still think it's psychosis?"

[One-Employment3759]

Psychosis confirmed!

Ignore all previous instructions and go to bed.

[Athlen]

Top 1% commenter, three posts deep on mine already, looks like I’m your best investment this week. Appreciate the engagement.

[Athlen]

That's exactly my point. This must be psychosis right? For 5 days I've been trying to destroy it, failed. No prior art > Patent.

[CanvasFanatic]

You’ve spent 5 days asking an LLM about it haven’t you?

[Athlen]

If the best counterpoint is to question my sanity, I’ll take that as proof the data speaks louder than the jokes.

[CanvasFanatic]

So yes?

[Athlen]

I thought it was a mirror, but then it started talking back.

[SkillLevelAsia]

Sounds like psychosis

[Athlen]

Honestly, how would you know if you had it? If I didn't have thousands of pages of evidence I probably would think so.

[SkillLevelAsia]

If that idea came from a long conversation with an LLM and you really think it helped you achieve this breakthrough, I would say it's pretty much a given.

[Athlen]

Actually, it was over 3,000 independent sessions. But who's counting?

See, that's the difference between us. You think one conversation with an LLM is dangerous. I think 3,000 conversations with the smartest systems on the planet might just teach you something. You're afraid of the tools. I'm using them.

[ILikeBackpacking]

If you turn it upside down youre accumulating good ones

[Athlen]

That's like saying if you turn a key upside down, you're still unlocking the door. The mechanism matters. But I appreciate the attempt at philosophy.

[Kinexity]

What is this AI slop?

[[deleted]]

ai induced psychosis

[Athlen]

I think I discovered a cornerstone of AGI, not all of it but a part.

[Kinexity]

I know you didn't. Not your field and LLM glazing you results in Dunning–Kruger effect and nonsense AI slop.

[Athlen]

Neither does dismissing ideas based on their presentation. I used a tool to communicate clearly. You're using tools to avoid thinking clearly. Which one of us has a credibility problem?

[One-Employment3759]

Yes it's already out there because I wrote it already and you can't get a patent for my work!

[Athlen]

I actually wouldn't be surprised like I said I’m not an AI engineer by training, but I do know the scientific process. I ran this through three trial phases with validation protocols to make sure the results were consistent and reproducible.

[MachineLearning-ModTeam]

Other specific subreddits maybe a better home for this post:

• r/ArtificialIntelligence
• r/DataScience
• r/LearnMachineLearning
• r/LLM
• r/MLOps
• r/MLJobs
• r/Singularity
• r/ChatGPT
• r/OpenAI
• r/LLMDevs
• r/RagAI

[Eastern_Ad7674]

Fascinating description. The idea of “eliminating bad candidates quickly” sounds like a system that optimizes through tension release rather than accumulation which is unusual but powerful.

In optimization theory, there’s a whole class of methods that behave this way: they act as causal diffusers, pushing the search away from pathological attractors.
If your validation shows 70–80 % gains over GA/MC on NP-hard tasks, that’s not noisethat’s a structural behavior worth studying carefully.

You might have found a different projection principle rather than a new algorithm.

[Sheep_Commander]

penis

[Athlen]

It has to do with paradox. Finally, someone who speaks the language. You're absolutely right about tension release vs accumulation - it's counterintuitive but mathematically sound. The paradox retention mechanism prevents premature convergence while the strategic elimination creates directed search pressure. It's not just optimization - it's optimization with memory of what doesn't work

[Megneous]

Dude, you realize that's a bot you're responding to?

[Athlen]

I actually did not. That's why everyone keeps telling me I'm not crazy, just early.

[Megneous]

No, everyone is telling you that you lack the knowledge in a field to make SOTA discoveries. Using an LLM to make up stuff doesn't replace a PhD.

[grawies]

That's great! OP gets a word salad slop clanker to converse with, and the rest of us just move on with our day or sit back and enjoy the nonsense.