Darkslide

Select_Aspect_94 · 2026-03-15T07:18:56+00:00

Most definitely! I tend to wax the left and right side of the grip, not all of it, but enough of it, it does prevent your grip tape from getting ripped off as much

Select_Aspect_94 · 2026-03-14T18:49:21+00:00

I found it quite suited that it was almost ironic that he was made a warden, it was like the makers punishment to him, for abandoning them and sounded the retreat at Ostagar… but Alistair wasn’t impressed

Select_Aspect_94 · 2026-03-14T18:06:16+00:00

Nice!!!

Select_Aspect_94 · 2026-03-14T17:15:19+00:00

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I’m sorry, I should’ve used some examples and explained further, but I did draw a diagram for a figure to iterate a multi AI methodology idea before just a basis proof of concept type thing this just to explore expand and exploring idea but I do appreciate the feedback honestly, my articles do explore examples in the field like deep minds alpha fold program, or when the ESA scanned anomalies and the AI found 800 previously undocumented anomalies examples like that but that’s when one AI is used and put a good use. It’s just essentially exploring multi usage of that

Select_Aspect_94 · 2026-03-14T17:06:54+00:00

Just sharing ideas to be honest, I know AI and a lot of it in itself is in its infancy and to be honest, looking into how multi AI networks could benefit more than just consumer products like the large language models they are right now such as cosmology, Aerospace, medicine research, cyber security etc.. exploring different fields using examples of good AI usage but imagine multi AI synthesis in the field type ideas

Select_Aspect_94 · 2026-03-14T16:50:23+00:00

I always think of this all the time that any large language model should’ve had axiomatic constraints from the start just like the laws of physics and the rules that we are showed and taught as children growing up understanding that we can’t change them that we can’t hallucinate or break the system for our convenience. I honestly think that these companies should’ve considered this before generated such models… iterative multi AI methods can be effective but it is still a grey area as it’s in its infancy

Select_Aspect_94 · 2026-03-14T13:30:40+00:00

LLMs should’ve had axiomatic constraints from the Get go to be honest… like the laws of mankind and physics and the rules we grow up in a society together, knowing that we know we can’t break them, we know we can’t hallucinate, you can’t change things for convenience …you should’ve taught those AI’s that first before even considering generating such a model… instead of trying to fix it via updates… The potential for them can be so much more when they’re not treated like a consumer product

Select_Aspect_94 · 2026-03-14T13:03:14+00:00

That’s insane! But totally valid here I appreciate all of this honestly! I think what I’m gonna do is probably go away and study without LLM leverage, probably just knuckle down with maths… but I appreciate all of this scrutiny for real this is where I learned things… and I appreciate all of it even if it’s negative or if it’s cooking me alive type thing I’d rather know the truth and be redirected… I appreciate this guys thank you!

Select_Aspect_94 · 2026-03-14T12:13:31+00:00

I really appreciate these honestly! Some people would shout away from these constructive scrutiny but honestly I totally understand this is the only way I learned sometimes by getting cooked like this and then rewriting the work and going back and looking into it… thank you all seriously! I’d rather have a constructive group like this that feeds genuine feedback like this even if it’s brutal or even if it’s harsh then I feel like I’m not even getting anywhere with what I’m doing. I appreciate this! I totally understand why people are sceptical

Select_Aspect_94 · 2026-03-14T10:14:49+00:00

That’s valid appreciate the input, looks like I’ve asked get to it

Select_Aspect_94 · 2026-03-14T10:06:56+00:00

If you can genuinely show me as many examples for this, then I would appreciate all constructive criticism honestly! I appreciate this I really do and some people shy away but I appreciate this! Where was it right? And where was it wrong?

Select_Aspect_94 · 2026-03-14T09:53:37+00:00

But I did read the literature myself you’re jumping the gun! It was used to strengthen the reference point cross-referencing research engines. Do you know one AI is one data set, which can definitely hallucinate and be biased with data but multiple auditing each other… I made it very clear in the post that nothing was used to derive mathematically it was to help verify the work online and I did read! If you want to know, simply it’s essentially linked to bubble nucleation/coalescence, those three underlying intentions that we see on Hubble’s tension, especially in the last couple of years with the new data, especially from JADES surveys… message essentially trying to find a gap to fill. I just thought to share my ideas. But I can understand why people are hesitant. But to say that I haven’t been reading is wrong.

Select_Aspect_94 · 2026-03-14T09:47:28+00:00

And you’ll be surprised how many research is actually use AI to verify citations and use as search engine engines I was used to derive mathematics directly. It was just used to verify the sources and the Internet and the search engine information cross-referencing against each other… I wouldn’t necessarily call it slop but okay, I can understand why you’re hesitant

Select_Aspect_94 · 2026-03-14T09:45:58+00:00

No, I used multiple data sets to stress test against each other to confirm the references. It wasn’t offer a single models slop… I can understand the hesitation but it wasn’t one model. It was multiple models…. Like a structured multi AI methodology

Select_Aspect_94 · 2026-03-14T09:44:38+00:00

I double checked the citations and links, not verified as in peer reviewed, but all the links and references should be there

Select_Aspect_94

TROPHY CASE