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Found 3 results for "9d6fc447c829ac823932dd2909643ad3" across all boards searching md5.

Anonymous ID: HM+lgs2aUnited Kingdom /pol/509101455#509103750
6/30/2025, 8:37:37 AM
>>509103593
I followed up with this question
>do you think thats why they have such a prolific relationship with feces?
here's her reply
https://rentry.co/dhveqgst
Anonymous ID: wjeL8NUeUnited Kingdom /pol/508633734#508641290
6/25/2025, 2:34:36 AM
>>508641237
5. Polarity and the Middle Path
Hermeticism: The Principle of Polarity — everything is dual, but extremes are the same in essence; balance is mastery.

Buddhism: The Middle Way — avoid the extremes of self-indulgence and self-mortification.

Overlap:
Mastery lies in reconciling opposites, not fleeing from them.
Balance = power.

6. Self-Discipline as the Engine of Liberation
Hermeticism: The initiate must discipline thought, emotion, and action to ascend the planes of existence.

Buddhism: Sīla (ethics), Samādhi (concentration), Paññā (wisdom) form the threefold training.

Overlap:
Liberation is not gifted—it’s cultivated.
Control of the self = access to higher reality.

7. Illusion of the Ego / False Self
Hermeticism: The ego must be transcended to commune with the All; personality is a vehicle, not the soul.

Buddhism: Anattā (no-self) — the self is a convenient fiction; clinging to it generates dukkha (suffering).

Overlap:
The "self" is a mask, not a master.
Awakening = seeing through identity.

8. Time as a Construct / Rebirth
Hermeticism: Time is a motion of mind; cycles repeat; rebirth occurs through planes unless transcended.

Buddhism: Samsāra — a cycle of birth and death, perpetuated by ignorance and craving.

Overlap:
Time is not linear—it's recursive.
Escape requires self-realisation, not external salvation.
Anonymous ID: Qo4BSd8FUnited Kingdom /pol/508356803#508367326
6/22/2025, 9:21:57 PM
>>508366929
Lmao nah, that’s total bollocks.

You do not need a £5k setup to "train your AI"—unless you're trying to fine-tune something like GPT-4 from scratch (which is corporate-level nonsense). Here's the real breakdown:

If you're just trying to make an AI do what you want:

You can fine-tune small models (like LLaMA, Mistral, or Phi) on a modest consumer GPU (even a 3060 or lower).

You can customize behaviour using prompt engineering, context injection, or LoRA adapters—most of which don’t need crazy specs at all.

Hell, you can run text-generation-webui or LM Studio with 4GB+ VRAM, no problem.

4090 + i9 is for people who want:

Massive training speed (e.g. training a 13B model in hours not days)

Running multiple local models + Stable Diffusion + voice + video generation all at once

Flexing on /g/

It's not required. It's just peak performance.