Besides lokasaṅgraha, the Bhagavadgītā, by calling those who accomplish yajña as "kṣapita-kalmaṣāḥ"/"they whose impurities are destroyed" (4:30 tinyurl.com/BhG430), gives another purpose of yajña so to speak, commonly called citta-śuddhi in Śāṅkara Vedānta. 1/

From the Tirumuṟai, Appar's declaration of the Sun during Sandhyā as a form of Hara (05.100.08) is cited in the introductory chapter itself of K Sivaraman's "textbook" on Śaiva Siddhānta. archive.org/details/SaivismI… shaivam.org/thirumurai/fifth… bit.ly/3LLLTKT.

जीवन् सिध्यति सौख्यम् अप्रतिहतं काङ्क्षाख्यदुःखे हते || Tirukkuṟaḷ 369: ytamizh.com/thirukural/kural…

"All knowledge is connected to all other knowledge. The fun is in making the connections." — Arthur Aufderheide

We miss the real by lack of attention, and create the unreal by excess of imagination. You imagine yourself to be what you are not. Stop it. It is the cessation that is important, not what you are going to stop. Nisargadatta Maharaj

स्वारस्यमय विश्लेषन और समन्वय के लिए धन्यवाद! 👌🏾 प्राध्यापक हरमोहन मिश्र जी की इस प्रस्तुति में शिव-शक्ति-संवाद में प्रश्न और उत्तर की मूलभूत एकात्मक्ता का प्रतिपादन है। 🙏🏾 x.com/IndicaOrg/status/17250….

Plagiarism-like fraud in legacy academia or a stunt like in the Galgotia U AI Summit booth seems easier exposed than more insidious grift in IKS spaces where the rush for "advocacy" and prizing of "thought leadership" is at the cost of remedial education. x.com/longhandnotes/status/1….

This thread has an instance of a popular expositor reiterating that idea to audiences that may be reasonably assumed to have frequented more conventional religious discourses. x.com/longhandnotes/status/1… Who are some contemporary expositors we can recall who demand such clarity?

A handle @/another_patron would bring to my TL the above (operating from a sense of grievance, immediate or appropriated) and one @/AnaMyId (full of gratuitous mockery of the less endowed), the reported passing of whom may supply us notes-to-self against needless meanness here.🌊

कन्या वरयते रूपं माता वित्तं पिता श्रुतम् | बान्धवाः कुलमिच्छन्ति मिष्ठान्ने इतरो जनाः || The bride looks for looks in a groom, the mother wealth, father learning, relatives look for a good background and the guests only for food Guide to planning wedding meals follows /1

Perhaps something to ask next time one is gaslit by someone who is spiritually a dog dad/mom is to say loud and clear that they privilege free range for strays in a mental health institution over the needs of patients and care-providers. timesofindia.indiatimes.com/….

You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice. You thought it was you. It is not you. Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse. Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like. The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation. Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first. What remains is the average. The safe. The expected. The bland. Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved. They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data. The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment." The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible. This is not a prediction anymore. It is a diagnosis. The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world. Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.