Narayan Lal Gupta

Educationist, राष्ट्र प्रथम

[How To Prompt @HowToPrompt__]

Google Deepmind argues that LLMs can never make real scientific discoveries.

They published a paper breaking down Albert Einstein’s private view of scientific discovery.

In a famous letter to his friend Maurice Solovine, Einstein drew a diagram of how science actually happens.

It is a cyclical loop.

First, you experience raw sensory data. Then, through a mysterious, non-logical act of intuition, you make an intuitive "jump" to abstract axioms. Finally, you use strict logical deduction to derive consequences from those axioms.

Generative AI has completely mastered two-thirds of this loop.

• Induction: Statistical pattern matching across billions of tokens.
• Deduction: Formal proof generation, like AlphaProof solving complex math Olympiads.

AI can crunch data and it can prove theorems.

But it cannot make the jump.

The paper argues that AI completely lacks Abduction, the generation of novel explanatory hypotheses when observational data is scarce.

The prevailing tech myth says that "creativity is just data compression." That if you feed an LLM enough text, scientific breakthroughs will naturally pop out.

Einstein’s formulation of General Relativity proves that is a delusion.

When Einstein formulated relativity, the observational data didn't demand a new physics framework; classical mechanics was still massively successful. The breakthrough required a conceptual rupture. An intuitive leap from physical reality to a brand-new set of foundational axioms.

An LLM can execute the math once the axioms are given. But it is structurally incapable of formulating those premises on its own.

It can interpolate inside existing human thought, but it cannot transcend it.

The translation of physical reality into formal axioms remains the absolute, hard bottleneck of artificial scientific invention.

We can build models with trillions of parameters. We can scale compute into the stratosphere.

We can make the calculator infinitely fast.

But until we solve grounding, the machine can process all the data in the universe.

It still can't make the jump.

[Narayan Lal Gupta @narayanlalgupta]

https://t.co/Mtc2OCp1du

[Elon Musk @elonmusk]

In the future, a trillion times a trillion dollars will be spent on making antimatter to travel to other star systems

[Augadh @AugadhBhudeva]

Wikipedia Under Fire:
Report Alleges Anti-India Bias And Coordinated Editing

Wikipedia is currently facing significant scrutiny in India following an investigative report by NPOV Media that alleges systemic anti-India/anti-Hindu bias and coordinated editing campaigns on the platform. The report specifically highlights the targeted manipulation of entries related to Hindu civilizational history, geopolitics, and diaspora organizations.

The investigation alleges that a closed cabal of anonymous editors and ideologically aligned administrators exert disproportionate control over sensitive India-related topics.

The report points to the active suppression of independent sources and the elevation of partisan, anti-establishment narratives regarding Indian contemporary politics, historical events, and Hindu organizations.

It accuses these groups of systematically scrubbing factual corrections and institutional rebuttals, creating permanent, skewed characterizations of mainstream Hindu groups (such as the Hindu American Foundation).

India's premier news agency, Asian News International (ANI), filed a major defamation suit in the Delhi High Court demanding damages over a Wikipedia entry that labeled the agency as a "propaganda tool" for the incumbent government.

Following the ANI lawsuit, the Indian Ministry of Information and Broadcasting issued a formal notice to Wikipedia questioning its status as a neutral "intermediary." Indian courts have warned Wikipedia that it cannot use generic disclaimers to escape accountability for publishing targeted, defamatory content.

In the ANI proceedings, the Delhi High Court ordered Wikipedia to unmask the anonymous editors responsible for the defamatory edits, setting a major precedent for how the platform operates legally in the country.
Credit : NDTV.

[Narayan Lal Gupta @narayanlalgupta]

#HaldighatiVijay450
इतिहासकार डॉ. गौरीशंकर हीराचंद ओझा की कृति 'उदयपुर राज्य का इतिहास' के साक्ष्य प्रमाणित करते हैं कि हल्दीघाटी युद्ध के पश्चात सामरिक और रणनीतिक स्थिति पर प्रताप का नियंत्रण था और मुगल सेना संकट व भय की स्थिति में थी।

[Om Birla @ombirlakota]

अखिल भारतीय राष्ट्रीय शैक्षिक महासंघ द्वारा आयोजित “Two-day National Conference on Sustainable Agriculture for Viksit Bharat@2047: Tradition, Technology and Tangible Outcomes” के उद्घाटन सत्र में संबोधन। https://t.co/0cRfLtOA8D

[Richard Albert @RichardAlbert]

🖥️ The new Artificial Intelligence policy at UC Berkeley School of Law, effective Summer 2026.

📝 Here is the main rule:

"The use of AI is prohibited for aid in conceptualizing, outlining, drafting, revising, translating, or editing any work submitted for credit. AI use is prohibited for any use for any purpose in any exam situation. Students may not upload course materials—including assignments, readings, slides, class recordings, or other class content—into generative AI systems. AI can be used for research on papers ONLY for the limited purpose of identifying sources, such as cases, statutes, or secondary sources."

[The Nobel Prize @NobelPrize]

What is the meaning of life?

Hear 2021 chemistry laureate Benjamin List answer the question we all are trying to find an answer to.

[Ncweb_Official @NcwebOfficial]

#NCWEB, #ABRSM & #ICSSR द्वारा आयोजित 2दिवसीय राष्ट्रीय संगोष्ठी में प्रो.नारायणलाल गुप्ता(अध्यक्ष, ABRSM) ने कहा कि संविधान सभा की 15 विस्मृत दूरदर्शी महानायिकाएँ आधुनिक भारत की नींव थीं, जिन्होंने समता व भारतीयता(हम भारत के लोग) आधारित लोकतांत्रिक संविधान निर्मित किया।

[Elon Musk @elonmusk]

For quality of life, it is better to err on the side of being an optimist and wrong, rather than a pessimist and right

[Dharmendra Pradhan @dpradhanbjp]

आज अखिल भारतीय राष्ट्रीय शैक्षिक महासंघ के प्रतिनिधिमंडल से मिलना हुआ।

शिक्षकों के हितों और शिक्षक कल्याण से जुड़े विभिन्न विषयों पर प्रभावी चर्चा हुई।

[Sundar Pichai @sundarpichai]

New breakthrough quantum algorithm published in @Nature today: Our Willow chip has achieved the first-ever verifiable quantum advantage.

Willow ran the algorithm - which we’ve named Quantum Echoes - 13,000x faster than the best classical algorithm on one of the world's fastest supercomputers. This new algorithm can explain interactions between atoms in a molecule using nuclear magnetic resonance, paving a path towards potential future uses in drug discovery and materials science.

And the result is verifiable, meaning its outcome can be repeated by other quantum computers or confirmed by experiments.

This breakthrough is a significant step toward the first real-world application of quantum computing, and we're excited to see where it leads.

[ZEE Rajasthan @zeerajasthan_]

#Jaipur : ABRSM का होगा 9वां राष्ट्रीय अधिवेशन, 5 से 7 अक्टूबर को किया जाएगा आयोजित

@jaipur_police @DcDmJaipur #LatestNews #RajasthanNews #RajasthanWithZee

[First India News @1stIndiaNews]

ABRSM का 9वां त्रिवार्षिक राष्ट्रीय अधिवेशन, CM Bhajanlal Sharma करेंगे शुभारंभ | Jaipur News

#FINVideo #RajasthanWithFirstIndia #RajasthanNews #JaipurNews #ABRSM #BhajanlalSharma @BhajanlalBjp

[DD News @DDNewslive]

Hamara Vidyalaya – Hamara Swabhiman Pledge Echoes Across India

Millions of Students and Teachers Take Historic Pledge, Showcasing Unity in Diversity

The campaign is part of ABRSM’s broader vision, “Hamara Vidyalaya – Hamara Teerth,” aiming to inspire pride, discipline, and responsibility in every school.

#HamaraVidyalayaHamaraSwabhiman

[Narayan Lal Gupta @narayanlalgupta]

3,000-year-old hymn reveals musical links across Bronze Age civilizations from India to the Mediterranean via @https://twitter.com/Archaeology_Mag https://t.co/i3KVDqX5vd

[steve hsu @hsu_steve]

Is Chain-of-Thought Reasoning of LLMs a Mirage?

... Our results reveal that CoT reasoning is a brittle mirage that vanishes when it is pushed beyond training distributions. This work offers a deeper understanding of why and when CoT reasoning fails, emphasizing the ongoing challenge of achieving genuine and generalizable reasoning.

... Our findings reveal that CoT reasoning works effectively when applied to in-distribution or near
in-distribution data but becomes fragile and prone to failure even under moderate distribution shifts.
In some cases, LLMs generate fluent yet logically inconsistent reasoning steps. The results suggest that what appears to be structured reasoning can be a mirage, emerging from memorized or interpolated patterns in the training data rather than logical inference.

... Together, these findings suggest that LLMs are not principled reasoners but rather sophisticated simulators of reasoning-like text.

[Fermat's Library @fermatslibrary]

Mathematicians searched up to N = 10⁴⁰ for solutions to this equation and found only the original ones Ramanujan discovered: N = 3, 4, 5, 7, 15.

It’s recently been proven - there are no others.

[Ministry of Education @EduMinOfIndia]

A major reform under #NEP2020!

CBSE would conduct Class X Board Exams twice a year from 2026.

This will reduce high-stakes pressure, ease the burden on students, offer flexibility, and promote joyful, stress-free learning.

It is a landmark shift towards competency-based assessments that value understanding over rote learning.

This reform empowers students with choice, confidence, and second chances — reflecting NEP 2020’s vision of a more inclusive, learner-centric education system based on joyful curiosity.

#EducationReform #NEPAchievements #StudentFirst #TransformingEducation

@narendramodi @PMOIndia @dpradhanbjp @sanjayjavin @cbseindia29 @PIB_India @airnewsalerts @DDNewslive