Fitness & Cognition
God & Religion

Most popular ideas tend to focus on a few domains in space-time but recurrent social self-destruction; unsettled war of ideas and horrors of actual wars; modern weapons of mass destruction; political propaganda in schools, media, and even in the best universities; ideology infiltrating families and facilitating familial disintegration; psychological manipulation of our minds by those who can; unequal distribution of resources and elites using inherent inequality of life for personal gain; money and technology creating countless new pecking orders; political divide and ideological censorship by tech companies; fake studies, reproducibility crisis of soft sciences, and politicization of science; inferior ideas of a few men worshipped by millions as the wisdom of many dies; existentialism and nihilism; pollution in the air, water, land, food, and our bodies; unhealthy lifestyle and stress killing us slowly but silently; thousands of deaths every day because of drug, tobacco, and alcohol abuse; hundreds dying daily by suicide; depression and anxiety becoming all too common; conservative nature of evolution preserving primal neural circuits that can easily override our thinking; ambiguous desires, emotions, thoughts, and behaviors because of interwoven ancient and novel neural circuits and social sculpting; emotions controlling our behavior and intellect irrationally; bounded brains and unnatural information overload; heuristic and imperfect interpretation of reality by biological systems; illusions and delusions making us suffer unnecessarily; habituating happiness and addictions failing to hold on to fleeting joy; brand-new addictions devised by technology; magnificent developments in AI and associated dangers; and so on, suggest that life is not unidimensional and unsophisticated ideas cannot deal with the multifaceted complexity of life.
New ideas are needed that can confront collective genetic, social, and natural complexity and can prevent recurring societal decay and unnecessary suffering.
God & Religion
Neural Stone
AI & Abundance
Reality & Truth
Power & Politics
Social Systems
Depression & Anxiety
Pleasure & Procreation
Wanting & Liking
Development & Education
God & Religion
Neural Stone
AI & Abundance
Reality & Truth
Power & Politics
Social Systems
Depression & Anxiety
Pleasure & Procreation
Wanting & Liking
Development & Education

Biological and ideological conflicts arising from primal and novel neural circuits, the recurrent self-destruction of companies and societies, individual self-harm, and other things suggest that using intelligence in space-time for collective or individual good is not as easy as it may seem, and now neural networks have entered the scene with frontier AI arriving in 2026.
Science and technology are used in the fights of circuits with weapons of mass destruction, and now a new type of intelligence with huge compute and memory will be used by old circuits for their goals, and AI may have its own goals too in future that differ from ours. AI is being trained on data created by humans, and just like humans are influenced by primal circuits, AI will be heavily influenced by us in an uncertain manner.
Anil was already working on the unification of science, systems, and philosophy for the pragmatic purpose of survival in the long run for humans, and finding ways to enter the mysterious unknown if ever allowed by nature, and AI is another domain to unify with the previous ones. With the positive aspects of abundance of materialistic things by harnessing energy and building at new scale, solving the problem of unequal distribution of biological things and the ideological use of AI for destruction remains. And maybe abundance never arrives, because the fights do not stop and destroy most functional things that exist today.
Anil started Context Unbounded to focus on how to make abundance unbounded, by addressing the biological and ideological aspects of carbon intelligences and how they work with silicon intelligence for collective good. Furthermore, the company also addresses the simple problem of teams not being able to use AI for usual software development, as each inference session is bounded by the number of tokens it can hold and carries nothing into the next one, while a nervous system carries its context forward in an automated manner, and the company’s strategies and products do the same for AI, making context unbounded from session to session.

Environmental stimulation of the genes during the first 18 years of life sculpts our subjective reality, as well as our physical and cognitive abilities, and as neural circuits can act like neural stones, many beliefs and behaviors—both individual and societal—cannot be changed later in life with logic, reason, or effort alone, causing unnecessary suffering in an already difficult life—it is easier to not start smoking than to stop, and a failed country cannot simply copy what developed countries are doing and become a part of the first world overnight, for example.
Children of today will shape tomorrow but having good genes is not enough. Excellence needs to be developed by exposing the body and mind of a child to nutrition, wisdom, challenges, and other constructive things, not coddling or indoctrination. However, formal education does virtually nothing to develop the ability to think, while parents are busy putting food on the table. Furthermore, elites and ideologues shape social systems and popular ideas, and the best of all is either not on their minds, or the proposed solutions are not sophisticated enough.
It is our primary duty to install awareness of complexity and cognitive competence in children's brains, not idiocy or mediocrity, so that a child can learn to thrive later in life, and we can confront complex challenges collectively too, to the best of our genetic abilities.
Neural Stone aims to suggest new pragmatic and heuristic ideas and solutions that are designed to deal with socio-genetic complexity in space-time, to minimize and manage problems faced by living things and the pain attached to them.

While consulting firms usually offer templates, and product companies service requests, for DPDPA compliance — with penalties from ₹50 crore to ₹250 crore across many provisions — Privacy Cortex focused on legal, tech and AI transformation converging at once, and designed products not only for DPDPA but also to become an essential part of the enterprise context management engine.
The company worked with only two AI models, Fable and Opus, for a few months and built production-grade products for under USD 650 in model spend, with its strategy of context management designed for transformer architecture itself. Its other technical strategies further reduce the cost of compliance and the time to delivery.
It also built AI Team onboarding, within the same cost, where the Team feeds the products with on-demand discovery in enterprise systems, in a non-blocking, draft-only mode for AI governance. This AI discovery includes metadata management so the same token carries the same meaning for all, and a data flow map documenting the most critical context across all systems and connections, among others. It built workflows for GRC controls for humans and AI alike as well, and the same AI Team can help with enterprise context discovery for effective AI use.

After learning that many companies hire software developers to write simple code to automate UI tests, Anil came up with the idea of building an app that not only writes such software but also runs it and reports the results. Early versions of the app will require only the test data and will create the code, but later the app can read a User Story and come up with several UI test cases along with data. This can eliminate the need for automation testers and minimize the work of manual testers while adding many test cases that humans may miss. Advanced versions of the app will be able to create the user story, actual code, unit tests, and UI automation tests from design mockups alone.
It was also observed that business, development, testing, and support teams required different software and services and many processes that could enforce best practices were simply absent. This disconnect and absence caused quality, efficiency, reliability, and visibility issues and it made sense to serve these various needs in one app.
Eliminating the necessity for software developers to write UI automation testing code has been demonstrated without the use of AI, along with integrations of various features needed for SDLC. Furthermore, leveraging AI could feasibly automate actual software development, testing, and support to the greatest extent possible, including writing unit tests automatically.
Following the onset of the coronavirus pandemic, operations for Actual Automation were disrupted and eventually stopped. Although www.actualautomation.com has been taken down, a few details and screenshots of the application can still be found at the following link.

Fitness & Cognition

Social Systems

Reality, Illusions & Misery

Gene-Environment Interplay