Chockalingam

AI | Cloud | Quantum Computing

[Chockalingam @chockalingamAI]

@Ayussheth Yes would like to join.

[Chockalingam @chockalingamAI]

@rishabhm https://t.co/l6uHeXYOAD

[Chockalingam @chockalingamAI]

@ChillarRohit https://t.co/l6uHeXYOAD

[Chockalingam @chockalingamAI]

@AndhraNexus https://t.co/l6uHeXYOAD

[Chockalingam @chockalingamAI]

@kshashi https://t.co/l6uHeXYOAD

[Chockalingam @chockalingamAI]

@TheGlobalMinima https://t.co/l6uHeXYOAD

[Chockalingam @chockalingamAI]

@siddarthpaim https://t.co/l6uHeXYOAD

[Chockalingam @chockalingamAI]

@Sanjay_Sriv https://t.co/l6uHeXYOAD

[Chockalingam @chockalingamAI]

@raviprakash_rtv https://t.co/l6uHeXYOAD

[Chockalingam @chockalingamAI]

@m_saharia https://t.co/l6uHeXYOAD

[Chockalingam @chockalingamAI]

@MacroMatrix1 https://t.co/l6uHeXYOAD

[Chockalingam @chockalingamAI]

@x_rahulraj https://t.co/l6uHeXYOAD

[Chockalingam @chockalingamAI]

@Tushar15 https://t.co/l6uHeXYOAD

[Chockalingam @chockalingamAI]

@LaulPatricia https://t.co/l6uHeXYOAD

[Chockalingam @chockalingamAI]

This is a major signal: access to certain frontier AI models is now being restricted for everyone outside America.

My first reaction is simple.

Technology is no longer just an economic asset. It is now central to national security, strategic autonomy and sovereign capability.

The second lesson is equally clear. The old idea of frictionless globalization is no longer reliable. India must chart its own path.

There are two immediate priorities for India.

First, Indian organisations must seriously adopt and build around smaller models, including Indian and opensource models from other geographies. With the right engineering, finetuning, data pipelines and deployment discipline, these models can solve many practical enterprise and public-sector problems. There is no reason to keep paying for access to systems that can be withdrawn at any moment.

Second, India must deepen its own AI R&D. The latest frontier models require enormous GPU budgets, and access to advanced GPUs itself is increasingly controlled. Spending tens of billions of dollars simply to copy the same frontier scale race may not be the smartest use of national resources. India needs a more intelligent strategy: efficient models, domain specific models, Indic language models, sectoral AI systems, open-source capability, strong evaluation infrastructure and alternative research approaches that reduce dependence on brute force scale.

Cutting edge R&D will take time. But that is exactly why we need patience, sustained investment and conviction.

Any remaining illusions that technology globalization will always remain open and neutral should end now. India must build, adapt and secure its own AI path.

[Chockalingam @chockalingamAI]

This is a major signal: access to certain frontier AI models is now being restricted for everyone outside America.

My first reaction is simple.

Technology is no longer just an economic asset. It is now central to national security, strategic autonomy and sovereign capability.

The second lesson is equally clear. The old idea of frictionless globalization is no longer reliable. India must chart its own path.

There are two immediate priorities for India.

First, Indian organisations must seriously adopt and build around smaller models, including Indian and opensource models from other geographies. With the right engineering, finetuning, data pipelines and deployment discipline, these models can solve many practical enterprise and public-sector problems. There is no reason to keep paying for access to systems that can be withdrawn at any moment.

Second, India must deepen its own AI R&D. The latest frontier models require enormous GPU budgets, and access to advanced GPUs itself is increasingly controlled. Spending tens of billions of dollars simply to copy the same frontier scale race may not be the smartest use of national resources. India needs a more intelligent strategy: efficient models, domain specific models, Indic language models, sectoral AI systems, open-source capability, strong evaluation infrastructure and alternative research approaches that reduce dependence on brute force scale.

Cutting edge R&D will take time. But that is exactly why we need patience, sustained investment and conviction.

Any remaining illusions that technology globalization will always remain open and neutral should end now. India must build, adapt and secure its own AI path.

[Chockalingam @chockalingamAI]

@paraschopra https://t.co/l6uHeXYOAD

[Chockalingam @chockalingamAI]

@ashwani_mahajan https://t.co/l6uHeXYOAD

[Chockalingam @chockalingamAI]

@bindureddy https://t.co/l6uHeXYOAD

[Chockalingam @chockalingamAI]

This is a major signal: access to certain frontier AI models is now being restricted for everyone outside America.

My first reaction is simple.

Technology is no longer just an economic asset. It is now central to national security, strategic autonomy and sovereign capability.

The second lesson is equally clear. The old idea of frictionless globalization is no longer reliable. India must chart its own path.

There are two immediate priorities for India.

First, Indian organisations must seriously adopt and build around smaller models, including Indian and opensource models from other geographies. With the right engineering, finetuning, data pipelines and deployment discipline, these models can solve many practical enterprise and public-sector problems. There is no reason to keep paying for access to systems that can be withdrawn at any moment.

Second, India must deepen its own AI R&D. The latest frontier models require enormous GPU budgets, and access to advanced GPUs itself is increasingly controlled. Spending tens of billions of dollars simply to copy the same frontier scale race may not be the smartest use of national resources. India needs a more intelligent strategy: efficient models, domain specific models, Indic language models, sectoral AI systems, open-source capability, strong evaluation infrastructure and alternative research approaches that reduce dependence on brute force scale.

Cutting edge R&D will take time. But that is exactly why we need patience, sustained investment and conviction.

Any remaining illusions that technology globalization will always remain open and neutral should end now. India must build, adapt and secure its own AI path.