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Sonnet 4.6 turns long context into leverage!

Plus: NVIDIA is helping India build sovereign intelligence

Author

Jafar Najafov
February 18, 2026 • Read this in 6 minutes

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Today we’re looking at Anthropic’s latest model update. Sonnet 4.6 just doubled its context window to 1 million tokens. That shift tells us something bigger about where AI competition is heading. Also today we’re breaking down NVIDIA’s expanding role in India’s AI mission. From sovereign cloud infrastructure to frontier local models, the strategy is ambitious. And it signals how nations are starting to build AI on their own terms.

In today’s post:

  • Claude just doubled its memory

  • India is building its own AI stack

  • The AI divide is widening fast

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LAUNCH

Anthropic’s Sonnet 4.6 is built to remember everything

Image Credits: Anthropic


Anthropic just released Sonnet 4.6. It is now the default for most users.

Here’s everything you need to know:

  • Sonnet 4.6 comes with a 1 million token context window.

  • That is double the largest previous Sonnet window.

  • It can hold full codebases, contracts, or research papers.

  • Anthropic improved coding, instruction-following, and computer use.

  • The model scored 60.4% on ARC-AGI-2.

  • It also posted strong results on SWE-Bench and OS World.

  • It still trails frontier models like Opus 4.6 and GPT-5.2 variants.

AI competition is becoming a memory race. Bigger context reduces stitching and prompt hacks. Developers want continuity, not fragments. Four-month release cycles now feel normal. The shift is subtle but important. Models are becoming workspaces, not chatbots.

PROFITS

NVIDIA isn’t just selling chips in India. It’s helping build sovereignty

Image Credits: NVIDIA

At the India AI Impact Summit, NVIDIA outlined its strategy. India is building its own AI stack.

Here’s everything you need to know:

  • IndiaAI is backing the push with over $1 billion in funding.

  • Cloud partners are deploying tens of thousands of NVIDIA GPUs.

  • Yotta’s Shakti Cloud runs on more than 20,000 Blackwell GPUs.

  • Netweb is manufacturing Grace Blackwell systems locally.

  • Indian startups are training frontier models in 22 Indic languages.

  • Companies like Sarvam.ai and Zoho are building sovereign LLMs.

  • Even national payment systems are exploring domestic AI models.

This is not about compute capacity. It is about control. Nations no longer want rented intelligence. They want owned infrastructure and local data. In the AI era, sovereignty may matter more than speed.

STRATEGY

Microsoft just put $50 billion behind one bet: close the gap

Image Credits: Microsoft

Microsoft used the India AI Impact Summit to send a message. The AI divide is now an economic risk.

Here’s everything you need to know:

  • AI adoption in the Global North is roughly double the Global South.

  • Microsoft plans to invest $50 billion this decade to close that gap.

  • More than $8 billion already went to data centers in emerging regions.

  • The company aims to expand internet access to 250 million people.

  • Millions are being trained through Elevate skilling programs.

  • Microsoft is strengthening multilingual AI for underserved languages.

  • It is also measuring AI diffusion to guide policy and capital allocation.

Electricity once shaped global inequality. AI could repeat that story. Infrastructure decides who builds. Skills decide who leads. The risk is not slow AI progress. It is uneven AI progress.AI TOOLS + Free Guides

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