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- đNadellaâs AI Endgame Unfolds
đNadellaâs AI Endgame Unfolds
PLUS: Gemini Boosts Coding Skills

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Microsoftâs AI future looks more crowdedâNadella moves from exclusivity to optionality in the race to dominate AI
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Gemini 2.5 pro gets a developer focused refreshâNew update boosts coding reasoning and developer usability
Spotlight: AlumniumâThe only open-source AI test automation library for both web and mobile
In other AI newsâX updates its developer terms to block use of its content for AI training, Anthropic unveils Claude Gov models tailored for US national security needs, Amazonâs R&D lab sets up a new agentic AI group focused on robotics, and AI coding startup Cursorâs parent Anysphere hits a $9.9B valuation after a $900M raise
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Key Points
DeepSeekâs open source model forced Microsoft to respond quickly but Nadella chose to adopt it rather than compete.
Microsoft now offers over 1,900 AI models on Azure including competitors positioning itself as a neutral AI platform.
đïž Context of the news - When Satya Nadella landed at Davos in January he was ready to tout Microsoftâs AI dominance. But DeepSeek, a Chinese startup, shook up the narrative.
Its open source R1 model rivaled OpenAIâs performance at a fraction of the cost. Alarmed, Nadella's team launched a rapid-fire investigation. Within 48 hours, 100 Microsoft employees had vetted R1 and surprisingly Nadella chose not to fight it. Instead Microsoft offered R1 through Azure adding it to a growing menu of over 1,900 models.
đ€News - Now, Nadellaâs strategy is less about loyalty to OpenAI and more about optionality. Whether customers want OpenAI DeepSeek or Microsoftâs own tech Azure is where theyâll find it.
His mindset is shaped by economic principles particularly the Jevons paradox which says cheaper more efficient tech drives more consumption. That belief is pushing Microsoft to build its own smaller cheaper AI models under the MAI-2 initiative.
đ„žWhy this matters - Microsoftâs $13.75B bet on OpenAI helped ignite the AI boom but their relationship has shifted from collaborative to cautious. With MAI-2 Nadellaâs preparing for a future where OpenAI isnât the only option. Itâs part protection plan, part power play.
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This weekâs topic: Integration
Key Points
Googleâs updated Gemini 2.5 Pro performs better at coding and complex reasoning with improvements visible across benchmark tests.
With cleaner responses and improved structure Gemini becomes easier to use in developer workflows and tools.
âšïžNews - Google has rolled out an updated preview of Gemini 2.5 Pro its advanced AI model aimed at developers.
The upgrade builds on the version released just last month and is already live in Googleâs AI Studio Vertex AI and the Gemini app. A wider release is expected in the coming weeks.
The company says the updated model performs better on programming tasks and continues to lead on difficult coding benchmarks. It also ranks highly on tests that evaluate reasoning math, science, and general knowledge. That puts Gemini 2.5 Pro in line with some of the best-performing models currently available.
In response to early user feedback Google has fine tuned the modelâs output. The new version is said to be more creative with cleaner formatting and improved structure in its responses. These changes are designed to make it easier for developers to use in real-world applications.
đ€Why it matters - As AI models become more capable, small improvements in how they reason, respond, and format answers can make a big difference. With this update, Google is positioning Gemini 2.5 Pro as a more practical and polished tool for developers.
Itâs the only open-source, AI-powered library that supports both web and mobile â no more writing brittle scripts or juggling multiple frameworks.
Fast-growing, dev-loved, and built for real-world testing.
If you're into clean automation and smarter tooling:
Give it a â on GitHub â github.com/alumnium-hq/alumnium
đđ»ââïžWhat else is happening?
X changes its terms to bar training of AI models using its content // X has changed its developer agreement to prevent third parties from using the platformâs content to train large language models
Anthropic unveils custom AI models for US national security customers // A custom set of âClaude Govâ models were built based on direct feedback from our government customers to address real-world operational needs
Amazonâs R&D lab forms new agentic AI group // The new group will help develop an agentic AI framework for use in its robotics operations an application often referred to as physical AI
Cursorâs Anysphere nabs $9.9B valuation soars past $500M ARR // The maker of AI coding assistant Cursor has raised $900 million at a $9.9 billion valuation
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