LLMs
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Google launches Gemini 3.1 Pro
Gemini 3.1 Pro is designed for tasks where a simple answer isn’t enough.
Google released the newest version of Gemini Pro, its powerful LLM. The model, 3.1, is currently available as a preview and will be generally released soon, the company said.
Google’s new model may be one of the most powerful LLMs yet. Onlookers have noted that Gemini 3.1 Pro appears to be a big step up from its predecessor, Gemini 3 — which, upon its release in November, was already considered a highly capable AI tool.
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India’s Sarvam AI beats Google Gemini and ChatGPT
When it comes to AI models, the spotlight is mostly on the US and China. India, despite its scale and deep talent pool, has rarely been seen as a source of core AI development. But Bengaluru-based startup Sarvam AI is changing that perception with what it calls a “sovereign AI”. The company is creating foundational AI models from scratch in India. This week two of its tools, Sarvam Vision and Bulbul, are making a lot of buzz. All for the right reasons.
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Anthropic raising $10B at $350B valuation
Anthropic is reportedly in talks to raise $10 billion at a $350 billion valuation, marking its third mega-round in a year.
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Claude Code is coming to Slack
Anthropic launches Claude Code in Slack, letting developers delegate coding tasks from chat threads. It’s part of a shift toward AI-embedded collaboration that could reshape software workflows.
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Anthropic releases Opus 4.5 with new Chrome and Excel integratio
Anthropic announced Opus 4.5, the latest version of its flagship model. It’s the last of Anthropic’s 4.5 series of models to be released, following the launch of Sonnet 4.5 in September and Haiku 4.5 in October.
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AI2 released OLMo 3, a new family of open-source models
Our new flagship Olmo 3 model family empowers the open source community with not only state-of-the-art open models, but the entire model flow and full traceability back to training data.
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Google Gemini’s Deep Research can look into your emails, drive,
Gemini can now draw from your emails and documents while performing “deep research” queries. Google’s announcement blog called this “one of our most-requested features” for Gemini Deep Research, which is an agentic feature styled specifically for creating research reports rather than just answering questions. The chatbot starts by creating a multi-step research plan, then it performs a series of web searches to create a report that you can ask it to tweak with additional info, or export the whole thing into a Google Doc or AI-generated podcast.
