The Trump administration has struck data-sharing deals with OpenAI, Google, Meta, Amazon, and other tech companies to track how AI is affecting jobs and hiring

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Subquadratic: the LLM built for 12M-token reasoning — SubQ can reason across entire codebases and document sets in one pass with no RAG workarounds. Read how SubQ 1.1 Small holds near-perfect retrieval out to 12M tokens.

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Introducing Zoho connected apps for Google Gemini — Note: Now available to organizations in the Indian data center. Support for other Zoho data centers will be available soon.AI assistants have gotten remarkably …

Protecting your Cloud Applications Data — Backing up Office 365, Google Workspace, Dropbox & Salesforce data is critical to preventing data loss or corruption, complying with laws and avoiding critical downtime in case of a disaster.

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Beyond the KV cache: Training and serving i14’s Laplace 3B linear attention model on AWS Trainium2 with native PyTorch | Amazon Web Services

Most large language models (LLMs) use transformer architectures with softmax attention. During inference, their key-value (KV) cache grows with the conversation or document context. This can reduce concurrency, increase serving cost, and force agentic applications to discard useful history. i14 designed Laplace 3B as a linear attention alternative. Its recurrent