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Google's TurboQuant Slashes LLM Memory by 5x and Boosts Speed 8x With No Accuracy Loss

Google's TurboQuant Slashes LLM Memory by 5x and Boosts Speed 8x With No Accuracy Loss

Mar 25, 2026
MarkTechPost

Google's TurboQuant is revolutionizing AI efficiency, slashing large language model memory usage by over 5x and boosting speed up to 8x with zero accuracy loss, using a data-oblivious quantization algorithm requiring no dataset-specific tuning — maintaining perfect retrieval accuracy across 104,000 tokens in benchmark tests.

Databricks Launches AI-Powered SIEM 'Lakewatch,' Promising 80% Cost Reduction in Cybersecurity Operations

Databricks Launches AI-Powered SIEM 'Lakewatch,' Promising 80% Cost Reduction in Cybersecurity Operations

Mar 25, 2026
Databricks

Databricks launches Lakewatch, an AI-powered SIEM now in Private Preview, promising up to 80% cost reduction in cybersecurity operations by deploying AI agent swarms for automated threat detection, triage, and investigation — backed by a deepened Anthropic partnership and two strategic acquisitions.

Base LLMs Show Strong Semantic Confidence Accuracy, But Fine-Tuning and Chain-of-Thought Reasoning Destroy It

Base LLMs Show Strong Semantic Confidence Accuracy, But Fine-Tuning and Chain-of-Thought Reasoning Destroy It

Mar 25, 2026
Apple Machine Learning Research

New research reveals that base large language models possess strong semantic confidence accuracy, but popular techniques like fine-tuning and chain-of-thought reasoning actively destroy this calibration, raising urgent questions about the reliability of widely deployed AI systems.

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