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Meet Turbovec: A Rust Vector Index with Python Bindings, and Built on Google’s TurboQuant Algorithm
Vector search underpins most retrieval-augmented generation (RAG) pipelines. At scale, it gets expensive. Storing 10 million document embeddings in float32 consumes 31 GB of RAM.…
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Can LLMs Replace Survey Respondents?
you ask an LLM to simulate 6,000 American households answering questions about…
How to Safely Run Coding Agents
as Claude Code and Codex have provided me the biggest efficiency boost…
NVIDIA AI Releases Nemotron-Labs-Diffusion: A Tri-Mode Language Model with 6× Tokens Per Forward Over Qwen3-8B
NVIDIA researchers have released Nemotron-Labs-Diffusion, a language model family that unifies three…
From Possible to Probable AI Models
of years, I have been involved in many conversations about generative AI…
Alibaba Qwen Team Introduces Qwen3.5-LiveTranslate-Flash: Real-Time Multimodal Interpretation Across 60 Languages at 2.8-Second Latency
Simultaneous interpretation is one of the harder problems in applied AI. You’re…
Google Introduces Gemini 3.5 Flash at I/O 2026: A Faster and Cheaper Model for AI Agents and Coding
Google just released Gemini 3.5 Flash at Google I/O May, 2026. It…
Gemini 3.5: frontier intelligence with action
3.5 Flash: agentic tasks at scaleThis balance of speed and performance makes…
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