Artificial intelligence
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The LoRA Assumption That Breaks in Production
LoRA is widely used to fine-tune large models because it is efficient, but it tacitly assumes that all model updates…
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A quick way to measure the power consumption of AI | MIT News
Due to the huge increase in artificial intelligence, it is estimated that data centers will use up to 12 percent…
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RAG Without Vectors: How PageIndex Gets Through Consultation
Retrieval is where most RAG systems quietly break down. Native pipelines rely on vector matching—embedding queries and document fragments in…
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xAI Introduces grok-voice-think-fast-1.0: Bench-high τ-voice at 67.3%, High-Performance Gemini, Real-Time GPT, and More
Building an AI agent for voice production is one of the most difficult engineering challenges in machine learning in use…
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Google DeepMind Introduces Visual Banana: A Tuned Image Generator That Beats SAM 3 in Segmentation and Depth Any V3 in Metric Depth Estimation
For years, the computer vision community has worked on two different tracks: generative models (which generate images) and discriminative models…
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Meet GitNexus: A Native MCP-Open Source Knowledge Graph Engine Offering Claude’s Code and Full Codebase Structure Awareness Cursor
There is a silent failure mode that sits at the heart of every AI-assisted coding workflow. You ask Claude Code,…
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Coding in the Deepgram Python SDK for Transcription, Text-to-Speech, Async Audio Processing, and Text Intelligence.
In this tutorial, we build an advanced workflow with Deepgram Python SDK and explore how modern voice AI capabilities come…
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DeepSeek AI Releases DeepSeek-V4: Compressed Sparse Attention and Highly Compressed Attention Enable Million Token Content
DeepSeek-AI has released a preview version of the DeepSeek-V4 series: two Mixture-of-Experts (MoE) languages designed for the single main challenge…
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MIT scientists are building the world’s largest collection of math Olympiad problems, and opening it up to everyone | MIT News
Every year, countries competing in the International Mathematics Olympiad (IMO) come up with a handbook of their best, real-world problems.…
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Google DeepMind Introduces Released DiLoCo: An Asynchronous Training Architecture That Achieves 88% Goodput Under High Hardware Failure Rates
Training frontier AI models is, at its core, a correlation problem. Thousands of chips must communicate continuously, synchronizing all gradient…
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