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Machine Learning

Google's TimesFM: A Foundation Model for Time Series

TimesFM is Google's pretrained, decoder-only transformer model for zero-shot time-series forecasting, trained on ~100 billion real-world time-points to deliver accurate predictions across domains without retraining.

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AI Engineering

How AI Agents Remember: Memory Architectures That Work

AI agents use four distinct memory tiers—working, episodic, semantic, and procedural—stored across context windows, vector databases, knowledge graphs, and model weights. Choosing the right architecture determines whether your agent stays coherent across sessions or forgets everything the moment a conversation ends.

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AI Industry

IBM Is Tripling Entry-Level Hiring Because AI Adoption Hit a Wall

IBM is tripling US entry-level hiring in 2026, not despite AI, but because of where it falls short. The move reveals a widening gap between AI's promise and its enterprise performance—and a talent pipeline risk most companies are ignoring.

7 min read
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AI Infrastructure

The MCP Registry: GitHub's Play to Become the App Store for AI Tools

GitHub's MCP Registry centralizes discovery of Model Context Protocol servers, positioning GitHub as the primary distribution layer for AI agent tooling and addressing the fragmentation that emerged as MCP's ecosystem exploded past 5,000 servers in under a year.

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Hardware

Microsoft's Data Storage That Lasts Millennia

Microsoft's Project Silica has demonstrated a way to encode terabytes of data into ordinary borosilicate glass using femtosecond lasers, with accelerated aging tests projecting data integrity for at least 10,000 years—at a fraction of previous costs.

8 min read
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AI Models

The Million-Token Context Window: What Can You Actually Do?

Million-token context windows let you feed entire codebases, legal contracts, and hours of video to an LLM in one pass—but advertised limits routinely overstate practical capability. Here's what the benchmarks, failure modes, and real deployment patterns actually show.

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