Anthropic finds a “silent workspace” inside Claude

Anthropic announces in an official blog post that its Claude models have developed a small, distinct set of internal patterns that function differently from the rest of the network’s processing. The company calls this the “J-space”, named after the Jacobian lens, a new technique used to detect it. Each pattern in the J-space corresponds to …

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DSpark: DeepSeek cuts AI response times with new decoding framework

Chinese AI company DeepSeek has released a new technical framework called DSpark, designed to make its flagship V4 model respond significantly faster. Ben Jiang reports for the South China Morning Post that DSpark increases per-user response speeds by up to 85 per cent, while also reducing the need for powerful and expensive chip infrastructure. The …

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Jeff Bezos backs $500 million bet on a brain-inspired AI startup

A New York-based startup called Flourish has raised $500 million to pursue one of AI’s most ambitious goals: building an artificial intelligence system that works like the human brain. Steven Levy reports for WIRED that Jeff Bezos led the early funding after reading a two-page pitch document, eventually contributing tens of millions of dollars and …

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This startup wants to build AI that learns from real-world use

A new startup called Trajectory is building a platform that helps AI products improve continuously by learning from real user interactions. Maxwell Zeff reports for WIRED that the company was founded by researchers who previously worked at Google DeepMind, Apple, and OpenAI, and has raised a $15 million seed round at a $115 million valuation. …

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This tiny add-on could solve a major frustration with AI agents: they are too forgetful

Researchers have developed a lightweight memory module for AI agents that retains information across long interactions without expanding the context window or relying on external retrieval systems. Called delta-mem, the system adds just 0.12% of additional parameters to a base language model while outperforming much larger alternatives on memory-intensive tasks, Ben Dickson reports for VentureBeat. …

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AI researchers release “talkie,” a language model trained on 1930s text

A newly released language model called “talkie” offers a striking glimpse into what artificial intelligence looks like when trained exclusively on historical text. The model, described as a 13-billion-parameter system built on data from around 1930, produces responses that blend period-accurate knowledge with confident factual errors. The official announcement explains that the project presents talkie …

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Google’s free TurboQuant algorithm can slash AI costs significantly

Google Research has released TurboQuant, a new compression algorithm designed to reduce the memory demands of large language models. The company says it can shrink a model’s key-value cache by at least six times and speed up a core processing step called attention computation by up to eight times, all without retraining the model or …

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AI researcher identifies six major paradigm shifts in large language models during 2025

The development of large language models has undergone fundamental changes in 2025, marked by new training methods and surprising capabilities that reveal a fundamentally different form of intelligence than expected. AI researcher Andrej Karpathy writes on his blog about six major shifts that defined the year. The most significant change involves a new training technique …

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