One of the biggest selling points for modern AI systems is their ability to adapt to users. Every time an AI assistant takes on a task for you, it’s also adapting to your style and preferences, which ...

AI’s massive demand for memory chips has created “chipflation,” driving up costs across phones, PCs and other electronics. As Big Tech pours hundreds of billions into AI infrastructure, memory has ...

The Athletic launched our World Cup Tracker this week, a page we highly encourage you to check out. There, you can find a forecast projecting the likelihood that each team will progress through each ...

Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a ...

Large language models become static after pretraining. Their knowledge does not update as the world changes. Retraining a full LLM is too expensive at modern scales. Fine-tuning risks degrading ...

Memory costs have exploded in 2026, with the AI giants gobbling up much of the production capacity, leading to jacked-up laptop prices. Against that backdrop, here’s how to save on a new laptop this ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

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If you’re a new fan of Memory of a Killer, or if you’re planning to be one soon, one of the first things you might want to know is just how long the ride will be. Whether you’re a binge-watcher or a ...

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...