venturebeat

2025-11-21

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after training. The paradigm, called Nested Learning, reframes a model and its training not as a single process, but as a system of nested, multi-level optimization problems. The researchers argue that this approach can unlock more expressive learning algorithms, leading to better in-context learning and memory.

To prove their concept, the researchers used Nested Learning to develop a new model, called Hope. Initial experiments show that it has superior performance on language modeling, continual learning, and long-context reas [...]

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venturebeat

2025-10-08

New memory framework builds AI agents that can handle the real world's unpredictability

Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a m [...]

Match Score: 86.11

Destination

2025-05-29

The best microSD cards in 2025

Most microSD cards are fast enough for boosting storage space and making simple file transfers, but some provide a little more value than others. If you’ve got a device that still accepts microSD ca [...]

Match Score: 79.19

Destination

2025-11-22

Google's Nested Learning aims to stop LLMs from catastrophic forgetting

Google Research has introduced "nested learning," a new way to design AI models that aims to mitigate or even avoid "catastrophic forgetting" and support continuous learning.<br [...]

Match Score: 76.48

venturebeat

2025-10-24

Thinking Machines challenges OpenAI's AI scaling strategy: 'First superintelligence will be a superhuman learner'

While the world's leading artificial intelligence companies race to build ever-larger models, betting billions that scale alone will unlock artificial general intelligence, a researcher at one of [...]

Match Score: 72.64

venturebeat

2025-10-13

Self-improving language models are becoming reality with MIT's updated SEAL technique

Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those underp [...]

Match Score: 68.21

venturebeat

2025-11-01

Large reasoning models almost certainly can think

Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of Th [...]

Match Score: 65.83

venturebeat

2025-11-02

Moving past speculation: How deterministic CPUs deliver predictable AI performance

For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the 1990s, speculation was hailed as a breakthrough — just as pipelining and [...]

Match Score: 62.07

venturebeat

2025-10-16

Under the hood of AI agents: A technical guide to the next frontier of gen AI

Agents are the trendiest topic in AI today — and with good reason. Taking gen AI out of the protected sandbox of the chat interface and allowing it to act directly on the world represents a leap for [...]

Match Score: 51.44

Destination

2025-10-22

Private Internet Access VPN review: Both more and less than a budget VPN

I came into this review thinking of Private Internet Access (PIA) as one of the better VPNs. It's in the Kape Technologies portfolio, along with the top-tier ExpressVPN and the generally reliable [...]

Match Score: 51.22