DeepMind Research Reveals Outstanding Performance of Large Language Models in Image and Audio Compression


In a recent paper, the Seed team at ByteDance revealed that performance fluctuations in large language models when processing ultra-long texts are mainly caused by the phase sensitivity of block-based KV cache compression technology. To reduce memory consumption during long-context reasoning, this technique compresses continuous token windows into fewer entries by using a fixed stride, but it introduces new position coordinates for tokens relative to the compressed window, causing retrieval bias and leading to performance fluctuations.
Google DeepMind head Kavukcuoglu said at an AI summit that Gemini 4 is coming, now in early post-training to improve reliability. Skipping 3.5 Pro, Google bets on Gemini 4, aiming to launch well before year-end and accelerating early results.....
On September 16, Google and DeepMind researchers established the DeepMind Institute to promote interdisciplinary discussions on artificial general intelligence (AGI). The board includes Shane Legg, James Manyika, and Demis Hassabis, with Legg serving as executive editor. The institute emphasizes presenting diverse perspectives from Google, DeepMind, and the global research community. It has released four articles focusing on AGI's economic policy, model reasoning transparency, principles for human prosperity, and cutting-edge AI.
UK AI startup Emulate launches new round targeting up to $700M at ~$3.7B valuation, led by Index Ventures. Founded Aug 2026, founders are ex-DeepMind, built Genie world model generating realistic video and interactive 3D from brief prompts, shaking gaming.....
The AI industry debates AGI's arrival: Jensen Huang claims OpenAI's Astra launch signals AGI has arrived; DeepMind chief AGI scientist Shane Legg counters that it's premature, noting AGI by OpenAI's charter definition is not yet achieved.....