Tag: deepmind
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Gemini 4 Argon Goes Global With a 1M-Token Output Limit
Lead — On October 13, 2026, Google opened general access to Gemini 4 Argon, the frontier model it announced on September 30 for long-horizon work in software engineering, enterprise knowledge work, and cyber defense. Argon is now available to developers and enterprises through the Gemini API in AI Studio and the Gemini platform, to Google […]
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NHC Leaned on DeepMind AI to Forecast Hurricane Isaias
Lead — Hurricane Isaias made landfall near Destin, Florida, at 8:30 p.m. CDT on October 9, 2026, as a Category 2 storm with 105 mph (169 km/h) winds. What made the storm notable beyond the Gulf Coast was how its forecast was made: for the first time in a US landfall threat, National Hurricane Center (NHC) forecasters […]
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Gemini 3.7 Flash: A Big Coding Jump in a Three-Week Point Release
On August 13, 2026, Google DeepMind released Gemini 3.7 Flash — just 23 days after Gemini 3.6 Flash, and built on the same architecture and training data. The model card is explicit that this is not a new pretraining run but “algorithmic improvements to its core reasoning foundation.” The gains are concentrated almost entirely in […]
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Google Open-Sources WeatherNext: Cyclone Forecasts Gain a Day
On August 6, 2026, Google DeepMind released the code and model weights for its WeatherNext forecasting family on GitHub, alongside a Nature paper reporting that its cyclone model gives forecasters roughly an extra day of warning on tropical storm track, intensity, and size. The release covers three variants — WeatherNext Cyclones, the general-purpose WeatherNext 2, […]
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Google’s Gemini 3.6 Flash Cuts Agent Token Costs by up to 65%
On July 21, 2026, Google DeepMind released Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber — a refresh of the entire Flash tier aimed squarely at teams running AI agents at scale. The headline claim is not a higher intelligence ceiling but a lower bill: 3.6 Flash uses 17% fewer output tokens […]
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Google Ships Gemma 4 QAT Models: 72% Less VRAM, Same Quality
Lead — On June 5, 2026, Google DeepMind released quantization-aware training (QAT) checkpoints for the entire Gemma 4 family, cutting memory requirements by roughly 72% while keeping output quality nearly identical to the full-precision models. The release spans every size — from the sub-1 GB E2B edge model to the 31B dense flagship — and […]
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Google Releases Gemma 4 12B: Frontier Multimodal AI on a Laptop
Lead — On June 3, 2026, Google DeepMind released Gemma 4 12B, a unified, encoder-free multimodal model that brings frontier-class intelligence to a single 16 GB laptop. The 11.95-billion-parameter model handles text, images, and audio in one decoder-only transformer, supports a 256K-token context across 140+ languages, and ships under a fully permissive Apache 2.0 license. Google […]
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Gemma 4 Gets Multi-Token Prediction Drafters: 3x Faster Inference, Same Outputs
Lead — On May 5, 2026, Google released Multi-Token Prediction (MTP) drafters for the Gemma 4 family of open models. The drafters use speculative decoding to deliver up to a 3x speedup in inference latency without changing model outputs, and they ship under the same Apache 2.0 license as the underlying models. Advanced Key points […]
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Google Releases Gemini 3.1 Flash TTS with 200+ Audio Tags
On April 15, 2026, Google DeepMind released Gemini 3.1 Flash TTS — a text-to-speech model that introduces more than 200 granular audio tags for steering vocal style, tone, pacing, and accent, and tops the Artificial Analysis TTS leaderboard with an Elo score of 1,211. The preview is available through the Gemini API, Google AI Studio, […]
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Google’s TurboQuant Cuts LLM Memory 6x with Zero Accuracy Loss
On March 25, 2026, Google Research introduced TurboQuant — a new compression algorithm that reduces LLM key-value (KV) cache memory by 6x and delivers up to 8x inference speedup on NVIDIA H100 GPUs, all with zero accuracy loss. The algorithm, set to be presented at ICLR 2026, could reshape how organizations deploy large language models […]