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AI News Digest - 2026-04-03

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1.

Google released Gemma 4, its most capable open model family, and distributed four new models under the Apache 2.0 license for the first time, with variants optimized for devices ranging from smartphones to workstations.

2.

Microsoft introduced MAI-Transcribe-1, a speech-to-text model that ran 2.5× faster than its predecessor, processed 25 languages with robustness to background noise, and was priced at about $0.36 per audio hour while being deployed in Microsoft products.

3.

Nvidia set new MLPerf inference records using 288 GPUs in the latest benchmark round, which for the first time included multimodal and video models, while AMD and Intel emphasized different performance metrics.

4.

Alibaba launched Qwen3.6-Plus, marking its third proprietary AI model release in a matter of days.

5.

Nvidia, UC Berkeley and Stanford released a framework showing that state-of-the-art AI models failed at robot control without human-designed building blocks, and demonstrated that agentic scaffolding techniques, including targeted test-time compute scaling, substantially closed the performance gap.

References

1.

https://the-decoder.com/googles-gemma-4-is-now-available-with-apache-2-0-licensing-for-the-first-time/

Google's Gemma 4 is now available with Apache 2.0 licensing for the first time

Google is releasing Gemma 4, its most capable open model family yet. The four new models run on everything from smartphones to workstations and ship under a fully open Apache 2.0 license for the first time.

the-decoder.com

1.

https://the-decoder.com/microsofts-mai-transcribe-1-runs-2-5x-faster-than-its-predecessor-at-0-36-per-audio-hour/

Microsoft's MAI-Transcribe-1 runs 2.5x faster than its predecessor at $0.36 per audio hour

MAI-Transcribe-1 converts speech to text quickly and accurately in 25 languages, even with background noise. Microsoft is already using the model in its own products.

the-decoder.com

1.

https://the-decoder.com/nvidia-sets-new-mlperf-records-with-288-gpus-while-amd-and-intel-focus-on-different-battles/

Nvidia sets new MLPerf records with 288 GPUs while AMD and Intel focus on different battles

The latest round of the industry's top inference benchmark introduces multimodal and video models for the first time. Nvidia, AMD, and Intel each highlight different metrics, making direct comparisons difficult.

the-decoder.com

1.

https://the-decoder.com/alibaba-launches-qwen3-6-plus-its-third-proprietary-ai-model-in-days/

Alibaba launches Qwen3.6-Plus, its third proprietary AI model in days

Alibaba has released Qwen3.6-Plus, its third proprietary AI model in just a few days.

the-decoder.com

1.

https://the-decoder.com/ai-models-fail-at-robot-control-without-human-designed-building-blocks-but-agentic-scaffolding-closes-the-gap/

AI models fail at robot control without human-designed building blocks but agentic scaffolding closes the gap

A new framework from Nvidia, UC Berkeley, and Stanford systematically tests how well AI models can control robots through code. The findings: without human-designed abstractions, even top models fail, but methods like targeted test-time compute scaling closes the gap.

the-decoder.com

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