Breaking

Google releases Gemma 4 26B with 256K context and multimodal support, free to use

Google DeepMind has released Gemma 4 26B A4B, a free instruction-tuned Mixture-of-Experts model with 262,144 token context window and multimodal capabilities including text, images, and video input. Despite 25.2B total parameters, only 3.8B activate per token, delivering performance comparable to larger 31B models at reduced compute cost.

April 7, 2026

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model release

Google releases Gemma 4 31B free model with 256K context and multimodal support

Google DeepMind has released Gemma 4 31B Instruct, a free 30.7-billion parameter model with a 256K token context window, multimodal text and image input capabilities, and native function calling. The model supports configurable reasoning mode and 140+ languages, with strong performance on coding and document understanding tasks under Apache 2.0 license.

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benchmark

Google AI Overviews reach 91% accuracy with Gemini 3, but 56% of answers lack verifiable sources

An independent study by AI startup Oumi found that Google's AI Overviews answered correctly 91% of the time with Gemini 3, up from 85% with Gemini 2, based on 4,326 searches using the SimpleQA benchmark. However, 56% of correct answers in Gemini 3 could not be verified through the linked sources—a significant increase from 37% in Gemini 2—and at Google's scale, a 9% error rate still translates to millions of wrong answers per hour.

3 min readvia the-decoder.com
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model releaseAnthropic

Anthropic unveils Claude Mythos model, finds thousands of OS vulnerabilities via Project Glasswing

Anthropic has unveiled Claude Mythos, a new AI model designed for cybersecurity that has already discovered thousands of high-severity vulnerabilities in every major operating system and web browser. The model is being distributed as a preview to over 40 organizations and major technology partners including Apple, Google, Microsoft, and Amazon Web Services through Project Glasswing, a coordinated cybersecurity initiative.

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product updateApple

Apple, Google, Microsoft join Anthropic's Project Glasswing to find critical software vulnerabilities

Twelve major technology companies—including Apple, Google, Microsoft, Amazon, and Nvidia—have launched Project Glasswing, a coordinated effort to identify and patch critical software vulnerabilities using Anthropic's unreleased Mythos Preview model. The initiative discovered thousands of zero-day vulnerabilities in mission-critical software, including a 27-year-old bug in OpenBSD and a 16-year-old vulnerability in widely-used video software that automated testing tools had missed.

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model releaseAnthropic

Anthropic previews Mythos, claims it found thousands of zero-day vulnerabilities in cybersecurity initiative

Anthropic unveiled a preview of Mythos, a frontier model it claims is the most powerful in its Claude lineup, for use in Project Glasswing—a cybersecurity initiative with 40+ partner organizations. According to Anthropic, Mythos identified thousands of zero-day vulnerabilities, many critical and up to two decades old, during early testing. The model will not be made generally available and is restricted to defensive security work by vetted partners.

2 min readvia techcrunch.com
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model releaseAnthropic

Anthropic withholds Mythos Preview model due to advanced hacking capabilities

Anthropic is rolling out its Mythos Preview model only to a handpicked group of 40 tech and cybersecurity companies, withholding public release due to the model's sophisticated ability to find tens of thousands of vulnerabilities and autonomously create working exploits. The model found bugs in every major operating system and web browser during testing, including vulnerabilities decades old and undetected by human security researchers.

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model release

GLM-5.1 achieves 58.4% on SWE-Bench Pro with sustained agentic reasoning over hundreds of iterations

Zhipu AI has released GLM-5.1, a 754-billion parameter model designed for agentic engineering with significantly improved coding capabilities over its predecessor. The model achieves 58.4% on SWE-Bench Pro and demonstrates sustained performance improvement over hundreds of tool calls and iterations, unlike earlier models that plateau quickly.

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model releaseMicrosoft

Microsoft open-sources Harrier embedding model with 27B parameters, 131K context window

Microsoft's Bing team has open-sourced Harrier, a 27-billion-parameter embedding model that supports over 100 languages and features a 131,072-token context window. The model ranks first on the MTEB v2 multilingual benchmark, outperforming proprietary offerings from OpenAI and Amazon, and is available on Hugging Face under the MIT license.

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product updateAmazon Web Services

Amazon Nova 2 Sonic enables real-time AI podcast generation with 1M token context

Amazon has published a technical guide for building real-time conversational podcasts using Amazon Nova 2 Sonic, its speech understanding and generation model. The solution demonstrates streaming audio generation, multi-turn dialogue between AI hosts, and stage-aware content filtering through a web interface.

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