Arcee, a 26-person U.S. startup, released Trinity Large Thinking, an open-source reasoning model it claims is the most capable open-weight model ever released by a non-Chinese company. Built on a $20 million budget, the model competes with other top open-source offerings while maintaining Apache 2.0 licensing, positioning itself as an alternative to both closed-source Western models and Chinese alternatives.
April 7, 2026
Z.ai has released GLM-5.1, a 754-billion parameter open-weight model matching the size of its predecessor GLM-5. The model demonstrates improved ability to generate complex, multi-part outputs like HTML pages with SVG graphics and CSS animations, available via Hugging Face and OpenRouter.
X is rolling out an updated in-app photo editor that integrates Grok to enable text-based image edits alongside traditional tools like blur, text overlay, and drawing. The feature brings X's editing capabilities closer to Google Photos' conversational editing.
Anthropic has not publicly released Claude Mythos, instead restricting access to a vetted set of partners through Project Glasswing. The company claims the model's cybersecurity research abilities—including finding thousands of high-severity vulnerabilities in major operating systems and browsers—warrant controlled deployment until industry safeguards mature.
Google is deploying major redesigns to its Gemini overlay and Gemini Live on Android, introducing a floating interface for Live and a consolidated menu system for the overlay. The updates are rolling out in Google app beta version 17.3 and represent the third major visual overhaul in as many months.
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.
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.
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.
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.
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.
Anthropic released version 0.90.0 of its Python SDK on April 7, 2026, adding support for the claude-mythos-preview model. The update also includes a bug fix for query parameter merging in the client.
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.
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.