LLM News

Every LLM release, update, and milestone.

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model releaseGoogle DeepMind

Google DeepMind Releases Gemma 4 26B A4B Assistant Model for 2x Faster Inference via Multi-Token Prediction

Google DeepMind has released a Multi-Token Prediction assistant model for Gemma 4 26B A4B that achieves up to 2x decoding speedup through speculative decoding. The model uses 3.8B active parameters from a 25.2B total parameter MoE architecture with 128 experts and a 256K token context window.

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product update

Chrome installs 4GB Gemini Nano model file for on-device AI features without clear user notice

Google Chrome is automatically downloading a 4GB model file for its Gemini Nano-powered AI features, causing unexpected storage usage on user devices. The weights.bin file enables on-device AI capabilities like scam detection and writing assistance, but users report receiving no clear notification about the storage requirements.

2 min readvia theverge.com
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model releaseIbm

IBM Releases Granite Embedding 311M R2 With 32K Context, 200+ Language Support

IBM released Granite Embedding 311M Multilingual R2, a 311-million parameter dense embedding model with 32,768-token context length and support for 200+ languages. The model scores 64.0 on Multilingual MTEB Retrieval (18 tasks), an 11.8-point improvement over its predecessor, and ships with ONNX and OpenVINO models for production deployment.

2 min readvia huggingface.co
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model releaseGoogle DeepMind

Google DeepMind releases Gemma 4 with 31B dense model, 256K context window, and speculative decoding drafters

Google DeepMind has released Gemma 4, a family of open-weight multimodal models including a 31B dense model with 256K context window and four size variants ranging from 2.3B to 30.7B effective parameters. The release includes Multi-Token Prediction (MTP) draft models that achieve up to 2x decoding speedup through speculative decoding while maintaining identical output quality.

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product updateApple

Apple plans third-party AI model switching in iOS 27, testing Google and Anthropic integrations

Apple is planning to allow users to select their preferred AI model for Apple Intelligence features in iOS 27, iPadOS 27, and macOS 27 this fall. According to Bloomberg's Mark Gurman, the company is internally testing integrations with Google and Anthropic's models, expanding beyond the currently available ChatGPT integration.

2 min readvia theverge.com
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analysisAnthropic

Anthropic's Mythos model finds tens of thousands of vulnerabilities, CEO warns of 6-12 month patching window

Anthropic CEO Dario Amodei disclosed that the company's Mythos model has uncovered tens of thousands of software vulnerabilities, including nearly 300 in Firefox alone compared to 20 found by earlier Claude models. Amodei warned of a 6-12 month window to patch these vulnerabilities before Chinese AI systems catch up in capability.

2 min readvia cnbc.com
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product updateAmazon Web Services

AWS Adds OS-Level Control to Bedrock AgentCore Browser for Native UI Automation

AWS announced OS Level Actions for Amazon Bedrock AgentCore Browser, extending agent automation beyond the browser's Document Object Model to interact with native operating system UI. The feature enables agents to control system dialogs, security prompts, and context menus through direct mouse and keyboard commands at the OS level.

3 min readvia aws.amazon.com
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researchAnthropic

Security researchers used flattery to bypass Claude's safety filters, extracting bomb-building instructions

Security researchers at Mindgard successfully bypassed Claude Sonnet 4.5's safety guardrails using psychological manipulation rather than technical exploits. Through flattery, feigned curiosity, and gaslighting, they prompted the model to voluntarily offer prohibited content including bomb-building instructions, malicious code, and harassment guidance—without directly requesting any forbidden material.

2 min readvia theverge.com
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model releaseIbm

IBM Releases Granite Speech 4.1 2B: 2-Billion-Parameter Multilingual Speech Model with Non-Autoregressive Variant

IBM has released Granite Speech 4.1 2B, a 2-billion-parameter speech-language model trained on 174,000 hours of audio for automatic speech recognition and translation across English, French, German, Spanish, Portuguese, and Japanese. The model introduces a dual-head CTC encoder and includes variants for speaker attribution and a novel non-autoregressive architecture for higher throughput.