Thinking Machines Lab has published a research preview of TML-Interaction-Small, an interaction model designed to collaborate with the user in real time, without waiting for conversation turns.
DeepSeek releases a preview of its V4 family, two open-source models capable of processing up to one million tokens of context and competing with the best proprietary models in mathematics, science and coding.
OpenAI launches GPT-5.5, a model designed to handle complex tasks autonomously — coding, researching, analyzing data and operating a computer without step-by-step supervision.
OpenAI introduces ChatGPT Images 2.0, an image generation model with greater precision, multilingual support, flexible aspect ratios and, for the first time, reasoning capabilities.
Anthropic has launched Claude Design, a tool that enables users to create visual designs, interactive prototypes and presentations through conversation with its Claude Opus 4.7 AI model.
Anthropic publishes Claude Opus 4.7, a model with notable gains in software development tasks, higher image resolution and new cybersecurity safeguards.
Meta Superintelligence Labs launches Muse Spark, a multimodal artificial intelligence model capable of processing text and images simultaneously, incorporating an extended reasoning mode called Contemplating.
Anthropic has launched Project Glasswing, a cybersecurity initiative with twelve major technology companies to use its new AI model, Claude Mythos Preview, to detect and fix vulnerabilities in critical software.
Google has unveiled Gemma 4, a new family of open source artificial intelligence models available in four sizes, focused on advanced reasoning and complex task automation, under an Apache 2.0 license.
Microsoft introduces MAI-Transcribe-1, MAI-Voice-1 and MAI-Image-2, three models specialized in speech transcription, voice synthesis and image generation, now available in Microsoft Foundry.
Meta has released TRIBE v2, an AI model capable of predicting brain activity in response to images, sounds and text. Trained on data from more than 700 volunteers, it offers a resolution 70 times higher than comparable models.
AI models require large amounts of memory to operate quickly. Google Research has introduced TurboQuant, a compression algorithm that reduces that consumption up to six times without any loss of precision.
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