With its concept of the “Open Agentic Web”, Microsoft is redefining the future of digital interaction and placing autonomous AI systems at the center of technological development.
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Notion 2.51: AI meeting notes and enterprise search transform teamwork
With AI meeting notes, Enterprise Search 2.0 and the research mode, the new Notion version 2.51 brings three groundbreaking functions that fundamentally change the way teams work.
Microsoft’s ADeLe framework revolutionizes AI evaluation with 88% prediction accuracy
The future of AI evaluation has been fundamentally changed by Microsoft’s new ADeLe framework, which not only provides 88% accurate performance predictions for new tasks, but also explains why models fail or succeed.
DeerFlow: ByteDance’s AI agent system transforms scientific research
The multi-agent AI system DeerFlow transforms scientific research processes through intelligent automation and human supervision.
Continuous Thought Machine: How Sakana AI integrates biological thinking into AI systems
Sakana AI’s new Continuous Thought Machine (CTM) represents a radical paradigm shift in AI development by establishing neural synchronization as the core mechanism for machine thinking.
FaceAge: AI system uses facial photos for precise cancer prognoses
The latest AI innovation makes it possible to determine biological age from facial photos and achieves astonishing accuracy in predicting cancer prognoses.
Microsoft implements Google’s A2A protocol: AI agents are networked in a standardized way for the first time
In a significant development for AI ecosystems, Microsoft has announced the implementation of Google’s Agent2Agent (A2A) protocol. This strategic move enables the integration of Azure AI Foundry and Copilot Studio with external AI agents – including those based on non-Microsoft platforms.
ChatGPT model selection: The strategic importance of the GPT-4 model family for companies
The recent expansion of the ChatGPT model selector with specialized AI variants marks a decisive turning point for the use of advanced AI in the professional environment.
Phare benchmark revealed: Leading AI models deliver wrong information 30% of the time
The latest study by Giskard in collaboration with Google DeepMind shows that leading language models such as GPT-4, Claude and Llama invent facts that sound convincing but are not true up to 30% of the time. These AI hallucinations pose a growing risk to businesses and end users, especially when the models are instructed to give short, concise answers.
HunyuanCustom: AI video creation with unprecedented subject consistency unveiled
Tencent’s HunyuanCustom redefines AI-powered video generation through innovative architecture for consistent subject representation across different input models.