DeepSeek-AI’s new framework solves the instability of Hyper-Connections, paving the way for scalable, next-gen foundation models.
The Scalability Bottleneck: While recent Hyper-Connections (HC) have boosted AI...
Leaked discussions reveal plans to give advertisers "preferential treatment" in conversations, raising questions about the future of user trust and AI neutrality.
Priority for Payers: OpenAI...
From "Vibe Coding" to "Nano Bananas," how reasoning models and agents redefined the AI landscape.
The Rise of Reasoning and Agents: 2025 moved beyond simple text...
Unlocking precise control in AI image generation by bridging the gap between freehand sketching and complex multimodal instructions.
Breaking the Language Barrier: DreamOmni3 moves beyond the...
OpenAI explores a lucrative pivot that could see the world’s most popular chatbot prioritizing advertisers over impartial answers.
The Strategy: Internal discussions at OpenAI reveal plans...
How a new AI framework is bridging the gap between 4D geometry and realistic video editing.
The Challenge: Inserting objects into video (VOI) has historically failed...
Senator Marsha Blackburn’s latest proposal is a "cornucopia" of dangerous anti-tech policies—from gutting Section 230 to mandating political bias in algorithms—all wrapped in one...
From declaring frequent “code reds” to capturing user loyalty through “sticky” experiences, the OpenAI CEO reveals why the race for AI dominance is just...
From exploding pressure cookers to candy forests, a wave of low-quality, algorithmic content is generating billions of views—and drowning out human creativity.
Algorithmic Saturation: Research indicates...
Raising $75 million, the startup proves that before companies can successfully automate with AI, they must first document how work actually gets done.
Unicorn Milestone: Scribe...
A 2,000-kilometer "deterministic network" now allows thousands of distinct data centers to function as a single, unified brain.
A Unified Giant: China has officially launched the...
Unveiling the "Block-Recurrent Hypothesis" and the emergence of dynamical simplicity in deep learning.
The Block-Recurrent Hypothesis (BRH): Deep Vision Transformers (ViTs) often operate like recurrent systems,...
