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1,838+ research articles, technical guides, and in-depth analyses authored by council members and industry experts.
Articles - Page 28
1,838 articles
Netflix’s AI House
Netflix’s AI-Based House is not a smart home experiment or a futuristic AI demo space. It is a physical, permanent entertainment venue where Netflix blends immersive technology, data-driven personalization, and interactive storytelling to move its content off the screen and into the real world. The…
Meta SAM Audio
Meta SAM Audio represents a clear shift in how audio is edited, analyzed, and understood by machines. Instead of treating sound as a narrow, task-specific problem like noise removal or vocal isolation, Meta has extended its Segment Anything research into the audio domain with a single, flexible…
Meta’s AI Glasses Got a Hearing Update
Meta’s AI glasses have moved beyond cameras and voice commands into something far more practical. With a new hearing-focused update released in mid-December 2025, Meta is positioning its smart glasses as everyday assistive devices rather than novelty wearables. The update, delivered through…
3 Reasons GPT 1.5 Beats Nano Banana Pro
If you have been generating images long enough to feel the “regen roulette” fatigue, GPT 1.5 is the first OpenAI image release in a while that actually changes the day to day experience. Not in a vague “it feels better” way, but in a way you can measure in outputs, consistency, and how often you…
How OpenAI Quietly Adopted Anthropic’s “Skills”
In late 2025, while public attention stayed fixed on benchmark charts and model releases, a quieter but more consequential shift was unfolding inside the AI ecosystem. OpenAI began adopting a structural idea that did not originate in-house. It came from Anthropic, and it was called “skills.” This…
Google’s Deep Research Agent
Google’s Deep Research Agent marks a practical shift in how complex research is done with AI. It is built for depth, not speed. Instead of producing an immediate response, the system plans a research path, explores multiple sources, checks gaps, and then delivers a structured report that reflects…
What TIME’s Architects of AI List Missed to Cover
When TIME revealed its Architects of AI list, the intention was clear. The magazine wanted to capture the people and forces shaping artificial intelligence at a moment when AI has moved from lab curiosity to economic and political infrastructure. The list featured recognizable names, powerful…
OpenAI Launches GPT-5.2
OpenAI did not launch GPT-5.2 to chase headlines. It launched GPT-5.2 because pressure was mounting from every direction at once. Gemini 3 had shifted perception around raw problem solving. Claude Opus 4.5 was winning developer trust. Enterprise buyers were openly questioning reliability, speed,…
The Case of Enterprise AI
Enterprise AI has moved from hype filled conversations to measurable impact, real adoption and clear competitive gaps between companies that use AI well and those that lag behind. For the first time, we have enough data from thousands of organizations to understand what is actually happening inside…
The Shifting AI Race
The AI world is moving so quickly that even people who follow it closely feel like their footing slips every few weeks. One big announcement resets expectations, a surprise model release shifts confidence, and suddenly the winner of last month feels less secure. It shows an AI landscape that is not…
RAG vs CAG
Retrieval Augmented Generation and Context Autonomous Generation represent two distinct approaches in modern AI system design. While they are often mentioned together, they solve entirely different operational problems and enable different levels of intelligence. Organizations preparing to deploy…
What Is Claude Code?
Claude Code is an advanced agent driven development environment designed to help engineers work faster, reduce repetitive tasks and increase accuracy across the software lifecycle. It is more than a code assistant. It behaves like a virtual teammate that can read complex repositories, understand…