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Global Tech Council

AI

Browse the latest ai articles, tutorials, and research from Global Tech Council.(516 articles)

Google AI’s Year in Review
Michael Willson

Google AI’s Year in Review

By the end of 2025, Google’s AI efforts reached a clear inflection point. Artificial intelligence inside the company no longer behaved like a collection of experimental features or research previews. It began operating as a dependable layer across products, science, and infrastructure. This was the…

Alibaba Releases Open-Source Video Generation Model, Wan 2.2
Michael Willson

Alibaba Releases Open-Source Video Generation Model, Wan 2.2

Alibaba’s DAMO Academy has officially released Wan 2.2, a powerful open-source video generation model. It can turn simple text prompts into high-quality video clips, positioning it as China’s answer to models like OpenAI’s Sora and Google’s Veo 3. The model is freely available for research and…

Gemini 3 Flash
Michael Willson

Gemini 3 Flash

Google’s launch of Gemini 3 Flash on 17 December 2025 marks a clear shift in how large AI models are being positioned for real world use. Instead of focusing only on peak intelligence or research benchmarks, Google is prioritizing speed, efficiency, and scale. Gemini 3 Flash is designed to be fast…

Cloud Gaming
Michael Willson

Cloud Gaming

Cloud gaming lets you play games that run on remote servers while your device receives a live video feed and sends back controller inputs in real time. Instead of relying on local hardware, the heavy processing happens in data centers. If the connection is fast and stable, the experience can feel…

OpenAI Launches ChatGPT App Store
Michael Willson

OpenAI Launches ChatGPT App Store

OpenAI’s decision to introduce a clearly labeled App Directory inside ChatGPT on 18 December 2025 marks a turning point in how the product should be understood. ChatGPT is no longer just an AI interface that answers questions. It is becoming a platform where users can browse, add, and use approved…

Netflix’s AI house
Michael Willson

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
Michael Willson

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
Michael Willson

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
Michael Willson

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”
Michael Willson

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
Michael Willson

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
Michael Willson

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…