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What Is Model Context Protocol (MCP) and Why Should You Care?

Model Context Protocol (MCP) is an open-source standard that defines how AI applications securely connect to data sources and tools, with potential benefits and risks for enterprise adoption.

Predictions About AI in 2026, Part 2: The Year the Vibes Got Audited

The first big AI wave was about awe. The second was about access. The third was about agents, everywhere, doing things on your behalf, quietly, inside the software you already use. The fourth wave, if you believe this year's pile of forecasts, looks less like a movie trailer and more like a compliance checklist.

Linux Foundation Launches Agentic AI Foundation, Uniting Tech Giants Around Open-Source AI Agents

The Linux Foundation has announced the formation of the Agentic AI Foundation (AAIF), a new collaborative initiative designed to build an open-source ecosystem for autonomous AI agents. The effort brings together major players across AI and cloud computing, including Microsoft, OpenAI, Anthropic, and other leading tech companies.

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X's New Terms Make AI Prompts, Outputs Explicitly the User's Responsibility

X is revising its Terms of Service (ToS) effective Jan. 15, 2026, with an update that more explicitly brings AI activity -- including Grok prompts and outputs -- under the platform's content and misuse rules.

Predictions About AI in 2026, Part 1: The Year AI Leaves the Lab and Enters the Blast Radius

For the last few years, the pitch has been that AI could mop up this mess. In 2026, the prediction wave says the pitch changes. The demo is no longer the product. The benchmark is no longer the finish line. The era of AI as a science project ends when AI touches reality, and reality touches back.

OpenAI Taps Slack Chief to Scale Its Enterprise Push

OpenAI has hired Denise Dresser, CEO of Slack, as its new chief revenue officer in a bid to accelerate its enterprise business at a time when the AI company is burning cash faster than almost any startup in history.

OpenAI Launches GPT-5.2 in Three Versions After "Code Red" Push to Counter Google's Gemini 3

OpenAI has released GPT-5.2, the latest version of its AI model family for ChatGPT, following a reported "code red" directive from CEO Sam Altman earlier this month. The directive was issued in response to competitive pressure from Google's Gemini 3 model, which recently topped multiple AI benchmarks.

The Architects of AI: Time's 2025 Person of the Year

When Time magazine revealed its 2025 Person of the Year, the publication honored a collective: the business leaders behind the artificial intelligence revolution.

Mickey Meets the Machine: Inside Disney's AI Pivot with OpenAI

Disney has struck a $1 billion, three-year licensing deal with OpenAI, signaling a significant shift in how traditional media companies engage with generative AI.

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IBM to Acquire Data Streaming Firm Confluent for $11 Billion in AI Infrastructure Push

IBM has agreed to buy data infrastructure company Confluent for $11 billion in cash, marking the technology giant's largest acquisition in years as it seeks to capitalize on surging enterprise demand for artificial intelligence capabilities.

NVIDIA Unveils Open-Source AI Tools for Safer Self-Driving Cars, Speech Recognition

At the annual NeurIPS artificial intelligence conference last week, NVIDIA launched a suite of open-source AI models and tools designed to support global research in areas ranging from autonomous vehicles to speech recognition and AI safety.

Inside OpenAI's Code Red Moment

In December 2022, Google declared a "code red." ChatGPT had just launched and was sucking up the internet's attention like a black hole. Google's search empire, suddenly vulnerable, pivoted hard to AI. Teams were reshuffled. Prototypes rushed. Three years later, the tables have turned. Sam Altman is now the one sounding the alarm.

How AI Is Accelerating Machine Learning Development

Generative AI is significantly accelerating machine learning development by assisting data scientists in three key ways: technique selection, code generation, and hyperparameter tuning. This typically reduces the time needed to create an ML prediction model by at least half.

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