AI & Automation

AI models, tools, platforms, industry shifts, regulation, and automation trends shaping the future of work.

A King Air turboprop landing at sunset with a digital HUD overlay showing 'AUTOLAND ENGAGED'

Historic First: Garmin Autoland Saves King Air in Crisis

It was the scenario every pilot fears and every passenger dreads: an in-flight emergency leaving the cockpit compromised. But this time, the outcome was different. In a historic first, a King Air 200 utilized the Garmin Autoland system to navigate, communicate, and land entirely on its own, marking the first time autonomous landing tech has resolved a bona fide crisis in the wild.

A visualization of a 'Large Action Model' AI interacting with a digital interface. A glowing, ethereal neural network hand or cursor is manipulating complex 3D floating interface elements (buttons, sliders, code blocks) rather than just generating text. The background is a deep, sleek dark blue/purple technical void. High contrast, cinematic lighting, 8k resolution, photorealistic style, 16:9 aspect ratio. No text overlays.

Beyond ChatGPT: Why 2026 is the Year of the LAM

The tech world spent the last three years teaching AI to speak. It is about to spend the next three teaching it to act. This is the deep technical story of the "Large Action Model" (LAM) - the architecture that bridges the gap between text generation and physical execution in a user interface.

Conceptual visualization of an AI neural network with fragmented, glitchy outputs representing hallucinations

Why AI Hallucinations Are Still Unsolved

Despite advances in GPT-5, Claude, and Gemini, AI hallucinations remain a core structural problem. The issue is baked into how these models are built and will not be fixed with more data or bigger parameter counts.

A digital neural network dismantling a traditional green spreadsheet grid

AI vs. Excel: The Enterprise Decision-Making Shift

The 40-year reign of the spreadsheet is ending. Enterprise finance is shifting from static rows and columns to dynamic AI copilots that can stress-test cash flow in seconds, not weeks. Here is why the 'Excel Error' is becoming a relic of the past.

Visualization of three AI model nodes—Pro, Instant, and Thinking—converging into a central digital brain.

GPT-5.2: The Age of 'Thinking' Models Arrives

OpenAI silently drops three new models—Pro, Instant, and Thinking. We break down the architecture shift, the move to System 2 reasoning as a standard, and why 'reliability' has officially replaced 'scale' as the metric that matters.

A red emergency alarm illuminating the OpenAI logo with a looming blue Google Gemini shadow in the background.

OpenAI's Code Red: Can GPT-5.2 Catch Gemini 3? (Deep Dive)

Sam Altman has declared a 'Code Red' at OpenAI, pausing all non-essential projects to race against Google's Gemini 3. But is the imminent GPT-5.2 enough to close the gap, or has Google finally taken the lead? This analysis covers the architecture, the compute wars, and the agentic future.

Split composition showing abstract representations of Gemini and ChatGPT AI models facing off

Gemini vs. ChatGPT: Battle for the Search Bar 2025

Google Gemini has 650 million monthly users while ChatGPT claims 700 million. But raw user counts don't tell the full story of who's winning the AI assistant wars. However, the real winner might not be the smartest model, but the one that is hardest to avoid. Google has a history of using its ecosystem dominance to win. Chrome has 65% market share. Android has 70%. If Google makes Gemini the default search engine on these platforms, ChatGPT faces an uphill battle.