Assumption · GearOpen

# Assumption

The Inertia of Intelligence: Escaping the Trap of Assumption

When facing a complicated situation, the greatest decision-making risk is often not a lack of data, but a tendency to stick to an old idea of approaching a problem even after the situation has shown it may be…

P Gaming

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Thexboxhub ·last mo.

Pengilo Review | TheXboxHub

A Platform-Golf-Bouncing Game That is one of the Most Marmite Experiences You’ll Play I was braced for some platforming in Pengilo but got that assumption entirely wrong.

W Cameras

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Fstoppers ·last mo.

Why I'm Still Using My Nikon D850 in 2026 | Fstoppers

I've been asked more times than I can count when I'm finally going to move on from my DSLR. The assumption is always the same. People think that holding on is a technical decision, or a reluctance to keep up.

A AI & Bots

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TechRadar ·2 mo. ago

AI agents are being deployed – but not to full effect

Deployment has become the wrong measure of progress. Across every sector, the conversation about AI agents has moved on from whether to deploy them to how quickly more can be added.

Y AI & Bots

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TechRadar ·2 mo. ago

Your security team doesn’t know about half its users

Security teams built their entire model around human users, people who pause before clicking, who notice when something looks off, who can be trained to spot suspicious downloads.

A AI & Bots

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TechRadar ·3 mo. ago

AI is no longer borderless

The assumption that AI is a global, borderless technology is breaking down. Sam Altman, CEO of OpenAI, even expressed how AI has the potential to “dramatically lift up the floor” globally.

A AI & Bots

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TechRadar ·3 mo. ago

AI is redefining product discovery, making structured data and trust critical for visibility

Digital commerce has always been built around a relatively stable assumption: consumers will search, scroll, compare, and then checkout.

C AI & Bots

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TechRadar ·5 mo. ago

Context, not compute, will define the next generation of intelligence

For years, AI progress has been measured by scale: larger models, bigger datasets, longer context windows. Each new breakthrough promises that if we simply feed systems more data, we’ll get sharper insights.