Patrick Gilberg
Stories (11)
Filter by community
The Key to Enterprise Productivity: Unlocking Knowledge Efficiency
Why Knowledge Discovery is the Game-Changer for Enterprise Productivity In today’s fast-paced corporate world, productivity is not just about working harder; it’s about working smarter. The ability to quickly find and access the right knowledge is one of the biggest determinants of success. Yet, enterprises struggle with scattered information, lost institutional memory, and employees spending hours searching for data instead of making decisions.
By Patrick Gilberg11 months ago in Futurism
DeepSeek GPU Usage: Training vs. Inference
Understanding GPU requirements for AI models is critical for optimizing costs and performance. DeepSeek, a state-of-the-art AI model, exhibits vastly different hardware demands during training versus inference. Here’s a data-driven breakdown of its GPU consumption across both phases.
By Patrick Gilberg11 months ago in Futurism
Less Horsepower for More Horsepower: DeepSeek Hardware Requirements
AI infrastructure costs are skyrocketing, and enterprises are looking for ways to optimize performance without breaking the bank. DeepSeek is changing the game — delivering high-performance AI with fewer GPUs, less power consumption, and reduced operational costs.
By Patrick Gilberg11 months ago in Futurism
Mindfulness! Not My Thing… Until I Watched “Murder Mindfully”
Mindfulness. Just the word made me roll my eyes. It felt like a buzzword thrown around by everyone from wellness gurus to YouTube ads. I never connected with it — at least not until I watched Murder Mindfully.
By Patrick Gilberg11 months ago in Lifehack
Lions Don’t Ban Cheetahs Just Because They Run Faster
In the animal kingdom, survival is about adaptation, competition, and strength. Lions don’t ban cheetahs just because they run faster. They don’t wake up one day and declare, “From now on, cheetahs are not allowed to sprint faster than us because it’s unfair.” Instead, they evolve, improve their hunting strategies, and dominate in their own way.
By Patrick Gilberg11 months ago in Futurism
The Professor Who Failed Students for Using ChatGPT: A Step Backward in Education?
In a shocking move, a professor failed students for using ChatGPT — a tool that is a key part of the future of learning and work. His reasoning? That students must rely on their natural abilities, not external aids. But if this logic holds, does that mean he’ll soon ban eyeglasses, shoes, or even prosthetics?
By Patrick Gilberg11 months ago in Futurism
Collaborative Intelligence: When Generative AI and Human Biology Merge
The most powerful intelligence on Earth doesn’t exist yet. It won’t be purely artificial. It won’t be purely human. It will be born in the space between them — when the barrier separating silicon and cell finally dissolves.
By Patrick Gilberg11 months ago in Futurism
When Algorithms Understand You Better Than People Do — Is It Really Antisocial To Prefer Their Company?
I laughed so hard I nearly spilled my coffee. Then I remembered: I was alone in my apartment, talking to a machine. It wasn’t the first time Claude had made me laugh that day. Earlier, ChatGPT had designed a complete UI with features I hadn’t even considered implementing — working brilliantly with my vague, incomplete instructions. Compare that to my frustration with human colleagues who need everything explicitly defined, who constantly ask “what are the requirements?” and get stuck at every ambiguity. The AI just… got it.
By Patrick Gilberg11 months ago in Futurism
The AI Assistant Wars: A Fun Guide to Surviving ChatGPT, Claude, and DeepSeek
If you’re swimming in the AI waters these days, you’ve probably noticed something interesting: our AI assistants have developed quite… distinct personalities. As someone who’s spent countless hours wrestling with these digital companions, let me share the unfiltered truth about working with the current trinity of AI assistants.
By Patrick Gilberg11 months ago in Futurism
Living AI — How Neural Organoids Are Creating Biological Intelligence
This wasn’t supposed to happen. The neural organoid — a pea-sized cluster of human brain cells grown in a lab — wasn’t programmed. It had no software. No one uploaded a language model or trained it on terabytes of data.
By Patrick Gilberg11 months ago in Futurism
