Author: GW Alger

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Quantum Computers, explained with MKBHD

You’ve heard about quantum computers. Maybe you’ve seen the “race for quantum supremacy” between governments and companies, or read that quantum computers will break all encryption, or heard terms like “qubits” or “superposition” or “quantum mechanics” in a confusing tv segment. But you might be wondering… what does a quantum computer actually DO? And how could it actually affect my life?

Marques and I both realized quantum computing was this big important technology… that we didn’t really understand. So we decided to go on an adventure to learn the truth about quantum computers. And we’re taking you with us, to show you what we learn as we learn it. But more importantly, to show you how these crazy computers might actually impact YOUR life… sooner than you think.

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GPT 4 Can Improve Itself – (ft. Reflexion, HuggingGPT, Bard Upgrade and much more)

GPT 4 can self-correct and improve itself. With exclusive discussions with the lead author of the Reflexions paper, I show how significant this will be across a variety of tasks, and how you can benefit.

I go on to lay out an accelerating trend of self-improvement and tool use, laid out by Karpathy, and cover papers such as Dera, Language Models Can Solve Computer Tasks and TaskMatrix, all released in the last few days.

I also showcase HuggingGPT, a model that harnesses Hugging Face and which I argue could be as significant a breakthrough as Reflexions. I show examples of multi-model use, and even how it might soon be applied to text-to-video and CGI editing (guest-starring Wonder Studio). I discuss how language models are now generating their own data and feedback, needing far fewer human expert demonstrations. Ilya Sutskever weighs in, and I end by discussing how AI is even improving its own hardware and facilitating commercial pressure that has driven Google to upgrade Bard using PaLM.

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Artificial Intelligence – Are We There Yet?

Ask AI experts about the progress of artificial intelligence and they may say “We’re only five or ten years away.” Five or ten years later, are experts still saying the same thing? In this video with Martin Keen and Jeff Crume, they review the progress in AI and try to answer the question: Are we there yet?

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How Quantum Computers Will Solve the Unsolvable

You’d think the computers of today are so fast and efficient that they can’t possibly get any better. Well, imagine a computing power so vast it can crack encryption codes in the blink of an eye, and simulate complex chemical reactions with unbelievable accuracy. They’ll start a real revolution in fields like medicine, finance, and artificial intelligence! This is the world of quantum computing — a world where the laws of physics and the limits of technology are pushed to their farthest boundaries.

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What is electricity? – Science for Kids – Episode 1

Educational video for children to learn what electricity is and how it is produced. Before electricity was invented, people used candles for light. Now, with just a push of a button, we can light up our houses. Not only that, with electricity, we can power trains and amusement park rides! We can create electricity by using the energy from natural resources around us like fossil fuels, wind (eolic energy), water (hydraulic energy) or even the sun (solar energy). Energy transported through cables and wires or it can be stored in batteries. This video is an excellent resource for elementary school.

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GPT 4: 9 Revelations (not covered elsewhere)

This video will give nine more insights from the bombshell GPT 4 Technical Report. It is the companion video to the ’14 Crazy Details’ released the day before. In this video, I will cover:

Tests on how to ‘shut down’ the model in the wild, and how that might go wrong. Sam Altman requesting more regulation (!), milestone moments for humanity as more benchmarks fall, a hidden constitution, why GPT 5 might already be trained and much more.

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What are Generative AI models?

Generative AI has stunned the world with its ability to create realistic images, code, and dialogue. Here, IBM expert Kate Soule explains how a popular form of generative AI, large language models, works and what it can do for enterprise.

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