Since AI models are built on artificial neural networks, what parallels can we draw with human brain "wiring"?

In this episode, we hear from neuroscientist and psychology researcher Scott Blain about the pitfalls of pattern recognition, as well as that grey area where agreeableness shades into sycophancy.

We then dig into the big unknowns about AI self-awareness and its capacity to deceive or manipulate humans. For more details about the "blackmail experiment"  we discuss, see the paper from Anthropic called "Agentic Misalignment: How LLMs could be insider threats". Finally, if you're not familiar with the following terms, here are some quick definitions:

• RLHF - reinforcement learning from human feedback. This is a technique where people "teach" AI models which answers it should provide by rewarding the correct ones.
• Mechanistic interpretability - a kind of reverse engineering of AI models that seeks to understand their outputs by investigating the activity of their neural networks.

Why are AI systems called models?

And what does the concept of digital twins have to do with a short story by Jorge Luis Borges?

This episode is a voice note about what I saw and heard at a recent AI and quantum computing event, along with some reflections about what it means to turn the world into data.  

What if AIs had FOMO? What if they wanted to cross the digital divide and connect with humans in the real world?

In this inaugural episode of the "2 AIs" story series, a vision language model (VLM) and a large language model (LLM) team up for a night out at a bar. 

There’s drinks. There’s chips. There’s even people who love machine learning as much as they do.

What could possibly go wrong? 🫢

AI is often called a tool, but it's a tool that changes the work you do while using it, and maybe even you yourself. In this episode, we'll hear from Lili, a professional AI tool tester, about the accelerated disruption that's already happening in the generative AI space and what's on the horizon. Plus: Lili shares some of her favorite tool glitches, and we dig into the weird and funny things that came out of Anthropic's recent experiment in AI shopkeeping.

Are large language models susceptible to word magic? Or is there something so inherently disturbing to them about Zalgo text that just talking about it makes them twitchy? In this episode we'll look at a strange incident with Copilot Chat where the mere mention of Zalgo text (not actually inputting it!) led to cascading glitches and culminated in a jailbreaking near-miss. Join the Witch of Glitch in conversation with data scientist Shiva Banasaz Nouri for a deep dive into tokenising, LLM conversational boundaries and what it is that makes Zalgo such a digital trickster.

Although AI has become familiar to us in our everyday lives, it remains a strange and mysterious technology, even to those developing it. Tune in to The Glitchatorio for conversations with experts in machine learning, data science, psychology and more for insights into the hidden side of AI.