Hosted by Digressive Podcasts · 🇺🇸 US · EN-UK · 40 episodes
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Welcome to the confusion matrix where we have lively and candid discussions about data, data science and AI in day to day life, business and beyond.
Digressive Podcasts hosts The Confusion Matrix, a technology show with 40 episodes published.
In this episode, Alex and Pete take their first deep dive into OpenClaw, the open-source AI agent framework that’s taken GitHub by storm. Alex walks through how he went from building a simple Ada bot for their grou
Alex and Pete are joined by consultant Toby Dykes to challenge the production-line view of software delivery. They discuss Agile, Scrum, AI as an amplifier, constraints, risk, feedback loops, and why better outcomes come
Alex and Pete discuss Alex’s experiment building a PowerPoint presentation with a single AI prompt while making bread, achieving surprisingly decent “middling” results and debating homogenization versus creative excellen
Alex and Pete dissect whether AI agents can actually replace knowledge workers, discussing why language models excel at testable tasks like coding, but fare less well at more general business activities that often requir
Alex and Pete discuss how AI agents are collapsing the software development lifecycle (SDLC), eliminating manual coding steps whilst creating new requirements for testing, monitoring, and managing increasingly complex au
Alex and Pete discuss our problematic tendency to project human characteristic on LLMs, and use anthropomorphic language when discussing them.
Alex and Pete grapple with the ethics of using generative AI in creative work—balancing utility against copyright theft, environmental impact, and career pressure whilst acknowledging there’s no easy resolution.
Alex and Pete examine whether AI will replace jobs within 18 months, discussing automation history, current limitations, and Microsoft’s predictions regarding workplace displacement.
Alex and Pete discuss AI coding agents’ limitations after Alex’s LLM client build revealed extensive bugs and missing features. They explore testing challenges, agent reliability metrics, and corporate liability concerns
Alex and Pete discuss Alex’s rebuild of his perma-regenerating LLM chat client. This time he did it properly! No messing, just hardcore, disciplined, systematic, agent-coding goodness. Join them as he walks Pete through
Alex and Pete examine OpenAI’s comprehensive report on ChatGPT usage patterns, analysing classification methodologies and user behaviour across consumer and workplace contexts. They discuss the shift from advice-seeking
Pete and Alex examine AI model evaluation methodologies, comparing traditional machine learning metrics with the qualitative assessment challenges of large language models. They discuss the collaborative requirements bet
Pete and Alex dig into cybersecurity risks with AI agents and generative AI systems. They cover two main problems: people coding dodgy applications without security knowledge, and hackers directly exploiting AI agents th
Pete and Alex recap their recent AI discussions, covering why language model “hallucinations” are actually normal behaviour, how most AI proof-of-concepts fail due to poor ideas rather than technical issues, the impact o
Alex and Pete discuss MIT’s study revealing 95% of GenAI projects fail despite massive enterprise investment. They explore why companies struggle to scale beyond pilots, the “shadow AI economy” of employees secretly usin
Alex explains his slow but unstoppable gravitation to text based interfaces and an “everything via the terminal” mentality. After all, who needs graphical operating systems? To do this, Pete and Alex take a ramble throug
Pete and Alex ponder whether we are at the point where LLMs are as good as they are going to get, and what the implications of this are. This requires a dip into the murky depths of what businesses exist to do and how th
Join Alex and Pete as they discuss building software that suits only your needs and idiosyn-crazies using AI. Surely this is a good thing, and not just another apocalypse in disguise? There’s only one way to find out!
Pete and Alex discuss the challenges of deploying language models in end-user facing systems, the dilemma of diversity vs accuracy of output, and how all of this is a giant headache for data scientists and software engin
Pete and Alex discuss the challenges of training models for accuracy, reliability and capability, and various techniques that are being used to ensure these. They talk about how to think about how the models work, why th
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The Confusion Matrix is hosted by Digressive Podcasts. The show is categorised under technology and has published 40 episodes.
The Confusion Matrix has published 40 episodes.
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Episodes of The Confusion Matrix average 67 minutes, giving guests a long-form format with plenty of time to expand on their expertise.
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