Computer Says Maybe

Our podcast is WRAPPED for the year! In our final episode before 2025, Alix Dunn, Prathm Juneja, and Georgia Iacovou got together to discuss their biggest learnings and ‘aha’ moments from the podcast in 2024. This has been an immense year of learning. We’ve learned both how to make a podcast that people want to listen to (thank you for your support!) and also learned so much from the guests we’ve interviewed throughout the year. If you haven’t listened yet— start HERE. In this episode we discuss clips from some of our favourite interviews and episodes so it’s basically like speed reading the whole year of episodes. It includes clips from: The Happy Few: Open Source AI — featuring Sayash Kapoor: https://lnkd.in/euYEqeJh Big Dirty Data Centres with Jenna Ruddock and Boxi Wu: https://lnkd.in/evRUxDD9 US Election Special with Spencer Overton: https://lnkd.in/ePd8cSXr The Age of Noise with Eryk Salvaggio: https://lnkd.in/eWX84-kv Chasing Away Sidewalk Labs with Bianca Wylie: https://lnkd.in/e47yKPKU The Human in the Loop featuring James Oyange : https://lnkd.in/e5BPFn5b The Stories we Tell Ourselves About AI featuring Daniel Stone: https://lnkd.in/ewgTifeb Thanks to our guests in 2024 who shared so much insight and expertise with our team and our listeners. We’ve also got some super exciting episodes in the new year, with guests including: Tawana Petty, who will share her experiences in becoming a community organiser in Detroit; Hanna Naima McCloskey and Rubie EÍlis Clarke to discuss the history of DEI and how it has been rejected by the tech industry, and malformed into MEI; Brian J. Chen, who will teach us a thing or two about the semiconductor industry

Honored to be included in this year-end collection of great chats with Alix Dunn from the Computer Says Maybe podcast! Great introduction to the show, which should be in the feed of anyone interested in thoughtful investigations into the politics of technology. #podcasts #criticalai #tech

Our podcast is WRAPPED for the year! In our final episode before 2025, Alix Dunn, Prathm Juneja, and Georgia Iacovou got together to discuss their biggest learnings and ‘aha’ moments from the podcast in 2024. This has been an immense year of learning. We’ve learned both how to make a podcast that people want to listen to (thank you for your support!) and also learned so much from the guests we’ve interviewed throughout the year. If you haven’t listened yet— start HERE. In this episode we discuss clips from some of our favourite interviews and episodes so it’s basically like speed reading the whole year of episodes. It includes clips from: The Happy Few: Open Source AI — featuring Sayash Kapoor: https://lnkd.in/euYEqeJh Big Dirty Data Centres with Jenna Ruddock and Boxi Wu: https://lnkd.in/evRUxDD9 US Election Special with Spencer Overton: https://lnkd.in/ePd8cSXr The Age of Noise with Eryk Salvaggio: https://lnkd.in/eWX84-kv Chasing Away Sidewalk Labs with Bianca Wylie: https://lnkd.in/e47yKPKU The Human in the Loop featuring James Oyange : https://lnkd.in/e5BPFn5b The Stories we Tell Ourselves About AI featuring Daniel Stone: https://lnkd.in/ewgTifeb Thanks to our guests in 2024 who shared so much insight and expertise with our team and our listeners. We’ve also got some super exciting episodes in the new year, with guests including: Tawana Petty, who will share her experiences in becoming a community organiser in Detroit; Hanna Naima McCloskey and Rubie EÍlis Clarke to discuss the history of DEI and how it has been rejected by the tech industry, and malformed into MEI; Brian J. Chen, who will teach us a thing or two about the semiconductor industry

A burst of insight for your Monday, featuring Siegel Emerging Tech Advisor Eryk Salvaggio and Computer Says Maybe Host Alix Dunn. Give it a listen ⤵️

This week Alix and Prathm interviewed Michelle Meagher about the buffet of antitrust cases against Google right now. In this episode Michelle gives much needed context on the history of antitrust and how we got here. It started as a tool to prevent concentration of power and the emergence of monopolies, and then was undermined by conservatives who reshaped antirust into a way to prevent monopolies from ripping off consumers. But now old school antitrust is back. For the time being at least. Learn more from Michelle about what this new resurgence means and what she hopes comes next…

This week Alix and Prathm interviewed Michelle Meagher about the buffet of antitrust cases against Google right now. In this episode Michelle gives much needed context on the history of antitrust and how we got here. It started as a tool to prevent concentration of power and the emergence of monopolies, and then was undermined by conservatives who reshaped antirust into a way to prevent monopolies from ripping off consumers. But now old school antitrust is back. For the time being at least. Learn more from Michelle about what this new resurgence means and what she hopes comes next…

This was a welcome and timely conversation! Generative AI as a symptom of the information overwhelm that we're living through -- and the subtle politics of the technologies we use to navigate that noise wall of our information environment. Thanks Alix Dunn for the convo and you should all check out Computer Says Maybe!

Our access to information in the online ecosystem has become so frictionless and fragmented that we have entered what this week’s pod guest Eryk Salvaggio refers to as ‘the age of noise’. In this episode Eryk discusses how generative AI systems and algorithmic feeds filter out the noise and present us with a greyish unimaginative ‘centre’, allowing important context to remain unobserved on the fringes. Link to full episode below 👇

AI advancements sometimes feel like sets of waves breaking, one after the other: another headline, another claim, another promise. Amidst the churn, it’s hard to work out what is real, what is overblown, and what we should be paying attention to and worrying about (hint: it’s not the robots). In September, at the Africa In the World festival, Dr. Abeba Birhane, with Alix Dunn, helped us do just that in a conversation titled: ‘Like Gods Among Men’—What Artificial Intelligence Is and Isn’t: Separating the Signal From the Noise. In this discussion, Abeba and Alix cover a variety of key topics related to AI, and it’s well worth listening to. At its core, though, the message was clear: question the narratives, the spins—the stories we’re being told—because beneath the veneer of objectivity and progress, AI, if adopted without caution and critical reflection, has the potential to cause catastrophic societal impacts that will disproportionately harm already disadvantaged minorities. 📺 We’re excited to share the full discussion on our YouTube channel here: https://lnkd.in/dC_v_HQG 👇 And an extract below. Dr. Abeba is a leading cognitive scientist, Senior Advisor in AI Accountability at the Mozilla Foundation, and an Adjunct Assistant Professor at the School of Computer Science and Statistics at Trinity College Dublin. And Alix leads an agency, Computer Says Maybe, which is "animated by the idea that technology will impact the world and that better futures are up for grabs." 🙏 Thank you to Abeba and Alix for bringing their expertise and sobering perspectives to this important conversation. Dele Olojede Dr. Sizakele M. Luminate Naomi Alexander Naidoo Stias #aiaccountability #aiethics #AIandSociety #africaintheworld #africaintheworld2024

Here’s Audrey Tang sharing the way she personally interfaces with AI models, describing them as a piece of assistive technology — like eye glasses. Link to the full episode on open source AI is in the comments!