Towards Data Science

Note: The TDS podcast's current run has ended. Researchers and business leaders at the forefront of the field unpack the most pressing questions around data science and AI.

Towards Data Science is a technology podcast hosted by The TDS team, with 130 episodes on record and a Required Pod Score of 83. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

The TDS team hosts Towards Data Science, a technology show with 130 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #131

  131. Jeremie Harris - TDS Podcast Finale: The future of AI, and the risks that come with it

  Oct 19, 202232 minS3

  <p>On the last episode of the Towards Data Science Podcast, host Jeremie Harris offers his perspective on the last two years of AI progress, and what he thinks it means for everything, from AI safety to the future of humanity. Going forward, Jeremie will be exploring these topics on the new Gladstone AI podcast.</p> <p>*** </p> <p>Intro music:</p> <p>- Artist: Ron Gelinas</p> <p>- Track Title: Daybreak Chill Blend (original mix)</p> <p>- Link to Track: https://youtu.be/d8Y2sKIgFWc</p> <h4>Chapters:</h4> 0:00 Intro 6:00 The Bitter Lesson 10:00 The introduction of G...

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  Episode #130

  130. Edouard Harris - New Research: Advanced AI may tend to seek power *by default*

  Oct 12, 202258 minS3

  <p>Progress in AI has been accelerating dramatically in recent years, and even months. It seems like every other day, there’s a new, previously-believed-to-be-impossible feat of AI that’s achieved by a world-leading lab. And increasingly, these breakthroughs have been driven by the same, simple idea: AI scaling.</p> <p>For those who haven’t been following the AI scaling sage, scaling means training AI systems with larger models, using increasingly absurd quantities of data and processing power. So far, empirical studies by the world’s top AI labs seem to suggest that scaling is an open-ended process that can lead...

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  Episode #129

  129. Amber Teng - Building apps with a new generation of language models

  Oct 5, 202251 minS3

  <p>It’s no secret that a new generation of powerful and highly scaled language models is taking the world by storm. Companies like OpenAI, AI21Labs, and Cohere have built models so versatile that they’re powering hundreds of new applications, and unlocking entire new markets for AI-generated text.</p> <p>In light of that, I thought it would be worth exploring the applied side of language modelling — to dive deep into one specific language model-powered tool, to understand what it means to build apps on top of scaled AI systems. How easily can these models be used in the wi...

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  Episode #128

  128. David Hirko - AI observability and data as a cybersecurity weakness

  Sep 28, 202249 minS3

  <p>Imagine you’re a big hedge fund, and you want to go out and buy yourself some data. Data is really valuable for you — it’s literally going to shape your investment decisions and determine your outcomes.</p> <p>But the moment you receive your data, a cold chill runs down your spine: how do you know your data supplier gave you the data they said they would? From your perspective, you’re staring down 100,000 rows in a spreadsheet, with no way to tell if half of them were made up — or maybe more for that matter.</p> <p>This might...

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  Episode #127

  127. Matthew Stewart - The emerging world of ML sensors

  Sep 21, 202242 minS3

  <p>Today, we live in the era of AI scaling. It seems like everywhere you look people are pushing to make large language models larger, or more multi-modal and leveraging ungodly amounts of processing power to do it.</p> <p>But although that’s one of the defining trends of the modern AI era, it’s not the only one. At the far opposite extreme from the world of hyperscale transformers and giant dense nets is the fast-evolving world of TinyML, where the goal is to pack AI systems onto small edge devices.</p> <p>My guest today is Matthew Stew...

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