Episode 150: LLMs with Simon WIllison

Episode 150: LLMs with Simon WIllison

In this milestone 150th episode, hosts Kelly Schuster-Paredes and Sean Tibor sit down with Simon Willison, co-creator of Django and creator of Datasette and LLM tools, for an in-depth conversation about artificial intelligence in Python education. The discussion covers the current landscape of LLMs in coding education, from the benefits of faster iteration cycles to the risks of students losing that crucial "aha moment" when they solve problems independently. Simon shares insights on prompt injection vulnerabilities, the importance of local models for privacy, and why he believes LLMs are much harder to use effectively than most people realize. Key topics include: Educational Strategy: When to introduce AI tools vs. building foundational skills first Security Concerns: Prompt injection attacks and their implications for educational tools Student Engagement: Maintaining motivation and problem-solving skills in an AI world Practical Applications: Using LLMs for code review, debugging, and rapid prototyping Privacy Issues: Understanding data collection and training practices of major AI companies Local Models: Running AI tools privately on personal devices The "Jagged Frontier": Why LLMs excel at some tasks while failing at others Simon brings 20 years of Django experience and deep expertise in both web development and AI tooling to discuss how educators can thoughtfully integrate these powerful but unpredictable tools into their classrooms. The conversation balances excitement about AI's potential with realistic assessments of its limitations and risks. Whether you're a coding educator trying to navigate the AI revolution or a developer interested in the intersection of education and technology, this episode provides practical insights for working with LLMs responsibly and effectively. Resources mentioned: - Simon's blog: simonwillison.net - Mission Encodable curriculum - Datasette and LLM tools - GitHub Codespaces for safe AI experimentation Special Guest: Simon Willison.

Jaksot(151)

Episode 94: Anaconda in Education

Episode 94: Anaconda in Education

Sean and Kelly speak with Anaconda and their outreach program. Anaconda supports educators and learners with the ability to understand and interpret data. This leads to better decision-making and a world where people are empowered to create positive change. Episode Errata: * The hackday event referenced in the episode was related to Pyscript and more information will come out on that shortly. * The data science competition for high school students referenced in the episode is called Data Science Expo and will be piloted in the 2022-2023 school year. Note: we had to go to the cloud-based recording backup for this episode, so you may notice a few issues with audio quality. Our editor did his best to clean it up, but there are a few rough spots. Special Guests: Albert Defusco and Sophia Yang.

1 Elo 20221h 3min

Episode 93: Mission Encodeable

Episode 93: Mission Encodeable

Harry and Anna are high-school students who are passionate about coding, engineering, and design. When they’re not doing their homework, they’re busy writing tutorials, designing website wireframes, and planning the next courses for Mission Encodeable. Special Guests: Anna Wake and Harry Wake.

20 Heinä 202244min

Episode 92: Let's Talk Teaching

Episode 92: Let's Talk Teaching

In this episode, Sean and Kelly talk with Computer Science and STEM teachers about our wins, our failures, and all about teaching Python. We're joined by teachers Dottie Holland, Andre Chmielewski, and Andy Colley to talk about everything from our favorite teaching resources, what it's like to teach after the exams are over, why Python over other languages, and more.

13 Heinä 202250min

Episode 91: The New Beta Python Micro:bit Editor

Episode 91: The New Beta Python Micro:bit Editor

In this episode, we will learn about the new features of this great alpha product for the micro:bit. Its main goals are to make coding with Python per se and Python on the micro:bit more accessible: * An appealing user interface with bright colours * Contextual help and autocomplete * Example snippets of code you can browse and insert, like browsing blocks in MakeCode or Scratch * Simple code structure highlighting to aid understanding about indents in Python * Explanation of features of MicroPython useful in CS teaching, but not covered in device-oriented documentation * Built-in serial console and REPL so you can do more traditional Python coding using your keyboard input and printing to the screen – the micro:bit is your Python runtime! Special Guest: Giles Booth.

31 Touko 202248min

Episode 90: Equitable Learning

Episode 90: Equitable Learning

We welcome David Cavallo an entrepreneur in using technologies to improve learning and promote social equitable development. Our topic this week is equitable computation learning and the reasons and methods for it. Special Guest: David Cavallo.

12 Touko 202256min

PyConUS 2022 Debrief!

PyConUS 2022 Debrief!

Kelly and Sean debrief on PyCon US 2022 on Sunday morning before flying home. From the Education Summit to the Expo Hall to the Talk Track, we cover it all. Most importantly, we cover the best food and coffee to check out for next year in Salt Lake City! Note - this is a live debrief with no editing. Enjoy!

1 Touko 202236min

Episode 89: FinTech Careers

Episode 89: FinTech Careers

In the 2007 film, Shift Happens, Carl Fisch (later modified by Scott Mcleod) stated that “The top 10 in-demand jobs in 2010 did not exist in 2004. We are currently preparing students for jobs that don’t exist yet, using technologies that haven’t been invented, in order to solve problems we don’t even know are problems yet.” Although the 65% figure has been debunked quite often and the data that was used during the video cannot always be verified, it is safe to say that the jobs of today, have evolved quite a bit since 2004. In addition, a lot of these fields are Global, rely a lot on technology and the use of code, like Python. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, Ethical AI, and Data Science We welcome Xavier De Pauw Founder & co-CEO of lendX, a B2B fintech that is looking to revolutionize the alternative credit sector with its SaaS Enabled Marketplace. Xavier started his career at Merrill Lynch in London as a Fixed income capital markets & structured finance banker. After 10 years, he co-founded a challenger banking group and was CEO of the digital challenger bank in the group. Again 10 years later, Xavier joined a €75bln private bank and asset manager as their head of strategic innovation. In 2020, Xavier went back to entrepreneurship, became a member of the advisory board at several fintechs and launched lendX with two other founders. Special Guest: Xavier De Pauw.

20 Huhti 202246min

Episode 88: Data Science Careers

Episode 88: Data Science Careers

In the 2007 film, Shift Happens, Carl Fisch (later modified by Scott Mcleod) stated that “The top 10 in-demand jobs in 2010 did not exist in 2004. We are currently preparing students for jobs that don’t exist yet, using technologies that haven’t been invented, in order to solve problems we don’t even know are problems yet.” Although the 65% figure has been debunked quite often and the data that was used during the video cannot always be verified, it is safe to say that the jobs of today, have evolved quite a bit since 2004. In addition, a lot of these fields are Global, rely a lot on technology and the use of code, like Python. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, Ethical AI, and Data Science We welcome Michael Galarnyk. Michael currently teaches Python for Data Visualization for LinkedIn Learning, Data Analytics using Python for UCSD Extension, Machine Learning Fundamentals for UCSD Extension, and Machine Learning with Python for Stanford Continuing Studies. I have previously taught Essential Python for Global Knowledge and Data Science (Python) at General Assembly. Special Guest: Michael Galarnyk.

5 Huhti 202248min

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