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    Explore " genai" with insightful episodes like "Is GenAI the next dot-com bubble?", "If everyone is building AI, why aren't more projects in production?", "Inside Intuit's generative AI system, GenOS", "Agile works great...to a certain size" and "How long till we run out of fresh data to train the AI?" from podcasts like ""The Stack Overflow Podcast", "The Stack Overflow Podcast", "The Stack Overflow Podcast", "The Stack Overflow Podcast" and "The Stack Overflow Podcast"" and more!

    Episodes (5)

    Is GenAI the next dot-com bubble?

    Is GenAI the next dot-com bubble?

    Meta’s open-source Llama 3 model puts Meta’s AI assistant head-to-head with ChatGPT.

    Stability AI laid off 10% of its workforce, the first major AI foundation model to reduce its workforce since the advent of generative AI.

    Is the dot-com bubble a cautionary tale for AI enthusiasts? Listen to the episode of Marketplace from NPR.

    Do LLMs support Wittgenstein’s position that “meaning is use”? That depends whether you’re talking pre or post Tractatus, of course.

    TikTok wouldn’t lie to you: you really can make friends with your local crows. Eira’s proven method for befriending crows: Feed them dry cat food on a consistent schedule, so they learn you’re reliable, and watch them eat, so they grok that you are feeding them intentionally.

    Stack Overflow user Arman Ordookhani received a well-deserved Lifeboat badge for telling nearly 30,000 people How to free memory in go.

    Agile works great...to a certain size

    Agile works great...to a certain size

    The estate of the late comedian George Carlin is suing the creators of an hour-long AI-generated comedy special that mimics Carlin’s distinctive delivery and material. [Ed. note: not actually AI, still lawsuit.]

    Prefer your AI more Freudo-Marxist? Here’s a never-ending, AI-generated conversation between Werner Herzog and Slavoj Žižek. You’re welcome.

    Google’s Bard surpassed GPT-4 to claim the second spot on the LMSYS Chatbot Arena Leaderboard.

    Agile development is faltering at big companies, and a recent report cites developer burnout as a factor. But maybe the problem lies in companies’ (mis)understanding of agile.

    Shoutout to Stack Overflow user Emil Laine, who earned a Lifeboat badge with their answer to How can I include all of the C++ Standard Library at once?.

    How long till we run out of fresh data to train the AI?

    How long till we run out of fresh data to train the AI?

    Will AI fundamentally change software development or just add some efficiencies around the edges?  Surveys from Stack Overflow and Github find north of 70% have probably already tried using it and many incorporate it into their daily work through a helper in the IDE. 

    It's also worth reflecting a bit on the technology sectors that didn't have as great a 2023: crypto, VR, and quantum computing still seem far from mainstream adoption. 

    We dive a little into the half-life of skills, which seem to be shrinking, especially in IT. Got any resolutions to learn something new this year?

    And what about the data we use for training? We highlight a comment from Kian Katanforoosh, a lecturer who helped create Stanford's Deep Learning course with Andrew Ng, who says we'll run out of high quality data as soon as 2030.

    A big thanks and congrats to Stack Overflow user  Corn3lius for helping to answer a question and being awarded a life boat badge: How can I create spoiler text?