Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
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98: Helping computers decode sentences - Interview with Emily M. Bender
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Manage episode 451361525 series 1325543
Content provided by Lingthusiasm, Gretchen McCulloch, and Lauren Gawne. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lingthusiasm, Gretchen McCulloch, and Lauren Gawne or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
When a human learns a new word, we're learning to attach that word to a set of concepts in the real world. When a computer "learns" a new word, it is creating some associations between that word and other words it has seen before, which can sometimes give it the appearance of understanding, but it doesn't have that real-world grounding, which can sometimes lead to spectacular failures: hilariously implausible from a human perspective, just as plausible from the computer's. In this episode, your host Lauren Gawne gets enthusiastic about how computers process language with Dr. Emily M. Bender, who is a linguistics professor at the University of Washington, USA, and cohost of the podcast Mystery AI Hype Theater 3000. We talk about Emily's work trying to formulate a list of rules that a computer can use to generate grammatical sentences in a language, the differences between that and training a computer to generate sentences using the statistical likelihood of what comes next based on all the other sentences, and the further differences between both those things and how humans map language onto the real world. We also talk about paying attention to communities not just data, the labour practices behind large language models, and how Emily's persistent questions led to the creation of the Bender Rule (always state the language you're working on, even if it's English). Click here for a link to this episode in your podcast player of choice: episodes.fm/1186056137/episode/dGFnOnNvdW5kY2xvdWQsMjAxMDp0cmFja3MvMTk2NDIxOTY5OQ Read the transcript here: lingthusiasm.com/post/767803835730231296/transcript-episode-98 Announcements: The 2024 Lingthusiasm Listener Survey is here! It’s a mix of questions about who you are as our listener, as well as some fun linguistics experiments for you to participate in. If you have taken the survey in previous years, there are new questions, so you can participate again this year. Take the survey here: bit.ly/lingthusiasmsurvey24 In this month’s bonus episode we get enthusiastic about three places where we can learn things about linguistics!! We talk about two linguistically interesting museums that Gretchen recently visited: the Estonian National Museum, as well as Mundolingua, a general linguistics museum in Paris. We also talk about Lauren's dream linguistics travel destination: Martha's Vineyard. Join us on Patreon now to get access to this and 90+ other bonus episodes. You’ll also get access to the Lingthusiasm Discord server where you can chat with other language nerds. Sign up here: patreon.com/posts/115117867 Also, Patreon now has gift memberships! If you'd like to get a gift subscription to Lingthusiasm bonus episodes for someone you know, or if you want to suggest them as a gift for yourself, here's how to gift a membership: patreon.com/lingthusiasm/gift For links to things mentioned in this episode: lingthusiasm.com/post/767803572750581760/lingthusiasm-episode-98-helping-computers-decode
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103 episodes
98: Helping computers decode sentences - Interview with Emily M. Bender
Lingthusiasm - A podcast that's enthusiastic about linguistics
MP3•Episode home
Manage episode 451361525 series 1325543
Content provided by Lingthusiasm, Gretchen McCulloch, and Lauren Gawne. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lingthusiasm, Gretchen McCulloch, and Lauren Gawne or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
When a human learns a new word, we're learning to attach that word to a set of concepts in the real world. When a computer "learns" a new word, it is creating some associations between that word and other words it has seen before, which can sometimes give it the appearance of understanding, but it doesn't have that real-world grounding, which can sometimes lead to spectacular failures: hilariously implausible from a human perspective, just as plausible from the computer's. In this episode, your host Lauren Gawne gets enthusiastic about how computers process language with Dr. Emily M. Bender, who is a linguistics professor at the University of Washington, USA, and cohost of the podcast Mystery AI Hype Theater 3000. We talk about Emily's work trying to formulate a list of rules that a computer can use to generate grammatical sentences in a language, the differences between that and training a computer to generate sentences using the statistical likelihood of what comes next based on all the other sentences, and the further differences between both those things and how humans map language onto the real world. We also talk about paying attention to communities not just data, the labour practices behind large language models, and how Emily's persistent questions led to the creation of the Bender Rule (always state the language you're working on, even if it's English). Click here for a link to this episode in your podcast player of choice: episodes.fm/1186056137/episode/dGFnOnNvdW5kY2xvdWQsMjAxMDp0cmFja3MvMTk2NDIxOTY5OQ Read the transcript here: lingthusiasm.com/post/767803835730231296/transcript-episode-98 Announcements: The 2024 Lingthusiasm Listener Survey is here! It’s a mix of questions about who you are as our listener, as well as some fun linguistics experiments for you to participate in. If you have taken the survey in previous years, there are new questions, so you can participate again this year. Take the survey here: bit.ly/lingthusiasmsurvey24 In this month’s bonus episode we get enthusiastic about three places where we can learn things about linguistics!! We talk about two linguistically interesting museums that Gretchen recently visited: the Estonian National Museum, as well as Mundolingua, a general linguistics museum in Paris. We also talk about Lauren's dream linguistics travel destination: Martha's Vineyard. Join us on Patreon now to get access to this and 90+ other bonus episodes. You’ll also get access to the Lingthusiasm Discord server where you can chat with other language nerds. Sign up here: patreon.com/posts/115117867 Also, Patreon now has gift memberships! If you'd like to get a gift subscription to Lingthusiasm bonus episodes for someone you know, or if you want to suggest them as a gift for yourself, here's how to gift a membership: patreon.com/lingthusiasm/gift For links to things mentioned in this episode: lingthusiasm.com/post/767803572750581760/lingthusiasm-episode-98-helping-computers-decode
…
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103 episodes
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