Claim OwnershipMystery AI Hype Theater 3000
Subscribed: 77Played: 744
Subscribe
© 2024 Mystery AI Hype Theater 3000
Description
Artificial Intelligence has too much hype. In this podcast, linguist Emily M. Bender and sociologist Alex Hanna break down the AI hype, separate fact from fiction, and science from bloviation. They're joined by special guests and talk about everything, from machine consciousness to science fiction, to political economy to art made by machines.
31 Episodes
Reverse
Will AI someday do all our scientific research for us? Not likely. Drs. Molly Crockett and Lisa Messeri join for a takedown of the hype of "self-driving labs" and why such misrepresentations also harm the humans who are vital to scientific research.Dr. Molly Crockett is an associate professor of psychology at Princeton University.Dr. Lisa Messeri is an associate professor of anthropology at Yale University, and author of the new book, In the Land of the Unreal: Virtual and Other Realities in ...
Dr. Timnit Gebru guest-hosts with Alex in a deep dive into Marc Andreessen's 2023 manifesto, which argues, loftily, in favor of maximizing the use of 'AI' in all possible spheres of life.Timnit Gebru is the founder and executive director of the Distributed Artificial Intelligence Research Institute (DAIR). Prior to that she was fired by Google, where she was serving as co-lead of the Ethical AI research team, in December 2020 for raising issues of discrimination in the workplace. Timnit also ...
Award-winning AI journalist Karen Hao joins Alex and Emily to talk about why LLMs can't possibly replace the work of reporters -- and why the hype is damaging to already-struggling and necessary publications.References:Adweek: Google Is Paying Publishers to Test an Unreleased Gen AI PlatformThe Quint: AI Invents Quote From Real Person in Article by Bihar News Site: A Wake-Up Call?Fresh AI Hell:Alliance for the FutureVentureBeat: Google researchers unveil ‘VLOGGER’, an AI that can bring still ...
Alex and Emily put on their social scientist hats and take on the churn of research papers suggesting that LLMs could be used to replace human labor in social science research -- or even human subjects. Why these writings are essentially calls to fabricate data.References:PNAS: ChatGPT outperforms crowd workers for text-annotation tasksBeware the Hype: ChatGPT Didn't Replace Human Data AnnotatorsChatGPT Can Replace the Underpaid Workers Who Train AI, Researchers SayPolitical Analysis: Out of ...
Science fiction authors and all-around tech thinkers Annalee Newitz and Charlie Jane Anders join this week to talk about Isaac Asimov's oft-cited and equally often misunderstood laws of robotics, as debuted in his short story collection, 'I, Robot.' Meanwhile, both global and US military institutions are declaring interest in 'ethical' frameworks for autonomous weaponry.Plus, in AI Hell, a ballsy scientific diagram heard 'round the world -- and a proposal for the end of books as we know it, f...
Just Tech Fellow Dr. Chris Gilliard aka "Hypervisible" joins Emily and Alex to talk about the wave of universities adopting AI-driven educational technologies, and the lack of protections they offer students in terms of data privacy or even emotional safety.References:Inside Higher Ed: Arizona State Joins ChatGPT in First Higher Ed PartnershipASU press release version: New Collaboration with OpenAI Charts theFuture of AI in Higher EducationMLive: Your Classmate Could Be an AI Student at this ...
Is ChatGPT really going to take your job? Emily and Alex unpack two hype-tastic papers that make implausible claims about the number of workforce tasks LLMs might make cheaper, faster or easier. And why bad methodology may still trick companies into trying to replace human workers with mathy-math.Visit us on PeerTube for the video of this conversation.References:OpenAI: GPTs are GPTsGoldman Sachs: The Potentially Large Effects of Artificial Intelligence on Economic GrowthFYI: Over the last 60...
New year, same Bullshit Mountain. Alex and Emily are joined by feminist technosolutionism critics Eleanor Drage and Kerry McInerney to tear down the ways AI is proposed as a solution to structural inequality, including racism, ableism, and sexism -- and why this hype can occlude the need for more meaningful changes in institutions.Dr. Eleanor Drage is a Senior Research Fellow at the Leverhulme Centre for the Future of Intelligence. Dr. Kerry McInerney is a Research Fellow at the Leverhulme Ce...
AI Hell has frozen over for a single hour. Alex and Emily visit all seven circles in a tour of the worst in bite-sized BS.References:Pentagon moving toward letting AI weapons autonomously kill humansNYC Mayor uses AI to make robocalls in languages he doesn’t speakUniversity of Michigan investing in OpenAITesla: claims of “full self-driving” are free speechLLMs may not "understand" output'Maths-ticated' dataLLMs can’t analyze an SEC filingHow GPT-4 can be used to create fake datasetsPaper than...
Congress spent 2023 busy with hearings to investigate the capabilities, risks and potential uses of large language models and other 'artificial intelligence' systems. Alex and Emily, plus journalist Justin Hendrix, talk about the limitations of these hearings, the alarmist fixation on so-called 'p(doom)' and overdue laws on data privacy.Justin Hendrix is editor of the Tech Policy Press.References:TPP tracker for the US Senate 'AI Insight Forum' hearingsBalancing Knowledge and Governance: Foun...
Researchers Sarah West and Andreas Liesenfeld join Alex and Emily to examine what software companies really mean when they say their work is 'open source,' and call for greater transparency.This episode was recorded on November 20, 2023.Dr. Sarah West is the managing director of the AI Now Institute. Her award-winning research and writing blends social science, policy, and historical methods to address the intersection of technology, labor, antitrust, and platform accountability. And she’s th...
Emily and Alex time travel back to a conference of men who gathered at Dartmouth College in the summer of 1956 to examine problems relating to computation and "thinking machines," an event commonly mythologized as the founding of the field of artificial intelligence. But our crack team of AI hype detectives is on the case with a close reading of the grant proposal that started it all.This episode was recorder on November 6, 2023. Watch the video version on PeerTube.References:"A Proposal for ...
Drs. Emma Strubell and Sasha Luccioni join Emily and Alex for an environment-focused hour of AI hype. How much carbon does a single use of ChatGPT emit? What about the water or energy consumption of manufacturing the graphics processing units that train various large language models? Why even catastrophic estimates from well-meaning researchers may not tell the full story.This episode was recorded on November 6, 2023.References:"The Carbon Footprint of Machine Learning Training Will Plateau, ...
Emily and Alex read through Google vice president Blaise Aguera y Arcas' recent proclamation that "artificial general intelligence is already here." Why this claim is a maze of hype and moving goalposts.References:Noema Magazine: "Artificial General Intelligence Is Already Here." "AI and the Everything in the Whole Wide World Benchmark" "Targeting the Benchmark: On Methodology and Current Natural Language Processing Research""Recoding Gender: Women's Changing Participation in Comput...
Emily and Alex are joined by Stanford PhD student Haley Lepp to examine the increasing hype around LLMs in education spaces - whether they're pitched as ways to reduce teacher workloads, increase accessibility, or simply "democratize learning and knowing" in the Global South. Plus a double dose of devaluating educator expertise and fatalism about the 'inevitability' of LLMs in the classroom.Haley Lepp is a Ph.D. student in the Stanford University Graduate School of Education. She draws on cri...
Alex and Emily are taking another stab at Google and other companies' aspirations to be part of the healthcare system - this time with the expertise of Stanford incoming assistant professor of dermatology and biomedical data science Roxana Daneshjou. A look at the gap between medical licensing examination questions and real life, and the inherently two-tiered system that might emerge if LLMs are brought into the diagnostic process.References:Google blog post describing Med-PaLMNature: Large l...
Emily and Alex tackle the White House hype about the 'voluntary commitments' of companies to limit the harms of their large language models: but only some large language models, and only some, over-hyped kinds of harms.Plus a full portion of Fresh Hell...and a little bit of good news.References:White House press release on voluntary commitmentsEmily’s blog post critiquing the “voluntary commitments”An “AI safety” infused take on regulationAI Causes Real Harm. Let’s Focus on That over the End-...
Emily and Alex are joined by technology scholar Dr. Lucy Suchman to scrutinize a new book from Henry Kissinger and coauthors Eric Schmidt and Daniel Huttenlocher that declares a new 'Age of AI,' with abundant hype about the capacity of large language models for warmaking. Plus close scrutiny of Palantir's debut of an artificial intelligence platform for combat, and why the company is promising more than the mathy-maths can provide.Dr. Lucy Suchman is a professor emerita of sociology at Lancas...
Emily and Alex talk to UC Berkeley scholar Hannah Zeavin about the case of the National Eating Disorders Association helpline, which tried to replace human volunteers with a chatbot--and why the datafication and automation of mental health services are an injustice that will disproportionately affect the already vulnerable.Content note: This is a conversation that touches on mental health, people in crisis, and exploitation.This episode was originally recorded on June 8, 2023. Watch the video...
Take a deep breath and join Alex and Emily in AI Hell itself, as they take down a month's worth of hype in a mere 60 minutes.This episode aired on Friday, May 5, 2023.Watch the video of this episode on PeerTube.References:Terrifying NEJM article on GPT-4 in medicine“Healthcare professionals preferred ChatGPT 79% of the time”Good thoughts from various experts in responseChatGPT supposedly reading dental x-raysChatbots “need” therapistsCEO proposes AI therapist, removes proposal upon realizing ...
Comments
Download from Google Play
Download from App Store
United States