Not only is OpenAI's new o3 model allegedly breaking records for how close an LLM can get to the mythical "human-like thinking" of AGI, but Sam Altman has some, uh, reflections for us as he marks two years since the official launch of ChatGPT. Emily and Alex kick off the new year unraveling these truly fantastical stor... more
It’s been a long year in the AI hype mines. And no matter how many claims Emily and Alex debunk, there's always a backlog of Fresh AI Hell. This week, another whirlwind attempt to clear it, with plenty of palate cleansers along the way.Fresh AI Hell:Part I: EducationMedical residency assignments"AI generated" UCLA cour... more
Once upon a time, artificial general intelligence was the only business plan OpenAI seemed to have. Tech journalist Brian Merchant joins Emily and Alex for a time warp to the beginning of the current wave of AI hype, nearly a decade ago. And it sure seemed like Elon Musk, Sam Altman, and company were luring investor do... more
From Bill Gates to Mark Zuckerberg, billionaires with no education expertise keep using their big names and big dollars to hype LLMs for classrooms. Promising ‘comprehensive AI tutors', or just ‘educator-informed’ tools to address understaffed classrooms, this hype is just another round of Silicon Valley pointing to re... more
The company behind ChatGPT is back with bombastic claim that their new o1 model is capable of so-called "complex reasoning." Ever-faithful, Alex and Emily tear it apart. Plus the flaws in a tech publication's new 'AI hype index,' and some palette-cleansing new regulation against data-scraping worker surveillance.Refere... more
Technology journalist Paris Marx joins Alex and Emily for a conversation about the environmental harms of the giant data centers and other water- and energy-hungry infrastructure at the heart of LLMs and other generative tools like ChatGPT -- and why the hand-wavy assurances of CEOs that 'AI will fix global warming' ar... more
Can “AI” do your science for you? Should it be your co-author? Or, as one company asks, boldly and breathlessly, “Can we automate the entire process of research itself?”Major scientific journals have banned the use of tools like ChatGPT in the writing of research papers. But people keep trying to make “AI Scientists” a... more
Did your summer feel like an unending barrage of terrible ideas for how to use “AI”? You’re not alone. It's time for Emily and Alex to clear out the poison, purge some backlog, and take another journey through AI hell -- from surveillance of emotions, to continued hype in education and art.Fresh AI Hell:Synthetic data ... more
Dr. Clara Berridge joins Alex and Emily to talk about the many 'uses' for generative AI in elder care -- from "companionship," to "coaching" like medication reminders and other encouragements toward healthier (and, for insurers, cost-saving) behavior. But these technologies also come with questionable data practices an... more
The Washington Post is going all in on AI -- surely this won't be a repeat of any past, disastrous newsroom pivots! 404 Media journalist Samantha Cole joins to talk journalism, LLMs, and why synthetic text is the antithesis of good reporting.References:The Washington Post Tells Staff It’s Pivoting to AI: "AI everywhere... more
Could this meeting have been an e-mail that you didn't even have to read? Emily and Alex are tearing into the lofty ambitions of Zoom CEO Eric Yuan, who claims the future is a LLM-powered 'digital twin' that can attend meetings in your stead, make decisions for you, and even be tuned to different parameters with just t... more
We regret to report that companies are still trying to make generative AI that can 'transform' healthcare -- but without investing in the wellbeing of healthcare workers or other aspects of actual patient care. Registered nurse and nursing care advocate Michelle Mahon joins Emily and Alex to explain why generative AI f... more
When is a research paper not a research paper? When a big tech company uses a preprint server as a means to dodge peer review -- in this case, of their wild speculations on the 'dangerous capabilities' of large language models. Ali Alkhatib joins Emily to explain why a recent Google DeepMind document about the hunt for... more
You've already heard about the rock-prescribing, glue pizza-suggesting hazards of Google's AI overviews. But the problems with the internet's most-used search engine go way back. UCLA scholar and "Algorithms of Oppression" author Safiya Noble joins Alex and Emily in a conversation about how Google has long been breakin... more
The politicians are at it again: Senate Majority Leader Chuck Schumer's series of industry-centric forums last year have birthed a "roadmap" for future legislation. Emily and Alex take a deep dive on this report, and conclude that the time spent writing it could have instead been spent...making useful laws.References:D... more
Will the LLMs somehow become so advanced that they learn to lie to us in order to achieve their own ends? It's the stuff of science fiction, and in science fiction these claims should remain. Emily and guest host Margaret Mitchell, machine learning researcher and chief ethics scientist at HuggingFace, break down why 'A... more
AI Hell froze over this winter and now a flood of meltwater threatens to drown Alex and Emily. Armed with raincoats and a hastily-written sea shanty*, they tour the realms, from spills of synthetic information, to the special corner reserved for ShotSpotter.**Lyrics & video on Peertube.*Surveillance:*Public kiosks slur... more
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... more
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 tha... more
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 ... more
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 tex... more
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 inte... more
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 Fi... more
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 f... more
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 ... more