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Frame from USENIX Security '18-Q: Why Do Keynote Speakers Keep Suggesting That Improving Security Is Possible? Plays via YouTube's privacy-enhanced embed

USENIX Security '18-Q: Why Do Keynote Speakers Keep Suggesting That Improving Security Is Possible?

4 videos recommended on HN
YouTube
10 HN users recommended this talk10 months2018–2026 score 12
Years with an HN recommendation, 2007–2026

HN considers it a classic, hilarious and sobering talk on ML inscrutability and tech hubris, often rewatched.

James Mickens's humorous USENIX Security keynote argues that improving security and trusting opaque technology like machine learning is far harder than the industry admits.

“His keynote at USENIX Security 2018 is by far the best summation of the dangers of ML that I've ever seen.” (HN, 2019)

4 strong recommendations · 6 recommendations · 8 citations · 2 jokes · Talks

20 Hacker News comments

From the HN archive; up to 20 kept per video, favoring different commenters. Recommendations first.

@_wldu Oct 2019 Strongly recommends
on HN thread James Mickens’ Tenure Announcement
I've always been a fan of his talks. His keynote at USENIX Security 2018 is by far the best summation of the dangers of ML that I've ever seen. It's hilarious too. [this video]
Hilarious summation of the dangers of ML
@jamesblonde Jan 2024 Strongly recommends
on HN thread Ask HN: What talks do you consider real gems?
Nearly all talks by James Mickens are a laugh a minute. The guy is the only computer science standup comedian I have ever encountered. He is also technically excellent. This one is a classic: [this video]
Classic funny and technically excellent talk
@tomxor Jul 2024 Strongly recommends
on HN thread Explainability is not a game
> ML models is most often inscrutable, with the consequence that decisions taken by ML models cannot be fathomed by human decision makers Yup, James Mickens planted this seed 6 years ago, well worth the watch, even if you already agree it's brilliant cathartic humour (the subject isn't really "security"). [this video]
Brilliant cathartic humor about inscrutable ML
@vizzier Jan 2026 Strongly recommends
on HN thread Was Vibe Coding a Ruse?
James Micken's talk from almost a decade ago now covers this stuff perfectly... [this video] I re-watch it fairly often, and we just keep getting worse.
Decade-old talk still applies to current tech trends
@tempodox Oct 2018 Recommends
on HN thread Google Home (in)Security
You might be interested in this keynote by James Mickens: [this video] titled “Why Do Keynote Speakers Keep Suggesting That Improving Security Is Possible?”.
James Mickens humorous security keynote
@w8rbt Aug 2019 Recommends
on HN thread How to Start with Machine Learning
I think James Mickens (Harvard CS) has it right. ML is inscrutable, black-magic that no one really understands. This is long, but worth watching: [this video]
Long talk arguing ML is inscrutable black magic
@specialist Jun 2020 Recommends
on HN thread Police have been spying on black reporters and activists for years
"What matters now is impact, not intent." James Mickens, using logic and humor, makes this point in a way that even geeks might understand. "Why Do Keynote Speakers Keep Suggesting That Improving Security Is Possible?" [this video]
Humorous, logical argument that impact matters more than intent
@hallway_monitor Apr 2022 Recommends
on HN thread Planting Undetectable Backdoors in Machine Learning Models
I believe this talk [0] by James Mickens is very applicable. He touches on trusting neural nets with decisions that have real-world consequences. It is insightful and hilarious but also terrifying. [this video] "Why do keynote speakers keep suggesting that improving security is possible?"
Insightful, funny talk on trusting neural nets with real decisions

Citations, criticism and jokes

@sunyataishere Sep 2018 Cites it
on HN thread Ask HN: Do you know who this person is?
Wow... this was worth the watch - thank you! awesome lol at [this video] (tldr - feeding gratuitously racist input to ML twitter bot 'TayTweets'
Funny keynote including the TayTweets racist bot example
@perfmode Jan 2019 Cites it
on HN thread Opinion: A.I. Could Worsen Health Disparities
Read more
James Mickens on this topic: [this video] > Some people enter the technology industry to build newer, more exciting kinds of technology as quickly as possible. My keynote will savage these people and will burn important professional bridges, likely forcing me to join a monastery or another penance-focused organization. In my keynote, I will explain why the proliferation of ubiquitous technology is good in the same sense that ubiquitous Venus weather would be good, i.e., not good at all. > Using case studies involving machine learning and other hastily-executed figments of Silicon Valley’s imagination, I will explain why computer security (and larger notions of ethical computing) are difficult to achieve if developers insist on literally not questioning anything that they do since even brief introspection would reduce the frequency of git commits. At some point, my microphone will be cut off, possibly by hotel management, but possibly by myself, because microphones are technology and we need to reclaim the stark purity that emerges from amplifying our voices using rams’ horns and sheets of papyrus rolled into cone shapes. I will explain why papyrus cones are not vulnerable to buffer overflow attacks, and then I will conclude by observing that my new start-up papyr.us is looking for talented full-stack developers who are comfortable executing computational tasks on an abacus or several nearby sticks.
Mickens' talk abstract on questioning technology
@bitwize Jan 2023 Cites it
on HN thread Just know stuff. (Or, how to achieve success in a machine learning PhD)
"The stuff is what the stuff is, brother." --from a James Mickens talk on machine learning, [this video] Can confirm, the way ML is used in many businesses is like an egg drop: You open up Jupyter, load in some data, and play around with various models until you find one that fits the data, then use it to try to predict future data. If the future results comport with the model, congratulations: your egg is safe, at least for drops of that height.
Source of a funny line about ML practice
@thesuperbigfrog Feb 2023 Cites it
on HN thread Microsoft Adds ChatGPT AI Technology to Bing Search Engine
>> internal people probably won't ask it as awful things or try as hard to break it - I doubt my coworkers would risk asking it super racist things for example. >> 4chan has no such restrictions, and over time what escapes or issues people do find can be mitigated. Hopefully better than previous attempts to put AI on the Internet: [this video]
Segment on earlier AI put on the internet
@dralley Feb 2023 Cites it
on HN thread AI Companion Users Are in Crisis, Reporting Sudden Sexual Rejection
Read more
"Here's the pool of socially well connected people talking to each other, and here's the pool of lonely people that basically talk to nobody. Now, we could create new network edges between the lonely and non-lonely people, so that both groups of people can expand their social network and share their rich sets of deeply personal experiences with each other. But clearly, a much better solution is to direct all that lonely energy to synthetic personalities running on data center VMs. So the people who are happy can continue to be happy, and the people who are lonely can shout into availability zones on the West Coast and Northern Europe. This is clearly the humanist solution." [this video]
Mickens' satirical take on synthetic companions for lonely people
@southerntofu Jul 2023 Cites it
on HN thread Hugging Face, GitHub and more unite to defend open source in EU AI legislation
Read more
> If it doesn't work as I expect it so it should be banned. Well yes that's a very reasonable expectation. In most fields, when you sell something that doesn't work, it's called fraud. But in fields where it actually matter for safety, regulations are most stringent, such as in mechanics or medicine. If a car had 1% chance of blowing up killing everyone inside, would it be legal to sell it? Why is it ok for OpenAI to sell a chatbot that has 1% chance to convince you of utter bullshit when you ask it a serious question? I believe education and communication to be critical to society's wellbeing, so i would hold companies in this field to greater standards. > Also NLP can be used to protect vulnerable groups from online abuse. Automated filters do not understand sarcasm, quotation, criticism... Sure that avoids the scunthorpe problem, but for example, auto-moderation bots trying to prevent racist abuse often censor black people calling one another the n word, which is completely ok. Nothing can replace moderation. > It helps people find related content (which they enjoy). Maybe, but i doubt it. I've yet to see advertisement/recommendations for content i actually enjoy, or to meet people who have such experiences. I've only ever heard that from advertisers, but maybe you have better experience than i do? > Don't blame technology for the bad actions of companies. Their intentions would have corrupted whatever technology is available. Good point! But technology that makes it easie
Linked in a long argument about AI regulation
@norir Dec 2023 Cites it
on HN thread The Inside Story of Microsoft's Partnership with OpenAI
Reading this article, I kept think about James Micken's 2018 usenix security talk [this video] . He warns quite effectively against widely deploying technology that we don't understand. Kevin Scott, on the other hand, seems to have exactly the opposite take. I suppose there is a reason though why one of them is a successful businessman and the other is an academic.
Warns against deploying technology we do not understand
@a1369209993 Jun 2020 Makes a joke
on HN thread An understanding of AI’s limitations is starting to sink in
> the possible MNIST digits are 0-9 Except - and this rather ties into your point - those are not the only possible digits; your network also has to deal with (ie reject) other possible digits such as "P", "E", "3̸̶", or "[Forlorn Sigil of Amon-Gül redacted]"[0], which look like, but are not, decimal digits. 0: [this video]

Video list and Hacker News comment labels from HackerTube (prompted by @karpathy), released under ODC-By 1.0, built on the open-index/hacker-news archive. Hacker News data is provided by Y Combinator; comments remain the work of their authors. Video titles, channel names and thumbnails belong to their creators and are shown via YouTube. HackerTube Watch is an unofficial edition. Data export of 2026-10-31.

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