Jeffrey P. Bigham

Jeffrey P. Bigham

@jeffreybigham.com

Professor of HCII and LTI at Carnegie Mellon School of Computer Science. jeffreybigham.com

4.8K followers915 following1.4K posts

an AI bubble can still happen even if the AI industry is doing fine -- it seems lots of investors have gone wild, over-leveraging on AI-related bets that won't come out on top, even as the industry itself races ahead

I can’t imagine anyone at all would care if comcast went out of business — too many years of terrible service, predatory schemes to extract money from customers, etc

Greg Linden@glinden.bsky.social

Enshittification has long-term costs and eventually ruins your business. A near monopoly delays people leaving but, once they leave, they're impossibly costly to get back. Other companies earlier in this than Comcast would be wise to pay attention to Comcast's example before it's too late.

maddening, there are so many completely uncontroversial areas that we need to be investing in to maintain our leadership in science

Paul Guinnessy@paulguinnessy.bsky.social

So NSF underspent by $1 billion, the whole place has been in chaos for months (seen as a feature, not a bug), and now Acting Director Brian Stone and Acting Chief of Staff Rebecca Keiser are leaving (Stone 12/31, Keiser 10/31). #SciencePolicy #TrumpAdministration #NationalScienceFoundation

i was resistant to the idea of the AI bubble bursting, because there is obviously huge impact in AI. but, then i heard about how every rich person in the world is scrambling to throw money into AI, and it started to seem overextended. maybe not every bubble is tulip bulbs.

let's go carnegie tech!

Jeffrey P. Bigham@jeffreybigham.com

u.s. news now weights earnings after graduation more highly, and so MIT bests Princeton, and CMU rose 5 spots to #14 … obviously any metric is imperfect, maybe they should just publish a nice interactive visualization? more useful, would sell fewer magazines www.nytimes.com/2026/09/22/u...

u.s. news now weights earnings after graduation more highly, and so MIT bests Princeton, and CMU rose 5 spots to #14 … obviously any metric is imperfect, maybe they should just publish a nice interactive visualization? more useful, would sell fewer magazines www.nytimes.com/2026/09/22/u...

nytimes.comPrinceton Is No Longer No. 1 in the U.S. News RankingsThe Massachusetts Institute of Technology pulled ahead on a set of criteria that are as contentious as they are influential.

Jeffrey P. Bigham reposted

There are things I disagree with but there is good stuff to learn from taking the perspective of parts of the cybersecurity industry that rogue AI incidents may be best understood as security & organizational failures that let rogue behavior to turn into crisis. www.normaltech.ai/p/the-ai-as-...

normaltech.aiThe AI-as-Normal-Technology view of loss of control incidentsA middle ground between the cybersecurity and AI safety communities

Jeffrey P. Bigham reposted

EXCLUSIVE: Humans are reading ChatGPT users’ prompts to improve OpenAI’s models, and those chats can include sensitive, personal information, according to leaked internal documents and real prompts seen by 404 Media.

404media.coInside ‘Project Lily’: The Humans Reading Your ChatGPT ChatsHumans are reading ChatGPT users’ prompts to improve OpenAI’s models, and those chats can include sensitive, personal information, according to leaked internal documents and real prompts seen by 404 M...

AI might really be out of control right now, but it's no real surprise that nobody is listening to them say that it is -- remember when GPT2 was too dangerous to release?

in designing AI futures, i think we both under and over estimate how likely folks will be to just accept the AI's judgment on higher-level strategy things. i'm already seeing people just using claude's weird dark mode purple slide style, imagine that for all the things.

Jeffrey P. Bigham reposted

Imagine if you just gave mathematicians 22 million dollars

Trevor A. Branch@trevorabranch.bsky.social

Millennium math problem solved by OpenAI may have "regurgitated" competitors unpublished work... also they spent more than $22 million in computing power in one week to scoop them. techcrunch.com/2026/09/08/o...

came into work, forgot my running shorts, uber eats'ing a new pair from dicks sporting goods. three computers with agents going on long-term explorations with a goal, wiggum but actually pretty confident it'll work. and so i'm still skeeting.

the thing that will be wild about the anthropic and openai IPOs is that suddenly the politics of their employees will become front and center because they will have lots of money, like crypto but maybe 100x?

a hard part about having debates about appropriate use of AI is that people have dramatically different experiences with it … and those most against AI often have the least, so their specific arguments/examples don’t land

what kind of AI disaster would be enough to move the needle -- we have weirdly staged AIs hacking into other company's systems, AI's autonomously killing people in wars, steady escalation but nothing seems to have moved the needle. is that b/c we're confident or naive?