Jeffrey P. Bigham

model capability jaggedness is part of the unintuitiveness of current AI, but it's made even less intuitive by tirelessness… wigguming through the jaggedness toward something that looks like success. not quite a paperclip factory, but not so far off. metaphor for life? openai.…

openai.com

usually a fan of Zeynep's accounts, but AI will get better and better at customer service until it's at least as good as humans, … a big part of that will be systems engineering, including architectures that enable one AI interaction to share with the next www.nytimes.com/2026…

Opinion | Why A.I. Won’t Steal All Our Jobs - The New York Times nytimes.com

Apple announced a number of great new accessibility features today (better image description and q&a in voiceover, much more natural language voice control, and AI updates to accessibility reader) -- proud to have been part of delivering many of them! www.apple.com/newsroom/20…

Apple unveils new accessibility features, and updates with Apple Intelligence - Apple apple.com

it's not like Mercor is the first to do this, but interesting that AI companies hiring experts is (finally) getting attention :: www.nytimes.com/2026/07/10/b...

nytimes.com

anthropic has made some amazing products; they are also high on their own supply www.wired.com/story/anthro...

Anthropic Thinks Its Own Success Is Key to Making AI Safe wired.com

good to see this focus on asking clarifying from claude, lots of interesting questions about how to manage human agency while benefiting from automation -- choices is a direction we've been pursuing, e.g., in Morae and CowPilot -- www.cs.cmu.edu/~jbigham/pub... aclanthology.or…

cs.cmu.edu

good to see this focus on asking clarifying from claude, lots of interesting questions about how to manage human agency while benefiting from automation -- choices is a direction we've been pursuing, e.g., in Morae and CowPilot -- www.cs.cmu.edu/~jbigham/pub... aclanthology.or…

CowPilot: A Framework for Autonomous and Human-Agent Collaborative Web Navigation aclanthology.org

if you were wondering what is too unsafe to ship, the proposed threshold is 50 human lives -- techcrunch.com/2026/10/20/a...

Anthropic pitches AI safety bill that may block a model if 50+ people could be killed | TechCrunch techcrunch.com

<university party in 2029> a: hey, so what do you do? b: i'm a slop separator, math division www.theverge.com/ai-artificia...

‘Pure insanity’: Mathematicians will need years to make sense of OpenAI’s latest drop theverge.com

so, now we know what Dario, Elon, and Donald Trump think about AI … really waiting for Zuck to weigh in. maybe also Joe Rogan. then, having done my research, i'll form an opinion. www.reuters.com/world/europe...

reuters.com

smell ya' later mechanical turk www.cnbc.com/amp/2026/08/...

Amazon service Bezos once called 'artificial artificial intelligence' is shutting down cnbc.com

near where i grew up, somebody set a reminder to check back in 2046 --> "OpenAI agreed to a 20-year lease for the site, which will provide it eight gigawatts of computing capacity, or enough electricity to power about six million households in the United States." www.nytimes.c…

nytimes.com

AI reviews are especially annoying because they are great at raising issues that appear to be legitimate to overworked associate editors, but which are in fact nonsense.

using AI today feels like those $3 uber rides in 2015

a lot of young folks are contacting me wanting to work on "human-AI alignment" and i think they just mean HCI, and the messaging battle has been lost.

as AI makes computing easier (and harder), people remain the hardest problem in computer science.

remember when github copilot was amazing, then became less so, as it drastically reduced server calls to save costs?… seems to be happening with claude code, many more brittle python regex's rather than model calls. amazingly(!) doesn't ask me to choose between better/worse, when one is more money

i was not a big AI writing hater, but some of these papers i'm reviewing are incomprehensible slop.

with more than 50,000 abstracts submitted to ICLR last week, can’t decide if that’s evidence ML research is stronger than ever or evidence that it’s dead

in response to the flood of nonsense papers, too much of reviewing has become, "gotcha!", you used AI or you messed up a rule, desk reject. boom. science.

as confusing and chaotic as AI is right now, we'll be looking back at right now as the best days. the AI companies are competing for users, it's easy to access and mostly it's getting better. i can look up advice on products and it's mostly legit. when will the enshittification start?? :(

wouldn't it be neat to see where your AI computations happened, how many computers it involved, maybe even amount of power used … i imagine that information is harder than I might think to have access to real-time, but wouldn't it be cool?