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Researcher with public evidence across AI research, Compute & infrastructure.
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…
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…
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...
anthropic has made some amazing products; they are also high on their own supply www.wired.com/story/anthro...
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…
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…
wild a $250Billion data center is being planned for tiny Piketon, OH -- this is near'ish my parents' place, ran a 5k there some summers, $250B could probably buy the whole place, wonder how much of that money they'll see, wonder how much it'll spike electricity prices -- qz.co…
a lot about the new AI era is wild … including, OpenAI basically lets a system loose to hack HuggingFace, AND IT DOES, and everyone's like "wow, OpenAI is so great", not "hey, why is OpenAI hacking HuggingFace?" www.livescience.com/technology/a...
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.
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?
there are far too many "AI" conferences being started.
I think about appropriate AI assistance in writing based on what human workflows are supported. from that way of thinking, it's surprising to me that NeurIPS used Pangram to reject papers that were "AI generated" b/c of the legit use cases it rejects -- consider bullet points to paragraph, e.g.,
an underappreciated thing is that AI-written (or deeply rewritten) text is better than most people's actual writing. not everyone, and mostly because most people aren't that good at writing. and, my sense is this is worsening as people are being trained to like the AI writing more and more.
Center = Jeffrey P. Bigham. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.