Most people, including really accomplished people, don't have an accurate mental model of how LLMs operate (and why would they?) You see this in wide beliefs that AI is just copying from known sources, or that it only produces average answers, or that it can't generate new ideas
@emollick
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Claude Code creates snake game where snake becomes self-aware
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Had Claude Code build a snake game where the snake becomes aware it is in the game and then… stuff happens. Some impressive creative decisions by the AI (& also some very AI ones), I just gave a first prompt and some feedback on the game as it went. https://
snake-awakening.netlify.app -
Kimi-K2.6 not frontier; oppose larger university IT control
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Kimi-K2.6 is not a frontier model & I don’t really think we need even bigger IT departments at universities making decisions over access.
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Compliant AI systems reduce risk for students and researchers
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Not to mention that having HIPAA and FERPA compliant AI systems makes thousands of students and researchers using them less risky.
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AI in education and research: good, bad, and here to stay
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There are good things and bad things about AI in education & research just like everywhere else, but it’s also true that it’s not going away and that AI increasingly is becoming part of the tool set available to research & teaching, as well as a subject for both study & learning
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U Chicago gets Claude, but many schools already have AI
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My timeline seems to have people surprised that U Chicago is getting Claude, but tons of schools (including U Penn where I teach) have school-wide AI There are lots of things that need to be figured out about AI & scholarship but safe & equitable access is a necessary foundation
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Microsoft AI technical write-up praised for rare detail and quality
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Kudos to the team on a really good technical write-up, though, which a lot of AI labs are no longer providing. https://
microsoft.ai/wp-content/upl
oads/2026/06/main_20260602_2.pdf
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MAI-Thinking-1 hard to evaluate, stats below Meta Spark
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It is difficult to know how good MAI-Thinking-1 is from the scores alone (like weirdly low GPQA & Terminal Bench 2.0) But Microsoft makes it really hard to try its models upon release (a general issue with many Microsoft AI products), so I dunno. Stats below Meta Spark, though.
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Humans as bottleneck for AI code quality checks
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Since a lot of comments ask about it, they cannot really say anything about code quality using their methods. In part, the reason humans are the bottleneck is because humans are doing some sort of quality check on output, acting as a needed complement to AI coding.
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AI writing similarity obvious when many respond to same prompt
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Another thing about AI writing is that while a single instance of AI writing on a topic may be fine, any situation where lots of people use AI to respond to a particular prompt (comments sections, homework, admissions essays) the similarities among responses is tediously obvious.