I think Muse Spark came in far better than most were expecting as the first new model attempt from Meta, especially given the fact that it has been a year since Llama 4 with no models at all (and that Llama 4 was generally considered a dead end).
@emollick
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Gemini worse than Bard; Sydney’s anthropomorphism sin and personality lesson
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From this perspective, Gemini is also worse than the original Bard. Sydney was the original sin of LLMs anthropormism, but also got the idea that AIs can sometimes be better with personalities right. Even if that personality was unhinged.
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Suggestion for OpenAI to name models like Claude
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OpenAI should probably bite the bullet and just name their next set of models something more human sounding. Everyone anthropomorphizes their AIs anyway, and "Claude" is an easier name to refer to than ChatGPT. Also easier to make a gerund, "Clauding," or adjective, "Claudy-y."
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Rising premium on outlier ideas as AI reduces execution cost
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Really interesting ideas are going to be increasingly at a premium as the cost of executing those ideas drops. (Our research and others shows AI is quite good at generating interesting ideas, but not nearly as good at generating outlier really interesting ideas)
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LLM style fixable with understanding of defaults
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I am not just talking about the em-dashes and phrasing ("doing the heavy lifting"). Those are more fixable than style, which will always default to an LLM-normal even if that normal changes with new LLMs. You can make LLMs write differently, but you need to understand what to do.
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AI writing monotony shifts focus from logic to style
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A lot of our education on writing well focuses on logic, clarity, and argument. AI will force us to think more about style. The boredom that comes from everything on the internet reading Claude-y now, no matter how good the substance is, should make us appreciate variety more.
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AI fact checks rated more helpful and less ideological than human ones
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Neat experiment finds AI fact checks are rated as more helpful & less ideological than human ones "LLM-generated Community Notes can achieve broader cross-ideological acceptance than human-written notes, receiving more positive ratings from raters across the political spectrum"
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New research on game industry AI adaptation from 20 studios
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Our Lab just posted a new research report from Zimran Ahmed about how the game industry is adapting to AI. He spoke to people at 20 different studios and found a wide range of approaches to adapt (or failures to adapt) to AI at the organizational level. https://
gail.wharton.upenn.edu/research-and-i
nsights/beyond-copy-paste/
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Accelerating pace of model releases and enterprise products outpaces market absorption
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The pace at which useful things are shipping also seems to be accelerating. Model releases are coming faster, of course, but so are significant application and enterprise products (especially from Anthropic). Almost certainly faster than the market can track or absorb information
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Three reasons AI’s jagged intelligence is harder than human jaggedness
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Things that make the jagged intelligence of AI harder to deal with than the jaggedness of humans:
1) Weaknesses are not always intuitive or identifiable in advanced
2) All LLMs have similar weaknesses, so you can't just hire a different one
3) Jagged frontier is moving outward