Also agree with this. AI's ability to do consistent pacing is a problem. Here, the poem anchors enough of the comic that it is okay, but static, though with a few good moments. But fiction writing and good pacing remain challenging:
@emollick
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GPT-ImageGen-2 Creates Comic from Tennyson’s Ulysses in One Shot
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GPT-ImageGen-2 did this in one shot, with just the prompt "turn all of Tennyson's Ulysses into a comic, across as many pages as needed. make it great, include the full text" 10 pages, though it did use what seems to be the ImageGen-2 's preferred "spackled drawing" style 1/
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AI Writing Style Analysis: Em-dash Usage and AI Model Identification
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(The funny thing is that anyone who actually is familiar with AI writing would know that the way I used em-dashes was very non-Claude-y)
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Humanities Education Cultivates Taste Crucial in Today’s Content-Flooded World
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An advantage of the humanities — of reading & seeing a wide range of great works from many perspectives & cultures — is that you develop your sense of taste. In a world where anyone can produce a flood of writing & visual output is for cheap, that has never been more important.
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Gut Microbiome Proteins Linked to Aging, Metabolic Diseases, and Medications
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Nearly perfect (if unnerving). This is first shot, and the only real issue is the double hour hand.
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New Cancer Interception Approach for Pancreatic Cancer
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Same prompts as before, but now in GPT image-generator 2, page excerpts from: "Eldritch Horrors as Pets: A Guide"
"How Womblenauts Work"
"Photographs of the People of New York Who Look Like Birds" "Cakes shaped like fish shaped like cakes" Lots of great little lines in there -

RFK Jr. seeks FDA approval for peptides without safety data, focusing on BPC-157
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LLMs are still not consistent judges of qualitative work, and small changes to how that work is presented affect outcomes. Better harnessing and methods (multiple judging runs with randomized orders, etc) would certainly help, but the jagged frontier is very much still real.
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Generative AI in Healthcare: New Tools and Future Trends
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I have been using GPT ImageGen-2 for the past weeks I didn't think that better image-generators would be a big deal but it turns out that there is a quality threshold I didn't expect, where you can now get text, slides, academic papers Look at what it does with my "otter test"!
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Innovative Reverse Translation Approach for Single-Molecule Protein Sequencing
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Anyhow, very impressive achievement, and a very solid model. Based on vibes, the gap seems around the same as it has always been between closed and open SoTA. But keeping up the pace is not easy.
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Nanoparticles achieve in vivo breakthrough in experimental model
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A useful ward against slop story/science posts on X is noting which is in the character limit. All of the models struggle to do 280 character summaries on their first pass, and most of the people creating slop posts that start with emojis don’t bother to prompt them better.