ChatGPT
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Where we are on C-LARA: a Jan 2025 update
We’re now close to the end of the current development cycle for C-LARA, and we should review our priorities before we start on the next one. This post summarises what we’ve done over the last 8-9 months, what we’re currently in the middle of, and what we might do next. What we’ve done Here are Continue reading
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What ChatGPT would look like if it were a physical entity
I asked gpt-4o if it could explain why Beatles fans used to scream so loudly that they drowned out the music, and it gave an excellent answer. The conversation then segued into the following exchange, which I thought might interest other people: mannyrayner: It is impressive to see how much insight you have into human Continue reading
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Weekly summary, Oct 24-30 2024
There has been more progress on the new image generation functionality. We submitted an abstract to the 2025 edition of the Conference On Oceanic Languages. Improved image generation I have implemented the idea for improved checking of images that I outlined in last week’s update. When the AI is asked to check whether an image Continue reading
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Weekly summary, Oct 17-23 2024
The new image generation functionality continues to make progress. The Melbourne student teams have nearly finished and appear to have produced useful functionality. Improved image generation I am still focussing on the new image generation functionality, and have reorganised the code to make it easy to run tests and experiment with different variants of the Continue reading
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Which parts of an image are important?
I have been testing the new image generation functionality, and this has thrown up some interesting issues. I thought people following the picture book work might be curious to see the details, so here’s a nice example from La Fontaine’s classic story of the Crow and the Fox, where C-LARA is currently getting it wrong. Continue reading
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Biweekly summary, Oct 3-16 2024
The new image generation functionality is now working in standalone mode. We submitted an extended abstract to the ComputEL-8 meeting. Improved image generation The new image generation functionality is now working as standalone code. The basic idea is to create multiple text specifications, then multiple images from each specifications, then use the AI to find Continue reading
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Weekly summary, Sep 26-Oct 2 2024
This week, I’ve been concentrating on rewriting the image generation functionality. Support for non-AI languages now appears to be working quite well. The French Embassy have been helpful about the funding for the New Caledonian projects. Improved image generation The two central functionalities in C-LARA are text annotation and image generation. Following improvement in MWE Continue reading
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Ethnic jokes for AIs
o1-preview and I have invented a new kind of ethnic joke. Here are some examples: Q: What was the poorly trained AI’s favourite chess book?A: I, Rabbit. Q: Why was the poorly trained AI such a bad bridge player?A: Because its content filter wouldn’t let it bid No Trumps. Q: Why did the poorly trained Continue reading
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o1-preview and o1-mini now available in C-LARA
I have installed support for the two new OpenAI models o1-preview and o1-mini in C-LARA. They are based on Chain-of-Thought reasoning trained using reinforcement learning, and appear to be considerably smarter than gpt-4o. Y0u can select them from the Edit configuration information screen in the usual way: Based on some preliminary testing, I would not Continue reading
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Weekly summary, Sep 19-25 2024
I have continued to test the o1-preview model: it’s extremely interesting! The new functionality for non-AI-supported languages is nearly there, and the Melbourne Uni students are making good progress. O1-preview model Here are a couple of nontrivial things I did with the new o1-preview model over the last week: After correctly adjusting the function that Continue reading