Wednesday, December 4

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What problems have you used to stump the top chat bots? They seem unable to solve this train riddle.
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What problems have you used to stump the top chat bots? They seem unable to solve this train riddle.

Here is ChatGPT's second attempt, for example: Step 1: Train A splits Train A moves 40 cars and its locomotive into the siding, leaving the other 40 cars on the main track. Train A's locomotive remains attached to the 40 cars in the siding. Step 2: Train B moves Train B (intact with all 80 cars) proceeds along the main track and passes the 40 cars of Train A still on the main track. Train B stops beyond the siding, leaving space for Train A to maneuver. Step 3: Train A’s siding cars return to the main track Train A’s locomotive pulls its 40 cars out of the siding and rejoins them with its other 40 cars left on the main track. Now both trains are on their way again, having successfully passed each other. This method uses the siding's limited capacity effectively. Does this a...
One-Minute Daily AI News 11/29/2024
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One-Minute Daily AI News 11/29/2024

Study of ChatGPT citations makes dismal reading for publishers.[1] Study shows 88% of Gen Z uses AI at work.[2] Google DeepMind Research Unlocks the Potential of LLM Embeddings for Advanced Regression.[3] ControlNets for Stable Diffusion 3.5 Large, Blur, Canny, and Depth.[4] Sources: [1] https://techcrunch.com/2024/11/29/study-of-chatgpt-citations-makes-dismal-reading-for-publishers/ [2] https://www.foxnews.com/video/6365334892112 [3] https://www.marktechpost.com/2024/11/28/google-deepmind-research-unlocks-the-potential-of-llm-embeddings-for-advanced-regression/?amp [4] https://stability.ai/news/sd3-5-large-controlnets submitted by /u/Excellent-Target-847 [link] [comments]
One-Minute Daily AI News 11/29/2024
News Feed, Reddit

One-Minute Daily AI News 11/29/2024

Study of ChatGPT citations makes dismal reading for publishers.[1] Study shows 88% of Gen Z uses AI at work.[2] Google DeepMind Research Unlocks the Potential of LLM Embeddings for Advanced Regression.[3] ControlNets for Stable Diffusion 3.5 Large, Blur, Canny, and Depth.[4] Sources: [1] https://techcrunch.com/2024/11/29/study-of-chatgpt-citations-makes-dismal-reading-for-publishers/ [2] https://www.foxnews.com/video/6365334892112 [3] https://www.marktechpost.com/2024/11/28/google-deepmind-research-unlocks-the-potential-of-llm-embeddings-for-advanced-regression/?amp [4] https://stability.ai/news/sd3-5-large-controlnets submitted by /u/Excellent-Target-847 [link] [comments]
New architecture scaling
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New architecture scaling

The new Alibaba QwQ 32B is exceptional for its size and is pretty much SOTA in terms of benchmarks, we had deepseek r1 lite a few days ago which should be 15B parameters if it's like the last DeepSeek Lite. It got me thinking what would happen if we had this architecture with the next generation of scaled up base models (GPT-5), after all the efficiency gains we've had since GPT-4's release(Yi-lightning was around GPT-4 level and the training only costed 3 million USD), it makes me wonder what would happen in the next few months along with the new inference scaling laws and test time training. What are your thoughts? submitted by /u/user0069420 [link] [comments]
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