The products that teams worked on at Buildathon: https://
github.com/AIFundTeam/bui
ldathon/blob/main/projects_aug_2025.md
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GENERATIVE AI
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Buildathon Projects: AI Products Built by Teams August 2025
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Developers Build AI-Powered Software Products in Hours
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On Saturday at the Buildathon hosted by AI Fund and http://
DeepLearning.AI, over 100 developers competed to build software products quickly using AI assisted coding. I was inspired to see developers build functional products in just 1-2 hours. The best practices for rapid -
Lucid Image Models Outperform MidJourney Says User
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The Lucid models are currently my favorite image models. They're so good. I prefer them to MidJourney.
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Impressive AI demo from gregisenberg channel worth exploring
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I haven't yet but I recently saw a demo on @gregisenberg
's channel that was really impressive. I need to play with it. -
DeepSeek-V3.1 Now Available on Poe Platform
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You can try DeepSeek-V3.1 at https://
poe.com/DeepSeek-V3.1, powered by @FireworksAI_HQ
. You can also use it as a base model for prompt bots and access it through the Poe API. (2/2) -
DeepSeek-V3.1 Launches with Hybrid Thinking Mode on Poe
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DeepSeek-V3.1 is now on Poe! This highly anticipated model builds on top of DeepSeek-V3 and DeepSeek-R1 to support hybrid thinking mode, smarter tool calling, and improved thinking efficiency. (1/2)
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ChatGPT Sounds More Mechanical in Comparison
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Really? I just compared both. ChatGPT sounds much more mechanic to me
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Open Models Power 70% of AI Inference Workloads
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𝗧echnology ecosystem and install base Open models power over 70% of AI Inference workloads. NVIDIA supports 1,000+ OSS projects and 450+ open models like Llama, Gemma, and GPT-OSS, and collaborates on frameworks like @GoogleDeepMind JAX, @PyTorch
, @lmsysorg (SGLang), -
Sesame TTS Outperforms Competitors in Quality and Speed
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I still can't explain why Sesame in TTS is so much better than all the competition: it sounds more natural, has less latency and is funnier.
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Qoder’s Quest Mode: AI-Assisted App Development Workflow
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Qoder has this interesting quest mode where you can brainstorm with the model to generate the app idea. Once you are aligned with the specs/idea you can put it on autonomous execution. The flow fundamentally seems more aligned with how real engineering works.