Fully agree that industrial use cases will require some combination of in-domain demos (and model-based / GOFE perception and control elements) for the foreseeable future.
TOOLS
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Using Codex to Automate PDF to Markdown Conversion
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ICYMI – on PDF, I've recently been having ton of fun w/ a PDF skill I made with Codex – It's quite good at reading PDFs and converting to markdown https://
github.com/openai/skills/
tree/main/skills/.curated/pdf
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User Learns English in 5 Weeks with ChatGPT Prompts, Outperforms Duolingo
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R.I.P. DUOLINGO. 3 ans à apprendre l’ANGLAIS. Rien n’a marché. ChatGPT l’a fait en 5 semaines. Voici les 6 prompts que j’ai utilisés: [ Ajoutez en signetpour ne pas perdre ! ]
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Run Top Image Model on Replicate Platform
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Run the #1 image model on Replicate! http://
replicate.com/sourceful/rive
rflow-2.0-pro
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Motion Sketch: Gen-4.5 Image to Video with Sketch Annotation
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Ever wish you could scribble a prompt instead of needing to write it?
— Runway (@runwayml) 3 février 2026
Now you can. With Motion Sketch, for Gen-4.5 Image to Video.
Upload your first frame image. Sketch and annotate what you want to happen. Then hit generate.
Try it today at the link below. pic.twitter.com/lfikEBEfBCEver wish you could scribble a prompt instead of needing to write it? Now you can. With Motion Sketch, for Gen-4.5 Image to Video. Upload your first frame image. Sketch and annotate what you want to happen. Then hit generate. Try it today at the link below.
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Boring AI: Agents for Operational Work and Business Outcomes
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@rohanpaul_ai We totally agree. The real value of AI is in quietly taking on the boring, operational work that keeps businesses running. That’s exactly what we’re building with Boring AI: agents designed for accuracy, reliability and outcomes, not hype. Check out our work:
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XGBoost endures while frameworks come and go
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Frameworks come and go. XGBoost is forever. @trainxgb
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Jamba2: Open Source Model for February On-Device Applications
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Model to try out in February: Jamba2. Fully open source under Apache 2.0, includes 3B (dense) model for on-device apps, intended for grounded QA workflows that don't call for the heavy “thinking token” overhead of reasoning models. Further details:
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Jamba2: Open Source Model for On-Device QA Applications
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Model to try out in February: Jamba2. Fully open source under Apache 2.0, includes 3B (dense) model for on-device apps, intended for grounded QA workflows that don't call for the heavy “thinking token” overhead of reasoning models. Further details:
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5 Models to Improve ChatGPT
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ChatGPT's custom instructions feature is incredibly powerful. But 99% of people write poor instructions. I tested over 200 custom instruction sets. These 5 patterns boosted output quality by 3.4x.