Not really. There are very few cases where a combination of speed, accuracy, and quality of the results matter as much. Most of the agents you need are run and forget.
GENERATIVE AI
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Fabric’s Emotional AI Video Model Blurs Real and Generated Content
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The line between real and generated keeps getting thinner.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 10 octobre 2025
Fabric’s new emotional AI video model is a glimpse into what’s next for human-level digital expression.
Impressive leap for video realism. 👌 https://t.co/IZt6VCu5uOThe line between real and generated keeps getting thinner. Fabric’s new emotional AI video model is a glimpse into what’s next for human-level digital expression. Impressive leap for video realism.
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Databricks Query Runner: AI Agent Answers Data Questions Naturally
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Everyone wants faster answers from their data. But no one wants more tools. That’s why we teamed up with @Atlassian to launch Databricks Query Runner—an AI agent that answers your data questions in natural language, right inside Rovo! Powered by Databricks AI/BI Genie.
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300 Hours on GPT5: Everything I Learned
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I've spent over 300h on #GPT5… Here's everything I've learned → https://
youtu.be/jJe5DHTLBvM #ChatGPT #ChatGPT5 -
Sora clones flood App Store amid major tech innovations
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Top stories in tech today: – Sora copycats flood Apple’s App Store
– Amazon's prescription vending machines
– Tensor Robocars will come ‘Lyft-ready’ – MIT and Harvard design ‘natural killer’ cells – Quick hits on other tech news Read more: https://
tech.therundown.ai/p/sora-clones-
flood-app-store
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AI Evaluation Method Using Embeddings and Likert Ratings
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And before anyone complains, "which another AI rates" is a bit of an oversimplification (character limits!): as explained in the diagram, the free text response from the AI acting like a consumer is converted into embeddings & compared to reference statements with Likert ratings
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LLM-Based Customer Intent Prediction Achieves 90% Accuracy
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This paper shows that you can predict actual purchase intent (90% accuracy) by asking an LLM to impersonate a customer with a demographic profile, giving it a product & having it give its impressions, which another AI rates. No fine-tuning or training & beats classic ML methods.
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Week highlights: CellTransformer, Figure 03 robot, Base Power funding
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Dan's last Dose.
Peace in the Middle East.
Nobel winner lives best life.
Allen Institute's CellTransformer maps brains.
Figure unveils 03 robot that can do home chores.
Base Power Company announces $1B Series C .
+David Lynch on meditation. What a week for the optimists. -
Jamba Reasoning 3B: Tiny Open-Source Model Excels at Reasoning Tasks
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@VentureBeat spotlights Jamba Reasoning 3B, our tiny open-source model that outperforms others across reasoning benchmarks and runs securely on-device. Read the feature
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AI Amplifies Human Effort: Engineering Efficiency Through Vision
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“AI should not replace human effort, it should amplify it. When our engineers can take a photo of a junction box and instantly know it’s fine, they spend less time on routine checks and more time creating real value. It makes their work easier and their impact greater. The