Salesforce announces over 30 new features for Slack, including a meeting transcription feature and an operator mode to complete multi-step tasks on the desktop (Sabrina Ortiz/The Deep View)
Sabrina Ortiz / The Deep View : Salesforce announces over 30 new features for Slack, including a meeting transcription feature and an operator mode to complete multi-step tasks on the desktop — For years, Slack has been where teams go to communicate. Now, it's setting its sights on something bigger …
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announcefeatureMean field sequence: an introduction
This is the first post in a planned series about mean field theory by Dmitry and Lauren (this post was generated by Dmitry with lots of input from Lauren, and was split into two parts, the second of which is written jointly). These posts are a combination of an explainer and some original research/ experiments. The goal of these posts is to explain an approach to understanding and interpreting model internals which we informally denote "mean field theory" or MFT. In the literature, the closest matching term is "adaptive mean field theory". We will use the term loosely to denote a rich emerging literature that applies many-body thermodynamic methods to neural net interpretability. It includes work on both Bayesian learning and dynamics (SGD), and work in wider "NNFT" (neural net field theor

Automate Churn Analysis and Win-Backs with AI-Powered Personalization
As a micro-SaaS founder, watching users churn feels like a slow leak you can't fix. Generic "we miss you" emails fall flat because they ignore why someone left. The real challenge is turning your user data into a personalized, automated recovery system. The Core Principle: Contextual, Not Creepy, Personalization The key is to automate emails filled with real user context from your app's data, moving beyond "Hello [Name]." This means using product-centric behavior—like feature usage or errors—to show you understand their specific situation, not their personal habits. Research consistently shows that emails leveraging behavioral triggers significantly outperform generic blasts. Tool in Action: Your own application database is the most crucial tool. By inventorying fields like Last_Error_Even

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Faceless YouTube Automation with AI: Complete Guide 2026 How Indians are building ₹20K-₹2L/month YouTube channels without showing their face Why Faceless YouTube is Exploding in 2026 Let's address the elephant in the room: You don't need to be on camera to make money on YouTube. Some of the biggest channels in India—Think School, FinShiksha, Nitish Rajput—prove that content quality beats personality every time. And in 2026, AI tools make it easier than ever to produce high-quality videos without ever turning on your webcam. The Numbers: Top faceless channels in India: 500K-5M subscribers Average RPM (Revenue Per Mille): ₹40-₹300 per 1,000 views Monthly income range: ₹20K-₹2L+ per channel Time to monetization: 4-8 months (with consistent uploads) Best Niches for Faceless YouTube in India (2
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