The Past Is Not Past Memory-Enhanced Dynamic Reward Shaping paper: https://
huggingface.co/papers/2604.11
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AGENTS
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Memory-Enhanced Dynamic Reward Shaping in RL Research
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Sparkle v4: AI Agent Organizes Your Desktop Files
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INTRODUCING:
— Dan Shipper 📧 (@danshipper) 14 avril 2026
Sparkle v4 from @every
Is your desktop a disaster? We built an agent for that.
→ sparkle’s agent examines your filesystem and helps you create an organization structure that’s right for how YOU work
→ it starts with a deep clean. old installers, duplicates,… pic.twitter.com/GCyqM1sdPwINTRODUCING: Sparkle v4 from @every Is your desktop a disaster? We built an agent for that. → sparkle’s agent examines your filesystem and helps you create an organization structure that’s right for how YOU work → it starts with a deep clean. old installers, duplicates,
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AI Agents and Open Standards Transform Developer Experience
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Join us at Google Cloud Next for a panel on the future of developer experience. Karan Singh, Partnerships Lead at LangChain, will join leaders from Atlassian, Datadog, Harness, and Google Cloud. Together, they’ll explore how AI agents and open standards are eliminating friction
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Inside or Outside: AGI Club Membership Question
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"If you’re not inside, you’re outside." #AGIClub
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Databricks Announces New Production-Ready AI Agent Capabilities
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The teams building production-ready agents aren’t just experimenting—they’re building, orchestrating, and governing them as part of real business systems. This week, we're announcing new Databricks AI capabilities to help teams do exactly that. Here’s a look at what’s new
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Inside or Outside: The AGI Club Divide
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"If you’re not inside, you’re outside." #AGIClub #AGIFirst
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Sales Funnel Collapses Into Single Chat Interaction
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My biggest takeaway from this conversation: The funnel is not disappearing, but it is collapsing into a single interaction. Awareness, consideration, decision, all happening in one chat, in seconds. That is a very different operating model for marketing, sales, and service.
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Real Conversational AI Needs Context, Systems Access, and Ability
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The biggest mistake I see: Companies add AI, upload FAQs, and call it transformation. That is not transformation.
That is a slightly smarter auto-reply. Real conversational AI needs 3 things: → context from the customer history
→ access to business systems
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From One-Way Messaging to Outcome-Driven Customer Conversations
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The real shift is this: We are moving from one-way messaging
to two-way, outcome-driven conversations. That means a customer should be able to: → ask a question
→ get a real answer
→ change an appointment
→ buy a product
→ solve the issue All inside the same thread. Not