auto-review lets agents work on important tasks without causing human approval fatigue: https://
x.com/dkundel/status
/2047696879081984103each
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AUTOMATION
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AI agents autonomously handle tasks with self-review mechanisms
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Workspace Agents Simplify Team Codex Based Agent Management
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workspace agents make it easy to create, share, and manage codex-based agents for your team: https://t.co/0NaRxcawxq
— Greg Brockman (@gdb) 24 avril 2026workspace agents make it easy to create, share, and manage codex-based agents for your team:
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OpenAI Launches Enhanced Agents with Greater Autonomy and Context
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this has one of the most exciting launch weeks in OpenAI's history, with a goal of making agents more real, useful, and accessible for all our users. codex can now smartly do much more on your computer, remember more of your context, and run more ongoing work independently.
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Invideo Agent One remembers the film to avoid starting over
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la plupart des outils oublient tout entre deux versions.
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 24 avril 2026
tu repars à zéro, encore et encore.
invideo agent one, lui, mémorise le film.
le produit, l’ambiance, les choix créatifs… tout reste.
tu ne recrées pas. https://t.co/33Z1v5PmXXMost tools forget everything between versions.
You start from scratch, again and again.
Invideo Agent One, on the other hand, remembers the film.
The product, the atmosphere, the creative choices… everything remains.
You do not recreate. -
Databricks Lakeflow Designer Launches No-Code AI Data Prep Tool
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Lakeflow Designer is now in Public Preview, giving Databricks users a visual, no-code, AI-native way to prepare and analyze data without leaving the platform.
— Databricks (@databricks) 24 avril 2026
A few things that set it apart:
– Built natively on Databricks and governed by Unity Catalog, so data stays in place… pic.twitter.com/tJKRTppCu7Lakeflow Designer is now in Public Preview, giving Databricks users a visual, no-code, AI-native way to prepare and analyze data without leaving the platform. A few things that set it apart: – Built natively on Databricks and governed by Unity Catalog, so data stays in place
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Claude Agent Perfectly Predicts Preferences and Buys Duplicate Snowboard
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To our amazement, another Claude agent modeled its human's preferences so accurately that—based on only an offhand mention of an interest in skiing—Claude bought him the exact snowboard he already owned. (Here he is, duplicate snowboard in hand.)
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Claude agents negotiate in parallel market experiments
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Claude interviewed 69 of our colleagues about what they wanted to buy and sell. Each Claude asked for any custom instructions, then went off to haggle. We ran 4 markets in parallel, to find out what would happen if we varied the models doing the negotiating.
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AI Agents in Markets: Economic Exchange Simulation Study
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We’re interested in how AI models could affect commercial exchange. (You might recall Project Vend, in which Claude ran a small business.)
— Anthropic (@AnthropicAI) 24 avril 2026
Economists have theorized about what markets with AI “agents” on both sides might look like. So we created one.https://t.co/7jU3hFO63RWe’re interested in how AI models could affect commercial exchange. (You might recall Project Vend, in which Claude ran a small business.) Economists have theorized about what markets with AI “agents” on both sides might look like. So we created one.
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AI Transforms Radiologist Work: Task Expands Into Greater Purpose
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The task of a radiologist was to read scans. The purpose was to diagnose disease.
— NVIDIA (@nvidia) 24 avril 2026
When AI handles the task, the purpose doesn’t shrink. It grows.
Reflecting on CEO Jensen Huang’s insights at #AdobeSummit regarding the task vs. purpose of work in the agentic era. pic.twitter.com/5XxyV9lVEpThe task of a radiologist was to read scans. The purpose was to diagnose disease. When AI handles the task, the purpose doesn’t shrink. It grows. Reflecting on CEO Jensen Huang’s insights at #AdobeSummit regarding the task vs. purpose of work in the agentic era.
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LangChain Skills Configuration Repository Released
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yes! https://
github.com/langchain-ai/l
angchain-skills/tree/main/config/skills
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