long-running-tasks

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#long-running-tasks

OpenAI always-on assistant, O, leaked. It is powered by a variant of Astra called “Aeon” a version of Astra made to better at long running tasks

Reddit r/singularity ↗ · 4d ago

A leak reveals OpenAI's always-on assistant named 'O', powered by 'Aeon', a variant of Astra optimized for long-running tasks.

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#long-running-tasks

Show HN: AutoBot – live voice control for long-running AI work

Hacker News Top ↗ · 2026-09-17 Cached

AutoBot is an open-source agentic harness that enhances AI task completion by 18.5% over baseline on benchmarks like OSWorld 2.0 and AssistantBench, featuring self-improvement, hierarchical memory, and live voice control for complex workflows.

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#long-running-tasks

Insider's opinion on Astra capabilities

Reddit r/singularity ↗ · 2026-09-03

An insider evaluates GPT Astra's capabilities, highlighting its strength in long-running tasks, orchestration, applying academic literature, and code generation, with noted improvements in creative writing over previous models.

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#long-running-tasks

agents can run in the background now. what keeps the task from drifting?

Reddit r/AI_Agents ↗ · 2026-07-31

Google added background execution and remote MCP support to managed agents, raising concerns about task drift and the need for fresh approvals during long-running work.

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#long-running-tasks

How do you handle the 'verification gap' when an agent completes a long-running task?

Reddit r/AI_Agents ↗ · 2026-07-29

Discusses the difficulty of verifying outputs from autonomous agents after long-running tasks and asks about using critic agents or traceability tools to ensure trustworthiness.

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#long-running-tasks

what survives when a long-running agent task gets interrupted?

Reddit r/AI_Agents ↗ · 2026-07-03

Explores what state or progress is retained when a long-running AI agent task is interrupted, addressing implications for reliability and recovery.

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#long-running-tasks

@_philschmid: The Interactions API introduced background=True to handle long-running, async agent tasks that exceed standard HTTP tim…

X AI KOLs Following ↗ · 2026-06-26 Cached

The Interactions API now supports background=True for async agent tasks, allowing long-running operations beyond HTTP timeouts. A guide explains usage, reconnection, and streaming.

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#long-running-tasks

@omarsar0: GLM-5.2 is great at design (Opus level IMO). I am also starting to see great results with long-running tasks, too. How …

X AI KOLs Following ↗ · 2026-06-20 Cached

GLM-5.2, an open-weight model with Opus-level design capabilities, incorporates an anti-hacking module trained via RL to mitigate reward hacking and improve performance on long-running tasks.

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#long-running-tasks

@browser_use: Imagine thousands of agents working for you on the web This is why we rebuilt Browser Use: > Made for long-running task…

X AI KOLs Following ↗ · 2026-06-12 Cached

Browser Use 0.13.0 beta is rebuilt in Rust for long-running web agent tasks, featuring a custom LLM harness and a new terminal interface.

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#long-running-tasks

How I stopped babysitting Claude Code and Codex on hours long runs: planning, git checkpoints and a test gate outside the agent

Reddit r/AI_Agents ↗ · 2026-05-29

The author shares techniques for running Claude Code and Codex on long, multi-step tasks without babysitting, using an external test gate, git checkpoints per task, and a DAG-based plan to avoid blocked tasks stalling the run, and packages this into an open-source tool.

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#long-running-tasks

@QingQ77: Let AI automatically control a real Android phone to perform long-running mobile tasks like social media, research, and content operations https://github.com/Core-Mate/OpenGUI… OpenGUI is an AI phone control system where AI operates directly on your Androi…

X AI KOLs Timeline ↗ · 2026-05-08 Cached

OpenGUI is an open-source AI phone control system that lets AI autonomously operate real Android devices to carry out long-running mobile tasks such as social media management and research. It supports remote task dispatching via Lark, Telegram, Discord, or REST API. Its underlying architecture is split into two layers — a Plan Supervisor and an Executor Graph — and supports multiple models including Claude, Qwen, and Doubao.

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