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Google's Gemini AI on Pixel 11 can now delegate and handle phone calls to businesses, including navigating menus and waiting on hold, as an early experiment for paid subscribers.
The article discusses the security issue with cloud agents requiring login credentials and advocates for a local agent approach on macOS that runs in the user's browser, allowing monitoring and control despite trade-offs like needing the machine to be awake.
Kent C. Dodds demonstrates a technique to prevent low-quality code generation without needing to manually review the code.
An engineer built a complete production backend for a university LMS in just 12 days by managing a fleet of AI agents, demonstrating how AI can transform software development by enabling one person to function as a full engineering team.
An AI named Muse AI successfully installed and played RuneScape in a Linux virtual machine, overcoming technical challenges like DNS errors, proxy issues, and login flows autonomously.
LangChain introduces scheduling capabilities for Managed Deep Agents, enabling automated execution of AI agents using cron expressions and prompts.
A user tests the Qoder AI agent tool to automate competitor tracking, which plans research, runs parallel tasks, and compiles structured reports, while mentioning Qwen3.8-Flash and a promotional credit offer.
The article discusses the ease of building no-code AI agents and raises questions about implementing guardrails and governance in production environments to prevent errors.
IntellAgents.io offers a single AI agent that handles inbound and outbound calls, and messages across various platforms in up to 36 languages, replacing multiple customer service tools.
The article likely discusses the urgency for tangible actions and advancements in the AI and technology sectors, as inferred from the title 'Cmon Do Something'.
AT&T is using AI to automate internal processes and decommission legacy services, leading to significant job cuts as it aims to modernize its telecom operations for the AI era.
The latest Remote Labor Index results show that the GPT-6 Astra model can automate 20.8% of randomly chosen remote projects, a significant increase from 2.5% in October, highlighting rapid progress in AI automation.
The author tested eight AI phone call agents, categorizing them into build-it-yourself platforms and direct-call services, and evaluated their performance in booking appointments with specific criteria.
AI automation of entry-level tasks may disrupt career progression by reducing opportunities for gaining experience, potentially leading to unemployment concerns.
The article argues that if AI delivers significant productivity gains, it should lead to a shorter workweek, like a 4-hour week, instead of increased profits for executives, referencing historical work-hour trends and public sentiment on AI's job impact.
The author reflects on building an initial version of a system to handle high volume and praises the team for successfully rebuilding customer support around Grok Bot to scale operations without adding headcount.
The FAA is implementing an AI system in US air traffic management to predict traffic flows, weather disruptions, and conflicts, recommending better routes while humans remain in control.
The article discusses the success of Muse AI assistant topping App Store charts and introduces Today, a similar AI assistant launching in China on September 24, highlighting its features for automating daily tasks.
OpenAI reports that AI systems are increasingly handling the training of next-generation AI models, signaling a shift towards automation in AI development.
Google Research has started researching Recursive Self-Improvement for Agent Harness, focusing on automatically iterating prompts, tools, memory, and control flow without model retraining. This harness-level approach is seen as clearer and more practical than model-level RSI.