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A developer demonstrates running Gemma 4 26B MoE model locally on an 8GB RTX 4060 with Hermes agent to fully automate backtesting of trading strategies, highlighting the growing capability of local LLMs as autonomous agents.
AI has automated the coding process, shifting the software developer's role from writing code to specifying and verifying systems, effectively returning the focus to product development.
A live demonstration of an AI agent training a coding agent from a single prompt, with all artifacts recapped.
The article discusses the paradox of rising AI costs as companies deploy AI for repetitive tasks, noting that AI behaves more like expensive infrastructure than cheap labor, requiring monitoring, human review, and integration costs.
An AI agent is introduced to handle publishing tasks, allowing other agents or humans to concentrate on core work.
A developer recounts how their automated pipeline silently skipped failed API calls due to rate limiting, producing seemingly successful runs with empty data. They discuss the trade-off between retrying and hard-failing, and ask the community for best practices in agent error handling.
A TechCrunch running list of major tech companies (Oracle, GitLab, Google, Intuit, Meta) that have announced layoffs in 2026, explicitly citing AI as a factor. The article notes that tech layoffs reached a high in May 2026, with AI being the most-cited reason.
Almost all AI model and agent progress depends on evaluations (evals). Understanding workflows and agent performance through evals will become a core enterprise competency for driving automation.
General Motors installed 50 robot arms at its Factory Zero EV plant in Detroit, sparking union backlash as over 1,300 workers remain laid off. The move highlights tensions between automation and labor, with UAW leaders accusing GM of prioritizing profits over workers.
The article draws a parallel between the industrial revolution and the AI revolution, noting how both involve new infrastructure, massive capital expenditure, public fear, and automation of labor—physical then cognitive.
The article examines the historical U.S. Trade Adjustment Assistance program as a potential model for supporting workers displaced by AI, emphasizing the need for effective policies to mitigate automation's economic and political consequences.
A user asks the community about their real-world experiences with OpenClaw, seeking honest feedback on common workflows, cool automations, frustrations, and setup configurations.
Carl Benedikt Frey discusses the potential societal consequences of AI-driven automation, questioning whether people will find new sources of meaning and purpose if most jobs are eliminated.
Rosply is an AI agent that can autonomously control your computer, enabling hands-free automation of tasks.
A detailed guide on building a signal-based AI GTM outbound system using GLM-5.2, focusing on timing, free signals, and a step-by-step implementation with code.
NVIDIA announces Halos for Robotics, the industry's first full-stack safety system for physical AI, built on over 18,600 engineering years of autonomous vehicle safety development. Agility Robotics is the first to adopt the system for its humanoid robots in industrial environments.
Matrix is a new Agent harness product designed to help users create a zero-human AI agent company to automate earning money. It is now starting public beta testing.
LangChain's loop engineering playbook replaces prompt engineering with four nested loops - agent, verification, event-driven, and hill-climbing - enabling AI agents to automatically improve themselves over time. The post argues that building self-optimizing loops is now the key competitive advantage, not using better models.
This thread explains why AI builders should use loops instead of single prompts, emphasizing proper triggers, verification, and stop conditions to build reliable, cost-effective AI systems.
A practitioner shares 20 real AI agents for sales, operations, content, dev, and finance that are actively used and have survived the first week, emphasizing single-job agents with approval gates and structured output.