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A practical walkthrough on using real Reddit threads to build a small test set for checking whether an LLM preserves the hidden constraints (privacy, offline-only, installation limits) in real-world questions. The author proposes an answer-key workflow that counts constraint violations as failures and separates persuasive-sounding prose from correctness.
This blog post advocates for a pragmatic approach to interacting with large language models, emphasizing practical collaboration over philosophical debates about AI consciousness.
Grab and OpenAI have launched the 'GO Forward with AI' program to train 30,000 Grab partners in Southeast Asia in practical AI skills over two years, starting in Singapore and expanding to other countries.
After analyzing over 600 builds using Jev, the author finds that the most interesting aspect is not flashy demos but the cost-effective automation of routine tasks, enabling large-scale economical AI applications.
The article asks readers to suggest the most useful AI agent they could build in a weekend for real-world tasks.
The article discusses the gap between impressive AI demos and successful production systems, highlighting overlooked challenges like bad data and poor evaluation, and invites input on fundamental misunderstandings in AI.
Anthropic has released 13 free AI courses with certificates, covering topics from introduction to advanced skills like API usage and model context protocol, aimed at practical AI education.
A community member asks which tasks local AI models have become good enough for that they no longer need hosted models, and which tasks still require the strongest hosted models.
The article explores whether AI is genuinely improving business operations or remains mostly hype, asking for real-world examples beyond chatbots and content generation in areas like task reduction, customer support, data analysis, and workflow automation.
A developer used a ChatGPT automation to audit construction invoices, discovering approximately $45,000 in errors over three years, and received refunds.
OpenAI Academy, in partnership with the Walton Family Foundation, is hosting a summer AI Skills Jam for K-12 educators across US cities to provide hands-on training in using AI for teaching and administrative tasks.
The author shares that while building an AI sales agent, they learned businesses care less about the AI model and more about getting qualified meetings and integrating with existing workflows. Improving transparency and trust mattered more than adding more AI features.
Gergely Orosz promotes a weekend workshop led by @clairevo for executives and founders, focusing on practical AI adoption strategies for teams and product development.
A consultant explains how he often talks clients out of building expensive AI agents when simpler, cheaper automations suffice, sharing examples from his work.
The author replaced an LLM classifier with a simple set of if-statements and found the client preferred the rule-based approach, highlighting the value of simplicity over complex AI.
The article argues that small marketing teams prefer reliable automation that saves time over complex AI agents, emphasizing that clients value getting 3 hours of work done in 10 minutes without needing autonomous reasoning.
Asks for real-world AI use cases delivering measurable business results, from cost reduction to customer support.
This article discusses the unique reliability challenges of using AI in spreadsheets, where errors can be hidden in formulas and context, and argues for focusing on narrow, verifiable tasks rather than broad workbook understanding.
The article argues that most businesses need AI agents for automating repetitive workflows rather than just chatbots, and provides a framework for implementation to achieve higher ROI.
Matt Pocock demonstrates that he can solve a Rubik's cube after learning from an AI's /teach skill, proving AI can effectively teach hands-on skills.