•An Anthropic Claude Max subscriber reported over $180 in erroneous 'Extra Usage' charges despite no activity.
•Similar billing discrepancies and incorrect usage readings have been reported by other users across GitHub and Reddit.
•Anthropic's 'Fin AI Agent' support system proved unhelpful for the specific billing issue, directing users to irrelevant refund flows.
•The user has been waiting over a month for a human response from Anthropic support, highlighting a significant customer service gap.
•The situation raises concerns about the reliability of AI-only support systems for complex or critical customer issues, especially for an AI-first company.
•Hippo is a new open-source tool providing biologically-inspired memory for AI agents, focusing on 'knowing what to forget' rather than saving everything.
•It enables cross-tool memory (e.g., between Claude, Cursor, Codex) preventing context loss and repeated mistakes across different AI workflows.
•Features include decay mechanisms for outdated info, retrieval strengthening for important lessons, working memory, session handoffs, and explainable recall.
•Hippo is designed for portability with zero runtime dependencies, using human-readable Markdown/YAML storage backed by SQLite, making it Git-trackable.
•Google's Gemma 4 26B-A4B, a Mixture-of-Experts (MoE) model, offers high performance with a small active parameter footprint (4B), making it ideal for local inference.
•LM Studio's new headless CLI allows developers to easily serve Gemma 4 locally as an API, providing benefits like zero costs, enhanced privacy, and consistent availability.
•Integrating the locally served Gemma 4 with tools like Claude Code (via aliases) empowers developers to leverage powerful AI capabilities directly on their hardware for coding tasks, despite potential...
•OpenAI Codex is transitioning from per-message pricing to a more granular API token usage model.
•The new model charges based on input tokens, cached input tokens, and output tokens, offering greater transparency into credit consumption.
•Different Codex models (e.g., GPT-5.4, GPT-5.4-Mini) have varying credit rates per million tokens.
•Existing Plus/Pro/Edu and Enterprise/Edu customers will temporarily remain on a legacy per-message rate card until fully migrated.
•Developers can monitor token usage in Codex settings and should optimize for token consumption to manage costs, with average costs estimated at $100-$200/developer/month.
•An Anthropic Claude Max subscriber reported over $180 in erroneous 'Extra Usage' charges despite no activity.
•Similar billing discrepancies and incorrect usage readings have been reported by other users across GitHub and Reddit.
•Anthropic's 'Fin AI Agent' support system proved unhelpful for the specific billing issue, directing users to irrelevant refund flows.
•The user has been waiting over a month for a human response from Anthropic support, highlighting a significant customer service gap.
•The situation raises concerns about the reliability of AI-only support systems for complex or critical customer issues, especially for an AI-first company.
•Hippo is a new open-source tool providing biologically-inspired memory for AI agents, focusing on 'knowing what to forget' rather than saving everything.
•It enables cross-tool memory (e.g., between Claude, Cursor, Codex) preventing context loss and repeated mistakes across different AI workflows.
•Features include decay mechanisms for outdated info, retrieval strengthening for important lessons, working memory, session handoffs, and explainable recall.
•Hippo is designed for portability with zero runtime dependencies, using human-readable Markdown/YAML storage backed by SQLite, making it Git-trackable.
•Google's Gemma 4 26B-A4B, a Mixture-of-Experts (MoE) model, offers high performance with a small active parameter footprint (4B), making it ideal for local inference.
•LM Studio's new headless CLI allows developers to easily serve Gemma 4 locally as an API, providing benefits like zero costs, enhanced privacy, and consistent availability.
•Integrating the locally served Gemma 4 with tools like Claude Code (via aliases) empowers developers to leverage powerful AI capabilities directly on their hardware for coding tasks, despite potential...
•OpenAI Codex is transitioning from per-message pricing to a more granular API token usage model.
•The new model charges based on input tokens, cached input tokens, and output tokens, offering greater transparency into credit consumption.
•Different Codex models (e.g., GPT-5.4, GPT-5.4-Mini) have varying credit rates per million tokens.
•Existing Plus/Pro/Edu and Enterprise/Edu customers will temporarily remain on a legacy per-message rate card until fully migrated.
•Developers can monitor token usage in Codex settings and should optimize for token consumption to manage costs, with average costs estimated at $100-$200/developer/month.
