ChatGPT has double usage on still until April 4. I am getting an incredible amount of usage from it across both the web and the codex cli. Really good value for sure. Are you using Chatgpt for anything at the moment ?

If you had a magic marketing genie and could "automate away" any marketing task or job, what would it be? Whatever you choose, would run on autopilot and just be done automatically Lets hear your magic wishes !

Introducing Mercury 2: The Fastest Reasoning LLM Mercury 2 is a new reasoning language model built for real production environments where speed actually matters. Modern AI systems are no longer single prompt, single response. They run in loops with agents, retrieval pipelines, tool calls, and background jobs. In these systems, latency compounds across every step. Traditional LLMs decode one token at a time, which creates a built-in speed bottleneck. Mercury 2 changes the architecture. Instead of sequential decoding, it uses diffusion-based generation. It produces multiple tokens in parallel and refines them over a few steps. Think less typewriter and more editor revising a full draft at once. The result is over 5x faster generation and a fundamentally different speed curve. Key highlights: - 1,009 tokens per second on NVIDIA Blackwell GPUs - $0.25 per 1M input tokens and $0.75 per 1M output tokens - 128K context window - Tunable reasoning - Native tool use - Structured JSON output - OpenAI API compatible The bigger shift is in the reasoning trade-off. Normally, better reasoning requires more test-time compute, which increases latency and cost. Diffusion-based reasoning delivers reasoning-grade quality within real-time latency budgets. Where Mercury 2 shines: - Coding and autocomplete where flow cannot be interrupted - Agent workflows with many chained inference calls - Real-time voice interfaces with tight latency constraints - Search and RAG pipelines where multiple steps stack delay Mercury 2 is built for production AI systems that need responsiveness under high concurrency, stable throughput, and consistent performance. It is available now via early access and integrates into existing OpenAI-compatible stacks without rewrites. The core idea is simple: faster reasoning unlocks better systems. This will be interesting for building marketing ai agents. what uses do you see for it ?

Anthropic has introduced Remote Control, a feature that lets you access and control your local Claude coding session from a phone, tablet, or web browser. It works by syncing a local command-line session with the mobile or web interface, so the actual work continues running on your own machine while you view and interact with it remotely. Remote Control is available as a research preview for Claude Pro and Claude Max subscribers. It does not work with API keys and is not offered on Team or Enterprise plans. Because the session runs locally, your tools and project setup remain available while you work remotely. Remote Control has limitations. You can only run one remote session at a time, the local terminal must remain open, and if your machine loses network connectivity for more than about 10 minutes the session will time out. Let us know if you try it an how it is !

Multi-agent orchestration for Claude Code and Codex. Plan with explicit dependencies, execute in parallel waves, with an orchestrator that maintains context and verifies work. Taking inspiration from Ralph Loops and Gas Town, I've combined what I believe is the best of both worlds: loops and subagents. The result saves tokens and drastically reduces complexity. This is designed to be SIMPLE. Simple to use. Simple to setup. Simple to Execute. i have been meaning to try this out but havn't had time yet. let us know if you do and how it is ! https://github.com/am-will/swarms