Dydan

The bear Synochok lived in a small metal cage of only 4m² for nearly 9 years, forced to perform circus tricks, constantly moved in a vehicle, and was denied freedom 💔 After being rescued and moved to a new home, Synochok completely transformed into a joyful and happy bear, the life it truly deserves 💗 📹whiterock.savewildfund

The 'Super Self-Improving Multi-Agent Framework' for your Hermes or OpenClaw agent. The article below outlines how Hermes can watch over your Openclaw agent, so this example uses Hermes as the main agent. This idea is interchangeable based on preference. How it works: Agent 1 (Hermes) - The main agent: who operates your workflows, and who you have in the top hierarchy of agents. For simplicity, it also runs the workflows using its persistent memory and self-improving skills. Agent 2 (Hermes) - Main's Supervisor agent: who monitors the entire system, reading operations and failure logs, searches for bugs, solutions, then brings them to... Agent 3 (OpenClaw) - External Supervisor agent: who also monitors the Hermes system, and searches for issues and solutions. Multiple times per day, Agent 2 audits the system, finds errors, stale jobs, etc, proposes a fix, then tags Agent 3. Agent 3 audits the system, reads Agent 2's summary, and verifies the problem and solution. Together, they go back and forth in a dedicated channel until they find a coded solution to the problem. If it's a low-risk fix, it auto-fixes it. If it's high-risk, it's raised to Agent 1 for approval via the owner (me). The first goal is never to have to worry that the system is operating correctly. The second goal is to have two separate agents focused on recommending improvements to the system. Ideally, there are no bugs to fix, and you can have them focus on making meaningful improvements to your workflows over time. This is the basic workflow for monitoring, but you can extrapolate this framework to many more use cases. What's [redacted]? I'm cooking up something to continue working toward my goal of building more sentience in my agents. I will share more soon. Let me know in the comments if this works for you. I'll create a fleshed-out article if you are interested.

This is WILD. Peter Thiel just bet $2 billion on a collar that wraps around a cow’s neck. The company is called Halter and it has a proprietary algorithm that runs the entire operation. They actually trademarked the name for it and called it the Cowgorithm and here's how it works. A farmer opens an app, taps a button, and 600,000 cows across three countries start walking toward the milking station on their own. No farm dogs, fences or physical labor, it's just a solar-powered GPS collar sending sound and vibration cues to each animal. The collar does more than move cows around. It monitors digestion, fertility cycles, and health patterns in real time, 24 hours a day, using machine learning trained on the behavior of hundreds of thousands of animals. Halter was founded by a rocket engineer who built spacecraft at Rocket Lab before deciding that farming was the bigger unsolved problem. US ranchers alone have already used the technology to build over 11,000 miles of virtual fencing, roughly the full perimeter of the continental United States, saving an estimated $220 million in physical fencing costs. Halter's previous funding round valued the company at $1 billion. This new round, led by Thiel's Founders Fund, doubles that valuation to $2 billion before the new money even hits the account. And they charge farmers between $5 and $8 per animal per month on a subscription model, meaning the more cows they collar, the more locked-in the revenue becomes. The most powerful venture capitalist on earth just decided that the future of food and farming runs through an algorithm named after a cow. He might be right.

all of my ct friends vanished without a trace and theres no one left. crypto as we know it, is over