A job is something where you exchange Skills and Time for Money. Most self-respecting creators/workers will not agree to trade Skills, Time, Privacy, Self-esteem for Money.
Last time I checked, Facebook is not a thing other than for watching AI generated content, Instagram is still a thing to watch mind-numbing content and get distracted from other problems by doomscrolling.
It’s same as language translators and RLHF annotators doing work to contribute to AI training data. Is Facebook or Instagram solving a problem for humanity that’s worth selling your soul? Won’t a job that can be automated with AI training data of clicks and typing, markdown files, next function prediction with no coherence be significantly worse than a job that requires creativity?
How much of this is due to Microsoft Culture of not innovating and buying leading companies with their revenue from windows/office and slowly destroying the aspects of companies that made them great in the first place?
Is all the recent GitHub downtime entirely attributable to GitHub AI Copilot related development? How hard can it be to reduce the blast radius of new AI features to not affect the core parts of hosting repositories? Because of Copilot everywhere, The UX has become bad and I had to click all over the place and on my profile to find repositories.
This is surprisingly good, once you create multiple copies and use each copy as a specialized agent. Maybe we don't need OpenClaw just to manage email, calendar, slack, todo lists etc using natural language.
Agent-kernel has personality, persistent memory, self-modifying capability, using Skills is same as using Skills from Claude code.
Some of the good quotes or analogies in this article:
1 - “It seems like 99% of society has agreed that code is dead.
…It's the same as thinking storytelling is dead at the invention of the printing press. No you dummies, code is just getting started. AI is going to be such a boon for coding.“
2 - Another one comparing writing and coding, and explaining how Code is both a means and an end to manage complexity:
“we're confused because we (incorrectly) think that code is only for the software it produces. It's only partly about that. The code itself is also a centrally important artifact… I think this is a lot clearer if you make an analogy to writing. Isn't it fucking telling that nobody is talking about "vibe writing"?”
You do realize that AI seems magical because text response is converted into actions or tool calls. The AI is deciding the order in which the tools get called to fulfill your prompts. True Intelligence of Type 2 and 3 above needs to formulate, plan, analyse tradeoffs, think critically and solve novel unforeseen problems.
The call flow is:
agent -> select skill (ex: reddit) -> execute action in skill -> script or code associated with skill -> get api key -> call reddit -> reddit posts -> agent.
The agent sees the output of the service, it does not directly see the keys. In OpenClaw, it’s possible to create the skill in a way that the agent does not directly know about or use vault_get command.
This can also be done using existing Vaults or Secrets manager. Hashicorp Vault can do this and agents can be instructed to get secrets, which are set without the agent's knowledge. I use these 2 simple scripts with OpenClaw to achieve this, along with time-scoped expiration. The call to vault_get.sh is inside the agent's skill script so that the secrets are not leaked to LLMs or in any trace logs:
OpenKanban is pretty cool if you’re on the other end and want to use Terminal for both Coding and Task/Project management. It’s almost as good as a Terminal version of VibeKanban, but not so feature rich - https://github.com/TechDufus/openkanban
If you intercept what an agent (client) sends to the LLM with multiple MCP servers and tools, the context or header is filled with available MCP servers and all tools as part of the conversation.
With a CLI, you avoid sending this context to the LLM and it progressively discovers only what is needed.
The input token costs come down because of using a CLI instead of MCP
A simple prompt that tells the agent how to use gh cli to use GitHub using —help commands makes the agent start learning how to use a specific cli and just use it.
This method was popularised by beads with a simple command “bd quickstart” to teach the basics to an agent. Think of this as an adaptive learning method for the agent.
I’ve not seen the details of mcp2cli, but let’s just say you had a mcp2cli wrapper over stripe, you can just tell the agent to run mcp2cli for stripe as a provider to learn how to use the rest of the APIs
It might be extremely expensive to build Claude into every group chat.
A better option is to have Claude as an assistant or bot in every group chat and triggered when needed. That is just a different interface for Claude or Cowork chat with the group chat context.
Leaving aside the implementation details, the call for action here is valid since Slack is a black hole of your enterprise data and tribal knowledge and Slack is extremely restrictive. Try using Slack MCP in Claude Chat or any AI product
What is wrong with this line of thinking? Anthropic is the power company that has a 3D printer to make a faster Maglev than anyone.
If Enterprise companies are restrictive to make your own data their only moat, that moat can be broken. Have you tried building any AI agent or using an AI product with Slack MCP? This is one of the hardest problems in SaaS data access and Slack tries to literally block any form of API or OAuth based access. Even Google workspace is not that restrictive and has opened up a cli for the workspace.