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Stop using frontier models for your entire OpenClaw stack. It's expensive and wastes your quota. The first step is identifying which use cases CAN be moved to local models. Here's how I do that:

58,095 views • 3 months ago •via X (Twitter)

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If you do not set up your OpenClaw correctly, it's going to SUCK It will do tasks poorly, not remember anything, and not be proactive Here are the 5 things you need to do right away to turn your OpenClaw into AGI (demos of each in the video below) 1. Brain dump: your OpenClaw won't know how to accomplish your goals for you, if it doesn't know your goals If you haven't yet, you want to tell your OpenClaw: • Your interests • Your career • Your goals • Your ambitions • Anything personal Do this, and your Claw will have the context to be SUPER powerful for you 2. Connect your tools Your OpenClaw can basically use almost every tool you use on your computer You just need to ask it to Ask your OpenClaw to connect to any tools you use daily, and it will just figure out how to do it. Then create a skill for it I have it check my Things 3 todo list every morning and complete any tasks it can 3. Build a Mission Control Your mission control is just a hub for your OpenClaw to build custom tooling Ask your OpenClaw to build a Mission Control using NextJS Then anytime your bot doesn't have the tool available to do a task, have it build it in your Mission Control 4. Mission Statement Your OpenClaw needs a mission statement This is the one sentence statement that will be the north star for every single thing it does It should be based on your goals and ambitions. My Claw's mission statement is "“An autonomous organization of AI agents that does work for me and produces value 24/7” Make your own and have your Claw put it at the top of your Mission Control. Now every task your Claw does will take you closer to this statement 5. Make it proactive Your OpenClaw won't be proactive unless you set those expectations with it Tell your Claw you want it to do a task every night at 2am that brings you one step closer to your mission statement Now every morning you'll wake up and it will do something that surprises you and helps bring you closer to your goals Do these 5 things and your OpenClaw will be 10000x more powerful

Alex Finn

321,151 views • 5 months ago

David Sacks says companies are trapped paying OpenAI & Anthropic because they can't figure out how to use open source models "I think enterprise CTOs would like to shift their token consumption to cheaper models for the obvious reason that it would be more efficient. They are seeing compute costs or token costs skyrocket right now, so everyone's trying to figure this out." "You also have the AI sovereignty issue that Alex Karp talked about. They're worried about giving up the secret sauce or the alpha in their business to a frontier lab that may one day be competing with them. "The problem is, I think in most cases, they don't have the technical ability to do it. Coinbase figured out how to do it. DoorDash figured out how to do it. They built a token routing system that allows them to send frontier tasks to frontier models and non frontier tasks to more mundane models. But I don't think your average enterprise has the technical capability to do that." "This is why the share of wallet of closed models, it actually increased. I think that open source went from 19% last year to 11% this year. So open source as a share of enterprise spending is actually decreasing." "I don't think that means usage is decreasing. I think usage is skyrocketing. It also may be the case that because the whole point of using an open model is you just pay for the compute costs, you don't have to pay a lab, so it may be that it's hard to measure that usage in terms of spend." "But nonetheless, anyone who's saying that these closed models are going to lose or are somehow losing, you're just not seeing it in the data."

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110,354 views • 18 days ago