> If you pay a software engineer, that's not "really" an "expense", regardless of the fact that you paid them.

If I pay for ... pretty much anything whatsoever ... I cannot write it off my personal income tax here in Canada. Not housing, not food. Medical expenses will come off the bottom not off the top.

Anyone using vision to parse screenshots? QVQ was too slow. Will give this a shot.

The foundational idea of AI is that people think with words. But it is false. People think with things and use words only to point to things. Thinking with words is not possible. It will always be a case of shizophasia.

Thanks HN! (cofounder here)

Just a couple of things that I think makes GuMCP different than other options out there:

- Having a unified way to run each server via stdio and sse. Basically all existing providers either let you connect through their hosted sse service or let you clone and run stdio locally. Rarely is there a very simple way to do either/or, especially when it comes to hosting your own sse server out-of-the-box. Existing options like Zapier's MCP are closed source, so it's not so simple.

- Setting a flexible and generic framework for integration auth with MCP servers. Currently, methods of authentication vary from server to server. We provide a unified mechanism of auth for every single server that is importantly generic enough for you to be able to host it on your own. We do this through having a base 'AuthClient' that is used across each of our servers, which supports any arbitrary implementation. For local use, we provide a LocalAuthClient that sets a standard for integrations, OAuth and otherwise.

- We also have a GumloopAuthClient that uses your existing credentials for Gumloop, which will then exact similarly to how Zapier or Composio do their MCP servers, with auth taken care of easily. Difference is you have the flexibility to also host it on your own with your own AuthClient, or run locally with stdio and local auth as well.

- Ready-to-deploy sse through one URL. If you want to host on your own, the repository out-of-the box can be deployed with ALL sse servers hosted under a single URL.

- For open source contributions, your server will be deployed and hosted instantly. No need to fiddle with devops to get a SSE server available remotely for your implementation. This makes it way simpler for less technical folks (or just those who don't want to deal with infra) to make their ideas a reality.

Twitter started with $13 billion in debt and now has $12 billion, so was only able to make $1 billion in profit in about two and a half years. Twitter was making around $500 billion a quarter before the Apple ad targeting changes that Meta was able to recover from back to more than their profitability before the changes, so if Twitter only got back to ~$100 billion a quarter they failed pretty hard in comparison to Meta despite how much more efficient they were supposed to be, but he got political control out of it, and now acquired a ton of political control from poaching Tesla AI employees from himself for a new startup during the biggest AI boom in history with no significant further development of Tesla's AI training hardware and many of Tesla's top researchers moved over.

> Having the human attention and discipline to mindfully verify every single one without fail? Impossible.

I mean, how do you live life?

The people you talk to in your life say factually wrong things all the time.

How do you deal with it?

With common sense, a decent bullshit detector, and a healthy level of skepticism.

LLM's aren't calculators. You're not supposed to rely on them to give perfect answers. That would be crazy.

And I don't need to verify "every single statement". I just need to verify whichever part I need to use for something else. I can run the code it produces to see if it works. I can look up the reference to see if it exists. I can Google the particular fact to see if it's real. It's really very little effort. And the verification is orders of magnitude easier and faster than coming up with the information in the first place. Which is what makes LLM's so incredibly helpful.

Excellent responses. Thank you. I would add that the O-1 and the E-2 are probably the best fits to do consulting work for multiple companies in the U.S. but the O-1 requires a relatively high level of achievement and the E-2 requires a "substantial" investment by (in this case) Canadian citizens (which can include investments by you) or Canadian-owned companies and a business plan that shows the hiring of U.S. workers (citizens and permanent residents) over time.