seizethecheese

This feels like an ex post explanation for 20th century history.

For example, the Great Depression. Hoover was a literal textbook author, but is widely blamed.

The only real professor was Wilson, but he had similar failings to what people in this thread are worried about.

Okay so assuming engineer compensation of $200k, you’re suggesting something like a thousand-fold productivity increase on this task in terms of cost and 26x or more in terms of time?

> Stocks going up has been so normal for so long that it doesn't get much press. Any significant drop is way more newsworthy.

It's true that stocks tend to go up, but it's also true that large daily moves are pretty close to 50/50. It's brownian motion with a trend. The drops really do get more press than the spikes, and I don't think it's because they're less common, it's because negative news catches more attention.

I run startup so I set these standards in a small way. I aggressively promote AI use, but do not allow AI writing in Slack. Two reasons:

1. The writing is terrible to read and wastes time.

2. The act of writing ensures understanding. If no understanding is needed, then this doesn’t need to be in Slack, Claude could be just doing it.

The major buyers of inference are not government. The major funders are not government. And the industry isn’t predicated on some sort of government backstop (like perhaps banking).

What’s your proposed mechanism here? Maybe data center buildout risk, but that seems mostly local policy?

Somewhat worse, it’s actually if you serve any model at all, you need a license.

Since the reaction here seems to be universally negative, I’m curious what people see as the benefit of having several gig worker delivery platforms.

As a thought experiment, we currently have a duopoly for ride share. Would we be better off if Uber were broken up into two platforms?

Obviously having one platform would be bad, since there would be no price competition, but what’s the optimal number? Surely, too many platforms would be bad, as the concentration of delivery workers would be terrible on each app, making the whole system inefficient (setting aside whether one things the system should exist at all).

Interesting perspective.

They do serve the same market for gig workers that don’t want to be ride share drivers, though, right? I wonder what their market share is for that.

I mean, running for office is essentially a full time job right?

It seems totally reasonable to both have a law that protects a citizen’s right to run for office without losing their job, but it also seems reasonable to require some sort of coordination with an employer.

(Knowing nothing about this, it is seems like it should work roughly like an extended jury duty.)

it's opencode

Wow, cool, thanks!

> anthropic only prompt caching

Anthropic has custom prompt cache requirements, but we've verified all providers are working well.

> Blinded model.api.id = "contestant" bypasses gemini.txt and serves Claude's prompt (default.txt)

This is wrong. We're serving default.txt which is opencode's default prompt. We are not serving a custom prompt for any model, including Gemini.

> Corrupted/dropped Gemini thought_signature (reasoning_details) in tool loops

We blind the reasoning details in the frontend because this would leak information. Some models summarize thinking while others provide raw thinking. I'll check if we're corrupting the thought signature that's actually sent to the backend.

So far this sort of looks like an example of Gemini being bad. Was this Argon?

Only 3.8 Flash which also didn't do particularly well.

It's possible, but we are getting real prompts from people on real projects, and the instructions about the battle are pretty minimal.

Oh, sure, but isn't claude code still generating this by default? We're just inheriting opencode behavior.

Okay, this is interesting. We are hardcoding the effort (to improve data concentration), and Argon is hardcoded to "high".

Yeah, this is a new project so help me out here. I mean that the harness is running locally. I'm trying to distinguish this from arena.ai webdev arena, where they run the agent in a cloud container.