az226

Not just that, Biden administration started with some AI regulation that the Trump administration nixed, and then outright banning models. Lunacy.

I'm sure. It was not working properly nor as intended.

Getting a few sticks today is cheaper than volume. Who wants volume has the pockets to pay for volume. It’s a rare reverse wholesale premium instead of discount.

All investors owned profit participation units with limited (capped) profits and limited return size.

After conversion, they all own unlimited profit, unlimited return shares. A lot more valuable.

The nonprofit lost the value between the two.

He tried to get 11% equity but the trial made that impossible.

100% disagree.

- in 2025, OpenAI’s for-profit entity recapitalized from a capped-profit entity with residuals flowing to the nonprofit to a traditional public benefit corporation with traditional equity

This is the egregious part. Before full for profit conversion it was worth $300B. Then after $850B.

A true fiduciary would set an auction and that would set the price for for profit valuation. And then all existing investors would keep the value of their positions, but would be diluted because capped profit is worth much less than unlimited profit and residuals.

But, they sold it to themselves for a bargain basement price. The nonprofit lost out on $300B or so. Maybe more.

It was not an arm’s length transaction. It was self-dealing.

No paywall link: https://archive.is/yi2cX

Not just support people, and not just the customers they serve, any employee can go willy nilly into any repo.

Yes

Or a self dealing conversion.

It’s quite an odd ruling given that OpenAI completed its for profit “conversion” last fall.

It seems the biggest value loss to the nonprofit was in this conversion, not in the initial for profit subsidiary creation giving investors capped profit shares.

Before long you’ll see reasoning world models.

What if you don't start on your laptop or workstation? Also, does the UI shown in the video reveal a model toggle? Doesn't look like it

Edit: actually it gets worse -- you can't start any tasks any longer in your mobile, you are required to sign in from your desktop/workstation. You can't "sign in" from your CLI.

Whoever made this, paper cuts I wish onto you. It sucks.

Edit2: actually you can ssh, so I presume that allows you to do the CLI -- and you still can do mobile first tasks, but it's not intuitive at all. Mobile first tasks you still can't pick the model, and I haven't tested the workstation connection one. That said, indeed paper cuts.

It's beyond terrible. Like they're routing to gpt4o mini with low effort behind the scenes. Just let us pick the model and the effort.

This sucks. Codex was already in the mobile app. And Codex in the browser or in the app sucks because it's not the same as local Codex (VS Code or CLI). And you can't pick the model. Sucks a$$.

Hurray!

Next, for AI papers, a reproducibility requirement. So much code and details are fudged and paper's cannot be reproduced. Ran the training with some other config, or other data, etc. to make their mechanism or intervention seem better.

And yet Mythos couldn’t find it. Whomp whomp

I got Super Mario onto my TI-89

This is very cool

Lots of Unit 8200 peeps.

OpenAI found a way to circumvent the exclusivity. The deal was poorly defined by Microsoft. OpenAI had started selling a service on AWS that had a stateful component to it, not purely an API. Obviously Microsoft didn’t like that and confronted Altman, and this is the settlement of that confrontation, OpenAI doesn’t need to do workarounds, Microsoft won’t sue to enforce exclusivity, and Microsoft doesn’t have to pay dev share to OpenAI. AWS is a much bigger market so OpenAI doesn’t care.

Listen to yourself. Take a moment and try to unpack the mental gymnastics wrangling you just did. Ask yourself, why does the fact that you have a Copilot subscription make it okay to train on all your private repos?

GitHub does not have any of its own models. It routes to partners like OpenAI. Just because some data is from private repos, doesn’t mean all data is flowing nor does it mean it should be trained on just because it’s being inferences on, and there is a difference on the data that was used vs. all the data from that repo, and difference between just that repo vs. all private repos. And they made it all opted in as default. Draconian.

So yes, they did set a precedent and you’re here arguing why it’s okay.

No

But Tim Apple had gray hair

You can thank GitHub for setting this draconian precedent

I’d say those CMU researchers are out of touch with the reality. GitHub can easily overhaul this with a much better system than what those researchers recommended but chooses not to.

99% stars from Claws themselves

Reputation doesn’t equal good taste in judging other projects.

There are much better ways of finding those who have good taste.