Valve does allow listing on other stores at other prices. They even allow you to sell Steam keys for your game on other stores for lower prices - and they earn $0 for that while still providing the infrastructure for those players to download/play.
Edit: I think for steam key sales actually you're supposed to sell for the same price as Steam, but I can't seem to find the documentatiom stating either way
Edit 2: Ah, here is something stating it "You should use Steam Keys to sell your game on other stores in a similar way to how you sell your game on Steam. It is important that you don’t give Steam customers a worse deal than Steam Key purchasers." (https://partner.steamgames.com/doc/features/keys)
However, I know many games have steam keys indeed available for cheaper on other stores. Not sure how much valve actually cares, or if they have special permission or what.
For me, Firefox on desktop (Windows) and mobile (Android) both give the SSL warning. Although mine appears a bit different than the parent comment:
An error occurred during a connection to haxxorwpm.0s.is. SSL received a record that exceeded the maximum permissible length.
Error code: SSL_ERROR_RX_RECORD_TOO_LONG
Do you have an example of someone doing that? I suppose the argument would be we wouldn't know - but personally I don't buy it. It's possible to not be "famous" as a billionaire, but it's not possible for people in your life not to know.
Even if only 5% of his NW is in cash, that'd be $50billion dollars in actual liquid cash. Even if it's 1% or less, he almost certainly has over $1bn in cash or practically liquid cash. That's already a dragon's hoard.
I usually make the llms do that part for me. Instead of asking the llm to refactor, ask it to write the codemod script that'll refactor, have it test that script, and even have it run it on its own. It's definitely faster and less error prone that way for me.
Has rate of progress increased? How does one measure that? Genuinely curious - would be very interesting to map out the "effectiveness" of each AI model vs how long it took to train/release.
From my perspective, the model gains are mostly incremental now and a lot of the gains are just from things like improving the agent harnesses. I could be wrong though.
If you try to just instruct them they might get it wrong. If the surrounding software forces them to do it, it'll always work. E.g. it can check for merge conflict markers like <<<<<<< and re-invoke codex/claude to merge again if the previous resolution failed for whatever reason (e.g. AI hallucinated, threw up, whatever).
Also you'll need a wrapper to actually detect when merge conflicts will occur and when rebasing is necessary.
Generally, the less you rely on the AI the better. Make the AI write the code, sure, but don't make the AI be the process.
Also - one issue I've seen with other tools doing worktree stuff is they don't deal with merge conflicts automatically. IMO the agents should just automatically resolve conflicts & rebase on their own, is that a thing here?
I'm not an expert, but as I understand it there are existing solvers for poker/holdem? Perhaps one of the players could be a traditional solver to see how the LLMs fare against those?
AI almost always reduces the time from "I need to implement this feature" to "there is some code that implements this feature".
However in my experience, the issue with AI is the potential hidden cost down the road. We either have to:
1. Code review the AI generated code line by line to ensure it's exactly what you'd have produced yourself when it is generated or
2. Pay an unknown amount of tech tebt down the road when it inevitably wasn't what you'd have done yourself and it isn't extensible, scalable, well written code.
> which is what every other major studio would have done in its place
Afaik CDPR doesn't make many games. If one flops, that might be the end of them. I don't see abandoning a game as a valid option for them from a financial perspective. Makes much more sense to fix the issues and sell more.
Definitely seems like it could be useful, but I'd be worried with giving AI write access to emails.
Is there a good audit trail of exactly what actions it takes at each step? I'd personally be worried about leaking proprietary or otherwise private information this way, or having it hallucinate information when it sends out emails potentially causing catastrophic issues.
Greppable commit messages and descriptions are also important, for a similar reason. If you want to learn where a feature exists in the codebase, searching the commits for where it was added is often easier than trying to grep through the codebase to find it. Once you've found the commit or even a nearby commit, it's much easier to find the rest.
I watched the video but I wasn't fully sure what the scam was. Where it became unclear to me was where it transitioned from a chat to an app.
The app mentioned in his video (MetaTrader 5) is still up - and seems actually legit... at least I think?
So is the scam that they send links to fake versions of the app? How'd the reviews look legit then? Or is there some sort of scam they run on the app where they actually have control of your account?
EDIT: nevermind, I found this[1] post that explains it - the app connects to brokers and is not one itself. So they basically just make a fake brokerage and convince you to use it. So John Oliver's explanation was a bit lacking on that part, and misleading/incorrect about MetaTrader 5 itself.
I just saw this on my YouTube - still hasn't been stopped. I'm sure a _lot_ of people have sent money to this crypto as it's certainly quite convincing to the non-tech audience.