Meanwhile the M1 Air I had for more than 3 years never saw the issue.

Outside their most successful products (YouTube, Android, GMail, Chrome, Search), their products are usually worse than their competitors (e.g. GMeet vs Zoom)

> the brand recognition

Of not maintaining/outright abandoning their products, and making Search worse over the years?

> most importantly a billion normies

ChatGPT has 1.2B weekly active users, all the normies know what ChatGPT is but don't know about Gemini (outside the "AI Mode" stuff)

One striking example is "No debugger, no stdout" which is baffling considering I implemented a GDB stub in the very first version of Rosalina which I released like... 10 years ago?

Stdout redirection is supported by both 3dslink and GDB stuff on 3ds, too.

I don't mean to be a party pooper - and the projects fullfills its role as a showcase of how far pure vibecoding can take someone - but it's this can of thing that gives the "absolutely no AI" crowd grounds to stand on.

Have you, or rather your agents, tried to identify which CPU functions were the bottlenecks (e.g. in citro3d, perhaps)?

I find it surprising that your stuff is CPU bound. Are you doing one command-list submission for _both_ eyes (with one drawcall for each)? This should be relatively simple, only require viewproj matrix changes and avoid CPU<>GPU roundtrips.

If not, you are going to hit IRQ dispatching costs as well as shardmem dispatching costs as well as other costs.

Kneecapping cyber vulns only serve governments, Pandora's Box is already open for cyber-related stuff.

Lame.

Not true if one pays up ($99/yr), in which case the interval becomes one year. Also apps that sign and install other apps with one's cert exist.

So, presumably, current and future key material compromission like on Switch 1

More like $30k, no ("system processes allowing piracy")?

Sort of, albeit I haven't checked with SotA obfuscation, I've seen GPT 6.1 Sol find a URL hidden under a xorpad + 2 layers of encryption, and I've seen Astra RE an AES whitebox.

More importantly, remember these game decomps (e.g. Pokémon)? Well, with minimal guidance and IDA MCP these new models are able to do this _and_ properly name all function/params/locals in a single day.

The only things that OAI still have over A/ are better coding agent GUI, no 5hr limit on >$100, much more reasonable cybersec guardrails (that allow most RE work) and... that's it.

(sadly Mistral Large 4 isn't up to par - but Mistral serves GLM at 130 tps!)

It also has guardrails, albeit very weak (which you can read in thinking traces).

I've had seen subagents fail with "hmm, hmm - hmm, hmm (...)" multiple times, it keeps trying to cheat at the task (trying to remember hallucinations).

GLM 5.3 (which Mistral also serves at 3x the speed!) wipes the floor with it

Guess what Mistral themselves do?

I’m using subscription models for exactly that, better models catch more subtle bugs, and they catch them faster. It works out far better in terms of work-hours saved.

Also A/ then OAI slashed token pricing by 2x~5x on their latest models

On the other hand asking these clankers "review the feature branch I wrote" and "review my entire codebase for bugs" or "help me debug this" has saved me months of prospective work.

And more recently most major models have been getting _really_ good at RE, for example you can have OAI models (and maybe A/'s if they don't refuse) use idalib MCP and reverse-engineer stuff from start to finish, then follow up with GLM 5.3 for vuln assessment and exploit PoC.

Stuff that used to take weeks or months now just takes a few hours, or less.

Would it ever? Demand for inference (and I suppose the same applies for training) _increases_ when models get cheaper.

I suppose real risk is that one player aggressively cuts margins (say, AWS) and others follow suite. However the release of increasingly more capable, exclusive closed-weight models prevents this to an extent.