(github.com)
I dont know why Apple doesnt improve Siri. They have every resources on earth.
Steve had the vision …
in any case, they're bound to get disrupted
* Cryptography category also went down fast but I think LLMs solved RE a bit faster. RE and crypto have in common that the task is completely local, but in classic RE tasks it is also usually ~obvious what you are supposed to do, you just need to do it - which agents do really well.
Obfuscation is no obstacle at all in my experience.
Genuine question; I do not know much about this area.
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.
If it has a binary value you can aim the Ai at, (aka does it work or not), the models are able to figure it out.
For laughs I'm probably going to have a Qwen model on my Mac min with the Pi harness do the same task in a week or two.