I absolutely agree, although even that doesn't solve the root problem. The underlying LLM architecture is fundamentally insecure as it doesn't separate between instructions and pure content to read/operate on.
I wonder if it'd be possible to train an LLM with such architecture: one input for the instructions/conversation and one "data-only" input. Training would ensure that the latter isn't interpreted as instructions, although I'm not knowledgeable enough to understand if that's even theoretically possible: even if the inputs are initially separate, they eventually mix in the neural network. However, I imagine that training could be done with massive amounts of prompt injections in the "data-only" input to penalize execution of those instructions.
I find Gemini is outstanding at reasoning (all topics) and architecture (software/system design). On the other hand, Gemini CLI sucks and so I end up using Claude Code and Codex CLI for agentic work.
However, I heavily use Gemini in my daily work and I think it has its own place. Ultimately, I don't see the point of choosing the one "best" model for everything, but I'd rather use what's best for any given task.
You don't need to propagate it, you just need to show the gradient of the current position alongside with the classical evaluation, to give more context to the viewers.
Why would they be? Cursor took an existing editor and added some AI features on top of it. Features that are enabled by a third party API with some good prompts, something easily replicable by any editor company. Current LLMs are a commodity.
But that does not prove anything. We don't know where we are on the AI-power scale currently. "Superintelligence", whatever that means, could be 1 year or 1000 years away at our current progress, and we wouldn't know until we reach it.
Wow, I never thought about how Voyager communicates with Earth. But now I wonder: if Voyager just sends photons towards the Earth, at the receiving end how are we recognizing which photons are coming from Voyager and how is the "signal" decoded?
That's only true now. You don't know that DNA leakage won't be a higher risk in the future (and FWIW, my opinion is the opposite of yours regarding the future risks). Moreover you can change your passwords, but you can't change your DNA.
This is completely false. Any two random humans have more than 99% overlap by virtue of being the same species. It's even higher for brothers. We also share around 90% DNA with cats, dogs and elephants.
> I'm not too worried about it because it's never a 100% overlap.
This doesn't make sense. If they were equal, you'd be the same person except for environmental differences. Many applications don't need equal DNAs. E.g.
> About insurance companies, they're legally forbidden to use such data.
This is a very weak argument. There's a long history of companies doing illegal things, and even if it's illegal today it doesn't mean it'll be illegal tomorrow.
The options might exist, but that doesn't mean that they are viable/usable. I agree with many of your points, but regarding document processing, LibreOffice really does not compare with any of the best alternatives (Google Documents, Office Word). It lacks options, if the options exists they are hidden in obscure menus, it doesn't display many things correctly (at least on my Linux computer), etc. For document processing, I'm still stuck on Google Docs, which is quite a sad state of affairs.
Even if you split the search and ads divisions into two companies, what prevents them from entering into a partnership and keep doing whatever they do now?