I think that's just how Google is, by nature. They don't intentionally degrade their services. They just aren't a customer centric company. They run on numbers. As a corporate, it doesn't really encourage support and maintenance work either.
Even so, it's rather common for doctors to not be albe to diagonise correctly. It's a guessing game for them too. I don't know so much about US but it's a real problem in large parts of the world. As the comment stated, I would take anything a doctor says with a pinch of salt. Particularly so when the problem is not obvious.
This is really not that far off from the argument that "well, people make mistakes a lot, too, so really, LLMs are just like people, and they're probably conscious too!"
Yes, doctors make mistakes. Yes, some doctors make a lot of mistakes. Yes, some patients get misdiagnosed a bunch (because they have something unusual, or because they are a member of a group—like women, people of color, overweight people, or some combination—that American doctors have a tendency to disbelieve).
None of that means that it's a good idea to replace those human doctors with LLMs that can make up brand-new diseases that don't exist occasionally.
Living rooms are not that big to start with. I don't think you actually asked anyone's opinion on this! :D
Small TVs are not comfortable to watch. No one I know is okay with getting a smaller TV and moving their sofa closer. That sounds ridiculous. If there's any comfort to this capatilistic economy, it is the availability of technology at throw away prices. Most people would rather spend on a TV than save the money.
As for the theatre being obsolete, I do agree with you, atleast to some extent. I think everyone is right here. All factors combined is what makes going to the theatre not worth the effort for most of the movies. It's just another nice thing, not what it used to be.
Also, the generational difference too. I think teen and adolescents have a lot of ways to entertain themselves. The craze for movies isn't the same as it used to be. And we grew old(er). With age, I've grown to be very picky with movies.
From my personal experience using the CLI agentic coding tools, I think gemini-cli is fairly on par with the rest in terms of the planning/code that is generated. However, when I recently tried qwen-code, it gave me a better sense of reasoning and structure that geimini. Claude definitely has it's own advantages but is expensive(at least for some if not for all).
My point is, although the model itself may have performed in benchmarks, I feel like there are other tools that are doing better just by adapting better training/tooling. Gemini cli, in particular, is not so great looking up for latest info on web. Qwen seemed to be trained better around looking up for information (or to reason when/how to), in comparision. Even the step-wise break down of work felt different and a bit smoother.
I do, however, use gemini cli for the most part just because it has a generous free quota with very few downsides comparted to others. They must be getting loads of training data :D.
Yeah, you can see this even by just running claude-code against other models. For example, DeepSeek used as a backend for CC tends to produce results mostly competitive with Sonnet 4.5 A lot is just in the tooling and prompting.
There are many more use cases that aren't fully realised yet. With regards to coding, LLMs have shortcomings. However, there's a lot of work that can be automated. Any work that requires interaction with a computer can eventually be automated to some extent. To what extent is something only time can tell.
Sure, but you don’t need AI to automate computer work. You can make a career out of formalizing the kinds of excel-jockeying that people do for reports or data entry
What are you on? The only potential is AR? What?!!! The problem is AR is not enough innovation and high cost. That's not the case with AI. All it needs is computing, not some ground breaking new technology.
The only potential for VR is salvaging the investment by pivoting to AR.
And if it's only compute why we are seeing teams with limited compute from china reach SOTA model performance, and teams with a bunch of compute available (Meta) fail ?
