I had a China phone with amazing specs but it KEPT KILLING EVERYTHING.
Hardware is pretty useless if the software that drives it is useless. I don't know it probably works better in China all I know is that I went back to good old Samsung.
It's a pervasive Chinese phone problem. I've used many and they all have "Battery saving" features on by default, which means killing background apps after a while apparently. Battery life is great, but newly installed apps sometimes don't work as they should.
The market demands must be different there. I've disabled "battery optimisation" for all the apps I need to stay open (and some apps even prompt me to disable it!), and I don't have any issues in daily use.
That kind of aggressive process termination will be becoming less common since Android introduced freezer [1] optimization to put a background process to a completely unscheduled state.
if you run out of smartphone battery you are in much bigger trouble in China than in west since it's necessary to function almost everywhere, which is why they have rental powerbanks stand literally in every restaurant and every small grocery shop, you are never further than like 5 minutes walk from one in urban area
btw you can always put app to protected/not optimized list which usually solve problems with most of the western apps on Chinese phones (essential Chinese apps like WeChat are on the list by default)
I have had many chinese phones (Huawie, Oppo, Xiaomi) over the years and the things they choose to kill in the background is odd. Web browsers and almoat any kind of banking app will be killed in minutes if not seconds. VLC... Depends on the day could be minutes or days. No idea why that one.
Hard to tell if it something I am doing or not. I will say with all these phones and everything google turned off I typically get 3-4 days per charge but that really depends on what your usage is.
You know how easy it’s become to find security vulnerabilities already with LLM support? Cyber terrorism is getting more dangerous, you can’t deny that.
I can deny that. The ability to find more vulnerabilities won't affect the majority of cybercrime. LLMs have been around for a while now and there hasn't been a noticeable significant impact yet.
And "more cybercrime" is a far, far cry from the sky-is-falling doomerism I was responding to.
You could but it would be a hugely inefficient system. Like, just address an actual need dude.
Most saas isn’t limited by the code behind it anyway. That almost doesn’t matter, even before LLMs. It mattered that there’s support, customer onboarding, solving a businesses issues, customer story, adapting to the needs of their business partners, etc. All of which require large amounts of real human work.
I really recommend you try LLMs again if you haven’t, the last part is really becoming less and less true every day. But I 100% agree that this does not pose a risk to the software developer for all the other points you mentioned. It will just make that trench digger more useful to the developer that needs it. And they’ll still need someone to drive the digger.
LLM is useful just like StackOverflow, Wikipedia, Web Search Engine, Manuals,… are. But automated (which is a pro) and with an hallucination problem (which is a core problem).
The others also may contain wrong information, but the risks are lower and not being automated means the risks are not compounded.
I personally believe we need more trustable source of information rather than automated way to transform it. Especially for the low hanging fruit of coding, which still require to presolve the problem and put us back at the real reason to have a developer.
And one thing that people seems to forget is the wealth of pre-LLM tools to speed up coding. No one uses notepad (from Windows 7) to write code, which is what they keep brandishing as the alternative to their agents and what not.
The hallucination problem has dropped exponentially in recent times in code generation. I can’t even recall a time any of the modern models I’ve used have done it in my recent usage. It’ll still do it in cheap/fast models and in places outside of code generation, but the good models write frankly incredible code, especially if you set them up with feedback loops.
I… don’t agree with this at all.The bottleneck of offshoring was always in the other parts of the job, not code generation. It was in communication and feedback, and product and customer needs.
LLMs are literally communication and comprehension tools. An offshore team with AI assistance can produce clearer English documentation, parse ambiguous product requirements more effectively, and ultimately close the feedback loop faster.
This is the exact cope I’m talking about, as if these tools are just good at code generation and the actual work was always communication or architecture or something.
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