Python binary wheels now have to be built for aarch64 for them to work inside the container, unless they are built using the corresponding build system while installing. It is not common for python binary libs to publish arm64 binary wheels, as most often they target amd64.
Interesting. What is the long term effect? Do the bad mosquitoes breed back to a sizeable population after some time and again good mosquitoes have to be injected in the target environment to keep the growth of bad mosquitoes in check?
On profilers - profiling will come in 3.15, are you referring to remote exec? It is a great feature I am very exited about, at the same time afraid that the company won’t allow ptrace capability in prod.
It started working after sometime but had hit this issue multiple times. Even my friend in AU hit the same error when he tried to open the same hn link.
I think the teacher's job is not just to teach but more importantly to ingnite curiosity in students on new fields / subjects. If a genuine interest / curiosity in subject is missing then no amount or medium of tutoring can help.
AI is great for the curious. But its not yet there where it can proactively engage with students to generate interest.
> code generation today is the worst that it ever will be, and it's only going to improve from here.
I'm also of the mindset that even if this is not true, that is, even if current state of LLMs is best that it ever will be, AI still would be helpful. It is already great at writing self contained scripts, and efficiency with large codebases has already improved.
> I would imagine the chance of many of us being on the losing side of this within the next decade is non-trivial.
Yes, this is worrisome. Though its ironic that almost every serious software engineer at some point in time in their possibly early childhood / career when programming was more for fun than work, thought of how cool it would be for a computer program to write a computer program. And now when we have the capability, in front of our eyes, we're afraid of it.
But, one thing humans are really good at is adaptability. We adapt to circumstances / situation -- good or bad. Even if the worst happens, people loose jobs, for a short term it will be negatively impactful for the families, however, over a period of time, humans will adapt to the situation, adapt to coexist with AI, and find next endeavour to conquer.
Rejecting AI is not the solution. Using it as any other tool, is. A tool that, if used correctly, by the right person, can indeed produce faster results.
Exactly, and it does't help with agentic use cases that tend to solve problem in on-shot, for example, there is 0 requirement from a model to be conversational when it is trying to triage a support question to preset categories.
> We heard clearly from users that great AI should not only be smart, but also enjoyable to talk to.
That is what most people asked for. No way to know if that is true, but if it indeed is the case, then from business point of view, it makes sense for them to make their model meet the expectation of users even. Its extremely hard to make all people happy. Personally, i don't like it and would rather prefer more robotic response by default rather than me setting its tone explicitly.
One suggestion that possibly is not covered is that you/we can document clearly how AI generated PRs will be handled, make it easy for contributors to discover it and if/when such PR shows up refer the documented section to save yourself time.
> if you can find the logic and the will to do it.
This is important. Both logic and will are required. If only one of the 2 exists the impact can be limited if any at all. Broadly speaking, mostly, people have the logic but not the "will" in a sense that latter gets diluted by factors like ego, seniority, org lag etc.
I think that is where the power of current AI chat interfaces like chatgpt beats other digital interfaces. You ask a question. Get just an answer back in more or less same format or grammer. And no ads. No distractions. Clean.
Though it is tough for ai chat providers to keep it that way for long if revenue from subscriptions / apis does not offset the exorbitant compute costs.