Yeah, this is what I don't get. People have the right to peacefully protest (and they should). However, once you actively get in the way of official federal policing business, you are no longer a peaceful protester. Interjecting yourself into already stressful situation will only make things worse for you.
> get in between a federal officer and a suspect, and hope you don't get shot
Sometimes standing up to tyranny does require bravery. Like the protestor in Tienanmen Square. Did he get shot? We don't know.
> Comments like your only serve to incite more violence.
How so? We are clearly talking about the Pretti case. All the violence was from the paramilitary operatives. All Pretti did was film and stand in front of a woman who was being beaten and pepper sprayed.
Are you saying that the populace needs to learn to submit or else more violence will be inflicted on them? And that I should stop posting my opinion in case it angers the authorities or inspires more people into nonviolent resistance? If not, please clarify.
The "suspect" being the person standing alone who was sent flying backwards whens an officer approached and shoved with both hands? Why was that justified? Was that an "arrest" or physical assault?
To me, the media is/are nothing more than drug sellers at this point. They have their weapon "of truth" sold to the very people you listed above. I do my absolute best to not consume any media because I know it is twisted and often wrong (eg. AI generated content). The best I can do is simply not participate in their war. Reddit, TikTok, X, etc are definitely supplying heavy drugs to anyone who wants to be hooked.
At some point, we definitely need a cooling-off period where people from both sides refrain from inciting anger from the masses.
I wonder if this is really true or just an off-the-cuff comment (no disrespect). I have worked for a number of major tech companies and have never seen this in practice. Some managers were older, some were younger, some the same age. In most/all cases, people were hired based on their technical skills not because they fell into some magical age gap.
Idk, it’s what I observed over many years in many scenarios. It’s the better fit for explaining why some clearly motivated candidates run into headwinds as “overqualified.”
Big organizations have done better, and maybe the view is a bit stale and who knows.
I never trust the opinion of a single LLM model anymore - especially for more complex projects. I have seen Claude guarantee something is correct and then immediately apologize when I feed a critical review by Codex or Gemini. And, many times, the issues are not minor but are significant critical oversights by Claude.
My habit now: always get a 2nd or 3rd opinion before assuming one LLM is correct.
Agreed. From my experience, Claude is the top-level coder, Gemini is the architect, and Codex is really good at finding bugs and logic errors. In fact, Codex seems to perform better deep analysis than the other two.
I just round robin them until I run out on whatever subscription level I'm on. I only use claude api, so I pay per token there... I consider using claude as "bringing out the big guns" because I also think it's the top-level coder.
But as a heart surgeon, why would you ever consider using a spoon for the job? AI/LLMs are just a tool. Your professional experience should tell you if it is the right tool. This is where industry experience comes in.
As a heart surgeon with a phobia of sharp things I've found spoons to be great for surgery. If you find it unproductive it's probably a skill issue on your part.
I wonder how many OSS projects are using AI to actively squash bugs so their projects are more rock-solid than before.
Also, seems to me if your project underwent a full AI standardized code-quality check (using 2 or 3 AI models), it would be considered the "standard" from which other projects could use. For example, if you needed a particular piece of code for your own project, the AI tooling could suggest leveraging an existing gold-standard project.
Wow, thanks for this! I normally don't login to HN and comment anymore due to all the reddit-style comments - especially the constant hate for the US and the President. Thanks for giving me another outlet to review tech-related stuff.
Why do you need to know how much they are paid and their net worth? What difference does it make to you? Public official pay is already available online. A quick google search will tell you how much congress people get paid, and the DoD pay scale is available online as well.
> Public official pay is already available online. A quick google search will tell you how much congress people get paid, and the DoD pay scale is available online as well.
If the cost of the raw materials and worker were less than the price tag at the store, sure, I would probably opt to make my own clothes. They would fit me perfectly, and I can get the right shade of blue instead of bluish.
In the case of AI, Claude costs $100 or $200/mo for really good coding tasks. This is much less expensive than hiring someone to do the same thing for me.
Both. I would note that "real production code" is not necessarily a high bar. For example it does not rule out gross negligence. Most of the companies that outsource their thinking and working to Claude will die of it.
I have a different point of view. Claude code is extremely good at creating and maintaining solid, everyday code including Ansible playbooks (used in production), creating custom dev/ops scripts for managing servers (again, used in production), creating Grafana dashboards (again, production), comparing database performance between nodes, etc. Just because a person did not hand-write this code does not make it any less production ready. In fact, Claude reviewed our current Ansible code base and already highlighted a few errors (the files written by hand). Plus, we get the benefit of having Claude write and execute test plans for each version we create. Well worth the $100/mo we pay.
And to your note that real production code is not necessarily a high bar, what is "real production code"? Does it need to be 10,000 lines of complex C/rust code spread across a vast directory structure that requires human-level thinking to be production ready? What about smaller code bases that do one thing really well?
Honestly, I think many coders here on HN dismiss the smaller, more focused projects when in reality they are equally important as the large, "real" production projects. Are these considered non-production because the code was not written by hand?
All it sounds like to me is that Ansible is production-ready, Grafana is production ready, the compilers and runtimes you're using are production-ready.
Each of those things is a mountain of complexity compared to the molehill of writing a single script. If you're standing on top of a molehill on top of a mountain, it's not the molehill that's got your head in the clouds.
Interesting, but isn't the real issue here how external systems can/will update their output at random? Given you are probably a domain expert in this situation, you can easily solve the issue based on past experience. But, what if a junior person encountered these errors? Do you think they have enough background to solve these issues faster than an AI tool?
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