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I have a few kids, raising them is a mix of good and bad, like everything else. it took a toll on my career, pushed my temper to the edge, and stressed me out all these 20+ years, but I also enjoyed many moments. it does not go away when they got older by the way, it's a life long strong bond, at different phases there are different challenges.

If I have a second life, I don't know what to do though, I probably will first make enough money before having kids at least.


I probably will first make enough money before having kids at least.

I think you’ve hit the key difference.

I waited until I was 40 before having kids, and it just feels like I’m doing it on easy mode.

We had time and money sorted out, and tons of free baby stuff donated from all our friends who had done it already.

It’s still lots of work, but you’re at a place in life where you can handle it. I can’t imagine trying to raise kids in my 20s, with my crappy stressful office job and no money in my little studio apartment.

Hats off to anybody who can do that.


On the flip side, you'll still have a 20yo university student to take care of at age 60, while all your friends will have an independent adult child earlier...

I see no issues with that. I don't think that your friends should decide your parenting plans.

That's funny becasue if I could do it again I'd have my kids younger.

when will this be ready and is this as open as ros2?

nice, problem is that, with hikivision and dahua got banned these days, the majority of ip cameras on the market do not do onvif or rtsp, or neither, what a shame.


Get a TP Link Tapo! They are like 20-30 bucks and come with ONVIF.

EZVIZ is another ban-evading arm of HIKVision, easily available in Europe and has RTSP (confirmed) with alleged support of ONVIF as well.


Nearly all ip cameras support ONVIF and/or RTSP.


that's not true in fact, major brand such as google and amazon do not, for reolink etc there are only a selected few models do rtsp/onvif as far as I know.

don't feel that here, chatgpt still gave me better answers most of the time so I had to subscribe both, no clear winner yet.


imho no


Novel programming languages have still educational value for those building them and, yes, we still need programming languages. I dont see any reason we would not need them. Even if Ai is going to write the code for you; how is it going to write it with no programming language? With raw binary? Absolutly not.


Eventually it wont need to write any code at all. The end goal for AI is "The Final Software" - no more software needs to be written, you just tell the AI what you actually want done and it does it, no need for it to generate a program.


But how do you know AI can generate programs without writing code? It can't today -- in fact the best thinking models work by writing code as part of the process. Natural intelligence requires it as well, as all our jobs are about expressing problem domains formally. So why would we expect an artificial intelligence should be able to reason about the kinds of programming problems we want them to without a formal language?

Maybe they will not be called programming languages anymore because that name was mostly incidental to the fact they were used to write programs. But formal, constructed languages are very much still needed because without them, you will struggle with abstraction, specification, setting constraints and boundaries, etc. if all you use is natural language. We invented these things for a reason!

Also the AI will have to communicate output to you, and you'll have to be sure of what it means, which is hard to do with natural language. Thus you'll still have to know how to read some form of code -- unless you're willing to be fooled by the AI through its imprecise use of natural language.


how did you get that 'no programming language' conclusion? there are so many well established languages that are more than we need already, the market has picked the winners too, and AI has well trained with them, these are facts. If there is a new language needed down the road for AI coders, most likely it will be created by using AI itself. for the moment, human created niche language is too late for the party, move on.


in my testing codex actually planned worse than claude but coded better once the plan is set, and faster. it is also excellent to cross check claude's work, always finding great weakness each time.


That’s why I think the sweet spot is to write up plans with Claude and then execute them with Codex


Weird. It used to be the opposite. My own experience is that Claude’s behind-the-scenes support is a differentiator for supporting office work. It handles documents, spreadsheets and such much better than anyone else (presumably with server side scripts). Codex feels a bit smarter, but it inserts a lot of checkpoints to keep from running too long. Claude will run a plan to the end, but the token limits have become so small in the last couple months that the $20 pla basically only buys one significant task per day. The iOS app is what makes me keep the subscription.


Correct, this is the way. A year or two ago lots of people were saying to do the opposite, but at least now and probably also even then, this is better. Claude is a more sensible and holistic designer, planner, debater, and idea generator. Codex is better at actually correctly implementing any large codebase change in a single pass.


And it fits well with the $20 plans for each since Codex seems to provide about 7-8x more usage than Claude.


totally true. for me it's unless until those apple hardware can run linux first-class, till then it's irrelevant. sad to say this but macos sucks.


I use claude-code. claude-code now spins up many agents on its own, sometimes switch models to save costs, and can easily use 200+ tools concurrently, and use multiple skills at the same time when needed, its automation gets smarter and more parallel by the day, do we still need to outwit what's probably already done by claude-code? I still use tmux but no longer for multiple agents, but for me to poke around at will, I let the plan/code/review/whatever fully managed and parallelized by claude-code itself, it's massively impressive.


This rings true, as I’ve noticed that with every new model update, I’m leaving behind full workflows I’ve built. The article is really great, and I do admire the system, even if it is overengineered in places, but it already reads like last quarter’s workflow. Now letting Codex 5.3 xhigh chug for 30 minutes on my super long dictated prompt seems to do the trick. And I’m hearing 5.4 is meaningfully better model. Also for fully autonomous scaffolding of new projects towards the first prototype I have my own version of a very simple Ralph loop that gets feed gpt-pro super spec file.


are you serious, hundreds of node_modules that I have no idea about, plus a runtime in the 100+ MBs alone.


the problem there might be limited training data?


Jane Street had a cool video about how you can address lack of training data in a programming language using llm patching. Video is called "Arjun Guha: How Language Models Model Programming Languages & How Programmers Model Language Models"

The big take away is that you can "patch" llms and steer them to correct answers in less trained programming languages, allowing for superior performance. Might work here. Not a clue how to implement, but stuff to llm-to-doc and the like makes me hopeful


So you're saying we should be vibe coding more open source stuff in languages for discerning programmers ;)


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