heurist

I'm in a mission driven organization so I pay more attention to that than other companies might. Regardless, a little authenticity and enthusiasm can go a long way. The bar is low.

Not a YC startup, but jobs I've posted recently had over a thousand applicants in the first few weeks. I post multiple places, including HN. There's a huge culling process to find the 20-30 most applicable candidates, then to narrow down from there to the 1-2 that fit best.

The best way to stand out (for me) is a real application not written with AI. Everyone uses AI now and it all sounds the same. Express your honest enthusiasm for joining the company/mission in the cover letter (maybe 20% of applicants submit a cover letter, and a smaller fraction of that was written by real people, and smaller fraction of that gives authentic enthusiastic vibes). Use your real voice in your writing. I give the AI applicants a chance if their resume makes sense, but it's a minefield.

This is cynical. There are a lot of people who do care. Consider that someone cared enough to build a bike lane in the first place. IMO life is hard for most people and as much as most would love to "care", they have to take care of themselves and their families first. The caring is focused where it is best applied.

I also don't think Elon would bother fixing a bike ramp or installing dog bag dispensers around his home(s). So if he does "care", it's not about things you care about.

That may be the case today but kids are starting to grow up with this stuff as part of their lives, and I don't think we can anticipate the reaction as both they and the models grow in tandem. I think human creativity is much deeper than LLMs, but that is from my human perspective and I can't fully rule out that the LLMs may become better at it at some point in the future. I actually think they're already smarter and more creative than most people (though not more than the potential of any given human if they practiced/trained thoroughly).

> Generation failed: I'm sorry, but I cannot generate videos of real people. Please try another prompt.

You forget that there's a human behind the prompt, stitching frames and dialogue together.

I rarely watch movies or read books twice anymore. There's too much content already. The challenge with purely human art at this point is that it will be silenced by the perpetual flood of half-assed generated work. There will be room in elite art circles for more, but at some point the generated stuff will be so ubiquitous (and even meaningful) that anyone without connections is going to have a tough time building an audience for their handcrafted work, unless it happens to be particularly controversial or 'difficult' to make. The demand for visual stimulus will be satisfied by hypertuned AI models. Generative AI is not there quite yet but there's no reason to think it won't be better than 90%+ of purely human content within a decade given the pace of development over the last few years.

I've been saying for years that generated content is an impending tsunami that's going to drown out all real human voices online. The internet may become effectively unusable as a result for anything other than entertainment.

Really depends on who is responding. Emails that require a lot of effort to respond to are less likely to get a response in general, I've found.

I have near-FAANG base plus bonus working as a manager/tech lead at non-FAANG in a series B tech startup focused on industrial production (keeping it vague). It is well funded by tech elites and pays more than a comparable company would pay, and I've been here for a few years. I don't have anywhere near FAANG equity potential.

The primary answer to your question is because it's expensive to switch.

When I was starting out a bit more than a decade ago, I was on an agile/scrum software team in a hardware company. The team was fine but I found the process painful. I ejected as soon as a new director realized he could do algebra with the story points and began plotting stories quarters out. I've never been on a scrum team since and am happier for it. As a manager now, I would push back on scrum in almost every situation (and have).

If you use direnv you always know your environment is loaded (assuming you've formed the script properly and allowed direnv to run it). And that's what you want. It's a way to keep your workspaces distinct in the terminal environment. You set what you need to set to be able to do what you need to do from any particular directory.

I've never felt secure enough to check out like this, even when my position was effectively locked in. I always want to improve and attain something bigger, so I look for problems beyond my scope when the work isn't coming to me. I feel comfort thinking I know how to take an idea through the full execution cycle due to my practice in seeking and solving problems. But it is hard for me to relax and let go.

There are many books on MES and ERP which are good for an overview and structure. Then read documentation for the specific vendors you are working with. I have transitioned to this space over the last couple years, and mostly I use LLMs at this point.

Titles that include "the X that Y" are always a signal to skip for me.

Most of my Google searches take the form of '<search query> reddit' these days.

I'm not following. I've put in a total of a couple hours of maintenance over four years for the entire app stack. I think the maintenance issues and processes I use for Python would be the same as any other language. I remember my Java experience a decade back being essentially the same, the JS apps I am responsible have perpetual churn, and my .NET friends have said they feel behind if they're not keeping up with core changes every 6-12 months. Every asset, whether physical or digital, needs regular maintenance. What is different in your experience?

This really depends on your environment. I've been running legacy Python servers continuously for 4+ years without breaking them or extensively modifying them because I invested in the environment and tooling around it (which I would do for any app I deploy). I can't say I want to bring all of them entirely up to date with dependencies, but they're still perfectly functional. Python is pretty great, honestly. I rarely need to venture into anything else (for the kind of work I do).

No one knows what's happening across the real world either. But we're all okay with it.

I've been having surprisingly deep conversations with a GPT life coach I created: https://chat.openai.com/g/g-DLLfw2X2w-lifeguidebot

I've spoken with it a few times at length over the last couple months and each time it has drilled down to the actual problems I am dealing with and gave me good, supportive advice on setting goals and actionable plans. But YMMV.

Half the places I have worked had no desire for quality software..

Yes, this reminds me that I need to find a way to export my old Evernote docs so I don't lose them completely.

Yeah, this is not a good sign for OpenAI. Or at least not for those who appreciate what OpenAI was working to become.

Bitcoiners argue that you need to count the cost of the US military in that calculation, as the force which ultimately secures the value of the US dollar. You can't carve out "printing money" as the only impact.

What's the incentive to create it without something like Bitcoin mining, which can be deployed practically anywhere with an energy source and internet connection, to balance out the costs of doing so? Even if there are better uses, if we can't transport the energy now then it's pointless to build new stranded energy sources. Bitcoin provides the incentive to start that development now. Maybe in the future, batteries will offer a better use of the energy, and won't we be glad to have the existing energy source as soon as that happens?

After reconstruction, is there any way to scan for a particular condition in the model, and map it onto the 3D structure? For instance, find the broken cookie, or find a surface matching some input image.

The long-term historical baseline interest rate for any kind of debt is 6%. I tend to see it as normal too, though may go high for a while in reaction to the artificially low rate of the last decade. Home prices relative to household income are high though.

STRs are still a small fraction of the total housing market, as are institutional investors. People need houses, this market is organic, though reacting to the massive flux in interest rates.

Some data here: https://www.housingwire.com/articles/datadigest-inventory-an...

I have a sporadically-debilitating chronic disease and can't imagine how life would possibly work for me if I was not working a flexible office job.