1,558 karma · joined October 21, 2008
https://parseur.com
https://spindoc.ai
https://www.challengelistcreator.com
https://mappacker.com
(You can email me: my nick at gmail.com)
- Solid rock
- Gaseous atmosphere
- Atmospheric pressure between 0.6 to 70 (!) (depending on gases mix) atmospheres
- Right temperature: between -20C and +40C
- Mix of gases so that CO2 is not more than 0.1% and oxygen 20% or equivalent
- Something to filter hard UV rays: for example ozone layer
- Something to push larger asteroids away or attract them: a large moon for example
- Enough greenhouse-effect gases but not too much (:'
- Relatively strong magnetic field to deflect high-energy particles, but not too strong otherwise it creates radiations like Jupiter's
- Water
- Carbon
- Iode
- Ton of other stuff like Potassium and Phosphorus
- No cyanide and other supertoxic compounds like tetrachlorides
Those are all requirements, miss one and you will die, quickly or slowly.
And this is just to barely SURVIVE. I'm not even talking about niceties like food or electricity.
Contrary to what initiatives like the tigerbeetle team is doing with tigerstyle, or the 10 nasa coding rules, code created by llms tends to be verbose and slow.
I understand what they are trying to do, but to me it feels like the moment when MongoDB entered the database space, with semi-structured, "flexible" storage format. It has its uses, for prototyping mostly.
But in high-volume, production workloads, giving a structure to the data you extract (what Parseur does through defining the Fields in your Mailbox, basically giving your output data a schema) adds a ton of value, and the larger the dataset, the truer it is.
Usually, you start by defining where you want your data to go, and which structure it should have, before working backwards from here and starting to extract the data. This is the key to automating your document workflow.
OCR still sucks in 2026. Hopefully this might improve the situation but I haven't tested it yet.
Fossil fuels are 40% of freight tonnage, but transporting them fuels is responsible for 50% of the total freight fuel consumption.
I assume 99% of freight uses fossil sources as fuel.
It happens for every single Anthropic release. Then I try it on real dev and the result is laughably bad. Except in design where it has been doing a decent job for a while. I am not a designer and my bar is pretty low.
And bonus points for bashing MongoDB, of course. Every single project that I worked on where MongoDB was used, also had MongoDB as the single largest constraint and operations time sink.
Don’t live in the hype. Not everyone is drinking the ai cool-aid bottoms up.
What do you mean by fastapi being a mistake ?
AIs are still computer programs and are not given the resources to render javascript, so they cannot access the game data from the website. And they obviously don't have it in their parameters. BTW Google Gemini Pro just told me that they know the game but did not know the value. Actually, it points out that it is a known trap for AI to confidently give a wrong, hallucinated value. Maybe it had already seen this thread and integrated it in their parameters or fine tuning. I don't know...
Gemini Fast confidently gives me a wrong value. But very quickly! I'll attach the entire Gemini response as a sub-reply.
Parseur is a B2B Saas that automates document-processing workflows.
We are a 100% office-less, fully remote team of 5 looking for the 6th full-time (or 80%) team member.
We're looking for an excellent front-end dev who ideally knows React. And it would be nice if you could also design and know your way around CSS.
More info here: https://parseur.com/jobs
After falling in love and hacking away with Claude for a few weeks, I'm now in the hangover phase, and barely using any AI at all.
AI works well to build boilerplate code and solve easy problems, while confidently driving full-speed into the wall as soon as complexity increases.
I also noticed that it makes me subtly lazier and dumber. I started thinking like a manager, at a higher-level, believing I could ignore the details. It turns out I cannot, and details came back to bite me quickly.
So, no AI for me right now, but I'm keeping an eye out for the next gens.
The largest Q-Max-class gas tanker is 345 meters long [1]. Let's say you manage to fit 3 giant Siemens wind turbines on it, with 100m long blades [2]. It's a bit cramped but let's say you have extenders on the side to make room for all 3 of them. And also let's say you found a way to prevent the ship from tipping over when the wind is strong. By deploying floaters on the side or whatever. Not unsurmountable.
Each of those wind turbine has a rated power of 14.7 MW [2]. Let's say that you found a place where the wind blows super strong (but not too strong) and steady all the time. It's possible, since you are a mobile ship, after all. Let's say that you have a way for the ship to keep in the same place despite the strong and steady wind pushing you constantly. Using engines is going to lower your efficiency, so let's say we found another way.
So, now your ship is generating 45MW constantly. According to ChatGPT, this is 32 kg of hydrogen per second, taking hydrolysis losses into account.
Tanker capacity is 18 620 000 kg of liquid hydrogen. It will take 581 000 seconds to fill up. 9697 minutes, 161 hours, or 6.7 days. Much shorter than I thought... Did I miss something?
[1] https://en.wikipedia.org/wiki/Q-Max [2] https://www.offshorewind.biz/2024/04/22/first-siemens-gamesa...
However, this never happens in the real world: You buy a nice car, then a nice house, then go to nice vacations, eat better, healthier food.
Then you realize that there are layers of nicer everything above what you consider "nice". Build a more ambitious company, and end up building rockets to explore the solar system and make humanity multi-planetary, cure illnesses, extend knowledge or education or peace.
If a blunder is a 0, then avoiding blunders is super important.
For example if you are in finance or accounting, commiting fraud makes you lose your license and set your business value to zero.
If you are a startup, you don't have to wait for your competitors to play before making a move, you can (and must, to survive) make as many moves as you possibly can, to get ahead.
A blunder is not as bad as not making enough great moves.