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The “Urban mining” part is the most underrated part of the electrification. Few journalists or commentators get the importance of the recycling industry for batteries. First on the geopolitical side, it means that once need are covered, material can stay in the same region, so no continuous dependance to extracting regions. Second, if we manage to do that cleanely enough, it means that the environmental cost is paid only once. Third (and probably not last), it means that used batteries are still valuable assets.

So the conclusion is « buy everything even with borrowed money, but anyway it’s mostly a game of luck and even with the best strategy you’ll loose most of the time».

Not a bad model it seems, curious to test against a « I never want to die strategy », where everyone saves enough to keep playing, which is what mostly happens in real life too.

In the end, it aligns with YC and the startup model to try the all in for a project that will make you win disproportionately.

It is definitely a XXIst century skill to direct your attention. I am convinced that it is not only by deliberately choosing to be outside the tech bubble, reading paper books or newspapers but also by « pruning » algorithms.

Especially on YouTube that can spiral you on a rabbit hole, it can become a very powerful learning force. I have quite a few friends that became experts in niche subjects by rabbit holing themselves on these topics on YouTube, for example, a serigraphist, a carpenter on Japanese carpenting art or a ceramist.

I think the issue already existed for those who had access to the largest libraries and book stores, only Internet reduced friction, increased span of topics and added video.

Since Da Vinci, it is not possible anymore to have all the knowledge in your mind so focus and attention is the main super power.

Definitely a concept that should be diffused and discussed in France, especially in preparation of next elections for which anti-capitalist sentiment is quite high.

Really neat idea, I think it is one of the best ways to exploit the combined building and explaining capabilities of LLMs. I am currently building an app/game to explain friends and family concepts around wealth management and wealth building. Games are a great way to hide complexity while still including it in the « guide » you are making.

I’ll add that you still need the will and the care to drive it towards an useful product. AI still not magically generate useful products if you don’t ask it to do it and prune the results until it approaches what you desired to create.

Nice article, interesting to keep an open mind. On "No. 0002. Preserving problems", it can happen to people too, no need for a complex system at the size of a company. I have often noticed recognized experts keeping the root of the problem unsolved because it was justifying their position. I may even have been subject of this curse. As an expert, you may know the root cause but have no incentive to solve it and it can be harder to mobilize ressources to solve the root cause than to keep solving the superficial issue. It is management or outside help role to identify and push for solving problems at their root, but it takes time and dedication because of expertise. As most of the time, incentives explain nearly everything.

I have an industrial engineer education. My master’s degree was specifically a collection of small projects to demystify (and have the keys understand deeply) all kind of manufacturing processes and the designing that goes with it : machining, soldering, smelting, forging, electrical circuitry.

I ended up working in IT for a large company because of opportunity. Both in terms of interesting projects and pay. All my fellow classmates that went into industry seem to be stuck in heavy internal processes, or working like hell to finish projects that barely recoup their costs. Those who went into hardware entrepreneurship struggle to find clients and investors. The only sector that still seems sexy is the very high end for B2B and luxury.

My analysis is that scale cannot be reached by non Chinese companies except for very specific and high end products (that have a smaller scale by design). Therefore it is impossible to compete on the price/quality ratio of large scale products. And I end up thinking that tariffs could be the solution.

I am based in Europe by the way

Plus, back of the napkin cost shows it is not that expensive. 30$ (or 20€) times 52 weeks : 1560$ (1040€) Not cheap but less than 5% of a minimum yearly salary of 32k$. [1] Same in most occidental europe. [2] And not everyone reads a book a week (if only so…)

[1] : https://www.bls.gov/cew/publications/employment-and-wages-an... [2] : https://en.wikipedia.org/wiki/List_of_European_countries_by_...

Related indirectly : Turkish airlines hub (Istanbul airport) is a scam. Everything there costs at least twice the price it should. Especially food which is basically what everyone does during layover. Think 30€ for a burger or a kebab.

« Brand new » is not an argument by itself. Business is a must, or at least booking a lounge.

Setting for command is different from actual temp. Plus, humidity is rarely accounted for. A good AC that lowers humidity from 90%+ to 30% and this 30°C home becomes quite comfortable.

What about a continuous scale ? Choosing a base 60/24 for counting time is cultural and even if it is now the world’s norm, I would argue that an alien would not get this choice

Esthetism also counts, a high frequency means a smoother second hand movement. It is one metric watchmakers are fighting on. I found this article that sum it up quite well : https://www.ethoswatches.com/the-watch-guide/mechanical-watc...

For exactly the same reason : space is scarce but power even more. Power can also become unavailable in a degraded situation much often than on land. Therefore, it is a better design choice to have a chest freezer.

In a city appartement where floor space is scarce, convenience is a key feature and power costs barely nothing, it is a less obvious choice.

EU rollback on reducing gas liability, especially the widely debated rule on « no gas car after 2030 », feels now laughable. Maybe the reason why « technocrats » are good rulers is because they use science and data to do it.

If only the German infrastructure hadn’t been built for Nordstream…

In France, with Nuclear power and renewable it’s 20% lower.

Prices also depends on who you want to give power.

Not sure humanity learned nothing before the last 8000 years. It was just very slow. Maybe we will need new ways to learn

Seems fun but unusable on mobile. Windows are not responsive enough. General design seems fun though

Great project and build. I wonder if using a small fan would not help energy transmission, which is eventually the goal of cooking. It may also make the oven work like it’s at higher température while not consuming much energy. It would discharge energy from the walls faster using convection in addition to radiation.

Plus, you can experiment with tray materials depending on what you want to cook.

Suggestions inspired by my experience with convection/classic oven and copper pizza plates

https://www.italiancookshop.com/products/hammered-copper-rou...

It seems that any problem solving starts by defining the data.

« Always define your variables » is the first thing I learned during my engineering studies, in both math and physics class. Professors were insisting a lot about it. I still consider it is the most important thing I ever learned 10 years later.

Seems quite true even in a non-software large company. The work about work is often more important, and certainly is for promotion related progress.

That’s powerful. Most of the differences I can see between AI generated output and human output comes from the « broad but specific » context of the task. I mean company culture, organization rules and politics, larger team focus and way of working. It may take time to build the required knowledge bases but it must be worth it

Interesting site ! There is something playful in the idea of ambigrams that I can’t explain. Maybe something like a puzzle ?

A nice project could be to automate a generator. It must be quite hard because it feels like a mix between a Captcha and an AI hallucination but made right. The « glyph » search part of the site is maybe the best asset to start with a database of possible matches.

Currently improving my foundation in data preparation for ML, this short and right article is a gem.

It is exactly what makes the difference between good and bad experience, both for users and engineers. A well designed system is both easy to use and to maintain or improve. It looks simple, but it is not. It’s both leadership and craftsmanship at its peak.

Not everyone is conscious about it but I feel like it’s something that people will always want.

Like the « evergreen » things Amazon decided to focus on : faster delivery, greater selection, lower cost.

Not that sure. I know Bosch, Liebherr and Samsung fridges bought in the 2000’s that lasted 10+ years, some of them that keeps running even after being used heavily (being moved, used by families of 5…etc). They are repairable and some got repaired. They are 2-3000€+. Which is 2-3x the average monthly salary.

An other thing to account for is the price of repairs. If your appliances costs less than one hour of a mid-skill technician, it’s hard to justify the spending. Same for doing it yourself if you’re time is worth a lot. The only solution is to by high end, which is always risky and more cash intensive. Most people will prefer buying cheap and change to new if required

Yeah, short term. Because power users that are used to switch between languages using internet slang do not like half baked polished translation in their IP-location language. So they leave. Remain mainly low quality users who couldn’t or didn’t wanted to switch between languages. A more powerful forever September again.

I love it ! Thanks for sharing here !

I have to build a project for data analysis with ML (and optionally AI) for a course and certification I am passing, this is a great inspiration. I will probably do something simpler on European stocks.

You say it was a year long effort, was it full time ? Do you have an estimation of how many hours you spent on it ? Did you do it alone ?

At first, Amazon was exactly the kind of Equity business OP is writing about. And it was hugely criticized about it [1, for example]

[1]:https://www.computerworld.com/article/1377261/bezos-says-ama...