Glad to see you're doing this! I was wondering if the currency button could be changed. Defaulting to Euro is fine, but being able to switch that shortcut would be handy.
geerlingguy and simonw really amaze me at how well and consistently they cover their respective spaces of interest. Great content, easy to read, and thorough! I'm sure there are others doing deep reporting like this on their own subjects. I'd love to read them too.
Jean-Louis Gassée's Monday Notes about tech and Apple. He's been in the business since the 60's, worked at Apple in the 80's, founded BeOS: https://mondaynote.com/
Raymond Chen's The Old New Thing. He's an engineer at Microsoft that has been blogging about maintaining legacy systems, Windows and MS-DOS for over 2 decades. https://devblogs.microsoft.com/oldnewthing/
Hackaday is a good blog too, there's many authors so it can be hit or miss but it's full of curious folks. https://hackaday.com/
where is the grift from him? he's not a salesman pushing a particular product but is talking about his experience with them. That's a really unkind and unfair thing to say about him.
He's a salesman pushing an entire industry who regularly receives special treatment and access from LLM vendors. The fact that he's open about getting these favors and subtle enough to sprinkle his salesmanship with a thin veneer of skepticism and plausible deniability doesn't make it any less of a grift.
I'm obviously biased when it comes to FOSS foundations, but Simon is also a member of the board of the Python Software Foundation, which is not nothing in terms of looking after our craft.
The LLM stuff feels minor in comparison, even if it may be what HN knows him for. It's certainly not the same level of achievement as your average bargain bin AI rambler in your LinkedIn feed.
If anything, Python programmers should be mortified that PSF leadership includes someone who seemingly spends all his free time and social capital trying to normalize slop and downplay the negative externalities of a bunch of companies that openly wish to undermine software authorship, depress programmer wages, and obliterate career opportunities for novice programmers.
The Industrial Revolution is coming again. Look at data center spend for massive companies like Microsoft. Love it or hate it, the AI you see today isn’t going away. It will only become more capable.
Maybe the next generation can / will need to start the Butlerian Jihad but we’re stuck for now.
Have you written about the tech behind Frinkiac and Morbotron at all? I'm super curious how it works (although I'm sure I could guess), and also how it might be generalized for other shows. Hosting infrastructure and cost to run would be interesting too!
I've found this to be more related to poor representation of the data than inaccurate data.
For example on Apple's Weather app, a "rainy" day means a high chance of rain at any point during the day. If it's 80% chance of rain at 5am and sunny the rest of the day– that counts as rainy. You can see an hourly report for more info, and generally this is pretty accurate. You have to learn how to find the right data, know your local area, and interpret it yourself.
Then you have to consider what effects this has on your plans and it gets more complicated. Finding a window to walk the dog, choosing a day to go sailing, or determining conditions for backcountry skiing all have different requirements and resources. What I'd like AI to do is know my own interests and highlight what the forecast means for me.
In Norway people are extremely weather-focused, and the national weather service delivers quite advanced graphics for people to understand what is going on.
The live weather radar which shows where it is raining right now and prediction/history for rain +/- 90 minutes. This is accurate enough that you can use it to time your walk from the office to the subway and avoid getting wet:
https://www.yr.no/en/map/radar/1-72837/Norway/Oslo/Oslo/Oslo
Then you have more specialised forecasts of course. Dew point, feels like temperature, UV, pollution, avalanche risks, statistics, sea conditions, tides, ... People tend to geek out quite heavily on these.
In my experience, these forecasts are really good 5-7 days out, and then degrade in reliability (as you would expect from predictions of chaotic systems). The apps that show you a rain cloud and a percentage number are always terrible in my experience for some reason, even if the origin of the data is the same. I'm not sure why that might be.
Pleased to see this project in the wild– it seems useful to have a stepper motor with all the control components right on it, and USB-C PD to drive it. This one has an ESP32 chip on it to support a web interface as well. Lots of things I could think of making with this!
I've determined that it's a bad idea for me to write an article like this because every time I've seen one of these they're absolutely riddled with errors and incomplete information. I have no doubt I'd do worse!
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