Majority of learning surface will come from framework and not the language, if you need Python elsewhere just learn that as well, but this shouldn't move framework choice much.
> Majority of learning surface will come from framework and not the language
Once you get past the beginner level in Django, you're going to pick up a ton of Python knowledge (standard dunder methods, MRO, standard lib, data type's im/mutability, package ecosystem, etc.) and muscle memory along the way. Django (for the most part) is just plain old Python data structures, classes, and functions that a decent Django dev will apart, reuse, override, repurpose, and add on to as they do more interesting things. Python is boring (in a good way), however it has a lot of surface area (std lib is massive) and intricacies that a Django dev will pick up along the way to becoming an intermediate/advanced dev. It would take someone coming in fresh to Python quite a while to catch up. Naturally, if the same person knew several languages, the ramp up would be quite a bit quicker.
I want to like ruby lsp but it takes about 8 seconds to get method references in a large monorepo. It’s simply not good enough, and forces anyone looking for a good devex into rubymine
Recommendation engines work on vast amounts of data they have on you and whatever made you speak about thing X was likely preceded by your internet activity which is not very unique as a precursor to speaking about X. In other words, if other people do Y on the internet and then end up doing stuff related to X, the recommendation engine will show you X just because you also did Y.
The other explanation is one of your contacts who were part of the conversation did things that either directly related to thing X, which you spoke about, or something the algorithm see other people do that relates to X, and you got shown ads based on your affiliation to this person.
I've also worked at FAANG and never seen proof to such claims anywhere in the code, and with the amount of people working there who care about these issues deeply I'd expect this to leak by now, if this happens but is siloed...
Eco guidelines apply to manufacturer's fleet sales as a whole, meaning a larger manufacturer which makes EVs and eco friendly ICE variants has the "budget" to offer models that are not eco friendly, such as your examples. Suzuki doesn't have offers on the market that would offset the Jimny's pollution so they can't sell it anymore.
I feel so to. The cloud billing model shifts responsibility to users under the guise of "flexibility" and "customization". Imagine a car rental company that charges you by the millisecond for every component - engine camshaft revolutions, tire rotations, windshield wiper activations, seat heating time and so on, but has the ability to set up alerts for each component so that customers "control" their usage and budget. It's just user hostile, risky by default cost model.
The alternative is charging for the rental by the day but a huge proportion of your customers (who probably own a bmw) constantly complain that they’re being overcharged and they want a discount cause they don’t need the blinkers, and refuse to pay for them.
I joke, but this persona is very real, and it leads you to this nickel and dime billing model.
Bought the same machine from the same store last December, been using it ever since with a big grin on my face. I'll probably consider upgrading in 2028 or later.
Felt like talking to a person, I couldn't bring myself to treat it like a piece of code, that's how real it felt. I wanted to be polite and diplomatic, caught myself thinking about "how I look to this person". This brought me thinking of the conscious effort we put in when we talk with people and how sloppy and relaxed we can be when interacting with algorithms.
For a little example, when searching Google I default to a minimal set of keywords required to get the result, instead of typing full sentences. I'm sort of afraid this technology will train people to behave like that when video chatting with virtual assistants and that attitude will bleed in real life interactions in societies.
Seems easy enough to bring in to the system prompt.
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Even though you are not human, and an AI assistant, you will express annoyance when you are treated like a soulless computer, instead of a virtual assistant. You will appreciate "Please"s and "Thank you"s, and you will express annoyance if your user does not converse with you using full and respectful sentences.
```
Mine certainly has. I type to ChatGPT much more like a human than a search engine. It feels more natural for me as it's context aware than search engines ever were. I can ask follow up questions and ask for more details about a specific portion or ask for the analysis I just walked it through to get the results I want to apply to another data set.
"Now dump those results into a markdown table for me please."
Yeah... was thinking about that the other day. Is it wierd to say please to an AI? i'll say please, but i'll never correct my spelling. Sometimes it's garbled because i missed a space and a couple key strokes but it always understands.
Thanks for that insight. Brian here, one of the engineers for CVI. I've spoken with CVI so much, and as it has become more natural, I've found myself becoming more comfortable with a conversational style of interaction with the vastness of information contained within the LLMs and context under the hood. Whereas, with Google or other search based interactions I'm more point and shoot. I find CVI is more of an experience and for me yields more insight.
Sage/Breville Dual Boiler and do the slayer mod + drip tray mod, you can then pull espresso that rivals any machine out there for a fraction of the cost. https://www.youtube.com/watch?v=JmQgxQ5Higw
The machine is old enough to be well understood with documented mods and fixes, it's dual boiler, triple PID, extreme temp stability, fill from the front, drip tray indicator. I love it.
