d13

99% of visitors will just hit the back button.

MRIs are astonishingly musical. I spend a lot of time in them too and the sounds they produce are beautiful.

I had the same experience. It was absolutely juvenile; the writing style was that of precocious 7th grade student.

There’s a simpler solution that allows you to leverage the simplicty of good modern tools without suffocating in dependency hell:

Ban ‘npm install’

It’s nothing more than a party drug.

Just copy/paste any helper code you need into your ‘libs’ folder and be done with it. Your app will still run in 2044.

Exactly the same thing happened to us. Accounts suspended, no information or recourse.

GDScript is really nice! It’s a 99% clone on Python with some extra lovely functional programming features added that make it much, much nicer than Python. Try it, it’s really fun to use.

Or, just code in C#, which has complete API support.

I write Godot games using both C# and GDScript and they’re both excellent. It’s wonderful being able to use the latest C# features, and integration with the engine and API is flawless. GDScript is just python, but with a few extra functional programming features added that make it a much nicer language to code with than Python. And it’s fun and easy to learn - a reasonably experienced developer can learn it in a few hours.

Semantic HTML made sense in the early 1990s where it was intended for formatting static academic literature. It hasn’t made sense since about 1998 however, but unfortunately no new paradigms have emerged to allow creators to express emergent state web apps, which is almost the entirety of content created for the web for the past 25 years. This means we’re simply we’re simply trying to squeeze a square peg into a round hole.

Semantic HTML is the wrong paradigm entirely.

For desktop apps you could try Godot with C#.

Yes, you’re absolutely correct.

2 sentences for me. The enigmatic humorous dirge was a dead giveaway.

When you prime it with those initial 10-20 examples, the responses need to be in the style that you’d like it to respond to. You can use Claude or ChatGPT to help you write those. The model will then just continue on in that same style.

All base, “text-completion” models are uncensored, including Llama 3. You can make text-completion models behave like an uncensored “instruct” (chat) model simply by providing it with 10 to 20 examples of a chat dialogue in the initial prompt context, making sure to use the model’s exact prompt format. Once the model notices the pattern, it will continue like that.

Surprisingly few people seem to know this. But, this is how chat models were created in the GPT3/2 era before instruct models became the norm.

I’m Canadian and moved to UK 5 years ago. I’m experiencing significantly lower cost of living, comparatively affordable housing, higher salaries, much more dynamic economy and better employment opportunities, vastly better healthcare system and social services, better support for immigrants, understandable and accessible government services and in general a far more caring and cohesive culture. All this for no more than I was paying in taxes in Canada.

He did a marvellous and very entertaining lecture series on JS:

https://m.youtube.com/watch?v=JxAXlJEmNMg

Cristian Salcescu‘s books on JavaScript are absolutely marvellous and must-reads.

It has the world’s worst unemployment rate and, depending on how you slice the stats, the worst crime rate.

It’s amazing, as is his Hourglass By The Sign of the Sanitorium.

The Count of Monte Christo is a wild read! The first half if about how he gets double crossed by all his friends. The second half is about how how he exacts his meticulous and glorious revenge.

They have easily improved my coding productivity by 40%

This is exactly right. Comments in JSON would have killed it.

You can combine Svelte with an excellent WebGl framework like Phaser for blindingly fast graphics rendering: https://phaser.io/news/2024/03/official-phaser-3-and-svelte-...

You can use any vanilla HTML/css/js libraries with Svelte, and those far outnumber React’s.

This is an extremely disconnected and vaguely written article and likely a work of fiction or SEO generated content.

Groq’s models are also heavily quantised so you won’t get the full experience there.

And twice as expensive in comparison to the source providers’ APIs

I love Msty too. Could you please add a feature to allow adding any arbitrary inference endpoint?

At what quantisation are you running these?

Male pattern baldness has been sexually selected for as a preference for millennia and is a positive body feature. I find the assertion that it is medical ailment that requires a cure shocking and offensive.

This is superb: https://course.fast.ai/