pampas

The worst I've seen is a revenue dashboard lazy loading a list of ~50 currencies in a dropdown filter for 5 seconds. Ridiculous. Just hard code it.

It's not just that. It brings with it all the SEO bullshit that places like Reddit have. Everything has to be over moderated because it's a target for SEO spam.

Hopefully it won't turn discord into Reddit where everything is over moderated because of all the SEO spam.

This. Cables suck. Imagine if cars were like this and you had to haul the engine or battery around on trailer.

My home is much easier to heat now I've moved from an aircraft hanger into a cottage.

Good. There are far too many dickheads driving oversized obnoxious vehicles hostile to the public.

General Motors truck and SUV designer Karan Moorjani said “that’s what this truck should look like – a massive fist moving through the air.”

Not sure what the causal relationship is but I suspect it's a bit of both ways. Driving a big "fist" probably makes people drive more aggressively but I suspect assholes are attracted to buying them too.

Unfortunately this won't do much. There are so many Ford Rangers around that Ranger Danger is a term. And BYD seems keen to take over with the ugly shark.

+1 on kusto query langauge. It's much nicer than SQL.

No reaction emojis?

You only need your aunt Janus to take a test and it's mostly out of the bag.

It happened to me too. I got a big cloud egress bill because my game[1] is basically a mirror of thousands of Wikipedia articles. AI bots would smash all the pages so my cache hit rate was low. [1] https://redactle.net (come at me Claude)

I ran it on my trivia game Redactle which features a redacted Wiki article. Mistral Large 4 is not very good. It can sometimes solve a game with ~40 guesses whereas the top models like Gemini 3.8 Flash or Grok 4.7 can one shot most puzzles. My benchmark here aligns with AA Omniscience. I also have a version where the text is rewritten to detect over fitting to exact wiki text which changes the scores but not the leaderboard order.

https://redactle.net/llm-leaderboard?view=vital-500

People need to be paid out whenever there is a leak. If the institution hides the leak make it 10x more. The status quo is not working for people.

Surely capacity should be GW hours?

It doesn't help that a lot of companies want to sniff out how much cash the customer has before even showing any terms and pricing.

Replace trusted with convenient. They're glowing pretty hard giving out all that stuff very cheap in exchange for being the middle man on everything. Not that I mind for my trivial use case.

That's what I do but normal people don't know what any of those terms mean so their daily AI app does that shopping for them and they don't need to get an "Appy Key".

Don't underestimate it though. The easy on-ramp is why PHP was popular a decade ago despite being a crap language.

I don't think that's true anymore. I've seen a few benchmarks where svelte results in less tokens than React frameworks to complete the task. There was a time when LLMs were awful at svelte (especially v5) due to stale knowledge but that's not the case today. The knowledge cutoff isn't so bad and LLMs are much better at copying the patterns in your own codebase rather than relying on baked in knowledge.

Edit: This is the benchmark. But if you suspect it's wrong it's always fun to run your own evals. https://martinalderson.com/posts/which-web-frameworks-are-mo...

I've had no problem using them in 2.x

That's my experience too. GPT-6 Sol tends to rabbit hole and over engineer things.

Not necessarily. It can be arranged so for owners with no income the tax accrues to the land and no cashflow is necessary until sale.

The fact that economically right wing economists like Milton Friedman supported LVT is a great argument against landlord type labelling LVT as far-left and attempting to push the idea outside the Overton window. I think the only valid argument against is it is that a significant LVT would punish those who've worked for their wealth as they've already paid significant income tax. But there are plenty of ways to introduce it gradually. Other arguments boil down to vested interests when I dig into it.

It's a bit like the hyperloop. They know it's not practical but having the idea out there makes money. There will be some niche demand for military use though.

It's not just that. EV charging and solar resources have improved while fossil fuels have become more expensive. The maths is very regional. Some countries are better at producing electricity or oil than others.

You should look up the story behind Pokemon Go.

I have no idea how good it is at coding but it seems to be good at omniscient tasks like solving a puzzle game I made [1]. It's a bit of a silly eval but I wonder if strong recall makes it good for knowledge tasks like legal work.

[1] https://redactle.net/llm-leaderboard

I've put Grok 4.7 on the Redactle LLM benchmarks. It's a bit of a silly eval since it's a puzzle game but it tests omniscience really well.

Grok 4.7 is near the top of the board. A significant improvement over Grok 4.6 but still not as good as Gemini 3.8 Flash which is very cheap and fast too.

https://redactle.net/llm-leaderboard

It might be good at routing fixes to the most appropriate LLM.

I used Jev to make my AI game 6x faster and 8.7x cheaper.