Unfortunately for SC4, they proceeded to make all the advisors 3D-rendered Sims. For SC2K, well:

https://www.somethingawful.com/news/simcity-advisors/4/

(that was the least offensive page to link; for the canonical experience start at page 1)

A Night at the Roxbury comes to mind. Except, way less cool.

^ Educational resources for the ignorant that instead prefer to discuss the merits of the term "bro", at length.

Wait, 'unrealistically sunny'? You better not be talking about Dennis from It's Always Sunny in Philadelphia, because we're all screwed if so.

Then again, the western AI landscape has become somewhat stale recently. Claude and Gemini may have cute names, but they all pale in comparison to The Golden God.

Perhaps it had to do with optics? It's not like there was a lack of capability in 2017. [0]

The war in Ukraine provided a way for the US to assist in rapid iteration of the technology without having to shoulder the negative sentiment or grapple with the morality of it.

Also worth noting that the two conflicts were wildly different: Afghanistan was more of an occupation across a much larger area with air superiority. There's not really much impetus to field killer drone swarms when you already have the 24/7 ability to instantly delete most enemy combatants off the map to begin with.

Whereas Ukraine with neither side having air superiority and it resembling something closer to modern trench warfare. In most cases with literal trenches.

>We already used drones quite handily well before that time frame but in a much more limited manner in a different form factor.

The picture below is from 1995. [1]

By approximately 2001 it received the MQ-1A designation indicating it was capable of employing AGM-114 (hellfire) payloads. Kind of crazy to think about.

[0] https://www.twz.com/6866/60-minutes-does-an-infomercial-on-d...

[1] https://en.wikipedia.org/wiki/General_Atomics_MQ-1_Predator#...

Aside: The speed at which AI can spit out complex diagnostics is nuts. Par is usually half a second for a dozen complex shell commands tailored to the exact problem at hand.

There's now commercially-available computers that operate using human neurons.

I figure before too long we'll be feeding our computers Pepto-Bismol and Tums.

Not for long. Picture this: a robot receives instructions on what to physically solder in order to complete the desired modification task.

However, before it can send an image back to the vision-aware LLM guiding it, the PCB lights on fire along with the robot because said LLM confidently gave the wrong instructions.

Then, the robotic fire brigade shows up and mostly walks into walls unable to navigate anywhere useful.

The future is bright.

I'm putting my money on miniature RC Incom T-47s complete with tow cables.

It should be required that as soon as firmware detects that its bipedal host has, in fact—had its legs tied up by a snow speeder—that it must proceed with a claymation-style display of panic before falling onto its face.

>... various scam niches ...

>... and much more ethical line of business than outsourcing.

Wild.

Ditto. Has me wondering why there isn't a reconciliation pass somewhere on the final output.

At least it's a decent signal for when model confidence is low.

Speaking of:

https://news.ycombinator.com/item?id=47787042

I really hope that person gets a resolution from Cloudflare that doesn't financially ruin them.

That's terrifying.

If I'm not mistaken even AWS tends to forgive instances like this, so here's hoping Cloudflare has a similar disposition.

Good luck!

Pomodoro and todo list apps are so yesterday. Now I can have my graphics card observe me as an ever-vigilant guardian of productivity.

That might sound sarcastic, but moving context between prompts and just keeping the gears turning often isn't really that cognitively engaging these days. Thus, attention suffers.

So, that's actually pretty useful.

sudo humanctl status

My use case is having Claude tear through an extremely complex Kubernetes setup, reviewing code and drafting plans.

Despite the near-instant answers, it still manages to do this effectively at a speed I can't even hope to keep up with as a human. It's reconciling concerns that easily span dozens of dimensions with each problem I give it.

The trade-off here is that you sometimes see the model make subtle errors in thinking, but they're easily recognized and corrected for when called out. I've also noticed the model will make a statement and then correct itself mid-stream, which sometimes muddles my job of reviewing its output.

Compared to competing top-tier models taking anywhere from 5-40 minutes for a sometimes impeccably-reasoned answer, there's no comparison velocity-wise. The real win is the speed at which Claude troubleshoots, though. Near-instant turns really wins here.

It's tempting to directly assume speed is proportional to quality, but we really don't know what's going on at any given provider's back-end serving configuration, nor the internal model routing configuration.