Some of my earliest memories of Sesame Street was an orange Oscar The Grouch. I’ve argued with people on an off that Oscar was originally Orange, but few believed me. I’m keeping a copy of this on my phone for the next time.

The problem with generative AI, in the industry’s own jargon, is that it does not scale. The cost of growing from, say, a thousand users to a million is a key factor that venture capitalists examine when they evaluate start-ups. They want to see that the cost of adding each new user decreases over time, so that the company can support millions of users and make increasing profits. This is achieved partly through the careful engineering of computer systems that can efficiently handle more users who want to post photos, hail Ubers, or stream music.

With generative AI, the work of building efficient, scalable systems has not been done. And the problem is exacerbated by the ever-larger generative-AI models, which have grown from 175 billion parameters in 2020 to more than 1 trillion today, according to independent estimates (the actual sizes of the models powering products such as Claude and ChatGPT are secret). The large in large language model should not be a selling point. But the industry’s observation that bigger models tend to outperform smaller ones has given rise to a totemic belief in “scaling laws” that suggest any problem can be solved by simply making models bigger. “Maybe with 10 gigawatts of compute, AI can figure out how to cure cancer,” OpenAI CEO Sam Altman wrote on his blog in September.

Yet the returns are diminishing. The bigger an AI model is, the less it improves with each added parameter, and so it must be made bigger at a faster rate just to sustain steady progress. I asked a few AI researchers whether they could name any other real-world software that scales so poorly. None of them could think of any. Even outside the world of software, it’s hard to find a comparable example, given that economy of scale is the principle that has made light bulbs, cars, and clothing so affordable. By economic and engineering measures, generative AI might be the worst technology ever deployed

One approach per the article:

Approach 1: DNS block (trivial, effective for network-routed devices):

proxyjs.brdtnet.com
proxyjs.luminatinet.com
proxyjs.bright-sdk.com
clientsdk.bright-sdk.com
clientsdk.brdtnet.com

$wall removed: https://removepaywalls.com/...

Pushing Daisies

Well Batman, Bruce Wayne, is the owner of Wayne Enterprises. That entity develops his technologies and, presumably, ships and handles the logistics of delivery. WE’s Operations Head is Lucius Fox, who knows of Bruce’s Batman identity.

Since Batman’s lair is built on the private Wayne estate in an unknown cavern complex, presumably Bruce and Lucius have been able to misdirect public records for the shipment and inventory of the Batcave equipment.

This is my life now…

M.U.L.E.

A fire? At a Water Park?

Nah. There are plenty of small sailboats with lightweight trailers that are a blast.

One of my favorites:

https://en.wikipedia.org/...

This little guy MOVES and is a ton of fun.

Ah yes. The Archons were wonderful as well! EA back then makes me sad for what EA became.

Mom, Dad, don’t touch it! It’s evil!