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IRWN — Immersion, Rinse, Warm, Notify


I did a similar one for predicting "The Onion" headlines: https://sethjano.github.io/fun-scripts/


This one’s hilarious. What was your prompt?


I think that a show like Westworld is a great example of the realities of the streaming era. If HBO kept streaming it on HBO Max it probably costs them $2-4 million in residual liabilities. HBO removed dozens of scripted shows during that phase, and had a mandate to cut around $3B in post merger costs.

After Year 1, WGA/SAG residual formulas decrease: Year 2: ~80% of Year 1 Year 3: ~55% Year 4+: sometimes stabilize at a “floor” rate

So what did they do? They ran it for a few years, ran the numbers, realized that Westworld was no longer profitable on the platform. (Profitable would have to mean draws enough new subscribers to the platform). AND THEN - Warner Bros. Discovery made new deals with other platforms with ads. I think you can still find Westworld on Tubi and other ad-supported platforms that actually pay Warner licensing fees.


often around here in texas, when the gas is turned off due to an issue, the gas company disables the meter, or even removes or bypasses it. And I live in gas land, where we have natural gas piped in to the kitchen, bathrooms, laundry, outside for grills, as well as the furnace. We've seen it a lot, if you call the gas company about smelling gas, they come and remove your gas meter until you hire a plumber to go find the leak.


What needs gas in the bathroom?!


Depending on the age of the house, it might have a gas-powered radiant heater in there. The one I grew up in did (built late 1930s).


You’ve never made s’mores while doing a #2?


as someone who's gone down the rabbit hole of dishwasher home repair, I've created more problems than I've solved. I agree that maintenance is important, but when you get into replacing the seals and gaskets that can result in water flooding into your kitchen, i decided recently to draw a line. I'm now the proud owner of some fancy leak detection / moisture detection IOS products as a result. (and yes I'm aware there are better, low tech solutions like the "frog" on the market, but I chose to torture myself instead)


Put a drop of food colour on a paper towel. Let dry. Then leave that where drips might happen. The colour will run. I leave it for a few days after every plumbing repair.


Funny, I use toilet paper and check if it gets wrinkled, but I like your method better.


Yeesh I'm starting to sound like a Bosch shill but they've had leak detection in all but their bottom rung dishwashers for a few generations. The current ones will actively pump the water out when a leak is detected.


Thanks for the tip. I added this to my audio book queue.

It's pretty interesting how today's cars come with features like remote braking and monitoring cameras, all designed to make driving less demanding for us. So as these researchers work to make vehicles less distracting, these cool features somehow end up making us even more distracted. It's an ironic cycle that leaves you more distracted, and maybe more unsafe.


I'm impressed with the desktop SDK demo video hosted by Nick. Very clever. I noticed he's using Emacs, and that got me thinking that maybe I could make a little capture template that invokes your service to transcript directly from org mode. :) - Adding this to the wood pile.


Thanks - that helped it click a bit more. If the relative ordering is correct it doesn't matter they look so compressed.


That’s not necessarily true. If the embedding model hasn’t been trained on data you care about, then similarity might be dominated by features you don’t care about. Maybe you want documents that reference pizza toppings, but the embedding similarity might actually be dominated by the tone, word complexity, and the use of em dashes as compared to your prompt. That means the relative ordering might not turn out the way you want.


I was reading somewhere that the BERT and USE style were "big-symantic space" designed to 0.0-1.0 so that things unrelated would be close to 0.0, and are classifiers.

But now, like the OpenAI embedding you're talking about the embedding are constrained, trained for retrieval in mind. The pairs are ordered closer, easier to search.


Really good analogy: Bay Networks, Lucent, Nortel, and Cisco got beat up or destroyed on the equipment side. And then the long haul fiber companies never got ROI (but paved the way for broadband).


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