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The majority of these hidden truths are due to senior engineering management in their 40s and 50s who have not coded in decades, and yet pick up the latest trend or fashion and impose that on their teams.

The monolith to microservices trend was one great example of this.


Is SEO basically the same as GEO?

How is it that we always come back to coding in terms of model capabilities?

Agreed - Really surprising this article didn't cover the flip side - how many lives have been saved due to having an instant source of truth in your pocket.

"Source of truth." Right, that reminds me of the other issue exacerbated by AI: widespread media illiteracy. (Apologies if that was the joke, can't tell anymore).

It's way harder to track and doesn't sell ads all that well. Clicks are driven by fear and anger.

Also, it would like to have a word with you about the Boer.

Source of "truth".

We manufacture cast basalt that's used in applications that have a lot of wear and tear. This is pretty cool to see another application of basalt!


Rocks (of any type" and "wear and tear" don't really go together in my mind. Is this something on the order of jewel bushings in low speed mechanical clockwork?

I can't think of a lot of applications where I'd want any sort of rock as my bearing material but maybe I'm thinking too big.


Not bearings, this is "wear and tear" as in abrasion resistance. Cast basalt is used to create abrasion resistant pipes and flooring.


Yeah, stainless steel pipes are used to carry ash slurry away from thermal power plants (especially in China and India). Cast basalt lining increases the lifetime of the pipes by reducing abrasion.

In the original article, "wear and tear" refers to chemical/corrosion resistance.

Considering the reactivity of most textiles compared to something like glass, I would imagine this has tons of utility anywhere you might need a textile in a chemical application.


The writing was on the wall when Zuck hired Wang. That combined with LeCun's bearish sentiment on LLMs led to this.


Pretty cool to see an LLM-agnostic memory layer emerging!


Just spent an hour trying to figure out how to create a waterfall chart. ChatGPT's python interpreter failed.

If this works right, this could be a game changer.


https://chatgpt.com/share/69005eec-6ee0-8009-a8d3-ebb1c30e72...

took me four prompts to do generate a waterfall chart using d3 js because it didn't want to run it. obviously with real numbers and not generated data, you'd need to check the results thoroughly.


Yeah I found it as clear engagement bait - however, it is interesting and helpful in certain cases.


Love this kind of stuff on HN


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