sleepytimetea

Across the global volume of 185 million to 220 million laptops per year, where manufacturers were putting in 16GB RAM for the past decade (or longer), we really need 128GB to run local inference for the AI-centric world of the future, so that is an additional 112 GB per laptop - this creates an annual shortfall of 20.72 to 24.64 billion gigabytes (20.72 to 24.64 Exabytes) of DRAM. Just for laptops alone, ignoring the desktop or server or cloud or other markets.

Manufacturing supply is going to take 5 years to catch up. Buy memory stocks (MU/SKHynix) - they will be multiple of their current prices in 5 years.

Can someone point to a mirror of this X link ? It wants me to install the app to read something that I could/should be able to read using my browser.

Very nice...the maritime vessels view seems very sparsely populated...especially in the Strait of Hormuz.

It doesn't work on the GVB Amsterdam local trains or trams...just the NS trains. There are some routes within Amsterdam that have NS trains paralleling GVB trains, might help save money on those.

I like the term "compute famine" - it appears that all AI infrastructure is maxed out globally.

8 GB is not enough...even the $699 model has only 8 GB.

I like this format and I also like irreverent humor like the BOFH chronicles... can I submit content for consideration in the next issue ?

And here I am, stuck with only cable modem connectivity.

Website blocked as a threat/unsafe domain.

Imagine if the walls were thin resonant panels and every time the Captain says "make it so" it will reverberate and sound like a commandment from God !

I love how they have documented the wall coverings from all the TNG episodes in minute detail.

They just pushed a new redesigned page for pull request diffs- must have bloated the DOM.

I know someone who didn't get the lottery for 3 consecutive years.

I agree - we need a large example not the toy examples of NeoPixels chained together. Also, in the Github module library, I found only ESP32-C3 modules but the hobbyists use ESP8266 and ESP32 and ESP12-E as well as STM dev modules...I suppose its one of those things where contributors will help populate the library but I don't see instructions on how to build all the artifacts I see in the library - there are atleast 12 artifacts for each module...