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A lisp machine with an editor and seL4, Plan 9 goodies outperforming nvidia's ai devkit and looking just as good and scalable would be awesome to have.


This poster above has the hallmarks of a random / AI / ChatGPT / bot generator. Check out their comment and submission history.


To misquote Elon M on Twitter, dudebro, do you even a.i..


As an improvement for context, the nvidia or amd or intel or tesla ai chip could picture in an svg architecture schematic fault probability distribution and explanation in realtime without human input. Text only status pages with a little color for decoration with this much more information gets the point across quicker.


I think you are in the wrong thread.


What magnificent achievement in a ten year span has Fidelity performed like Microsoft's founding CEO sets attention focus on the valuing of Fidelity's estimate over Elon M's best guess? Prices go up and down. The more than by a half Twitter headcount bloat downsizing not many CEOs have the ability to pull off and not create insider industry enemies. Twitter could be worth $1T looking at the rate of change and improvement driven by customer feedback compared to a conventional IBM or Linux Redhat customer having Twitter's previous bloatsize and no well informed technical oversight at the highest layer in the organization capable of rocket engineering equivalent.


  https://en.wikipedia.org/wiki/Xizang
Tibetans speak in a deepchill and relax manner like surfer dudes. Sadly, people who are not well todo in Tibet burn wood to stay warm in the winter months, sourced from trees where they happen to be. Other, historically sophisticated parts of China use smokeless corn cores to burn and stay warm. Perhaps, Tibet has an unmet demand for Elon M's wall battery packs charged by solar. Luxury glass bottling the clear blue mountaneous waters is an untapped economic opportunity.


Fish in a barrel aim points for space lasers.


A book's shelf life in a premodern library is 400 years then the need to copy it to a new medium preserved the copy. Fun fact.


What the lander needed was multiple redundant readings on distance to surface and a voting system to interpret those readings. Plus, the organization's end-to-end testing campaign needed to simulate retargeted landing aim point and not just wing it off previous dissimilar tests and let the bugs creep in.


Failed to understand why Honda's Asimo went nowhere in response to Fukushima Daaichi. Honda should grow talent pool on high technical competence game changers and event breakthrus. There's likely an inverse proportion for the better the programmers the fewer are needed, as millipede to centipede to bipedal Tesla ”Optimus“ Bot extension of Exapod riding in Starship.


SpaceX has implemented last minute control of rocket launches and they land the booster rocket. Hard to see google and microsoft anywhere close to Tesla, Starlink, Twitter for AI potential even if you deliberately elide to mention SpaceX.


Certainly doesn't look as impressive as Tesla's Exapod housing. How does the first principles engineering rate comparing Tesla's Exapod to this?


Well if you want to compare them, Nvidia's has over 10x the memory and has historically sold > 1 units of their HPC products outside their company.

I'm not sure the aesthetic of what are essentially cabinets in a warehouse is that much of a consideration with HPC?


Most super computers - at least the ones I’ve visited - have some nice chrome. Their output tends to be a couple of numbers or something equally uninspiring so making them look awesome is key to funding.


If you are convincing the board to spend that sort of cash you want something photogenic.


Tesla's exapod doesn't and won't exist for the public outside of press releases, for one.


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