Readit Newscongoe commented on Third-Party RISC-V Framework Laptop Mainboard frame.work/de/de/blog/int... · Posted by u/congoe
Also discussed at https://www.youtube.com/watch?v=iMwepyyaj8I
congoe commented on Video: Doom Running on Gut Bacteria engadget.com/heres-a-vide... · Posted by u/yboris
Interesting but the title feels a little misleading because after reading the article, I realized that it wasn’t actually running doom.
The article is simply wrong:
> An MIT biotech researcher has been able to run the iconic computer game Doom using actual gut bacteria. Lauren Ramlan didn’t get the game going on a digital simulation of bacteria, but turned actual bacteria into pixels to display the 30-year-old FPS, as reported by Rock Paper Shotgun.
The cited Rock Paper Shotgun article doesn't support this though:
> It’s worth noting that Ramlan herself points out that “running” Doom using the cells would be an enormous undertaking due to their extremely limited ability. What she did manage to successfully do, however, is simulate using the wall of cells as a display for Doom by rendering gameplay using the illuminated E. coli.
congoe commented on Video: Doom Running on Gut Bacteria engadget.com/heres-a-vide... · Posted by u/yboris
The authors writeup can be found here (https://docs.google.com/document/d/1SFm1dS6myqq7psBKttP7CVYN...) and her explanatory video here (https://www.youtube.com/watch?v=8DnoOOgYxck). However, it appears to be only a simulation, not physically running Doom on E.coli
Any recommendations on which binary format to use when I want to store all the DataFrames to disk in order to load them at a later point? My data as an indented JSON file takes up around 800 MB.
Parquet works well as it natively support Apache Arrow, the underlying data structure.
What's surprising is that anyone would've expected an AI to come up with a brand-new algorithm with better complexity than pre-exsiting human-made solutions.
How could it possibly come up with something better when it doesn't even understand how the original authors of qsort/mergesort/etc came up with their own..
Sure, it's great PR for the company, but.. the results just aren't there.
How could AlphaZero possibly play better chess than humans when it doesn’t even understand the history of chess theory?
RL doesn’t stop at human levels
Why one way but not the other - just that pouring power onto the grid requires cooperation but producing hydrogen doesn't, or is there something more fundamental at play?
The fundamental principle would be that enzymes have an comparative advantage when utilising and producing complex organic molecules as fuel for hydrogen production (such as glucose in wastewater) while inorganic catalysts are cheaper, more stable but limited to simple reactions
If the enzyme is produced by genetically altered microbes like bacteria or yeast, wouldn't that make it practically useful on some scale?
Yes, that drives cost down but even on the biggest scale, like insulin, enzymes are still orders of magnitude more expensive than inorganic catalysts (e.g. platinum for hydrogen fuel cells)
Ever since attending the advanced database lecture of Thomas Neumann at TU Munich, who wrote Umbra, the academic predecessor of CedarDB, I've been looking forward to everyone getting their hands on it!
I believe Cedar will enable tons of projects and companies to simplify their data stack because it can basically handle everything at once (until reaching very significant scale).