I wrote a compute platform where folks can use their MCP to launch compute needs onto my servers via webassembly
... or even via traditional container if need be
looking forward to a public launch days away
662 karma · joined November 26, 2013
scottstensland at gmail dot you know what
https://github.com/scottstensland
[ my public key: https://keybase.io/infinitenow; my proof: https://keybase.io/infinitenow/sigs/0nmQYD8ZqScTjAXJbdnKILm4zlBRMq9mtnifI6HmMbM ]
... or even via traditional container if need be
looking forward to a public launch days away
obviously if the model was trained to know to avoid the internet at large none of this would be allowed
... two pairs of V3 in a Bentley
haters dumping on Musk rn are running scared so expect ongoing hit pieces ... that Wired article is tat ... Buckle up and be prepared to hear devastating reveals from DOGE soon
take a time series dataset like an audio file or stock ticker price over time ... give your self a healthy period of time ... for example a second of broadcast quality audio gives you 44,100 data points spread across that time period stored as information ... importantly this time series audio curve wobbles up and down as it's recorded over time ... in order to justify taking 44,100 audio samples per second (on the X axis) you must balance that by breaking up the granularity of your measurement of the up and down wobble (Y axis) by devoting two bytes (a bit depth of 16 bits) of memory storage per data point which gives you 2 raised to the 16 power distinct gradations of resolution
above defines the time domain representation of the one second of audio data ... now feed this dataset into a Fourier transform which will output the same information you started with but now in the frequency domain ... it will give you not 44,100 points in time but instead 44,100 distinct frequencies ... super cool side note you can feed this new frequency domain representation of the dataset into an inverse Fourier transform to rescue back the original time series audio
If instead of a second of audio we start with a fraction of that number this reduction of recording duration will compromise the frequency resolution of the data in the frequency domain giving it less granularity hence larger increments to the next frequency
Why? craft software to grow the organism in a biologically plausible manner in simulation from the digital DNA... then expose evolutionary pressure to this growth to evolve the DNA in simulation into a more value added organism
real organism --> sequence it's DNA into digital DNA --> evolve the DNA in simulation software --> output real DNA from digital DNA --> insert this evolved real DNA into a real cell to clone an organism now with enhanced attributes