jeffhykin

joined 2 years ago
[โ€“] [email protected] 3 points 1 week ago* (last edited 1 week ago) (1 children)

less than 5% of Americans support using economic strong-arming, and less than 1% support military force for Greenland or Canada (source below). Annexing is overwhelming unpopular for both conservatives and liberals. The people, including people in the military, will revolt if Trump uses force to annex any country. And the people of Canada and Greenland have made it very very clear: force will be necessary.

No comment from me about the rest. Expectations can be bad but keep them in check.

https://angusreid.org/canada-51st-state-trump/

 

Reminds me a bit of prolog with the query system

[โ€“] [email protected] 2 points 3 weeks ago

Fair enough ๐Ÿ˜ but think of the portability

7
submitted 3 weeks ago* (last edited 3 weeks ago) by [email protected] to c/[email protected]
 

I know you guys build some pretty nice boards, but I think this is the most elegant one I've seen yet. (I'd post the image but my host lemm.ee doesn't support it)

[โ€“] [email protected] 4 points 4 weeks ago* (last edited 4 weeks ago) (1 children)

My guess, 10,000x the cost on CL1. Even with the tech perfected, bio neurons fire much much slower than logic gates and electricity in a circuit board. If you have an ASIC (custom built board that isn't really using a CPU), the ASIC would be much much faster for deterministic calculations at high speed with an active cooling system.

Bio neurons are great at self-organizing. If you already know how they need to be organized (e.g. a hashing algorithm), and you need max-speed output there's no real advantage.

It's not wrong to say bio neurons are power efficient, its just that power efficiency depends on what the activity is.

[โ€“] [email protected] 3 points 4 weeks ago* (last edited 4 weeks ago)

Don't worry all neurons are cage free, grass fed, open range

For real though, where the neurons come from is as interesting/impressive as the computation itself. The guys at Cortical, at least in prototyping, give blood samples, revert blood cells into a stem cell state, and then (over the course of 6 months) they convert their stem cells into neurons before putting them into a dish. (To be clear, Cortical did not invent the stem cell tech at all. Apparently its standard practice and nobody in the bio engineering world cared to tell the rest of the world.)

Meaning... You could theoretically build a computer out of your own neurons and then program them.

[โ€“] [email protected] 3 points 4 weeks ago

The neurons in the machine (or at least the prototypes idk about every CL1) are neurons from the lab lead (Hans). And he has given consent ๐Ÿ˜

[โ€“] [email protected] 5 points 4 weeks ago

I'll ask them, I happen to see them in a zoom meeting occasionally.

I very very very much doubt its a new machine, however you might need to send your machine back to get it refilled as I imagine there is a precise integration between bio neurons and electrical hardware.

[โ€“] [email protected] 6 points 4 weeks ago (1 children)

You actually legit feed it snacks haha. There's a nutrient mixture/sludge to keep them alive.

 

This from the same guys who got neurons in a petri dish to successfully play pong. The CL1 is a box with biological neurons inside that can be controlled and programmed with an API. They've been working on this for quite a while and just made their first public release.

Its expected the CL1 will be extremely helpful for researching Alzheimer's and other neurological based disorders, including neuron response to medicine for faster drug testing.

[โ€“] [email protected] 3 points 1 month ago

Sounds good. Given its creeky all over the place, I'll probably try mapping out the joists first. I'll (hopefully) post an update after my attempt.

Thanks for the advice!

[โ€“] [email protected] 2 points 1 month ago (1 children)
[โ€“] [email protected] 2 points 1 month ago

Yeah I'd say that'd be pretty tough with carpet

 

I've got creeky floors under carpet (relatively new building). I don't own the place but the creeks and squeaks bother the hell out of me at night when I'm trying to not wake up the pup.

Didn't see any particularly useful advice online so any thoughts are appreciated.

[โ€“] [email protected] 5 points 1 month ago* (last edited 1 month ago) (1 children)

For a post that sparks good answers that I'm happy to see, I'm sad to see the post itself have so many down votes.

3
submitted 4 months ago* (last edited 4 months ago) by [email protected] to c/[email protected]
 

I didn't know anything about Bhutan before reading this, so it sounded fairly Solarpunk to me. I'm hopeful for their new city.

 

While I'm particularly looking for chords (ex: if jkl; are all keydown at the same time then send the space keypress) I'd be happy to hear about your keymapping approach in general. E.g. how do you organize your layers, have you needed to custom compile anything, mapping choices you regret but are too hard to change now, etc.

I got my first ergomech board recently. I've got the background to flash the board manually and code everything in C. But before I go down that very deep rabbit hole, I wanted to see if what others had done/learned.

Personally I'm not planning to go full asetniop with cords. I think I just want a handful of chords to go along with layers.

 

Fingerprinting isn't always possible to defeat, and its not always possible to avoid making accounts (work and school accounts)

However, it should be possible to fill up tracked data with meaningless garbage and reduce the signal-to-noise ratio. Ex: a bot that browses random products on amazon to reduce profiling accuracy.

Do you guys know of any tools that do this? Anything from browser extensions to command line scripts, to anonymous group-accounts.

 

(From the IPFS Discord) Hello @everyone! ๐Ÿฅ drum roll... ๐Ÿฅ

We're excited to be announcing the formation of the **Ecosystem Working Group! **

We believe this working group and its autonomy will be critical in helping propel IPFS toward a better and even brighter future.

Read all about it on the IPFS blog

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