6,636 karma · joined January 17, 2014
Some fun stuff:
https://borgcloud.org/speech-to-text at $0.06/h
Roxy: iOS hands-free voice AI: https://itunes.apple.com/app/id6737482921?mt=8
Turing Test Battle Royale: https://trashtalk.borg.games
meet.hn/city/43.6534817,-79.3839347/Toronto
Socials: - linkedin.com/in/victor-msu - reddit.com/user/lostmsu - github.com/lostmsu
Interests: AI/ML, Gaming, Networking, Programming, Research, Science, Startups, Technology
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Owned in the end by the very same dentists, no?
My claim is that Google is getting unfair (in their favor) treatment is incorrect, because average Elias will also get no or next to no negative consequences making a very similar mistake on average Elias's scale.
It is a nothingburger from the fairness point as well. People knowingly and unknowingly violate a lot of permitting processes all the time and in many cases never suffer any consequences even if discovered, unless they have zealous neighbors.
An example issue: https://github.com/microsoft/terminal/issues/16363 . This exact error message with different codes happened to me across many machines at many different times. Never seen anything like that with the classic console host.
gci -F<tab> *.txt -force
In this particular case I would type the word force out but with other parameters starting with `f` I would just use <tab> until I get the right one.Does it mean dedicated inference only?
A patient checks the dentist’s bill.
- What’s this item: ‘Maybe — $800’?
- Maybe not, then, - says the dentist, crossing it out.That's because the relationship between a tool and its wielder is primarily in intelligence.
Could even envision it in some future film. E.g. when NCC-1701-N goes to warp in addition to the blur effect all the stars swell up.
cries
and Mar 2026 https://oig.usaid.gov/sites/default/files/2026-06/Special_IG...
And that's just USAID
Well, here's the thing. Kernel smoothing uses Euclidean distances. "with a particular exponential kernel function" is the novel bit. I even gave an example of what absurdity you will get if you allow arbitrary addition like this to the term.
> every assertion here is mistaken. ... Second, ..
Never made that assertion.
> Many use cases find it helpful to have a real-valued kernel function that is positive and semidefinite, or nonnegative and integrating to 1, or whatever
Yeah, that's the kernel. https://en.wikipedia.org/wiki/Kernel_(statistics). What you feed to the kernel is Euclidean distance. That's where the difference is.
> you definitely can have a kernel function that is "uniform"
You did not get that point. See response to your "First". I was explaining why the reasoning that led you to "attention == kernel smoothing" is faulty - if you apply it to averaging, you will get "averaging == kernel smoothing". Because kernel smoothing is "just" averaging with distance based weights. So attention is "just" kernel smoothing with Q-K based distance function. The issue is in both cases the part after "with " does all the heavy lifting.