Can someone please make it look like they're light sabres though?
(No disrespect to the sport - it's already awesome! I just want to be able to see the entire sabre and not just the tip...)
Any idea of the veracity of the reports about Microsoft developers being forced to use copilot even though they don't seem to want to?
Youtube comment: @ScotClose • 3 hours ago I'm disappointed that you blocked me on Bluesky for trying to bring some real skepticism to this topic after you strongly implied that Platner is a Nazi and ridiculed people for asking for evidence. If you're only a skeptic about topics you disagree with, are you really a skeptic? Reply 0 replies ^ Graham Platner is an Embarrassing Liar WE @RebeccaWatson • O seconds ago I'm not shocked that a man who openly defends an obvious liar with a Nazi tattoo is also apoplectic that the woman he was yelling at opted out of a conversation with him. This is psychotic behavior and you should see a therapist.
PSA: never in the history of humanity has a woman cut a man out of her life for being insane and then changed her opinion of him after he found other methods to contact her.
Cheers from Sunny Coast
The answer to these sorts of questions seems obvious to me, so maybe I'm missing something: the reason these new tools can do this is because /people/ invented the way to solve these problems, and then shared their solutions.
IMO, let's ignore LLMs, and teach philosophy first.
I spent way too long to find that gif of Bill and Ted at the end of the original, where you seem them playing for the first time, and George Carlin looks into the camera and says something like, "They did get better..."
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Oh, yes, my model does behave differently according to the noise (internal vs external). It’s just a modified version of W&S so it does mostly the same thing regarding internal/external noise and repulsive/attractive biases.
4) I think that’s a powerful insight that helps to model perceptual decisions across a range of conditions. 5) “Optimality” depends on a goal, and that’s hard to work out because we can’t travel back into our evolutionary past…
Thanks mate. 1) They look relatively unsurprising, basically asymmetric von mises. 2) in the figure, possibly, but they don’t need to be smoothed if I sample the space more than in the figure. 3) As you’d expect, because of the fisher information.
It’s correlational. I’m open to there being some causal relationship, but those experiments haven’t been done, I don’t think.
This is great! Incredible attention to detailing all kinds of neat optical distortions you'd get from a submerged POV. #visionscience
But how do you think they are showing "mediation"? To me, that's a specific statistical analysis that controls for variance in a particular way. What I see is that reports show some model analysis result of activity in V1 that correlates-ish with behaviour.
Another YT Short with an analog #visionscience demo - this time it's Akiyoshi Kitaoka's wiggly version of the Footsteps illusion! Lots of fun making the paper-and-tape version of this one look it's best (at least w/ my skill set) on camera. Enjoy! youtube.com/shorts/1af1r...
So cool.
So jealous - he seems like such a cool guy and I love every character he's played even when the movies are shit.
In general, my thought that is many of these results would be the same if WM was truly encoded in any area beyond V1, provided the WM area had reciprocal connections to V1, which is probably the case for most brain areas.
I'll have to put this on my reading list, which sadly means I may never get to it :(
This is a cool paper that I hadn't seen - thanks for sharing. I can't see good evidence for your summary. Are you referring to the data presented in Figure 7?
Maybe to help clarify my position: I don't doubt that some WM properties can be decoded from V1. Does V1 causally maintain WM?
It's been years since I read this paper in detail, but isn't the main result that they can decode both the remembered stimulus and a distracting visual stimulus at the same time? Just because there's a WM correlate in V1 doesn't mean that's the causal area for WM.
Yes, that's a great paper, and one of the last few I read before I my thinking moved away from sensory recruitment. However, like many other results, these results are consistent with many alternative hypotheses that'd need be ruled out before we could confirm sensory recruitment.
It’s still not clear to me how good the evidence is for that, but havent really being paying attention to the literature for the past few years. Are there any recent studies you can point to that present evidence for sensory recruitment?
bsky.app/profile/will...
I have a generative model of visual imagery with neural loops. It recapitulates individual differences in visual imaging abilities, results in differing effects for simple stimuli (Gabor) versus complex stimuli (faces), and can invoke "nonvisual imagery". But I can't be bothered writing it up...
The length of these axons is the coolest thing I've seen in a while.
Does anyone know if the SVRHM (Shared Visual Representations in Humans and Machines) satellite will be coming to Sydney with NeurIPS this December?
I can't find any info about it so I'm assuming not, but that would be a great shame!
GastroPy is now out in early beta! Please to share our Python toolbox for electrogastrography and stomach-brain coupling analyses. It includes tools for cleaning, visualising, and analysing EGG data, plus fMRI stomach-brain coupling workflows. Docs, code, and preprint below. osf.io/preprints/ps...
3/6 We inserted replay in various densities in the control resting state - this way we could determine TDLM's sensitivity. To our surprise, more than 80 replay events per minute (A->B transitions), were necessary to find an effect! Far beyond biologically plausible rates (cf. ripple density).
This is such a cool idea and result. Have you considered comparing external-criteria driven vs internal-criteria driven CPP? (Sorry if this is exactly what’s in the paper -
I’ve only read your thread so far!)
No one else in existence has ever known what it's like to be so far away from beer.