Lori Landay

@philiprosedale it has to be!

@fablesimulation So curious to try the alpha of Showrunner!

Introducing Showrunner: the Netflix of AI From our South Park AI experiment to today we’ve believed AI movies/shows are a playable medium. We just raised a round from Amazon & more and the Alpha is live today Comment for an access code to make with all our shows.

Can AI help us express what we're afraid to say? 🤫 → 🗣️ Introducing YapWrap, an AI-powered scarf that is your emotional translator. I developed this at the @medialab Labracadabra hackathon with @anku__rani, Shun-Ying (Brian) Chen, & @KuangQuinc18451. #AI #AIart

@Scobleizer Hi Robert! Haven’t muted you!

I have muted everyone in tech. I am unmuting now that I know that it hurts your reach. But only if you are following me and you leave a comment here. That way I know you haven't muted me. I will leave the rest muted because Elon said that if I bug those who have muted me, I'll be marked as a spammer and penalized. Everyone is on my lists: x.com/scobleizer/lis…

VR is changing society in places we don't talk about in public much: uploadvr.com/vr-is-changing…

@philiprosedale Figure out 12 communities/stakeholders that need to be represented or determine proportional weights for communities/groups that participate in SL for specific purposes. Ppl apply with a statement and are selected by you and your team, w one criteria that they will be amenable.

Question for SL folks about governance: If we wanted to pick 12 representative people to help us decide something super important about SL, how could we fairly choose them?

Seeing a lot of folks use VR white boxing videos or old video game footage to add whole layer of textures or style transfer from video-to-video generative AI. This one below using @aframevr. Agree with @dmarcos that it’s only a matter of time before it comes to real-time 3D.

More Life - Thaddeus Hogarth (Official Music Video) youtu.be/3k26xalWBIo?si… via @YouTube

It's time to reimagine what a political event can be. Whether you're a fan, a creator, a producer, an artist, a performer, a lover of experiences, or just curious, there is a home for you at Immersive for Kamala. Join our movement here: immersiveforkamala.com

Lucille Ball

BREAKING: The Kamala Harris-Tim Walz campaign just released their first ad highlighting who Tim Walz is and what he is about. Retweet to make sure every American knows Tim Walz and what he stands for.

I’ve just signed on to @Mozilla’s urgent call for @Meta to maintain @CrowdTangle, which is a crucial real-time transparency tool used to monitor the spread of political disinformation and hate speech. Join me: share.mozilla.org/870080098t

Alice Munro doesn't get to tell this story | Cognoscenti wbur.org/cognoscenti/20…

@BryanAlexander Bon voyage!

Heading to London.

One of the most important emergent applications of AR and allied technologies is accessibility and mobility for the blind and partially sighted @CharlieFink @CasparThykier Ben Vision, @OcutrxTech #blind #a11y #AWE2024 #vision #ar #spatialcomputing

Our pick of the week by @mgaido91: "Risks and Opportunities of Open-Source Generative AI" by @fgirbal, @casdewitt, @Adel_Bibi, @csaba_botos, @ofabro, @FazelKeshtkar, @FazlBarez, @JordiCabot, @LoirL, et al., 2024. #open #opensource #generative #generativeai #genai #ai

Gen AI is poised to transform many fields, sparking major debates over its risks & calls for tighter regulation. ❗Over-regulation could be catastrophic to open-source Gen AI. 🚀 Our paper (arxiv.org/pdf/2405.08597) argues the benefits of open-source Gen AI outweigh its risks. 🧵

@zachlieberman Yes! I was mesmerized. Amazing example of a human in the loop.

Harold Cohen at Whitney is really great

@gabrieljbaker @frame_vr Looking forward to what you do. I love FrameVR and my students want to use it to prototype their 3D environments for game and sound design bc they can do so much with it.

In the wake of Mozilla Hubs closing down, I've been reflecting on the future of @frame_vr linkedin.com/pulse/look-ahe…

Modeling the world for action by generating pixel is as wasteful and doomed to failure as the largely-abandoned idea of "analysis by synthesis". Decades ago, there was a big debate in ML about the relative advantages of generative methods vs discriminative methods for classification. Learning theorists, such as Vapnik, argued against generative methods, pointing out that training a generative modeling was a way more difficult than classification (from the sample complexity standpoint). Regardless, a whole community in computer vision was arguing that recognition should work by generating pixels from explanatory latent variables. At inference time, one would infer the configuration of latent variables that generated the observed pixels. The inference method would use optimization: e.g. use a 3D model of an object and try to find the pose parameters that reproduce the image. This never quite worked, and it was very slow. Later, some people converted to the Bayesian religion and tried to use Bayesian inference for the latent (e.g. using variational approximations and/or sampling). At some point, when Non-Parametric Bayes and Latent Dirichlet Allocation became the rage in text modeling, some folks heroically attempted to apply that to object recognition from images. >>> THIS WAS A COMPLETE AND UTTER FAILURE <<< If your goal is to train a world model for recognition or planning, using pixel-level prediction is a terrible idea. Generation happens to work for text because text is discrete with a finite number of symbols. Dealing with uncertainty in the prediction is easy in such settings. Dealing with prediction uncertainty in high-dimension continuous sensory inputs is simply intractable. That's why generative models for sensory inputs are doomed to failure.