They are hiding mobile Flock Cameras now
Video Source:
#surveillance
This styropro video with triboelectric light effects in a vacuum is very very very neat:
https://www.youtube.com/watch?v=0Y-9GbsS9Fg
Can neurons speak? Semantic narration of vision at single-cell resolution https://arxiv.org/abs/2606.18667
Ah yes, DHH is certainly who we should look towards for how to govern the NixOS foundation. /s
This blog post is the wildest shit I had to read in a while.
https://fzakaria.com/2026/07/18/how-to-piss-off-your-nix-friends
Sources: some WaPo staff question Adam O'Neal's and Jeff Bezos' effort to embrace video for WaPo's opinion offerings, including $80K in new video equipment (Natalie Korach/Status)
https://www.status.news/p/washington-post-opinion-video-adam-oneal…
Allt du velat veta kring fröoljor, omega-6 och ration mellan omega-6 och omega-3. Tillsammans med en rad roliga klipp, bland annat vuxna män som skriker på grönsaker.
Vad säger forskningen om fröoljor och omega-6? https://www.youtube.com/watch?v=h3wJRF8doCM&t=173s
Ao contršrio da maioria, estou torcendo pro #Neymar ser convocado. Esta seleção jš estš uma bosta de qualquer jeito e sem dúvida vai fazer vexame. Então vai ser divertido ter alguém pra xingar, ressuscitar os memes dele rolando pelo campo e etc rs.
Eccentricity-Constrained CNN Training Reveals Adaptive Information Coding Around the Visual Field
Dylan M. Diaz, Margaret M. Henderson
https://arxiv.org/abs/2607.19316 https://arxiv.org/pdf/2607.19316 https://arxiv.org/html/2607.19316
arXiv:2607.19316v1 Announce Type: new
Abstract: In the primate visual system, center-preferring cortical populations have higher spatial resolution and overlap face- and word-selective regions while periphery-preferring populations have lower spatial resolution and overlap scene-selective regions. This "eccentricity bias" may reflect differential task-relevance: central vision may better support fine-grained tasks like face recognition and reading, while peripheral vision may better support scene understanding. To test whether eccentricity-dependent coding can emerge from natural experience, we used egocentric video and eye-tracking data from the Visual Experience Dataset (VEDB). We trained ResNet-18 models using contrastive learning (SimCLR) on frames modified to isolate different eccentricities (gaze-contingent fovea-only crops, periphery-only crops, and periphery-only crops with a NeuroFovea transform applied). We evaluated downstream task performance and model alignment with human fMRI data (Natural Scenes Dataset; encoding models). In-domain VEDB frame classification showed systematic differences between fovea- and periphery-only models across categories, indicating differential informativeness across tasks. On downstream classification, VEDB-pretrained models generalized better to scene categorization (Places365) than face recognition (VGGFace2), with fovea-only models stronger on both. Across visual cortex, VEDB-pretrained models matched neural predictivity of models trained on mid-sized non-egocentric datasets (ImageNet-100), suggesting egocentric data supports emergence of cortically-aligned representations. In scene-selective cortex (PPA, RSC), periphery-only models held a small but consistent advantage in explained variance over fovea-only models, suggesting these regions are aligned with peripheral statistics. Together, these results suggest egocentric experience may adaptively constrain cortical information processing.
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It's now well over 2 months after the third blind person received an ICVP brain implant for restoring vision. How is she doing? Here are video clips of ICVP recipient Chyvonne Wilson Blanchard in her first days of training https://www.facebook.com/chyvonne.blanchard/owner_reels
Visual-to-auditory sensory substitution may be the supplemental "glue" needed to make brain implants for restoring vision shine: textures and shading, undistorted visual feedback, fill-in for failing electrodes, etc https://www.artificialvision.com/neuralink.htm