https://colors.muz.li/ai-color-combination-generator

https://artvee.com/

https://opendesigndocs.com/

https://www.chrbutler.com/understanding-the-eye-mind-connection

The intricate relationship between the eyes and the brain, often termed the eye-mind connection, reveals that vision is predominantly a cognitive process. This understanding has profound implications for fields such as design, where capturing and maintaining attention is paramount. This essay delves into the nuances of visual perception, the brain’s role in interpreting visual data, and how this knowledge can be applied to effective design strategies.

This cognitive aspect of vision is evident in phenomena such as optical illusions, where the brain interprets visual information in a way that contradicts physical reality. These illusions underscore that what we “see” is not merely a direct recording of the external world but a constructed experience shaped by cognitive processes.

Understanding the cognitive nature of vision is crucial for effective design. Designers must consider how the brain processes visual information to create compelling and engaging visuals. This involves several key principles:

1. Attention and Engagement
2. Visual Hierarchy
3. Cognitive Load Management
4. Context and Meaning

https://80.lv/articles/new-project-revolutionizes-real-time-hair-rendering-with-major-time-storage-cuts/

http://cemyuksel.com/research/hairmesh_rendering/

https://llama.meta.com/

https://github.com/iperov/DeepFaceLive

https://flowgpt.com/flow-studio

https://flowgpt.com/flow-studio/MXkvETDXP9-vNYtHeHpnc?content=18b334aa-26c4-45f8-a03f-cbb31fd292a6&cursor=1641&prevCursor=1642

https://github.com/exo-explore/exo

https://www.workingtheorys.com/p/cool-self

The theory, in brief: Life is about finding your cool self and then living as much of it as you can being that person.

https://beanheads.robertbroersma.com/

https://wistlabs.com/

https://xraispotlight.substack.com/p/capture-and-relieve-your-memories

https://80.lv/articles/check-out-this-awesome-3d-model-of-medusa-made-in-blender/

https://www.pixelsham.com/2024/06/20/capturing-stereo-images-with-the-rf-s7-8mm-f4-stm-dual-and-the-canon-rf-s3-9mm-f3-5-stm-dual-fisheye-lenses-for-eos-r7/

https://kartaverse.github.io/Reactor-Docs/#/com.AndrewHazelden.KartaVR

https://github.com/Kartaverse

Kartaverse is a free open source post-production pipeline that is optimized for the immersive media sector. If you can imagine it, Kartaverse can help you create it in XR!

“Karta” is the Swedish word for map. With KartaVR you can stitch, composite, retouch, and remap any kind of panoramic video: from any projection to any projection. This provides the essential tools for 360VR, panoramic video stitching, depthmap, lightfield, and fulldome image editing workflows.

Kartaverse makes it a breeze to accessibly and affordably create content for use with virtual reality HMDs (head mounted displays) and fulldome theatres by providing ready to go scripts, templates, plugins, and command-line tools that allow you to work efficiently with XR media. The toolset works inside of Blackmagic Design’s powerful node based Fusion Studio and DaVinci Resolve Studio software.

https://www.theglobeandmail.com/opinion/article-canada-is-no-longer-one-of-the-richest-nations-on-earth-country-after/

“… the problem with Canada’s economy is not cyclical, but secular; not one of utilization, but capacity. It is not so much that growth is temporarily below potential as that potential growth has slowed to a crawl.

More to the point, the economy is now growing slower than the population, which is why per capita GDP is now falling. And it’s per capita GDP that really counts, as far as living standards are concerned.

They are no longer one of the richest countries on Earth. Among the richer countries, they are on course to being one of the poorer.

The economist Trevor Tombe has shown that Canada’s richest province, Alberta, would rank 14th among U.S. states. The poorest five provinces now rank among the six poorest jurisdictions in North America. Ontario ranks just ahead of Alabama. British Columbia is poorer than Kentucky.”

https://www.eggnog.ai/infinite

https://spaceengine.org/

https://www.thisiscolossal.com/2024/07/martin-vargic-exoplanet-infographics

https://www.halcyonmaps.com/

https://www.lummi.ai

http://mazeletter.xyz

Local copy

MazeLetter fonts zip

https://hybridhacker.email/p/how-to-help-underperformers

• Understand Performance is Systemic: Recognize that culture, systems, management, and individual traits impact performance.
• Address Underperformance Early: Use consistent feedback and the accountability dial (mention, invitation, conversation, boundary, limit).
• Provide Balanced Feedback: Reinforce, acknowledge, and correct behaviors.
• Use an Underperformance Checklist: Evaluate issues related to culture, systems, management, and individual traits.

https://pngmaker.io/

https://github.com/barakooda/3d_scene_segmentation

https://barakooda.com/2024/07/10/synthetic-data/

https://www.analyzel.com/

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Bonus: Mike Oldfield MEDLEY (Amarok|Ommadawn|TubularBells)
Diego Cebrián & Alejandro Sotomayor

https://www.onshape.com

Basic rule

• On a sunny day, set your aperture to f/16.
• The shutter speed should be the reciprocal of your ISO setting (1/iso).

For example, with an ISO of 100, the shutter speed should be 1/100 seconds.

https://www.goldmansachs.com/intelligence/pages/gs-research/gen-ai-too-much-spend-too-little-benefit/report.pdf

Tech giants and beyond are set to spend over $1tn on AI capex in coming years, with so far little to show for it. So, will this large spend ever pay off? MIT’s Daron Acemoglu and GS’ Jim Covello are skeptical, with Acemoglu seeing only limited US economic upside from AI over the next decade and Covello arguing that the technology isn’t designed to solve the complex problems that would justify the costs, which may not decline as many expect. But GS’ Joseph Briggs, Kash Rangan, and Eric Sheridan remain more optimistic about AI’s economic potential and its ability to ultimately generate returns beyond the current “picks and shovels” phase, even if AI’s “killer application” has yet to emerge. And even if it does, we explore whether the current chips shortage (with GS’ Toshiya Hari) and looming power shortage (with Cloverleaf Infrastructure’s Brian Janous) will constrain AI growth. But despite these concerns and constraints, we still see room for the AI theme to run, either because AI starts to deliver on its promise, or because bubbles take a long time to burst.

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https://github.com/tin2tin/Pallaidium/