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“… 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://hybridhacker.email/p/how-to-help-underperformers
Bonus: Mike Oldfield MEDLEY (Amarok|Ommadawn|TubularBells)
Diego Cebrián & Alejandro Sotomayor
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.
Local copy below
https://github.com/tin2tin/Pallaidium/
Text to video | Text to audio |
Text to speech | Text to image |
Image to image | Image to video |
Video to video | Image to text |
ControlNet | OpenPose |
ADetailer | IP Adapter Face/Style |
Canny | Illusion |
Multiple LoRAs | Segmind distilled SDXL |
Seed | Quality steps |
Frames | Word power |
Style selector | Strip power |
Batch conversion | Batch refinement of images. |
Batch upscale & refinement of movies. | Model card selector. |
Render-to-path selector. | Render finished notification. |
Model Cards | One-click install and uninstall dependencies. |
User-defined file path for generated files. | Seed and prompt added to strip name. |
https://curiousrefuge.com/blog/ai-filmmaking-tools-for-filmmakers
https://spectrum.ieee.org/chatgpt-for-coding
ChatGPT has not been exposed yet to new problems and solutions. It lacks the critical thinking skills of a human and can only address problems it has previously encountered. This could explain why it is so much better at addressing older coding problems than newer ones.
“ChatGPT may generate incorrect code because it does not understand the meaning of algorithm problems, thus, simple error feedback information is not enough,”
https://time.com/6982015/bitcoin-mining-texas-health
This study explores the adverse effects of a Bitcoin mining facility on the health and environment of Granbury, Texas. Residents report significant disturbances due to noise pollution, resulting in sever vascular circulatory issues, migraines, sleep issues, and a decrease in local wildlife. Despite efforts to mitigate noise through sound barriers, the community continues to experience reduced quality of life. The rapid expansion of Bitcoin mining in Texas, driven by favorable political conditions, underscores the need for regulatory measures to balance economic benefits with community well-being.
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