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GoldmanSachs.com – GEN AI: TOO MUCH SPEND, TOO LITTLE BENEFIT?
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
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Pallaidium – a free and open source genAI movie studio integrated into the free Blender video editor
https://github.com/tin2tin/Pallaidium/
Features
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. 
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59 AI Filmmaking Tools For Your Workflow
https://curiousrefuge.com/blog/ai-filmmaking-tools-for-filmmakers
- Runway
- PikaLabs
- Pixverse (free)
- Haiper (free)
- Moonvalley (free)
- Morph Studio (free)
- SORA
- Google Veo
- Stable Video Diffusion (free)
- Leonardo
- Krea
- Kaiber
- Letz.AI
- Midjourney
- Ideogram
- DALL-E
- Firefly
- Stable Diffusion
- Google Imagen 3
- Polycam
- LTX Studio
- Simulon
- Elevenlabs
- Auphonic
- Adobe Enhance
- Adobe’s AI Rotoscoping
- Adobe Photoshop Generative Fill
- Canva Magic Brush
- Akool
- Topaz Labs
- Magnific.AI
- FreePik
- BigJPG
- LeiaPix
- Move AI
- Mootion
- Heygen
- Synthesia
- Chat GPT-4
- Claude 3
- Nolan AI
- Google Gemini
- Meta Llama 3
- Suno
- Udio
- Stable Audio
- Soundful
- Google MusicML
- Viggle
- SyncLabs
- Lalamu
- LensGo
- D-ID
- WonderStudio
- Cuebric
- Blockade Labs
- Chat GPT-4o
- Luma Dream Machine
- Pallaidium (free)
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Nike by Phil Schiller – The job is not done until the job is done
- Our business is change.
- We’re on offense. All the time.
- Perfect results count — not a perfect process. Break the rules: fight the law.
- This is as much about battle as about business.
- Assume nothing. Make sure people keep their promises. Push yourselves push others. Stretch the possible.
- Live off the land.
- Your job isn’t done until the job is done.
- Dangers
Bureaucracy
Personal ambition
Energy takers vs. energy givers
Knowing our weaknesses
Don’t get too many things on the platter - It won’t be pretty.
- If we do the right things we’ll make money damn near automatic.
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How Good Is ChatGPT at Coding, Really?
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,”
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Inside the Health Crisis of a Texas Bitcoin Town
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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Magnific.ai Relight – change the entire lighting of a scene
It’s a new Magnific spell that allows you to change the entire lighting of a scene and, optionally, the background with just:
1/ A prompt OR
2/ A reference image OR
3/ A light map (drawing your own lights)https://x.com/javilopen/status/1805274155065176489
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LocalSend.org – Share files to nearby devices. Free, open source, cross-platform.
https://localsend.org/
FEATURED POSTS
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Are AI startups in trouble?
Stability AI, the maker of the image generator Stable Diffusion, has been very publicly sinking. After securing more than $100 million in fundraising in 2022, the company has spent the better
part of the last year struggling to pay its bills.
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Photography basics: Shutter angle and shutter speed and motion blur
http://www.shutterangle.com/2012/cinematic-look-frame-rate-shutter-speed/
https://www.cinema5d.com/global-vs-rolling-shutter
https://www.wikihow.com/Choose-a-Camera-Shutter-Speed
Shutter is the device that controls the amount of light through a lens. Basically in general it controls the amount of time a film is exposed.
Shutter speed is how long this device is open for, which also defines motion blur… the longer it stays open the blurrier the image captured.
The number refers to the amount of light actually allowed through.As a reference, shooting at 24fps, at 180 shutter angle or 1/48th of shutter speed (0.0208 exposure time) will produce motion blur which is similar to what we perceive at naked eye
Talked of as in (shutter) angles, for historical reasons, as the original exposure mechanism was controlled through a pie shaped mirror in front of the lens.
A shutter of 180 degrees is blocking/allowing light for half circle. (half blocked, half open). 270 degrees is one quarter pie shaped, which would allow for a higher exposure time (3 quarter pie open, vs one quarter closed) 90 degrees is three quarter pie shaped, which would allow for a lower exposure (one quarter open, three quarters closed)
(more…)
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Björn Ottosson – How software gets color wrong
https://bottosson.github.io/posts/colorwrong/
Most software around us today are decent at accurately displaying colors. Processing of colors is another story unfortunately, and is often done badly.
To understand what the problem is, let’s start with an example of three ways of blending green and magenta:
- Perceptual blend – A smooth transition using a model designed to mimic human perception of color. The blending is done so that the perceived brightness and color varies smoothly and evenly.
- Linear blend – A model for blending color based on how light behaves physically. This type of blending can occur in many ways naturally, for example when colors are blended together by focus blur in a camera or when viewing a pattern of two colors at a distance.
- sRGB blend – This is how colors would normally be blended in computer software, using sRGB to represent the colors.
Let’s look at some more examples of blending of colors, to see how these problems surface more practically. The examples use strong colors since then the differences are more pronounced. This is using the same three ways of blending colors as the first example.
Instead of making it as easy as possible to work with color, most software make it unnecessarily hard, by doing image processing with representations not designed for it. Approximating the physical behavior of light with linear RGB models is one easy thing to do, but more work is needed to create image representations tailored for image processing and human perception.
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