Despite embracing technology, the “Blade Runner” and “Alien” director has long incorporated the fear of AI in his stories onscreen and knows better than most about its ramifications. Scott previously told Rolling Stone in November 2023 that when it came to his concerns about artificial intelligence broadly, he said that AI was “dangerous” and akin to a “technical hydrogen bomb.”
The expanding economic impact of AI, highlights a significant gap between AI infrastructure investments and actual revenue generation. Despite easing GPU shortages and increased investments by cloud providers, AI-related revenue, particularly dominated by OpenAI, remains insufficient to justify the massive capital expenditures. The analysis reveals that this gap has grown from $125 billion to $500 billion, posing challenges for the AI industry while emphasizing the need for realistic expectations and sustainable value creation.
OpenAI training and inference costs could reach $7bn for 2024, AI startup set to lose $5bn – report
The power of AI will transform every facet of our society, from the micro changes in our day-to-day lives to the macro changes in global geopolitics. It will challenge our values and assumptions and make us reconsider what it means to be human. It is inevitable that some capital will be wasted getting there. We may even experience a bubble or two. But this is part of the growing pains of advancing humankind. Society, like our individual lives, seldom take the shortest route. As to the argument that we are in a bubble right now, we think it deserves some reconsidering.
The article advocates for employee ownership of companies, using Central States Manufacturing as a model. The company, owned by its employees through an Employee Stock Ownership Plan (ESOP), demonstrates how such structures can create significant wealth for workers across all levels, improve long-term company performance, and reduce wealth inequality. Employee ownership aligns worker and company interests, leading to sustainable growth and better employee benefits. The article highlights the benefits of ESOPs and calls for broader adoption and awareness of such models.
5.10 of this tool includes excellent tools to clean up cr2 and cr3 used on set to support HDRI processing.
Converting raw to AcesCG 32 bit tiffs with metadata.
The dynamic range is a ratio between the maximum and minimum values of a physical measurement. Its definition depends on what the dynamic range refers to.
For a scene: Dynamic range is the ratio between the brightest and darkest parts of the scene.
For a camera: Dynamic range is the ratio of saturation to noise. More specifically, the ratio of the intensity that just saturates the camera to the intensity that just lifts the camera response one standard deviation above camera noise.
For a display: Dynamic range is the ratio between the maximum and minimum intensities emitted from the screen.
The Dynamic Range of real-world scenes can be quite high — ratios of 100,000:1 are common in the natural world. An HDR (High Dynamic Range) image stores pixel values that span the whole tonal range of real-world scenes. Therefore, an HDR image is encoded in a format that allows the largest range of values, e.g. floating-point values stored with 32 bits per color channel. Another characteristics of an HDR image is that it stores linear values. This means that the value of a pixel from an HDR image is proportional to the amount of light measured by the camera.
For TVs HDR is great, but it’s not the only new TV feature worth discussing.
