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a blog of links related to computer animation and production technology Sponsored by ReelMatters.com
Year: 2024
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Devon Stork from Asimov Press – Why Nothing Can Grow on Mars
https://www.asimov.press/p/grow-mars
### Environmental Challenges and Solutions
**Extreme Temperatures:**
– **Challenge:** Mars experiences drastic temperature fluctuations, often dropping below -80 degrees Fahrenheit at night.
– **Solution:** Developing advanced insulation and heating systems for greenhouses to maintain a stable temperature suitable for plant growth.**High Radiation Levels:**
– **Challenge:** Mars lacks a protective magnetic field, exposing the surface to harmful cosmic radiation.
– **Solution:** Building underground or shielded habitats and greenhouses using materials that block or absorb radiation to protect both plants and humans.**Lack of Liquid Water:**
– **Challenge:** Water on Mars is mostly found as ice, with very little liquid water available.
– **Solution:** Melting ice deposits using solar or nuclear energy and developing efficient water recycling systems to provide a consistent water supply for agriculture.### Technological Challenges and Solutions
**Soil Quality:**
– **Challenge:** Martian soil lacks the organic nutrients necessary for plant growth and may contain toxic compounds like perchlorates.
– **Solution:** Creating artificial soil by mixing Martian regolith with organic matter from Earth and employing bioremediation techniques to neutralize toxins.**Atmospheric Conditions:**
– **Challenge:** Mars’ thin atmosphere is composed mainly of carbon dioxide, with very low pressure.
– **Solution:** Utilizing pressurized greenhouses enriched with oxygen and maintaining an Earth-like atmosphere to support plant respiration and growth.**Energy Supply:**
– **Challenge:** Providing a reliable and sufficient energy source for all agricultural and habitat needs.
– **Solution:** Harnessing solar energy through large solar panel arrays and exploring nuclear energy options for continuous power supply.### Legal Challenges and Solutions
**Space Treaties and Regulations:**
– **Challenge:** Current international space law, primarily governed by the Outer Space Treaty, lacks detailed regulations on the use of extraterrestrial resources.
– **Solution:** Developing new international agreements and frameworks to address resource use, property rights, and environmental protection on Mars.**Property Rights:**
– **Challenge:** Establishing clear property rights for land and resources on Mars to prevent conflicts and ensure fair usage.
– **Solution:** Creating an international governing body to manage and regulate the allocation of Martian land and resources.**Environmental Protection:**
– **Challenge:** Ensuring that Mars’ environment is not irreparably damaged by human activities.
– **Solution:** Implementing strict environmental guidelines and sustainability practices to minimize the ecological footprint of Mars colonization. -
Johnny Grilo – What is the role of the VFX Supervisors and what are their responsibilities in a production pipeline?
The role of a VFX Supervisor in filmmaking is multifaceted, encompassing pre-production planning, budgeting, team management, on-set supervision, and post-production oversight. They collaborate with directors to understand the creative vision, plan VFX sequences, and ensure seamless integration of digital elements. Their responsibilities include guiding actors, capturing on-set references, maintaining quality control, and overseeing the final VFX integration during post-production. Effective documentation and reporting throughout the process are crucial for successful project completion.
Full breakdown here: https://squarezeroone.wixsite.com/home/post/the-vital-role-of-the-vfx-supervisor-in-filmmaking
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Anthropic releases a new free Claude 3.5 Sonnet AI model
https://www.theverge.com/2024/6/20/24181961/anthropic-claude-35-sonnet-model-ai-launch
https://www.anthropic.com/claude
https://time.com/6990386/anthropic-dario-amodei-interview/
https://github.com/anthropics/anthropic-quickstarts
Dario Amodei, CEO of Anthropic, envisions a future where AI systems are not only powerful but also aligned with human values. After leaving OpenAI, Amodei co-founded Anthropic to tackle the safety challenges of AI, aiming to create systems that are both intelligent and ethical. One of the key methods Anthropic employs is “Constitutional AI,” a training approach that instills AI models with a set of core principles derived from universally accepted documents like the United Nations Declaration of Human Rights.
https://apps.apple.com/us/app/claude-by-anthropic/id6473753684
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GaiaNet – Install and run your own local and decentralized free AI agent service
https://github.com/GaiaNet-AI/gaianet-node
GaiaNet is a decentralized computing infrastructure that enables everyone to create, deploy, scale, and monetize their own AI agents that reflect their styles, values, knowledge, and expertise. It allows individuals and businesses to create AI agents. Each GaiaNet node provides
- a web-based chatbot UI.
- an OpenAI compatible API. See how to use a GaiaNet node as a drop-in OpenAI replacement in your favorite AI agent app.
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LARS – An application that enables you to run LLMs locally on your device
https://github.com/abgulati/LARS
This grounding helps increase accuracy and reduce the common issue of AI-generated inaccuracies or “hallucinations.” This technique is commonly known as “Retrieval Augmented Generation”, or RAG.
LARS aims to be the ultimate open-source RAG-centric LLM application. Towards this end, LARS takes the concept of RAG much further by adding detailed citations to every response, supplying you with specific document names, page numbers, text-highlighting, and images relevant to your question, and even presenting a document reader right within the response window. While all the citations are not always present for every response, the idea is to have at least some combination of citations brought up for every RAG response and that’s generally found to be the case.
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Chinese’s DeepSeek-Coder-V2 – Breaking the Barrier of Closed-Source Models in open source Code Intelligence
An open-source Mixture-of-Experts (MoE) code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks. Specifically, DeepSeek-Coder-V2 is further pre-trained from an intermediate checkpoint of DeepSeek-V2 with additional 6 trillion tokens. Through this continued pre-training, DeepSeek-Coder-V2 substantially enhances the coding and mathematical reasoning capabilities of DeepSeek-V2, while maintaining comparable performance in general language tasks. Compared to DeepSeek-Coder-33B, DeepSeek-Coder-V2 demonstrates significant advancements in various aspects of code-related tasks, as well as reasoning and general capabilities. Additionally, DeepSeek-Coder-V2 expands its support for programming languages from 86 to 338, while extending the context length from 16K to 128K.
https://github.com/deepseek-ai/DeepSeek-Coder-V2
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TDK claims insane energy density in solid-state battery breakthrough
The new material provides an energy density—the amount that can be squeezed into a given space—of 1,000 watt-hours per liter, which is about 100 times greater than TDK’s current battery in mass production.
TDK has 50 to 60 percent global market share in the small-capacity batteries that power smartphones and is targeting leadership in the medium-capacity market, which includes energy storage devices and larger electronics such as drones.
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Wanderson M. Pimenta – Denoiser Comp Addon – FREE DOWNLOAD – BLENDER TO NUKE/DAVINCI SUPPORT
https://blender-addons.gumroad.com/l/denoiser_comp_addon
Blender 3 updated Intel® Open Image Denoise to version 1.4.2 which improved many artifacts in render, even separating into passes, but still loses a lot of definition when used in standard mode, DENOISER COMP separates passes and applies denoiser only in the selected passes and generates the final pass (beauty) keeping much more definition as can be seen in the videos.
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RTG-SLAM: Real-time 3D Reconstruction at Scale Using Gaussian Splatting
https://gapszju.github.io/RTG-SLAM/
https://github.com/MisEty/RTG-SLAM
https://gapszju.github.io/RTG-SLAM/static/pdfs/RTG-SLAM_arxiv.pdf
A Real-time Gaussian SLAM (RTG-SLAM), a real-time 3D reconstruction system with an RGBD camera for large-scale environments using Gaussian splatting.
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Runway – Introducing Gen-3 Alpha. Gen3, a new frontier for high-fidelity, controllable video generation.
https://runwayml.com/blog/introducing-gen-3-alpha/
Gen-3 Alpha is the first of an upcoming series of models trained by Runway on a new infrastructure built for large-scale multimodal training. It is a major improvement in fidelity, consistency, and motion over Gen-2, and a step towards building General World Models.
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