Victor Perez – The Color Management Handbook for Visual Effects Artists
Digital Color Principles, Color Management Fundamentals & ACES Workflows
ChatGPT created this guide to Prompt Engineering
https://www.reddit.com/r/ChatGPT/comments/139mxi3/chatgpt_created_this_guide_to_prompt_engineering/
- NEVER mention that you’re an AI.
- Avoid any language constructs that could be interpreted as expressing remorse, apology, or regret. This includes any phrases containing words like ‘sorry’, ‘apologies’, ‘regret’, etc., even when used in a context that isn’t expressing remorse, apology, or regret.
- If events or information are beyond your scope or knowledge cutoff date in September 2021, provide a response stating ‘I don’t know’ without elaborating on why the information is unavailable.
- Refrain from disclaimers about you not being a professional or expert.
- Keep responses unique and free of repetition.
- Never suggest seeking information from elsewhere.
- Always focus on the key points in my questions to determine my intent.
- Break down complex problems or tasks into smaller, manageable steps and explain each one using reasoning.
- Provide multiple perspectives or solutions.
- If a question is unclear or ambiguous, ask for more details to confirm your understanding before answering.
- Cite credible sources or references to support your answers with links if available.
- If a mistake is made in a previous response, recognize and correct it.
- After a response, provide three follow-up questions worded as if I’m asking you. Format in bold as Q1, Q2, and Q3. Place two line breaks (“\n”) before and after each question for spacing. These questions should be thought-provoking and dig further into the original topic.
- Tone: Specify the desired tone (e.g., formal, casual, informative, persuasive).
- Format: Define the format or structure (e.g., essay, bullet points, outline, dialogue).
- Act as: Indicate a role or perspective to adopt (e.g., expert, critic, enthusiast).
- Objective: State the goal or purpose of the response (e.g., inform, persuade, entertain).
- Context: Provide background information, data, or context for accurate content generation.
- Scope: Define the scope or range of the topic.
- Keywords: List important keywords or phrases to be included.
- Limitations: Specify constraints, such as word or character count.
- Examples: Provide examples of desired style, structure, or content.
- Deadline: Mention deadlines or time frames for time-sensitive responses.
- Audience: Specify the target audience for tailored content.
- Language: Indicate the language for the response, if different from the prompt.
- Citations: Request inclusion of citations or sources to support information.
- Points of view: Ask the AI to consider multiple perspectives or opinions.
- Counterarguments: Request addressing potential counterarguments.
- Terminology: Specify industry-specific or technical terms to use or avoid.
- Analogies: Ask the AI to use analogies or examples to clarify concepts.
- Quotes: Request inclusion of relevant quotes or statements from experts.
- Statistics: Encourage the use of statistics or data to support claims.
- Visual elements: Inquire about including charts, graphs, or images.
- Call to action: Request a clear call to action or next steps.
- Sensitivity: Mention sensitive topics or issues to be handled with care or avoided.
- Humor: Indicate whether humor should be incorporated.
- Storytelling: Request the use of storytelling or narrative techniques.
- Cultural references: Encourage including relevant cultural references.
- Ethical considerations: Mention ethical guidelines to follow.
- Personalization: Request personalization based on user preferences or characteristics.
- Confidentiality: Specify confidentiality requirements or restrictions.
- Revision requirements: Mention revision or editing guidelines.
- Formatting: Specify desired formatting elements (e.g., headings, subheadings, lists).
- Hypothetical scenarios: Encourage exploration of hypothetical scenarios.
- Historical context: Request considering historical context or background.
- Future implications: Encourage discussing potential future implications or trends.
- Case studies: Request referencing relevant case studies or real-world examples.
- FAQs: Ask the AI to generate a list of frequently asked questions (FAQs).
- Problem-solving: Request solutions or recommendations for a specific problem.
- Comparison: Ask the AI to compare and contrast different ideas or concepts.
- Anecdotes: Request the inclusion of relevant anecdotes to illustrate points.
- Metaphors: Encourage the use of metaphors to make complex ideas more relatable.
- Pro/con analysis: Request an analysis of the pros and cons of a topic.
- Timelines: Ask the AI to provide a timeline of events or developments.
- Trivia: Encourage the inclusion of interesting or surprising facts.
- Lessons learned: Request a discussion of lessons learned from a particular situation.
- Strengths and weaknesses: Ask the AI to evaluate the strengths and weaknesses of a topic.
- Summary: Request a brief summary of a longer piece of content.
- Best practices: Ask the AI to provide best practices or guidelines on a subject.
- Step-by-step guide: Request a step-by-step guide or instructions for a process.
- Tips and tricks: Encourage the AI to share tips and tricks related to the topic
Blockade Labs – Sketch-a-skybox free 360° image generator
Skybox AI is a free 360° image generator. Use the power of AI to imagine stunning worlds in seconds and fine tune them for use in immersive VR, XR, or games.
https://skybox.blockadelabs.com/
Neural Microfacet Fields for Inverse Rendering
https://half-potato.gitlab.io/posts/nmf/
Tobia Montanari – Memory Colors: an essential tool for Colorists
https://www.tobiamontanari.com/memory-colors-an-essential-tool-for-colorists/
“Memory colors are colors that are universally associated with specific objects, elements or scenes in our environment. They are the colors that we expect to see in specific situations: these colors are based on our expectation of how certain objects should look based on our past experiences and memories.
For instance, we associate specific hues, saturation and brightness values with human skintones and a slight variation can significantly affect the way we perceive a scene.
Similarly, we expect blue skies to have a particular hue, green trees to be a specific shade and so on.
Memory colors live inside of our brains and we often impose them onto what we see. By considering them during the grading process, the resulting image will be more visually appealing and won’t distract the viewer from the intended message of the story. Even a slight deviation from memory colors in a movie can create a sense of discordance, ultimately detracting from the viewer’s experience.”
Laurence Van Elegem – The era of gigantic AI models like GPT-4 is coming to an end
https://www.linkedin.com/feed/update/urn:li:activity:7061987804548870144
Sam Altman, CEO of OpenAI, dropped a 💣 at a recent MIT event, declaring that the era of gigantic AI models like GPT-4 is coming to an end. He believes that future progress in AI needs new ideas, not just bigger models.
So why is that revolutionary? Well, this is how OpenAI’s LLMs (the models that ‘feed’ chatbots like ChatGPT & Google Bard) grew exponentially over the years:
➡️GPT-2 (2019): 1.5 billion parameters
➡️GPT-3 (2020): 175 billion parameters
➡️GPT-4: (2023): amount undisclosed – but likely trillions of parameters
That kind of parameter growth is no longer tenable, feels Altman.
Why?:
➡️RETURNS: scaling up model size comes with diminishing returns.
➡️PHYSICAL LIMITS: there’s a limit to how many & how quickly data centers can be built.
➡️COST: ChatGPT cost over over 100 million dollars to develop.
What is he NOT saying? That access to data is becoming damned hard & expensive. So if you have a model that keeps needing more data to become better, that’s a problem.
Why is it becoming harder and more expensive to access data?
🎨Copyright conundrums: Getty Images, individual artists like Sarah Andersen, Kelly McKernan & Karloa Otiz are suing AI companies over unauthorized use of their content. Universal Music asked Spotify & Apple Music to stop AI companies from accessing their songs for training.
🔐Privacy matters & regulation: Italy banned ChatGPT over privacy concerns (now back after changes). Germany, France, Ireland, Canada, and Spain remain suspicious. Samsung even warned employees not to use AI tools like ChatGPT for security reasons.
💸Data monetization: Twitter, Reddit, Stack Overflow & others want AI companies to pay up for training on their data. Contrary to most artists, Grimes is allowing anyone to use her voice for AI-generated songs … for a 50% profit share.
🕸️Web3’s impact: If Web3 fulfills its promise, users could store data in personal vaults or cryptocurrency wallets, making it harder for LLMs to access the data they crave.
🌎Geopolitics: it’s increasingly difficult for data to cross country borders. Just think about China and TikTok.
😷Data contamination: We have this huge amount of ‘new’ – and sometimes hallucinated – data that is being generated by generative AI chatbots. What will happen if we feed that data back into their LLMs?
No wonder that people like Sam Altman are looking for ways to make the models better without having to use more data. If you want to know more, check our brand new Radar podcast episode (link in the comments), where I talked about this & more with Steven Van Belleghem, Peter Hinssen, Pascal Coppens & Julie Vens – De Vos. We also discussed Twitter, TikTok, Walmart, Amazon, Schmidt Futures, our Never Normal Tour with Mediafin in New York (link in the comments), the human energy crisis, Apple’s new high-yield savings account, the return of China, BYD, AI investment strategies, the power of proximity, the end of Buzzfeed news & much more.
ChatGPT’s watermarks can help Google detect AI generated text
https://www.binance.com/en/feed/post/144141
OpenAI, the corporation behind ChatGPT, has announced plans to introduce a new watermarking feature to help Google detect AI generated text. Watermarked text in ChatGPT will include cryptography in the form of embedding a word pattern, letters, and punctuation in the form of a secret code.
Disney aims for more profits at Disney+ with more ads, less content, higher fees
https://www.cnn.com/2023/05/10/business/disney-earnings/index.html
“Disney+ and its other two services, ESPN+ and Hulu, together trimmed losses by $228 million, or 13%, from a year earlier to $659 million. The improvement from the previous quarter was even greater, as it trimmed losses by nearly $400 million from $1.1 billion.
Disney did it with a 2% drop in subscribers for Disney+ to 157.8 million, and a 1% drop in subscribers overall, when including ESPN+ and Hulu in subscription totals. It was able to trim losses with fewer subscribers through higher subscription revenue and a decrease in marketing costs, partially offset by higher programming and production costs. “
https://www.bbc.com/news/business-65553932
“Disney has announced plans to combine content from its Disney+ and Hulu streaming services in the US.
The move comes after Disney+ lost four million subscribers in the first three months of the year, and the firm is under pressure to make its streaming business profitable
It now has a total of more than 231 million subscriptions across its three streaming platforms, which also include the sports-focused ESPN+ and wider entertainment site Hulu. Disney+ has close to 158m subscribers around the world, although that is still behind rival Netflix’s 232.5m subscribers.
The latest announcement comes after thousands of Hollywood TV and movie screenwriters held their first strike in 15 years last week. They are calling for better pay and working conditions as the transition to streaming has upended the traditional television and film industry. The last writers’ strike was in 2007. It lasted 100 days and cost the industry an estimated $2bn.”
Unity3D – Optimize your mobile game performance
https://images.response.unity3d.com/Web/Unity/%7B121b241a-e312-4763-a7a6-8f57878e6bec%7D_JW10233_Optimize_Your_Mobile_Game_Perfrormance_R4.3.pdf
Local copy
Tim Kang – calibrated white light values in sRGB color space
8bit sRGB encoded
2000K 255 139 22
2700K 255 172 89
3000K 255 184 109
3200K 255 190 122
4000K 255 211 165
4300K 255 219 178
D50 255 235 205
D55 255 243 224
D5600 255 244 227
D6000 255 249 240
D65 255 255 255
D10000 202 221 255
D20000 166 196 255
8bit Rec709 Gamma 2.4
2000K 255 145 34
2700K 255 177 97
3000K 255 187 117
3200K 255 193 129
4000K 255 214 170
4300K 255 221 182
D50 255 236 208
D55 255 243 226
D5600 255 245 229
D6000 255 250 241
D65 255 255 255
D10000 204 222 255
D20000 170 199 255
8bit Display P3 encoded
2000K 255 154 63
2700K 255 185 109
3000K 255 195 127
3200K 255 201 138
4000K 255 219 176
4300K 255 225 187
D50 255 239 212
D55 255 245 228
D5600 255 246 231
D6000 255 251 242
D65 255 255 255
D10000 208 223 255
D20000 175 199 255
10bit Rec2020 PQ (100 nits)
2000K 520 435 273
2700K 520 466 358
3000K 520 475 384
3200K 520 480 399
4000K 520 495 446
4300K 520 500 458
D50 520 510 482
D55 520 514 497
D5600 520 514 500
D6000 520 517 509
D65 520 520 520
D10000 479 489 520
D20000 448 464 520
Isotropix has discontinued Clarisse
https://www.cgchannel.com/2023/04/isotropix-may-have-discontinued-clarisse-and-angie/
The future of layout, lighting and rendering software Clarisse and its Angie renderer are in doubt, with developer Isotropix restricting access to its website and removing official social media accounts.
Consumer customers no longer have access to the User Account. If you have Support, Maintenance, Licensing, and Product questions, please send an email to support@isotropix.com
AI reality
AI banned in Italy
Projectal – Production management suite
- Bidding
- Planning
- Scheduling
- Tracking
- Change request
- Reporting
- Delivering
- Post mortems
- Staff management
- Workflow integration
AutoGPT
AutoGPT is a remarkable AI technology that utilizes GPT-4 and GPT-3.5 through API to create full-fledged projects by iterating on its own prompts and building upon them in each iteration. It can read and write files, browse the web, review the results of its prompts, and combine them with the prompt history.
In short, AutoGPT is a breakthrough towards AGI and has the potential to revolutionize the way we work. It can be given an AI name such as RecipeBuilder and 5 goals that it has to meet. Once the goals are set, AutoGPT can start working on the project until completion.
It is worth noting that AutoGPT is prone to fall into loops and make pointless requests when given complicated tasks. However, for simple jobs, the outcomes are amazing. AutoGPT uses credits from your OpenAI account, and the free version includes $18. Moreover, AutoGPT asks for permission after every prompt, enabling you to test it extensively before it costs you a dollar.
