ai artwork
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Teach AI to Work Like a Member of Your Team
“And here’s where the real opportunity emerged: The work graph—which included two months of activity that was vetted and context-rich—could then be used to train the AI tool. Because it captured everything the team deemed important, it provided the AI tool with real-time, human-validated context, which enabled the tool begin working in a way that aligned with how the team actually worked. With this input, the AI tool was able to produce a significantly more complete first draft, reducing iterations and accelerating the path to a final, usable contract. This approach cut the team’s manual effort in drafting each contract by more than half. While they still reviewed and verified the AI-generated output, they required far fewer iterations and much less rework. As a result, the team’s overall throughput in generating contracts increased by nearly 30%.”
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Ai Content Disclosure Reasons
People are often encouraged—or even required—to state that an article, statement, or artwork was made by AI for reasons of transparency, ethics, and trust. Here are the main reasons:
- Transparency and Honesty: It helps readers or viewers understand who—or what—created the content. This prevents misleading audiences into thinking a human wrote or created something when it was generated by a machine.
- Accountability: When AI is involved, it’s important to clarify who is responsible for the output. This is especially true in areas like journalism, academic writing, or legal and medical information, where credibility matters.
- Informed Interpretation: Knowing that a piece was generated by AI can change how someone interprets it. For example, an AI-written poem may not carry the same emotional or autobiographical weight as one by a human.
- Ethical Considerations: Many industries are working to prevent misuse of AI-generated content (e.g., deepfakes, fake news). Disclosing AI authorship helps fight misinformation and supports ethical use of technology.
- Attribution and Intellectual Property: Clarifying the role of AI in a work can help with determining authorship rights and how a work can legally be used or sold.
By ChatGPT
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How Ai works
AI, or artificial intelligence, works by using computer systems to simulate human-like thinking. Here’s a simple breakdown:
1. Learning from Data (Machine Learning)
AI learns patterns from large amounts of data. For example:
- If you feed it lots of pictures of cats and dogs, it learns what features make a cat or a dog.
- This process is called training a model.
2. Neural Networks
A common type of AI uses neural networks, inspired by the human brain.
- It has layers of artificial “neurons” that process information.
- Each layer extracts more complex features from the input (like shapes, colors, or sounds).
3. Decision Making
After training, the AI can:
- Recognize images (e.g. face recognition)
- Understand speech (e.g. virtual assistants)
- Predict outcomes (e.g. stock price trends)
- Generate content (like writing, art, or music)
4. Feedback & Improvement
AI can improve with more data and feedback—this is called reinforcement learning or fine-tuning.
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“When bankers get together for dinner, they discuss art. When artists get together for dinner, they discuss money.”
— Oscar Wilde
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Hayao Miyazaki’s thoughts on an artificial intelligence
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“The man who has no imagination has no wings.”
— Muhammad Ali
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Microsoft Study Finds Relying on AI Kills Your Critical Thinking Skills
“The study does not dispute the idea that there are situations in which AI tools may improve efficiency, but it does raise warning flags about the cost of that. By leaning on AI, workers start to lose the muscle memory they’ve developed from completing certain tasks on their own. They start outsourcing not just the work itself, but their critical engagement with it, assuming that the machine has it handled. So if you’re worried about getting replaced by AI and you’re using it uncritically for your work, you just might create a self-fulfilling prophecy.”
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Veo 2 demo | Beehive
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The Holiday Magic is coming. (Ai)
Developed by WPP Open X, led by VML and supported by Grey, Ogilvy PR, Essence Mediacom, Hogarth and JKR.
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Finding creative ideas
Finding creative ideas can come from a blend of exploration, inspiration, and structure. Here are some techniques you can try:
- Divergent Thinking: Start with brainstorming without limits. Jot down as many ideas as possible, no matter how unconventional. Quantity often leads to quality by pushing past the obvious.
- Mind Mapping: Begin with a core concept and visually branch out with related ideas. This approach can reveal connections you hadn’t considered.
- Combine and Remix: Take two unrelated concepts and see if you can combine them into something new. For example, think about how the paper industry could intersect with environmental education, or how digital platforms can simulate real-world investment.
- Observe and Take Notes: Everyday life is a constant source of inspiration. Notice trends, user pain points, or processes that could be streamlined. Keep a notebook to capture these thoughts, even if they seem random at first.
- Reverse Thinking: Instead of asking “How can I create a great idea?”, try thinking in reverse—consider how not to solve a problem or list “don’ts” for a project. This can lead to breakthrough thinking by clarifying what you do want.
- Draw from Other Industries: Looking at innovation in completely different fields often brings fresh perspectives. For instance, if you’re in the paper industry, examine what the tech or entertainment industries are doing to engage customers and consider how you might apply similar strategies.
- Set Constraints: Ironically, limitations can fuel creativity. Setting a constraint like “this idea must be doable with only one material” forces you to think deeply about how to work within boundaries.
- Collaborate with Others: Bringing other perspectives into the mix can help generate more ideas and refine them. Try brainstorming sessions with people who have different backgrounds or expertise.
- Experiment and Prototype: Sometimes ideas only become clear through trial and error. Don’t wait for a perfect concept—build quick prototypes or mockups to test the feasibility and refine them as you go.
- Take Breaks: Finally, stepping away and engaging in different activities, like a walk or even enjoying a beer, can refresh your mind and lead to unexpected insights.
By ChatGPT
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California legislature passes sweeping AI safety bill
“The bill, which has been a flashpoint for debate in Silicon Valley and beyond, would obligate AI companies operating in California to implement a number of precautions before they train a sophisticated foundation model. Those include making it possible to quickly and fully shut the model down, ensuring the model is protected against ‘unsafe post-training modifications,’ and maintaining a testing procedure to evaluate whether a model or its derivatives is especially at risk of ‘causing or enabling a critical harm.’”